Gilbert N. Lam

986 citations
43 papers · 787 · h-index 16

Impact in

    • Pharmacogenetics and Drug Metabolism
    • Antibiotics Pharmacokinetics and Efficacy
  • Hematology top 10%
    • Blood Coagulation and Thrombosis Mechanisms

Papers in

    • Receptor Mechanisms and Signaling 4
    • Biochemical and Molecular Research 3
    • Antibiotics Pharmacokinetics and Efficacy 5
    • Pharmacogenetics and Drug Metabolism 4

Gilbert N. Lam

41 papers receiving 759 citations

Peers

Gilbert N. Lam
Comparison fields: 5 of 105
  • Pharmacology 85
  • Hematology 86
  • Organic Chemistry 195
  • Virology 29
  • Pharmaceutical Science 36
Replace Poe‐Hirr Hsyu with:
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Peter R. Gwilt United States
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Hyung‐Doo Park South Korea
Edward E. Nishizawa United States
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Citations per field
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Citations per year

Countries citing papers authored by Gilbert N. Lam

Since Specialization
Citations

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

Fields of papers citing papers by Gilbert N. Lam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199696
2 199967
3 199844
4 199444
5 199942
6 200641
7 200540
8 200435
9 198230
10 199630
11
Arterial-venous plasma concentration differences of six drugs in the dog and rabbit after intravenous administration.
198127
12 201024
13 199723
14 198223
15 200117
16 198716
17 198115
18 198514
19 202214
20 198114

About Gilbert N. Lam

Gilbert N. Lam is a scholar working on Molecular Biology, Pharmacology, Pharmacology, Pediatrics, Perinatology and Child Health and Analytical Chemistry, having authored 43 papers that have together received 787 indexed citations. Recurring topics across this work include Analytical Methods in Pharmaceuticals (6 papers), Antibiotics Pharmacokinetics and Efficacy (5 papers), Receptor Mechanisms and Signaling (4 papers), Pharmacogenetics and Drug Metabolism (4 papers), HIV/AIDS drug development and treatment (4 papers), Pharmacological Effects and Toxicity Studies (4 papers), Acute Lymphoblastic Leukemia research (3 papers) and Biochemical and Molecular Research (3 papers). The work is most often cited by research in Pharmacology (85 citations), Hematology (86 citations), Organic Chemistry (195 citations), Virology (29 citations) and Pharmaceutical Science (36 citations). Gilbert N. Lam has collaborated with scholars based in United States, Canada and Netherlands. Frequent co-authors include Win L. Chiou, Ronald M. Klabe, Susan Erickson‐Viitanen, Beverly C. Cordova, K.P. Galvin, S.J. Pratten, Mei‐Ling Chen, Alvin Wong, Chong‐Hwan Chang and Milind Javle. Their work appears in journals such as Bioorganic & Medicinal Chemistry Letters, Journal of Pharmaceutical Sciences, Drug Metabolism and Disposition, Journal of Medicinal Chemistry and Cancer Chemotherapy and 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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