P. Leff

5.7k citations
53 papers · 4.8k indexed · 2 hit papers · h-index 28

P. Leff

52 papers receiving 4.6k citations

Hit Papers

Nomenclature and classification of purinoceptors.1.4k19832026199720114008001.2k

Peers

P. Leff
Comparison fields: 5 of 125
  • Physiology 1.9k
  • Cellular and Molecular Neuroscience 1.6k
  • Endocrine and Autonomic Systems 504
  • Molecular Biology 2.6k
  • Physiology 863
Replace Robert F. Bruns with:
Robert F. Bruns United States
T K Harden United States
Gary L. Stiles United States
Peter J. Richardson United Kingdom
Karl‐Norbert Klotz Germany
D P Westfall United States
Dermot M.F. Cooper United States
R. A. John Challiss United Kingdom
Anton D. Michel United Kingdom
G. Alan Robison United States
P. Leff relative to Robert F. Bruns United States Robert F. Bruns's profile →
Citations per field
00.5×1.5×
Robert F. Bruns · 1×
Citations per year

Countries citing papers authored by P. Leff

Since Specialization
Citations

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

Fields of papers citing papers by P. Leff

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20241
2 199889
3 1995144
4 199571
5 199539
6 199482
7 199338
8 19922
9 199226
10 19909
11 199079
12 1990125
13 199048
14 199013
15 1989163
16 1988154
17 19883
18 19877
19 198758
20
Operational models of pharmacological agonismbreakdown →
1983874

About P. Leff

P. Leff is a scholar working on Physiology, Animal Science and Zoology, Cellular and Molecular Neuroscience, Molecular Biology and Physiology, having authored 53 papers that have together received 4.8k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (34 papers), Pharmacological Effects and Assays (13 papers), Adenosine and Purinergic Signaling (12 papers), Neurotransmitter Receptor Influence on Behavior (11 papers), Nitric Oxide and Endothelin Effects (7 papers), Neuropeptides and Animal Physiology (7 papers), Analytical Chemistry and Chromatography (4 papers) and Mast cells and histamine (4 papers). The work is most often cited by research in Physiology (1.9k citations), Cellular and Molecular Neuroscience (1.6k citations), Endocrine and Autonomic Systems (504 citations), Molecular Biology (2.6k citations) and Physiology (863 citations). P. Leff has collaborated with scholars based in United Kingdom, United States and Netherlands. Frequent co-authors include J.W. Black, Bertil B. Fredholm, Kenneth A. Jacobson, Maria P. Abbracchio, Geoffrey Burnstock, John W. Daly, T K Harden, Michael Williams, Heather Giles and Graeme R. Martin. Their work appears in journals such as British Journal of Pharmacology, Journal of Pharmacology and Experimental Therapeutics, Trends in Pharmacological Sciences, Journal of Theoretical Biology and Pharmacological Reviews.

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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