Y Lai

2.7k citations
12 papers · 2.3k · 1 hit paper · h-index 11

Impact in

Papers in

Y Lai

12 papers receiving 2.2k citations

Y Lai's Hit Papers

Comparison of the pharmacology and signal transduction of the human cannabinoid CB1 and CB2 receptors. 1995 · 712 citations
7120+10+20Years since publication200400600

Peers

Y Lai
Comparison fields: 5 of 91
  • Cellular and Molecular Neuroscience 1.3k
  • Pharmacology 1.1k
  • Toxicology 132
  • Endocrine and Autonomic Systems 163
  • Molecular Biology 1.1k
Replace Daniela Schreiber with:
Daniela Schreiber Germany
Natalia Realini Italy
Michael Bayewitch Israel
Timothy J. Petros United States
Areles Molleman United Kingdom
Aase Frandsen Denmark
Keith F. Martin United Kingdom
Guillermo A. Yudowski United States
E Costa United States
Eric Ronken Netherlands
Y Lai relative to Daniela Schreiber Germany Daniela Schreiber's profile →
Citations per field
00.5×1.5×2.1×
Daniela Schreiber · 1×
Citations per year

Countries citing papers authored by Y Lai

Since Specialization
Citations

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

Fields of papers citing papers by Y Lai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

12 of 12 papers shown
#Work
1
Comparison of the pharmacology and signal transduction of the human cannabinoid CB1 and CB2 receptors.
Hit paper breakdown →
1995712
2 1995488
3 1985281
4 1986262
5 1994136
6 198786
7 198877
8 198470
9 199069
10 199258
11 200052
12
Structure and modulation of voltage-sensitive sodium and calcium channels.
19906

About Y Lai

Y Lai is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Cell Biology, Pharmacology and Surgery, having authored 12 papers that have together received 2.3k indexed citations. Recurring topics across this work include Ion channel regulation and function (5 papers), Neuroscience and Neuropharmacology Research (4 papers), Protein Kinase Regulation and GTPase Signaling (3 papers), Cellular transport and secretion (2 papers), Biotin and Related Studies (2 papers), Cannabis and Cannabinoid Research (2 papers), Mitochondrial Function and Pathology (2 papers) and TGF-β signaling in diseases (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (1.3k citations), Pharmacology (1.1k citations), Toxicology (132 citations), Endocrine and Autonomic Systems (163 citations) and Molecular Biology (1.1k citations). Y Lai has collaborated with scholars based in United States and France. Frequent co-authors include Paul Greengard, Ken Mackie, Angus C. Nairn, R. Westenbroek, T L McGuinness, Eileen M. Briley, R. L. Mitchell, Christian C. Felder, Fred S. Gorelick and William A. Catterall. Their work appears in journals such as Journal of Biological Chemistry, Proceedings of the National Academy of Sciences, Journal of Neuroscience, Molecular Pharmacology and Developmental Biology.

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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