Foundation for the National Institutes of Health

42.1k citations
501 papers ·

Impact in

  • Nephrology top 5%
    • Chronic Kidney Disease and Diabetes
    • Dialysis and Renal Disease Management
    • Acute Kidney Injury Research
    • Renal Diseases and Glomerulopathies
    • Parathyroid Disorders and Treatments
  • Toxicology top 10%

Papers in

Foundation for the National Institutes of Health

390 papers receiving 33.1k citations

Peers

Foundation for the National Institutes of Health
Comparison fields: 5 of 224
  • Nephrology 6.9k
  • Toxicology 746
  • Geriatrics and Gerontology 719
  • Transplantation 533
  • Physiology 4.7k
Replace Wolters Kluwer Health with:
Wolters Kluwer Health United States
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Foundation for the National Institutes of Health relative to Wolters Kluwer Health United States Wolters Kluwer Health's profile →
Citations per field
00.5×5×10×13.9×
Wolters Kluwer Health · 1×
Citations per year

Countries citing scholars working at Foundation for the National Institutes of Health

Since Specialization
Citations

This map shows the geographic impact of research produced by authors working at Foundation for the National Institutes of Health. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by papers produced at Foundation for the National Institutes of Health with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Foundation for the National Institutes of Health more than expected).

Fields of papers published by authors at Foundation for the National Institutes of Health

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers affiliated with Foundation for the National Institutes of Health at the time of their publication. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers affiliated with Foundation for the National Institutes of Health at the time of their publication.

About Foundation for the National Institutes of Health

In recent decades, authors affiliated with Foundation for the National Institutes of Health have published 501 papers, which have received a total of 42.1k indexed citations . Scholars at this organization have produced 13 papers in Toxicology, 30 papers in Statistics and Probability, 5 papers in Health Informatics, 5 papers in Family Practice and 5 papers in Applied Microbiology and Biotechnology on the topics of Statistical Methods in Clinical Trials (24 papers), Health Systems, Economic Evaluations, Quality of Life (23 papers), CRISPR and Genetic Engineering (21 papers), Mosquito-borne diseases and control (20 papers), Pulmonary Hypertension Research and Treatments (17 papers), Pharmacovigilance and Adverse Drug Reactions (13 papers), Dementia and Cognitive Impairment Research (13 papers) and Biosimilars and Bioanalytical Methods (10 papers). Their work is cited by papers focused on Nephrology (6.9k citations), Toxicology (746 citations), Geriatrics and Gerontology (719 citations), Transplantation (533 citations) and Physiology (4.7k citations). Authors at Foundation for the National Institutes of Health collaborate with scholars in United States, United Kingdom and Canada and have published in prestigious journals including Alzheimer s & Dementia, Drug Safety, JAMA Network Open, Journal of Allergy and Clinical Immunology and Biometrika. Some of Foundation for the National Institutes of Health's most productive authors include John W. Kusek, Paul W. Eggers, Tom Greene, Andrew S. Levey, Christopher H. Schmid, Lesley A. Stevens, Josef Coresh, Yaping Zhang, Frederick Van Lente and Alejandro Castro.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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