NIH Grant Trends

Explore funding patterns and discover how research areas have evolved over time

Search Grant Trends

Enter a research keyword to analyze NIH funding trends over time

Search Term

opioid

Total Projects

11,726

Total Funding

$8,554,313,610

Time Period

2021-2026

Trend Interpretation

Use this summary to decide whether the keyword looks promising, stable, or too narrow to act on without broader terms.

Cooling

Current momentum

2023

Peak funding year

-80%

Funding change across range

$719,562

Latest average award

Recent activity looks softer than the earlier window. Check adjacent keywords and institute fit before ruling the area out.

Project Count by Year

Number of grants awarded annually

Funding by Year

Total funding amount annually

Funding Distribution by Year

Average funding per project by year (bubble size represents total funding)

New Awards vs Renewals

New applications (Type 1) vs continuations/renewals (Types 2, 3, 5, 7) by year. Early-career researchers primarily compete for new (Type 1) awards.

By Project Count

By Funding Amount

Weekly Updates

Latest funding activity (Week ending 2026-05-03)

New Projects This Week

0

Total funding: $0

Trending Keywords

Recent Opportunity Signals

A short read on whether the latest projects in this topic look useful for job searches, mentor scouting, or lab outreach.

0

High-opportunity leads

0

Likely hiring signals

0

Training-friendly awards

0

Average opportunity score

Run a search first to see where NIH data is pointing right now.

Recently Approved Grants

0 grants approved in the last 7 days

No recent grants found for "opioid" in the last 7 days.

How to Read NIH Funding Trends

NIH funding trends show how many grants were awarded and how much money was allocated to a research area over time. A rising project count usually means growing interest from both applicants and review panels, while a flat or declining count may reflect shifting priorities, terminology changes, or consolidation into larger awards.

When you search a keyword on this page, the tool queries NIH RePORTER for all projects matching that term across the years you select. The results are grouped by fiscal year and displayed as line charts (project count), bar charts (total funding), and scatter plots (average award size). Together, these views help you understand whether a field is expanding, contracting, or holding steady.

It is important to compare at least five years of data before drawing conclusions. A single-year spike or dip can reflect reporting delays, one-time initiatives such as ARRA or COVID supplemental funding, or changes in how NIH categorizes projects. The trend interpretation panel above the charts provides an automated summary to help you contextualize the numbers.

What Affects NIH Funding Patterns

Several factors drive year-to-year changes in NIH funding for any given topic. Congressional appropriations set the overall NIH budget, which then gets distributed across 27 institutes and centers. Each institute publishes funding opportunity announcements that signal which research areas they want to support. When an institute increases its emphasis on a topic, more investigators apply and more awards are made.

Terminology evolution also plays a role. A field that was once called "gene therapy" may now appear under "cell and gene therapy" or "genetic medicine." If you search only one term, you may miss related projects that use updated nomenclature. Try searching multiple related terms and comparing the results to get a fuller picture.

External events such as public health emergencies can cause rapid shifts. During the COVID-19 pandemic, NIH redirected significant resources toward infectious disease research, which temporarily reduced funding in other areas. Understanding these context-dependent shifts prevents misreading a short-term dip as a permanent decline in interest.

Using Trend Data in Grant Applications

Trend data can strengthen the significance section of your grant application. If you can show that NIH investment in your research area has grown steadily over the past five years, reviewers are more likely to see your project as aligned with current priorities. Conversely, if funding is declining, you may need to frame your proposal in a way that connects to a growing adjacent area.

Use the opportunity landscape plot on this page to identify which institutions and agencies are most active in your area. This information helps you target the right NIH institute for your application and identify potential collaborators or letter-of-support writers at well-funded institutions.

Remember that trends are one input among many. A growing field also means more competition, while a niche area with stable funding may offer better odds for a well-positioned application. Pair trend analysis with study section preferences, recent RFA/PA announcements, and conversations with program officers for the most complete picture.

Frequently Asked Questions About NIH Trends

How often is the trend data updated?

The data comes from NIH RePORTER, which updates as new awards are processed. There can be a lag of several weeks between an award decision and its appearance in public records. Our tool queries the API in real time, so you always see the latest available data.

Why does the project count differ from what I see on NIH RePORTER?

Differences can arise from search scope, keyword matching, and fiscal year boundaries. Our tool searches project titles, abstracts, and terms fields. Direct NIH RePORTER searches may use different default fields or include subprojects that we filter out for clarity.

Can I compare multiple keywords at once?

This page supports one keyword per search. To compare topics side by side, use the Compare Topics tool, which shows overlay charts for 2-3 keywords with the same year range.

What do the bubble sizes mean in the scatter plot?

Bubble size represents total funding for that year. Larger bubbles indicate years with higher overall investment. The vertical position shows average award size, so a large bubble high on the chart means both high total funding and high per-project awards.

What these charts are for

Trend charts help you see whether a topic has sustained NIH activity, not whether a single future application will definitely be funded.

Use them to understand direction, institute attention, and mechanism mix before you make a strategic decision.

Avoid common misreads

A single-year drop can reflect terminology changes, reporting lag, or normal cycle variation. Compare multiple years and recent awards together.

For a deeper explanation, read Understanding NIH Grant Trends.

Recommended next step

After reviewing a trend, open the weekly award feed or PI search for the same keyword. That confirms whether the same signal appears in current project data.

Methodology details are documented in Data & Methodology.

Related guides

Read these guides to interpret what the trend lines actually mean before acting on them.

Data Analysis11 min read

Understanding NIH Grant Trends: What the Data Tells You and What It Does Not

A methodological guide to reading NIH funding trends responsibly, comparing years, and avoiding false conclusions from noisy data.

Data Analysis11 min read

How to Use NIH Trend Data to Scout Emerging Research Opportunities

Learn how to read NIH funding trend data without overreacting to noise, and use it to scout stronger research, collaboration, and job opportunities.

Data Analysis12 min read

How to Use Recent NIH Award Data to Time Your Application

A practical workflow for reading recent NIH awards, funding trends, and institute behavior to pick a stronger submission cycle — without overreacting to noise.

Funding Strategy24 min read

Understanding NIH Funding Trends: How to Position Your Research for Success 2025

How to use NIH funding patterns to position a project, choose institutes, and avoid overreading noisy trend shifts.

A snapshot of NIH activity across high-interest research areas, drawn from the public RePORTER feed. Counts and example awards refresh daily. Click any topic to open a full trend analysis.

Alzheimer's disease

Neurodegeneration, biomarkers, and disease-modifying therapies.

3,882 NIH awards in the last 12 months

Recent example awards

  • CONGAS: "Caribbean Omics 'N' Genomics for Alzheimer Study"
    Carlos Cruchaga · WASHINGTON UNIVERSITY, MO · $101,153 · Feb 25, 2026
  • CONGAS: "Caribbean Omics 'N' Genomics for Alzheimer Study"
    Carlos Cruchaga · WASHINGTON UNIVERSITY, MO · $3,086,339 · Feb 19, 2026
  • Alzheimer Disease Genetic Analysis to Identify Potential Therapeutic Targets (ADAPTT)
    Jonathan Haines · CASE WESTERN RESERVE UNIVERSITY, OH · $1,256,627 · Feb 4, 2026

CRISPR & gene editing

Therapeutic gene editing, base editing, and prime editing.

3,573 NIH awards in the last 12 months

Recent example awards

  • CRISPR for tauopathy
    Claire Clelland · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO, CA · $680,792 · Jan 30, 2026
  • Orthogonal CRISPR GEMMs
    MICHAEL MCMANUS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO, CA · $629,170 · Jan 26, 2026
  • Asymmetric CRISPR Approach for Nucleic Acid Quantification
    Changchun Liu · UNIVERSITY OF CONNECTICUT SCH OF MED/DNT, CT · $643,849 · Mar 30, 2026

Cancer immunotherapy

Checkpoint inhibitors, CAR-T, TIL therapy, and beyond.

597 NIH awards in the last 12 months

Recent example awards

  • Cancer Immunotherapy: Basic Mechanisms Informing Clinical Applications & Combinations
    TERRY SHEPPARD · KEYSTONE SYMPOSIA, CO · $5,000 · Mar 3, 2026
  • Gut Microbiome and Cancer Immunotherapy Outcomes in Advanced Renal Cell Carcinoma
    Veronika Fedirko · UNIVERSITY OF TX MD ANDERSON CAN CTR, TX · $927,329 · Mar 3, 2026
  • The GPR171 pathway in cancer immunotherapy
    Yuwen Zhu · UNIVERSITY OF COLORADO DENVER, CO · $355,706 · Apr 2, 2026

GLP-1 & metabolic disease

Diabetes, obesity, and weight-loss therapeutic mechanisms.

232 NIH awards in the last 12 months

Recent example awards

  • GLP-1 Agonists for Preventing Alzheimer's Disease in Mild Cognitive Impairment
    Xiaomo Xiong · UNIVERSITY OF CINCINNATI, OH · $324,000 · Feb 5, 2026
  • Remote Loading of Melanocortin and GLP-1 Peptides in Polymers for Treatment of Obesity
    STEVEN SCHWENDEMAN · UNIVERSITY OF MICHIGAN AT ANN ARBOR, MI · $231,000 · Apr 17, 2026
  • Real world impact of glucagon-like peptide receptor agonist (GLP-1 RA) use on older adults
    JENNIFER ST SAUVER · MAYO CLINIC ROCHESTER, MN · $443,850 · Mar 13, 2026

Long COVID

Post-acute sequelae and chronic infection-driven illness.

121 NIH awards in the last 12 months

Recent example awards

  • Lymphotoxin-dependent control of long COVID
    Alexei Tumanov · UNIVERSITY OF TEXAS HLTH SCIENCE CENTER, TX · $234,715 · Feb 13, 2026
  • REVERSE-Long COVID: A Multicenter Randomized, Placebo-Controlled Clinical Trial of Immunomodulation (with Baricitinib) for Long COVID Related ADRD
    E ELY · VANDERBILT UNIVERSITY MEDICAL CENTER, TN · $6,778,156 · Feb 6, 2026
  • The neuroimmune mechanism of SARS-CoV-2 on synaptic transmission and plasticity
    Jianyang Du · UNIVERSITY OF TENNESSEE HEALTH SCI CTR, TN · $385,080 · Dec 10, 2025