David A Willard

14 papers receiving 489 citations

Peers

David A Willard
Comparison fields: 5 of 90
  • Cardiology and Cardiovascular Medicine 190
  • Pharmaceutical Science 43
  • Pharmacology 58
  • Nutrition and Dietetics 82
  • Endocrinology, Diabetes and Metabolism 72
Replace Sampat M. Singhvi with:
Sampat M. Singhvi Malaysia
K. J. Kripalani United States
E H Ulm United States
John D. Irvin United States
A. E. Till United States
Kenneth L. Duchin United States
DA Willard United States
Peter Bühlmayer Switzerland
R. Brien Canada
E. W�hlin-Boll Sweden
David A Willard relative to Sampat M. Singhvi Malaysia Sampat M. Singhvi's profile →
Citations per field
00.5×
Sampat M. Singhvi · 1×
Citations per year

Countries citing papers authored by David A Willard

Since Specialization
Citations

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

Fields of papers citing papers by David A Willard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David A Willard. 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 David A Willard. The network helps show where David A Willard may publish in the future.

Co-authors

The 25 scholars most cited alongside David A Willard, 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 David A Willard Line = papers co-authored together David A Willard links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1 1980142
2 1982102
3 199069
4 198262
5 198256
6 199132
7 197426
8 199521
9 198015
10 197012
11 198410
12 199010
13 19787
14 19705

About David A Willard

David A Willard is a scholar working on Endocrinology, Diabetes and Metabolism, Pharmacology, Pediatrics, Perinatology and Child Health, Pharmacology and Analytical Chemistry, having authored 14 papers that have together received 569 indexed citations. Recurring topics across this work include Hormonal Regulation and Hypertension (4 papers), Analytical Methods in Pharmaceuticals (3 papers), Pharmacogenetics and Drug Metabolism (3 papers), Pharmacological Effects and Toxicity Studies (2 papers), Antibiotics Pharmacokinetics and Efficacy (2 papers), Lipoproteins and Cardiovascular Health (2 papers), Pharmaceutical studies and practices (2 papers) and Pharmaceutical Economics and Policy (2 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (190 citations), Pharmaceutical Science (43 citations), Pharmacology (58 citations), Nutrition and Dietetics (82 citations) and Endocrinology, Diabetes and Metabolism (72 citations). David A Willard has collaborated with scholars based in United States and Malaysia. Frequent co-authors include Sampat M. Singhvi, Doris N. McKinstry, Bruce H. Migdalof, Kenneth L. Duchin, Robert A. Vukovich, K. J. Kripalani, James M. Shaw, Daisy B. Whigan, Arthur R. DeVault and Eugene Ivashkiv. Their work appears in journals such as Clinical Pharmacology & Therapeutics, The Journal of Clinical Pharmacology, Journal of Pharmaceutical Sciences, The Journal of Clinical Endocrinology & Metabolism and The American Journal of Medicine.

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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