RM Cooper-DeHoff
Impact in
- Pharmacology top 2%
- Pharmacogenetics and Drug Metabolism
-
- Blood Pressure and Hypertension Studies
- Antiplatelet Therapy and Cardiovascular Diseases
- Renin-Angiotensin System Studies
- Cardiac electrophysiology and arrhythmias
Papers in
-
- Blood Pressure and Hypertension Studies 3
- Renin-Angiotensin System Studies 1
-
- Pharmacogenetics and Drug Metabolism 2
- Co-authors
- Julie Ann Johnson (6 shared papers)Yan Gong (4 shared papers)Carl J. Pepine (2 shared papers)Nicholas J. Schork (2 shared papers)Mark D. Shriver (1 shared paper)John G. Gums (2 shared papers)Juhee Shin (1 shared paper)Daqing Wang (1 shared paper)
- Journals
- Clinical Pharmacology & Therapeutics (3 papers)Clinical and Translational Science (2 papers)The Pharmacogenomics Journal (1 paper)CPT Pharmacometrics & Systems Pharmacology (1 paper)
- Partner nations
- United StatesSaudi ArabiaQatar
In The Last Decade
RM Cooper-DeHoff
7 papers receiving 349 citations
Peers
Comparison fields: 5 of 45
- Pharmacology 224
- Cardiology and Cardiovascular Medicine 114
- Genetics 64
- Health Informatics 3
- Health Information Management 5
Countries citing papers authored by RM Cooper-DeHoff
This map shows the geographic impact of RM Cooper-DeHoff'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 RM Cooper-DeHoff with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites RM Cooper-DeHoff more than expected).
Fields of papers citing papers by RM Cooper-DeHoff
This network shows the impact of papers produced by RM Cooper-DeHoff. 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 RM Cooper-DeHoff. The network helps show where RM Cooper-DeHoff may publish in the future.
Co-authors
The 25 scholars most cited alongside RM Cooper-DeHoff, 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 | 2017 | 126 | |
| 2 | 2008 | 112 | |
| 3 | 2012 | 40 | |
| 4 | 2015 | 34 | |
| 5 | 2008 | 30 | |
| 6 | 2016 | 12 | |
| 7 | 2016 | 7 |
About RM Cooper-DeHoff
RM Cooper-DeHoff is a scholar working on Cardiology and Cardiovascular Medicine, Pharmacology, Endocrine and Autonomic Systems, Genetics and Molecular Biology, having authored 7 papers that have together received 361 indexed citations. Recurring topics across this work include Blood Pressure and Hypertension Studies (3 papers), Pharmacogenetics and Drug Metabolism (2 papers), Renin-Angiotensin System Studies (1 paper), Genetic Associations and Epidemiology (1 paper), Metabolomics and Mass Spectrometry Studies (1 paper) and Circadian rhythm and melatonin (1 paper). The work is most often cited by research in Pharmacology (224 citations), Cardiology and Cardiovascular Medicine (114 citations), Genetics (64 citations), Health Informatics (3 citations) and Health Information Management (5 citations). RM Cooper-DeHoff has collaborated with scholars based in United States, Saudi Arabia and Qatar. Frequent co-authors include Julie Ann Johnson, Yan Gong, Carl J. Pepine, Nicholas J. Schork, Mark D. Shriver, John G. Gums, Juhee Shin, Daqing Wang, Wolfgang Sadée and Eric Boerwinkle. Their work appears in journals such as Clinical Pharmacology & Therapeutics, Clinical and Translational Science, The Pharmacogenomics Journal 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.