P.G. Withrington

52 papers receiving 1.3k citations

Peers

P.G. Withrington
Comparison fields: 5 of 91
  • Hepatology 563
  • Small Animals 106
  • Physiology 322
  • Nephrology 85
  • Cellular and Molecular Neuroscience 209
Replace C. V. Greenway with:
C. V. Greenway Canada
N Yoshimura United States
Thanjavur S. Ravikumar United States
Ewald E. Selkurt United States
Kazunori Murakami Japan
Seymour J. Gray United States
J. B. Scott United States
Robert W. Schrier United States
W T Manders United States
A. T. Veress Canada
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Citations per field
00.5×1.5×2.2×
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Citations per year

Countries citing papers authored by P.G. Withrington

Since Specialization
Citations

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

Fields of papers citing papers by P.G. Withrington

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by P.G. Withrington. 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 P.G. Withrington. The network helps show where P.G. Withrington may publish in the future.

Co-authors

The 21 scholars most cited alongside P.G. Withrington, 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 P.G. Withrington Line = papers co-authored together P.G. Withrington links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Liver blood flow. I. Intrinsic and nervous control of liver blood flow.
1981202
2 1981180
3 1981158
4 196889
5 197385
6 197271
7 198260
8 197848
9 197644
10 197640
11 197735
12 198935
13 198731
14 197731
15 196130
16 197829
17 197725
18 197824
19 196824
20 197720

About P.G. Withrington

P.G. Withrington is a scholar working on Hepatology, Physiology, Surgery, Cellular and Molecular Neuroscience and Cardiology and Cardiovascular Medicine, having authored 52 papers that have together received 1.5k indexed citations. Recurring topics across this work include Liver Disease and Transplantation (22 papers), Organ Transplantation Techniques and Outcomes (13 papers), Neuropeptides and Animal Physiology (13 papers), Nitric Oxide and Endothelin Effects (10 papers), Veterinary Pharmacology and Anesthesia (9 papers), Liver Disease Diagnosis and Treatment (8 papers), Eicosanoids and Hypertension Pharmacology (6 papers) and Renin-Angiotensin System Studies (5 papers). The work is most often cited by research in Hepatology (563 citations), Small Animals (106 citations), Physiology (322 citations), Nephrology (85 citations) and Cellular and Molecular Neuroscience (209 citations). P.G. Withrington has collaborated with scholars based in United Kingdom, Brazil and Switzerland. Frequent co-authors include P. D. Richardson, B. N. Davies, P.D.I. RICHARDSON, E. W. HORTON, A. B. Ayers, Roger Corder, Eleanor Zaimis, Gilberto De Nucci, John R. Vane and P. J. Lowry. Their work appears in journals such as British Journal of Pharmacology, Journal of Cardiovascular Pharmacology, Pflügers Archiv - European Journal of Physiology, The Journal of Physiology and Gastroenterology.

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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