William Lam

26 papers receiving 827 citations

Peers

William Lam
Comparison fields: 5 of 89
  • Endocrine and Autonomic Systems 73
  • Endocrinology, Diabetes and Metabolism 163
  • Oncology 191
  • Cardiology and Cardiovascular Medicine 147
  • Biological Psychiatry 16
Replace Mariette Barthelmebs with:
Mariette Barthelmebs France
Gen Wen United States
S. L. Lee United States
Kuniko Horie Japan
Faiz Mumtaz United Kingdom
Rob Janssen Netherlands
Masafumi Haji Japan
William M. Isenberg United States
Osamu Uyama Japan
Sara F. Rabito United States
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Citations per field
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Citations per year

Countries citing papers authored by William Lam

Since Specialization
Citations

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

Fields of papers citing papers by William Lam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200597
2 198073
3 197871
4
Acid phosphatases in human plasma.
197370
5 199569
6 197947
7
Cytochemistry of tartrate-resistant acid phosphatase: 15 years' experience.
198745
8 197943
9 197842
10 198742
11 198237
12 199736
13 198135
14 199430
15 199724
16 199722
17 199221
18 199620
19 199713
20 198613

About William Lam

William Lam is a scholar working on Molecular Biology, Physiology, Surgery, Cellular and Molecular Neuroscience and Cardiology and Cardiovascular Medicine, having authored 26 papers that have together received 878 indexed citations. Recurring topics across this work include Bone health and treatments (5 papers), Alkaline Phosphatase Research Studies (5 papers), Neuropeptides and Animal Physiology (3 papers), Asthma and respiratory diseases (3 papers), Heart Rate Variability and Autonomic Control (3 papers), Lipoproteins and Cardiovascular Health (3 papers), Bone health and osteoporosis research (2 papers) and Cancer, Lipids, and Metabolism (2 papers). The work is most often cited by research in Endocrine and Autonomic Systems (73 citations), Endocrinology, Diabetes and Metabolism (163 citations), Oncology (191 citations), Cardiology and Cardiovascular Medicine (147 citations) and Biological Psychiatry (16 citations). William Lam has collaborated with scholars based in Australia, United States and Hong Kong. Frequent co-authors include L T Yam, Lung T. Yam, Chin-Yang Li, Anthony J.M. Verberne, Anthony J. Janckila, L. G. Howes, William J. Louis, Nora E. Straznicky, Andrew L. Gundlach and Ian Orchard. Their work appears in journals such as Clinical Chemistry, Neuroscience, Blood Pressure, Clinical and Experimental Pharmacology and Physiology and Clinical & Experimental Allergy.

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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