Paul Leff
Impact in
- Physiology top 0.5%
- Adenosine and Purinergic Signaling
- Nitric Oxide and Endothelin Effects
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- Neuropeptides and Animal Physiology
- Neuroscience and Neuropharmacology Research
- Neurotransmitter Receptor Influence on Behavior
Papers in
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- Neuropeptides and Animal Physiology 7
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- Receptor Mechanisms and Signaling 15
- Protein Structure and Dynamics 4
- Chemical Synthesis and Analysis 2
- Co-authors
- Ian A. Dainty (2 shared papers)Iain G. Dougall (4 shared papers)Joseph Goldfarb (1 shared paper)Saul Maayani (1 shared paper)William P. Clarke (1 shared paper)Kelly A. Berg (1 shared paper)Richard A. Bond (2 shared papers)William G. Bardsley (5 shared papers)
- Journals
- Trends in Pharmacological Sciences (11 papers)Nature (2 papers)Biochemical Journal (2 papers)Prostaglandins (1 paper)Bioorganic & Medicinal Chemistry (1 paper)
- Partner nations
- United KingdomUnited StatesCanada
In The Last Decade
Paul Leff
30 papers receiving 2.6k citations
Peers
Comparison fields: 5 of 111
- Physiology 518
- Cellular and Molecular Neuroscience 1.3k
- Molecular Biology 1.9k
- Endocrine and Autonomic Systems 169
- Cardiology and Cardiovascular Medicine 310
Countries citing papers authored by Paul Leff
This map shows the geographic impact of Paul 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 Paul Leff with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paul Leff more than expected).
Fields of papers citing papers by Paul Leff
This network shows the impact of papers produced by Paul 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 Paul Leff. The network helps show where Paul Leff may publish in the future.
Co-authors
The 25 scholars most cited alongside Paul Leff, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1998 | 458 | |
| 2 | 1995 | 446 | |
| 3 | 1995 | 384 | |
| 4 | 1991 | 331 | |
| 5 | 1999 | 249 | |
| 6 | 1997 | 180 | |
| 7 | 1993 | 161 | |
| 8 | 1995 | 76 | |
| 9 | 1995 | 76 | |
| 10 | 1980 | 72 | |
| 11 | 1994 | 65 | |
| 12 | 1997 | 52 | |
| 13 | 1977 | 33 | |
| 14 | 2014 | 29 | |
| 15 | 1990 | 26 | |
| 16 | 1988 | 25 | |
| 17 | 1996 | 18 | |
| 18 | 1998 | 15 | |
| 19 | 1981 | 14 | |
| 20 | 1979 | 14 |
About Paul Leff
Paul Leff is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Physiology, Spectroscopy and Cell Biology, having authored 30 papers that have together received 2.8k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (15 papers), Neuropeptides and Animal Physiology (7 papers), Hemoglobin structure and function (4 papers), Analytical Chemistry and Chromatography (4 papers), Protein Structure and Dynamics (4 papers), Adenosine and Purinergic Signaling (4 papers), Computational Drug Discovery Methods (3 papers) and Chemical Synthesis and Analysis (2 papers). The work is most often cited by research in Physiology (518 citations), Cellular and Molecular Neuroscience (1.3k citations), Molecular Biology (1.9k citations), Endocrine and Autonomic Systems (169 citations) and Cardiology and Cardiovascular Medicine (310 citations). Paul Leff has collaborated with scholars based in United Kingdom, United States and Canada. Frequent co-authors include Ian A. Dainty, Iain G. Dougall, Joseph Goldfarb, Saul Maayani, William P. Clarke, Kelly A. Berg, Richard A. Bond, William G. Bardsley, Charles J. Kennedy and Terry Kenakin. Their work appears in journals such as Trends in Pharmacological Sciences, Nature, Biochemical Journal, Prostaglandins and Bioorganic & Medicinal Chemistry.
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.