Dan Howard
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- Diabetes Treatment and Management 9
- Hormonal Regulation and Hypertension 6
- Pharmacology top 5%
- Pharmacogenetics and Drug Metabolism 4
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- Blood Pressure and Hypertension Studies 8
- Renin-Angiotensin System Studies 8
- Heart Failure Treatment and Management 3
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- Peptidase Inhibition and Analysis 5
- Pharmacology top 10%
- Pharmacogenetics and Drug Metabolism 4
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- Neuropeptides and Animal Physiology 3
- Co-authors
- William P. DoleH. A. DieterichSujata VaidyanathanMarie‐Noëlle BizotRon SaboVenkateswar JarugulaMonica Ligueros‐SaylanYibin Wang
- Journals
- The Journal of Clinical Pharmacology (8 papers)Clinical Pharmacokinetics (4 papers)Current Medical Research and Opinion (3 papers)
- Partner nations
- United StatesSwitzerlandFrance
In The Last Decade
Dan Howard
23 papers receiving 850 citations
Peers
Comparison fields: 5 of 81
- Endocrinology, Diabetes and Metabolism 523
- Pharmacology 105
- Cardiology and Cardiovascular Medicine 253
- Oncology 230
- Pharmacology 101
Countries citing papers authored by Dan Howard
This map shows the geographic impact of Dan Howard'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 Dan Howard with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dan Howard more than expected).
Fields of papers citing papers by Dan Howard
This network shows the impact of papers produced by Dan Howard. 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 Dan Howard. The network helps show where Dan Howard may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Dan Howard, 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 | 2025 | 0 | |
| 2 | 2010 | 14 | |
| 3 | 2010 | 3 | |
| 4 | 2008 | 87 | |
| 5 | 2008 | 14 | |
| 6 | 2008 | 119 | |
| 7 | 2008 | 25 | |
| 8 | 2008 | 9 | |
| 9 | 2008 | 123 | |
| 10 | 2008 | 17 | |
| 11 | 2007 | 56 | |
| 12 | 2007 | 38 | |
| 13 | 2007 | 33 | |
| 14 | 2007 | 64 | |
| 15 | 2007 | 49 | |
| 16 | 2007 | 43 | |
| 17 | 2007 | 33 | |
| 18 | 2007 | 38 | |
| 19 | 2007 | 56 | |
| 20 | 2005 | 10 |
About Dan Howard
Dan Howard is a scholar working on Endocrinology, Diabetes and Metabolism, Cardiology and Cardiovascular Medicine, Pharmacology, Family Practice and Oncology, having authored 24 papers that have together received 891 indexed citations. Recurring topics across this work include Diabetes Treatment and Management (9 papers), Blood Pressure and Hypertension Studies (8 papers), Renin-Angiotensin System Studies (8 papers), Hormonal Regulation and Hypertension (6 papers), Peptidase Inhibition and Analysis (5 papers), Pharmacogenetics and Drug Metabolism (4 papers), Heart Failure Treatment and Management (3 papers) and Neuropeptides and Animal Physiology (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (523 citations), Pharmacology (105 citations), Cardiology and Cardiovascular Medicine (253 citations), Oncology (230 citations) and Pharmacology (101 citations). Dan Howard has collaborated with scholars based in United States, Switzerland and France. Frequent co-authors include William P. Dole, H. A. Dieterich, Sujata Vaidyanathan, Marie‐Noëlle Bizot, Ron Sabo, Venkateswar Jarugula, Monica Ligueros‐Saylan, Yibin Wang, Joelle Campestrini and Gangadhar Sunkara. Their work appears in journals such as The Journal of Clinical Pharmacology, Clinical Pharmacokinetics, Current Medical Research and Opinion, Drug Metabolism and Disposition and JAMA Network Open.
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.