JA Johnson
- Pharmacology top 0.2%
- Pharmacogenetics and Drug Metabolism 6
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- Hormonal Regulation and Hypertension 8
- Biochemistry top 5%
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- Renin-Angiotensin System Studies 4
- Cardiovascular Function and Risk Factors 2
- Statistics and Probability top 5%
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- Nitric Oxide and Endothelin Effects 3
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- Drug Transport and Resistance Mechanisms 2
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- Computational Drug Discovery Methods 2
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- Renal function and acid-base balance 2
- Co-authors
- Brian F. GageStephen B. LiggettSteven G. E. MarshElena DeychDeepak VooraCharles EbyAnn C. BarrettGloria R. Grice
- Journals
- American Journal of Physiology-Legacy Content (11 papers)Clinical Pharmacology & Therapeutics (6 papers)Clinical and Translational Science (2 papers)
- Partner nations
- United StatesUnited KingdomJapan
In The Last Decade
JA Johnson
23 papers receiving 1.6k citations
Hit Papers
Peers
Comparison fields: 5 of 115
- Pharmacology 940
- Endocrinology, Diabetes and Metabolism 367
- Biochemistry 147
- Cardiology and Cardiovascular Medicine 394
- Statistics and Probability 107
Countries citing papers authored by JA Johnson
This map shows the geographic impact of JA 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 JA Johnson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites JA Johnson more than expected).
Fields of papers citing papers by JA Johnson
This network shows the impact of papers produced by JA 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 JA Johnson. The network helps show where JA Johnson may publish in the future.
Co-authorship network
The 25 scholars most cited alongside JA Johnson, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Clinical Pharmacogenetics Implementation Consortium (CPIC) Guideline for Pharmacogenetics‐Guided Warfarin Dosing: 2017 Updatebreakdown → | 2017 | 435 |
| 2 | 2016 | 7 | |
| 3 | 2016 | 11 | |
| 4 | 2015 | 30 | |
| 5 | 2011 | 91 | |
| 6 | Use of Pharmacogenetic and Clinical Factors to Predict the Therapeutic Dose of Warfarinbreakdown → | 2008 | 595 |
| 7 | 2008 | 27 | |
| 8 | 2008 | 98 | |
| 9 | 2003 | 62 | |
| 10 | 1995 | 5 | |
| 11 | 1975 | 21 | |
| 12 | 1973 | 22 | |
| 13 | 1971 | 25 | |
| 14 | 1970 | 2 | |
| 15 | 1970 | 36 | |
| 16 | 1970 | 26 | |
| 17 | 1969 | 62 | |
| 18 | 1969 | 35 | |
| 19 | 1967 | 36 | |
| 20 | 1966 | 23 |
About JA Johnson
JA Johnson is a scholar working on Pharmacology, Endocrinology, Diabetes and Metabolism, Nephrology, Cardiology and Cardiovascular Medicine and Endocrine and Autonomic Systems, having authored 23 papers that have together received 1.7k indexed citations. Recurring topics across this work include Hormonal Regulation and Hypertension (8 papers), Pharmacogenetics and Drug Metabolism (6 papers), Renin-Angiotensin System Studies (4 papers), Nitric Oxide and Endothelin Effects (3 papers), Drug Transport and Resistance Mechanisms (2 papers), Computational Drug Discovery Methods (2 papers), Cardiovascular Function and Risk Factors (2 papers) and Renal function and acid-base balance (2 papers). The work is most often cited by research in Pharmacology (940 citations), Endocrinology, Diabetes and Metabolism (367 citations), Biochemistry (147 citations), Cardiology and Cardiovascular Medicine (394 citations) and Statistics and Probability (107 citations). JA Johnson has collaborated with scholars based in United States, United Kingdom and Japan. Frequent co-authors include Brian F. Gage, Stephen B. Liggett, Steven G. E. Marsh, Elena Deych, Deepak Voora, Charles Eby, Ann C. Barrett, Gloria R. Grice, P. M. Ridker and C.L. Aquilante. Their work appears in journals such as American Journal of Physiology-Legacy Content, Clinical Pharmacology & Therapeutics, Clinical and Translational Science, The Lancet Infectious Diseases and CPT Pharmacometrics & Systems Pharmacology.
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.