Category
Data Analysis
Trend interpretation, funding-pattern analysis, and how to avoid overreading the data.
6 guides in this category
GLP-1 Clinical Trials Are Reshaping Half of Medicine: What to Watch in 2026
A researcher-focused look at how GLP-1 trials have expanded beyond obesity into cardiovascular, kidney, heart failure, Alzheimer’s, and addiction medicine, and what it means for grant strategy.
CAR-T for Autoimmune Disease: The Clinical Trial Wave Reshaping Lupus Research
What the CD19 CAR-T autoimmune trials actually show across lupus, myositis, systemic sclerosis, myasthenia gravis, and MS, and where the open scientific questions sit for researchers planning grants.
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.
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.
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.
NIH Funding Success Rate by Topic: How to Compare Research Areas Honestly
Topic-level NIH success rates cannot be computed from public award data — RePORTER shows funded grants, not applications. Here is what you can actually infer about a research area, and how to do it without fooling yourself.
Other categories
Grant Basics
4 guidesMechanisms, study sections, activity codes, and the core NIH funding process.
Funding Strategy
14 guidesHow to position projects, choose institutes, and interpret the broader funding landscape.
Grant Application Guide
6 guidesStep-by-step application workflows from concept to submission and award.
Grant Writing Tips
10 guidesPractical writing and reviewer-readability tactics for stronger applications.
Career Award
2 guidesTransition and career-development mechanisms for moving toward independence.
Rankings
1 guideInstitutional funding concentration, rankings, and how to interpret them responsibly.
Postdoc Guide
1 guideFunding and career strategy for postdoctoral researchers.
PhD Guide
1 guidePredoctoral funding paths and planning guidance for graduate trainees.
Career Guide
3 guidesTactical PI search, outreach, and job-scoping workflows.
Grant Management
1 guideOperational decision-making after delays, freezes, or award changes.
Trust & Transparency
How this content is reviewed before it goes live
NIH Grant Explorer combines public NIH records with editorial interpretation. We publish the review structure, methodology, and correction pathways so readers can judge the value of a guide or chart for themselves.
When a topic turns into an official policy question, we point readers back to NIH rather than pretending an independent site can replace the underlying federal guidance.
Contributors & Review Desks
See how data, strategy, and career-focused pages are reviewed.
Editorial Guidelines
How we source, update, and correct articles and tool explanations.
Data & Methodology
Refresh cadence, public-source coverage, and chart caveats.
Corrections & Contact
Send corrections, feedback, or contributor inquiries.
