F.M. Lai

469 citations
31 papers · 381 · h-index 12

Impact in

Papers in

F.M. Lai

30 papers receiving 349 citations

Peers

F.M. Lai
Comparison fields: 5 of 74
  • Biochemistry 50
  • Cardiology and Cardiovascular Medicine 117
  • Physiology 118
  • Cellular and Molecular Neuroscience 73
  • Neurology 27
Replace Katsuharu Tsuchida with:
Katsuharu Tsuchida Japan
Kazuki Matsunaga Japan
Kazushi Minami Japan
Yuichi Hattori Japan
Erich O. Mikkelsen Denmark
M. Grohmann Germany
Stephen J. Humphrey United States
S Bongrani Italy
Fuminori Masugi Japan
K. McKechnie United Kingdom
F.M. Lai relative to Katsuharu Tsuchida Japan Katsuharu Tsuchida's profile →
Citations per field
00.5×1.5×1.8×
Katsuharu Tsuchida · 1×
Citations per year

Countries citing papers authored by F.M. Lai

Since Specialization
Citations

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

Fields of papers citing papers by F.M. Lai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 24 scholars most cited alongside F.M. 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 F.M. Lai Line = papers co-authored together F.M. 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 197556
2 198337
3 198925
4 198024
5 197322
6 198121
7 198320
8 198317
9 198816
10 197815
11 198514
12 199811
13 199411
14 199011
15 198011
16 19949
17 19829
18 19758
19 19828
20 19776

About F.M. Lai

F.M. Lai is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Physiology, Cellular and Molecular Neuroscience and Biochemistry, having authored 31 papers that have together received 381 indexed citations. Recurring topics across this work include Nitric Oxide and Endothelin Effects (8 papers), Receptor Mechanisms and Signaling (7 papers), Renin-Angiotensin System Studies (6 papers), Eicosanoids and Hypertension Pharmacology (6 papers), Protein Hydrolysis and Bioactive Peptides (4 papers), Neuropeptides and Animal Physiology (4 papers), Adenosine and Purinergic Signaling (3 papers) and Quinazolinone synthesis and applications (3 papers). The work is most often cited by research in Biochemistry (50 citations), Cardiology and Cardiovascular Medicine (117 citations), Physiology (118 citations), Cellular and Molecular Neuroscience (73 citations) and Neurology (27 citations). F.M. Lai has collaborated with scholars based in United States and China. Frequent co-authors include Peter Cervoni, S. Spector, Sidney Udenfriend, Patricia M. Hudgins, Allan Wissner, John L. Egle, J. Donald Albright, Francis J. McEvoy, Barry A. Berkowitz and Joseph Coupet. Their work appears in journals such as Life Sciences, British Journal of Pharmacology, Toxicology and Applied Pharmacology, Bioorganic & Medicinal Chemistry Letters and European Journal of Pharmacology.

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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