J. A. Johnson

57 papers receiving 2.3k citations

J. A. Johnson's Hit Papers

Clinical Pharmacogenetics Implementation Consortium Guidelines for CYP2C9 and VKORC1 Genotypes and Warfarin Dosing 2011 · 474 citations
4740+5+10Years since publication100200300400

Peers

J. A. Johnson
Comparison fields: 5 of 120
  • Endocrinology 528
  • Pharmacology 552
  • Cardiology and Cardiovascular Medicine 561
  • Molecular Medicine 135
  • Applied Microbiology and Biotechnology 46
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J. A. Johnson relative to Taimour Langaee United States Taimour Langaee's profile →
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Countries citing papers authored by J. A. Johnson

Since Specialization
Citations

This map shows the geographic impact of J. A. Johnson's research. 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 J. A. Johnson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. A. Johnson more than expected).

Fields of papers citing papers by J. A. Johnson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J. A. Johnson. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by J. A. Johnson. The network helps show where J. A. Johnson may publish in the future.

Co-authors

The 25 scholars most cited alongside J. A. Johnson, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with J. A. Johnson Line = papers co-authored together J. A. Johnson links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 59 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Clinical Pharmacogenetics Implementation Consortium Guidelines for CYP2C9 and VKORC1 Genotypes and Warfarin Dosing
Hit paper breakdown →
2011474
2 2011364
3 1996217
4 2002146
5 1994122
6 1971100
7 197376
8 199574
9 197369
10 199166
11 201060
12 199760
13 199553
14 197250
15 200444
16 200443
17 197834
18 199733
19 197227
20 197026

About J. A. Johnson

J. A. Johnson is a scholar working on Cardiology and Cardiovascular Medicine, Pulmonary and Respiratory Medicine, Endocrinology, Diabetes and Metabolism, Molecular Biology and Surgery, having authored 59 papers that have together received 2.4k indexed citations. Recurring topics across this work include Renin-Angiotensin System Studies (17 papers), Hormonal Regulation and Hypertension (9 papers), Blood Pressure and Hypertension Studies (8 papers), Vibrio bacteria research studies (7 papers), Renal and Vascular Pathologies (7 papers), Nitric Oxide and Endothelin Effects (5 papers), Receptor Mechanisms and Signaling (5 papers) and Aquaculture disease management and microbiota (5 papers). The work is most often cited by research in Endocrinology (528 citations), Pharmacology (552 citations), Cardiology and Cardiovascular Medicine (561 citations), Molecular Medicine (135 citations) and Applied Microbiology and Biotechnology (46 citations). J. A. Johnson has collaborated with scholars based in United States, Israel and United Kingdom. Frequent co-authors include James O. Davis, Teri E. Klein, Stuart A. Scott, J. Glenn Morris, A C Wright, Robert T. Witty, Catherine M. Stein, Katrin Sangkuhl, D M Roden and Alan R. Shuldiner. Their work appears in journals such as American Journal of Physiology-Heart and Circulatory Physiology, Experimental Biology and Medicine, Circulation Research, Hypertension and Contraception.

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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