J. Lai

2.1k citations
31 papers · 1.8k · h-index 22

Impact in

Papers in

    • Pain Mechanisms and Treatments 15
    • Receptor Mechanisms and Signaling 11
    • Protein Kinase Regulation and GTPase Signaling 2

J. Lai

29 papers receiving 1.7k citations

Peers

J. Lai
Comparison fields: 5 of 99
  • Cellular and Molecular Neuroscience 914
  • Physiology 962
  • Anesthesiology and Pain Medicine 85
  • Pharmacology 194
  • Neurology 167
Replace Mitsuo Tanabe with:
Mitsuo Tanabe Japan
Yoshinori Yajima Japan
Jing‐Xia Hao Sweden
Juan F. Herrero Spain
Allison Reid Canada
Ilona Obara Poland
Kelley F. Kitto United States
Feng Tao United States
Wolfgang Schröder Germany
Jian‐Tian Qiao China
J. Lai relative to Mitsuo Tanabe Japan Mitsuo Tanabe's profile →
Citations per field
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Citations per year

Countries citing papers authored by J. Lai

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with J. Lai Line = papers co-authored together J. Lai links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000177
2 1987167
3 2003142
4 1996141
5 2006120
6 2003119
7 2001111
8 2010108
9 199595
10 198889
11 199674
12 198757
13 200355
14 201052
15 199146
16 200340
17 200235
18 199133
19 198930
20 199727

About J. Lai

J. Lai is a scholar working on Physiology, Molecular Biology, Cellular and Molecular Neuroscience, Pharmacology and Neurology, having authored 31 papers that have together received 1.8k indexed citations. Recurring topics across this work include Pain Mechanisms and Treatments (15 papers), Receptor Mechanisms and Signaling (11 papers), Neuropeptides and Animal Physiology (11 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), Botulinum Toxin and Related Neurological Disorders (4 papers), Cannabis and Cannabinoid Research (3 papers), Nanoparticle-Based Drug Delivery (2 papers) and Protein Kinase Regulation and GTPase Signaling (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (914 citations), Physiology (962 citations), Anesthesiology and Pain Medicine (85 citations), Pharmacology (194 citations) and Neurology (167 citations). J. Lai has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Michael H. Ossipov, Frank Porreca, Frank Porreca, T. Philip Malan, Todd W. Vanderah, Carl J. Kovelowski, Luis R. Gardell, Hao Sun, J. Craig Venter 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 The Annual Review of Pharmacology and Toxicology.

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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