P. Leff

5.7k total citations · 2 hit papers
53 papers, 4.8k citations indexed

About

P. Leff is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Animal Science and Zoology. According to data from OpenAlex, P. Leff has authored 53 papers receiving a total of 4.8k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Molecular Biology, 18 papers in Cellular and Molecular Neuroscience and 13 papers in Animal Science and Zoology. Recurrent topics in P. Leff's work include Receptor Mechanisms and Signaling (34 papers), Pharmacological Effects and Assays (13 papers) and Adenosine and Purinergic Signaling (12 papers). P. Leff is often cited by papers focused on Receptor Mechanisms and Signaling (34 papers), Pharmacological Effects and Assays (13 papers) and Adenosine and Purinergic Signaling (12 papers). P. Leff collaborates with scholars based in United Kingdom, United States and Netherlands. P. Leff's co-authors include J.W. Black, Bertil B. Fredholm, John W. Daly, Maria P. Abbracchio, Michael Williams, T K Harden, Kenneth A. Jacobson, Geoffrey Burnstock, Heather Giles and Graeme R. Martin and has published in prestigious journals such as The Journal of Physical Chemistry, Pharmacological Reviews and Annals of the New York Academy of Sciences.

In The Last Decade

P. Leff

52 papers receiving 4.6k citations

Hit Papers

Nomenclature and classification of purinoceptors. 1983 2026 1997 2011 1994 1983 400 800 1.2k

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
P. Leff United Kingdom 28 2.6k 1.9k 1.6k 863 527 53 4.8k
Robert F. Bruns United States 37 3.7k 1.4× 2.9k 1.5× 2.5k 1.6× 752 0.9× 518 1.0× 64 6.7k
Ivar von Kügelgen Germany 39 2.5k 1.0× 3.2k 1.6× 1.3k 0.8× 857 1.0× 615 1.2× 100 5.3k
T K Harden United States 50 5.3k 2.0× 2.8k 1.5× 2.8k 1.7× 1.2k 1.4× 594 1.1× 89 8.4k
Peter J. Richardson United Kingdom 45 2.6k 1.0× 2.0k 1.0× 2.0k 1.3× 598 0.7× 1.7k 3.1× 168 6.4k
Marlene A. Jacobson United States 35 2.4k 0.9× 1.9k 1.0× 1.8k 1.1× 444 0.5× 194 0.4× 75 4.9k
Gary L. Stiles United States 51 4.8k 1.9× 4.7k 2.4× 2.3k 1.4× 904 1.0× 718 1.4× 122 8.1k
Günther Schmalzing Germany 45 2.4k 0.9× 2.4k 1.2× 912 0.6× 526 0.6× 307 0.6× 113 4.8k
Dermot M.F. Cooper United States 61 7.8k 3.0× 1.6k 0.8× 3.6k 2.3× 1.5k 1.7× 952 1.8× 163 10.7k
Diana L. Donnelly‐Roberts United States 35 2.8k 1.1× 1.5k 0.8× 985 0.6× 649 0.8× 105 0.2× 80 4.8k
Günter Lambrecht Germany 30 1.3k 0.5× 1.2k 0.6× 707 0.4× 371 0.4× 234 0.4× 84 2.7k

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 of co-authors of P. Leff

This figure shows the co-authorship network connecting the top 25 collaborators of P. Leff. A scholar is included among the top collaborators of P. Leff based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with P. Leff. P. Leff is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Shubin, Andrew D., P. Leff, Meng‐Lun Hsieh, et al.. (2025). Racial and Ethnic Disparities in Survival among Patients with Cholangiocarcinoma in the United States: A Systematic Review and Meta-analysis. Cancer Epidemiology Biomarkers & Prevention. 34(10). 1776–1786.
2.
Humphries, Robert G., Mark J. Robertson, & P. Leff. (1995). A novel series of P2T purinoceptor antagonists: definition of the role of ADP in arterial thrombosis. Trends in Pharmacological Sciences. 16(6). 179–181. 71 indexed citations
3.
Humphries, Robert G., Wendy Tomlinson, J. A. Clegg, et al.. (1995). Pharmacological profile of the novel P2T‐purinoceptor antagonist, FPL 67085 in vitro and in the anaesthetized rat in vivo. British Journal of Pharmacology. 115(6). 1110–1116. 39 indexed citations
4.
Beukers, Margot W., et al.. (1994). Pharmacological analysis of ecto‐ATPase inhibition: evidence for combined enzyme inhibition and receptor antagonism in P2X‐purinoceptor ligands. British Journal of Pharmacology. 113(4). 1432–1438. 82 indexed citations
5.
Robertson, Mark J., et al.. (1994). Agonist-antagonist interactions at angiotensin receptors: application of a two-state receptor model. Trends in Pharmacological Sciences. 15(10). 364–369. 62 indexed citations
6.
Humphries, Robert G., et al.. (1994). FPL 66096: a novel, highly potent and selective antagonist at human platelet P2T‐purinoceptors. British Journal of Pharmacology. 113(3). 1057–1063. 86 indexed citations
7.
Leff, P., et al.. (1993). Estimation of partial agonist affinity by interaction with a full agonist: a direct operational model‐fitting approach. British Journal of Pharmacology. 110(1). 239–244. 38 indexed citations
9.
Dougall, Iain G., et al.. (1991). Estimation of the efficacy and affinity of the β2‐adrenoceptor agonist salmeterol in guinea‐pig trachea. British Journal of Pharmacology. 104(4). 1057–1061. 44 indexed citations
10.
Humphries, Robert G., et al.. (1990). Inhibition of Collagen- and ADP-Induced Platelet Aggregation by Substance P In Vivo. Journal of Cardiovascular Pharmacology. 16(2). 292–297. 9 indexed citations
11.
Leff, P., Beverley Wood, & Stephen E. O'Connor. (1990). Suramin is a slowly‐equilibrating but competitive antagonist at P2x‐receptors in the rabbit isolated ear artery. British Journal of Pharmacology. 101(3). 645–649. 125 indexed citations
12.
O'Connor, Stephen E., Beverley Wood, & P. Leff. (1990). Characterization of P2x‐receptors in rabbit isolated ear artery. British Journal of Pharmacology. 101(3). 640–644. 48 indexed citations
14.
Squire, Anthony, et al.. (1989). ADP-beta-F is not a selective P2y-receptor agonist in rabbit jugular vein.. PubMed. 98 Suppl. 794P–794P. 4 indexed citations
15.
Leff, P. & Iain G. Dougall. (1989). Estimation of affinities and efficacies for κ‐receptor agonists in guinea‐pig ileum. British Journal of Pharmacology. 96(3). 702–706. 9 indexed citations
16.
Giles, Heather & P. Leff. (1988). The biology and pharmacology of PGD2. Prostaglandins. 35(2). 277–300. 154 indexed citations
17.
Leff, P.. (1987). An analysis of amplifying and potentiating interactions between agonists.. Journal of Pharmacology and Experimental Therapeutics. 243(3). 1035–1042. 19 indexed citations
18.
Black, J.W., P. Leff, & Nigel P. Shankley. (1985). Pharmacological analysis of the pentagastrin‐tiotidine interaction in the mouse isolated stomach. British Journal of Pharmacology. 86(3). 589–599. 36 indexed citations
19.
Black, J.W., V.P. Gerskowitch, P. Leff, & Nigel P. Shankley. (1985). Pharmacological analysis of β‐adrenoceptor‐mediated agonism in the guinea‐pig, isolated, right atrium. British Journal of Pharmacology. 84(3). 779–785. 18 indexed citations
20.
Black, J.W. & P. Leff. (1983). Operational models of pharmacological agonism. Proceedings of the Royal Society of London. Series B, Biological sciences. 220(1219). 141–162. 874 indexed citations breakdown →

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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