DA Willard

732 citations
18 papers · 592 indexed · h-index 13

DA Willard

17 papers receiving 535 citations

Peers

DA Willard
Comparison fields: 5 of 80
  • Pharmacology 91
  • Medical Terminology 2
  • Analytical Chemistry 74
  • Pharmacology 118
  • Cardiology and Cardiovascular Medicine 140
Replace B. Kaufmann with:
B. Kaufmann Germany
A.N. Chremos United States
S. M. Singhvi United States
James M. Jaffe United States
Henry J. Pieniaszek United States
E. W�hlin-Boll Sweden
R. Zacest Australia
Kenneth L. Duchin United States
Richard P. Koshakji United States
Peter H. Hinderling United States
DA Willard relative to B. Kaufmann Germany B. Kaufmann's profile →
Citations per field
00.5×1.5×
B. Kaufmann · 1×
Citations per year

Countries citing papers authored by DA Willard

Since Specialization
Citations

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

Fields of papers citing papers by DA Willard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

18 of 18 papers shown
#Work
1 19947
2 199316
3 199137
4
Comparative efficacy of once-daily versus twice-daily pravastatin in primary hypercholesterolemia.
19914
5 1990155
6 198824
7 198815
8 19886
9 198883
10 198616
11 198415
12 19844
13 197928
14 197936
15 197733
16 197763
17 197650
18
[Hippuran clearance rate test in childhood. Apropos of a technic without collection of urine].
19690

About DA Willard

DA Willard is a scholar working on Anesthesiology and Pain Medicine, Pharmacology, Analytical Chemistry, Pharmacology and Pediatrics, Perinatology and Child Health, having authored 18 papers that have together received 592 indexed citations. Recurring topics across this work include Pharmaceutical studies and practices (5 papers), Lipoproteins and Cardiovascular Health (4 papers), Pharmacogenetics and Drug Metabolism (3 papers), Antibiotics Pharmacokinetics and Efficacy (3 papers), Analytical Methods in Pharmaceuticals (3 papers), Inflammatory mediators and NSAID effects (2 papers), Renin-Angiotensin System Studies (2 papers) and Anesthesia and Sedative Agents (2 papers). The work is most often cited by research in Pharmacology (91 citations), Medical Terminology (2 citations), Analytical Chemistry (74 citations), Pharmacology (118 citations) and Cardiology and Cardiovascular Medicine (140 citations). DA Willard has collaborated with scholars based in United States, Malaysia and Germany. Frequent co-authors include S. M. Singhvi, Jacques Dreyfuss, James M. Shaw, Robert I. Misbin, John J. Canary, M Frantz, Robert A. Vukovich, Kenneth L. Duchin, Joseph Triscari and William A. Creasey. Their work appears in journals such as British Journal of Clinical Pharmacology, The Journal of Clinical Pharmacology, European Journal of Clinical Pharmacology, Clinical Pharmacology & Therapeutics and Neonatology.

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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