Dan Howard

1.1k citations
24 papers · 925 · h-index 17

Impact in

Papers in

Dan Howard

24 papers receiving 880 citations

Peers

Dan Howard
Comparison fields: 5 of 81
  • Endocrinology, Diabetes and Metabolism 477
  • Cardiology and Cardiovascular Medicine 251
  • Pharmacology 90
  • Oncology 184
  • Pharmacology 78
Replace Venkateswar Jarugula with:
Venkateswar Jarugula United States
Nancy C. Sambol United States
Iris Rajman Switzerland
Bernard E. Ilson United States
Eva Ludwig-Schwellinger Germany
David J. Kazierad United States
Aditi Sapre United States
Arne Ring Germany
J. Wagner Germany
Stefan Blech Germany
Dan Howard relative to Venkateswar Jarugula United States Venkateswar Jarugula's profile →
Citations per field
00.5×3.5×
Venkateswar Jarugula · 1×
Citations per year

Countries citing papers authored by Dan Howard

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

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.

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008131
2 2008121
3 200890
4 200765
5 200758
6 200757
7 200754
8 200745
9 200739
10 200738
11 200733
12 200733
13 201333
14 200825
15 200821
16 201017
17 200817
18 200815
19 200510
20 20089

About Dan Howard

Dan Howard is a scholar working on Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism, Oncology, Molecular Biology and Cellular and Molecular Neuroscience, having authored 24 papers that have together received 925 indexed citations. Recurring topics across this work include Renin-Angiotensin System Studies (9 papers), Diabetes Treatment and Management (8 papers), Blood Pressure and Hypertension Studies (5 papers), Peptidase Inhibition and Analysis (4 papers), Heart Failure Treatment and Management (3 papers), Neuropeptides and Animal Physiology (3 papers), Hormonal Regulation and Hypertension (3 papers) and Pharmacogenetics and Drug Metabolism (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (477 citations), Cardiology and Cardiovascular Medicine (251 citations), Pharmacology (90 citations), Oncology (184 citations) and Pharmacology (78 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, Venkateswar Jarugula, Ron Sabo, 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 British Journal of Clinical 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.

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