Francis Lam

992 citations
32 papers · 800 · h-index 16

Impact in

Papers in

Francis Lam

32 papers receiving 764 citations

Peers

Francis Lam
Comparison fields: 5 of 97
  • Cellular and Molecular Neuroscience 340
  • Physiology 313
  • Family Practice 11
  • Psychiatry and Mental health 83
  • Behavioral Neuroscience 20
Replace M.K. Sim with:
M.K. Sim Singapore
Akiko Ogawa Japan
Eitan Friedman United States
John Lesnick United States
A. Brack Germany
D.J. Twissell United Kingdom
Chantal Gauthier France
J. Zaagsma Netherlands
George J. Trachte United States
Andrew P. Ray United States
Francis Lam relative to M.K. Sim Singapore M.K. Sim's profile →
Citations per field
00.5×1.5×2.2×
M.K. Sim · 1×
Citations per year

Countries citing papers authored by Francis Lam

Since Specialization
Citations

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

Fields of papers citing papers by Francis Lam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 198996
2 200384
3 199367
4 199163
5 198950
6 199150
7 199437
8 199335
9 199034
10 199228
11 201523
12 200322
13 200421
14 199120
15 200519
16 201217
17 199615
18 199315
19
Cyclic nucleotides and contractility of isolated soleus muscle.
198514
20 200013

About Francis Lam

Francis Lam is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Physiology, Surgery and Animal Science and Zoology, having authored 32 papers that have together received 800 indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (12 papers), Receptor Mechanisms and Signaling (8 papers), Pain Mechanisms and Treatments (5 papers), Pharmacological Effects and Assays (3 papers), Inflammatory mediators and NSAID effects (2 papers), Ion channel regulation and function (2 papers), Coagulation, Bradykinin, Polyphosphates, and Angioedema (2 papers) and Schizophrenia research and treatment (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (340 citations), Physiology (313 citations), Family Practice (11 citations), Psychiatry and Mental health (83 citations) and Behavioral Neuroscience (20 citations). Francis Lam has collaborated with scholars based in United Kingdom, Czechia and Hong Kong. Frequent co-authors include W.R. Ferrell, William R. Ferrell, Dawn I. Velligan, Alexander L. Miller, Larry Ereshefsky, Martin C. S. Wong, Bo Feng, Yang‐Hui He, Shing Wai Wong and Siew C. Ng. Their work appears in journals such as British Journal of Pharmacology, ANZ Journal of Surgery, Regulatory Peptides, Annals of the Rheumatic Diseases and Neuroscience.

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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