B. Whiting

3.0k citations
106 papers · 2.4k · h-index 29

Impact in

Papers in

B. Whiting

103 papers receiving 2.1k citations

Peers

B. Whiting
Comparison fields: 5 of 133
  • Transplantation 115
  • Pharmacology 312
  • Statistics and Probability 293
  • Pharmacology 443
  • Pediatrics, Perinatology and Child Health 406
Replace Thomas M. Ludden with:
Thomas M. Ludden United States
Michel Tod France
Carl C. Peck United States
Samuel Vožeh Switzerland
J. Robert Powell United States
Davide Verotta United States
Jeffrey S. Barrett United States
George R. Aronoff United States
Jörg Lippert Germany
Jeffrey R. Koup United States
B. Whiting relative to Thomas M. Ludden United States Thomas M. Ludden's profile →
Citations per field
00.5×1.5×2.3×
Thomas M. Ludden · 1×
Citations per year

Countries citing papers authored by B. Whiting

Since Specialization
Citations

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

Fields of papers citing papers by B. Whiting

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 106 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1986133
2 1992123
3 1976109
4 1990103
5 199374
6 198068
7 198264
8 199362
9 197855
10 198150
11 199250
12 199548
13 198747
14 198946
15 198444
16 198044
17 197844
18 198042
19 197439
20 198937

About B. Whiting

B. Whiting is a scholar working on Pharmacology, Cardiology and Cardiovascular Medicine, Pediatrics, Perinatology and Child Health, Analytical Chemistry and Statistics and Probability, having authored 106 papers that have together received 2.4k indexed citations. Recurring topics across this work include Antibiotics Pharmacokinetics and Efficacy (16 papers), Analytical Methods in Pharmaceuticals (16 papers), Statistical Methods in Clinical Trials (13 papers), Pharmaceutical studies and practices (11 papers), Pharmacogenetics and Drug Metabolism (10 papers), Cardiac electrophysiology and arrhythmias (9 papers), Pharmacological Effects and Toxicity Studies (7 papers) and Heart Rate Variability and Autonomic Control (6 papers). The work is most often cited by research in Transplantation (115 citations), Pharmacology (312 citations), Statistics and Probability (293 citations), Pharmacology (443 citations) and Pediatrics, Perinatology and Child Health (406 citations). B. Whiting has collaborated with scholars based in United Kingdom, United States and Switzerland. Frequent co-authors include Andrew W. Kelman, A. W. Kelman, Joachim Grevel, Sylvia M. Wallace, D. J. Sumner, Catherine A. Howie, Ene Ette, Alison H. Thomson, J. R. Lawrence and Nicholas H. G. Holford. Their work appears in journals such as British Journal of Clinical Pharmacology, European Journal of Clinical Pharmacology, The Lancet, Therapeutic Drug Monitoring and Clinical Pharmacokinetics.

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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