William Lam

26 papers receiving 851 citations

Peers

William Lam
Comparison fields: 5 of 85
  • Endocrine and Autonomic Systems 65
  • Endocrinology, Diabetes and Metabolism 132
  • Oncology 179
  • Cardiology and Cardiovascular Medicine 117
  • Orthopedics and Sports Medicine 43
Replace Mariette Barthelmebs with:
Mariette Barthelmebs France
Kazushi Watanabe Japan
Kuniko Horie Japan
Osamu Uyama Japan
Rob Janssen Netherlands
Michael T. Falduto United States
Masafumi Haji Japan
Alison E. Harvey United States
Dominique Larrouy France
Andreas Bergdahl Canada
William Lam relative to Mariette Barthelmebs France Mariette Barthelmebs's profile →
Citations per field
00.5×1.6×
Mariette Barthelmebs · 1×
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 200599
2 198078
3
Acid phosphatases in human plasma.
197377
4 197872
5 199569
6 197949
7 197848
8 197946
9
Cytochemistry of tartrate-resistant acid phosphatase: 15 years' experience.
198746
10 198743
11 198138
12 198237
13 199737
14 199431
15 199724
16 199222
17 199722
18 199620
19 198515
20 198615

About William Lam

William Lam is a scholar working on Molecular Biology, Physiology, Surgery, Oncology and Endocrinology, Diabetes and Metabolism, having authored 26 papers that have together received 918 indexed citations. Recurring topics across this work include Bone health and treatments (5 papers), Alkaline Phosphatase Research Studies (5 papers), Heart Rate Variability and Autonomic Control (3 papers), Lipoproteins and Cardiovascular Health (3 papers), Asthma and respiratory diseases (3 papers), Neuropeptides and Animal Physiology (3 papers), Pharmacological Effects and Assays (2 papers) and Cancer, Lipids, and Metabolism (2 papers). The work is most often cited by research in Endocrine and Autonomic Systems (65 citations), Endocrinology, Diabetes and Metabolism (132 citations), Oncology (179 citations), Cardiology and Cardiovascular Medicine (117 citations) and Orthopedics and Sports Medicine (43 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, Leslie C. Lai and Andrew L. Gundlach. Their work appears in journals such as Clinical Chemistry, Clinical and Experimental Pharmacology and Physiology, Neuroscience, Clinical & Experimental Allergy and Blood Pressure.

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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