B. Whiting

99 papers receiving 2.1k citations

Peers

B. Whiting
Comparison fields: 5 of 134
  • Transplantation 118
  • Statistics and Probability 301
  • Pharmacology 294
  • Pharmacology 492
  • Analytical Chemistry 231
Replace Michel Tod with:
Michel Tod France
Davide Verotta United States
Carl C. Peck United States
Samuel Vožeh Switzerland
Jeffrey S. Barrett United States
Jörg Lippert Germany
Ene Ette United States
Jeffrey R. Koup United States
V W Steinijans Germany
Wayne A. Colburn United States
B. Whiting relative to Michel Tod France Michel Tod's profile →
Citations per field
00.5×1.5×2.0×
Michel Tod · 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 100 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1986122
2 1992121
3 199096
4 197690
5 198067
6 199365
7 198259
8 199358
9 197852
10 198849
11 199547
12 198747
13 199246
14 198146
15 198944
16 197843
17 198443
18 198043
19 198041
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 100 papers that have together received 2.3k indexed citations. Recurring topics across this work include Antibiotics Pharmacokinetics and Efficacy (16 papers), Analytical Methods in Pharmaceuticals (15 papers), Statistical Methods in Clinical Trials (12 papers), Pharmaceutical studies and practices (11 papers), Pharmacogenetics and Drug Metabolism (8 papers), Cardiac electrophysiology and arrhythmias (8 papers), Asthma and respiratory diseases (7 papers) and Pharmacological Effects and Toxicity Studies (6 papers). The work is most often cited by research in Transplantation (118 citations), Statistics and Probability (301 citations), Pharmacology (294 citations), Pharmacology (492 citations) and Analytical Chemistry (231 citations). B. Whiting has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include Andrew W. Kelman, A. W. Kelman, Joachim Grevel, Sylvia M. Wallace, D. J. Sumner, Alison H. Thomson, Catherine A. Howie, Ene Ette, Nicholas H. G. Holford and Janet R. Wade. 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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