Brian Whiting

3k citations
109 papers · 2.5k · h-index 29

Impact in

Papers in

Brian Whiting

106 papers receiving 2.1k citations

Peers

Brian Whiting
Comparison fields: 5 of 113
  • Pharmacology 571
  • Pediatrics, Perinatology and Child Health 628
  • Geriatrics and Gerontology 113
  • Statistics and Probability 341
  • Transplantation 88
Replace Renato L. Galeazzi with:
Renato L. Galeazzi Switzerland
Volker W. Steinijans Germany
Thomas Kerbusch Netherlands
J. Robert Powell United States
Jack Cook United States
Denis J. Morgan Australia
Mario L. Rocci United States
Karin E. Fattinger Switzerland
Trevor N. Johnson United Kingdom
Raymond Miller United States
Brian Whiting relative to Renato L. Galeazzi Switzerland Renato L. Galeazzi's profile →
Citations per field
00.5×2×3×4×4.9×
Renato L. Galeazzi · 1×
Citations per year

Countries citing papers authored by Brian Whiting

Since Specialization
Citations

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

Fields of papers citing papers by Brian Whiting

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 109 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1986132
2 1992125
3 1976105
4 1990101
5 199380
6 198070
7 198267
8 199364
9 197855
10 198152
11 199251
12 199549
13 198746
14 197844
15 198444
16 198043
17 198042
18 198939
19 197438
20 198937

About Brian Whiting

Brian Whiting is a scholar working on Pharmacology, Pediatrics, Perinatology and Child Health, Statistics and Probability, Cardiology and Cardiovascular Medicine and Pharmacology, having authored 109 papers that have together received 2.5k indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (33 papers), Pharmaceutical studies and practices (27 papers), Statistical Methods in Clinical Trials (15 papers), Antibiotics Pharmacokinetics and Efficacy (10 papers), Chronic Obstructive Pulmonary Disease (COPD) Research (7 papers), Forensic Toxicology and Drug Analysis (7 papers), Analytical Methods in Pharmaceuticals (6 papers) and Blood Pressure and Hypertension Studies (6 papers). The work is most often cited by research in Pharmacology (571 citations), Pediatrics, Perinatology and Child Health (628 citations), Geriatrics and Gerontology (113 citations), Statistics and Probability (341 citations) and Transplantation (88 citations). Brian Whiting has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Andrew W. Kelman, A. W. Kelman, Joachim Grevel, CA Howie, Sylvia M. Wallace, D. J. Sumner, G. J. Addis, Alison H. Thomson, JAMES R. LAWRENCE and Nicholas H. G. Holford. Their work appears in journals such as British Journal of Clinical Pharmacology, The Lancet, European Journal of Clinical Pharmacology, 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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