J. Lai
Impact in
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- Neuropeptides and Animal Physiology
- Neuroscience and Neuropharmacology Research
- Physiology top 2%
- Pain Mechanisms and Treatments
Papers in
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- Receptor Mechanisms and Signaling 11
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- Neuropeptides and Animal Physiology 11
- Nerve injury and regeneration 2
- Co-authors
- Michael H. Ossipov (11 shared papers)Frank Porreca (9 shared papers)Frank Porreca (6 shared papers)Todd W. Vanderah (5 shared papers)T. Philip Malan (5 shared papers)Carl J. Kovelowski (2 shared papers)Luis R. Gardell (4 shared papers)J. Craig Venter (3 shared papers)
- Journals
- Journal of Pharmacology and Experimental Therapeutics (6 papers)Pain (4 papers)Neuroscience (3 papers)Proceedings of the National Academy of Sciences (2 papers)Journal of Pharmaceutical Sciences (1 paper)
- Partner nations
- United StatesChinaAustralia
In The Last Decade
J. Lai
32 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 100
- Cellular and Molecular Neuroscience 899
- Physiology 943
- Anesthesiology and Pain Medicine 95
- Pharmacology 218
- Neurology 175
Countries citing papers authored by J. Lai
This map shows the geographic impact of J. Lai'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 J. Lai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. Lai more than expected).
Fields of papers citing papers by J. Lai
This network shows the impact of papers produced by J. Lai. 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 J. Lai. The network helps show where J. Lai may publish in the future.
Co-authors
The 25 scholars most cited alongside J. Lai, 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 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2000 | 162 | |
| 2 | 1987 | 151 | |
| 3 | 2003 | 133 | |
| 4 | 1996 | 121 | |
| 5 | 2006 | 112 | |
| 6 | 2003 | 108 | |
| 7 | 2010 | 103 | |
| 8 | 2001 | 102 | |
| 9 | 1995 | 90 | |
| 10 | 1988 | 77 | |
| 11 | 1996 | 71 | |
| 12 | 1987 | 52 | |
| 13 | 2010 | 49 | |
| 14 | 2003 | 46 | |
| 15 | 1991 | 39 | |
| 16 | 2003 | 35 | |
| 17 | 2002 | 33 | |
| 18 | 1991 | 32 | |
| 19 | 1989 | 29 | |
| 20 | 1995 | 25 |
About J. Lai
J. Lai is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Physiology, Pharmacology and Neurology, having authored 34 papers that have together received 1.7k indexed citations. Recurring topics across this work include Pain Mechanisms and Treatments (14 papers), Neuropeptides and Animal Physiology (11 papers), Receptor Mechanisms and Signaling (11 papers), Botulinum Toxin and Related Neurological Disorders (4 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), Job Satisfaction and Organizational Behavior (3 papers), Cannabis and Cannabinoid Research (3 papers) and Nerve injury and regeneration (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (899 citations), Physiology (943 citations), Anesthesiology and Pain Medicine (95 citations), Pharmacology (218 citations) and Neurology (175 citations). J. Lai has collaborated with scholars based in United States, China and Australia. Frequent co-authors include Michael H. Ossipov, Frank Porreca, Frank Porreca, Todd W. Vanderah, T. Philip Malan, Carl J. Kovelowski, Luis R. Gardell, J. Craig Venter, Hao Sun and Claire M. Fraser. Their work appears in journals such as Journal of Pharmacology and Experimental Therapeutics, Pain, Neuroscience, Proceedings of the National Academy of Sciences and Journal of Pharmaceutical Sciences.
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.