Sin Man Lam

8.2k citations
137 papers · 4.6k indexed · h-index 36

Impact in

Papers in

    • Metabolomics and Mass Spectrometry Studies 20
    • Sphingolipid Metabolism and Signaling 15
    • Peroxisome Proliferator-Activated Receptors 11
    • Lipid Membrane Structure and Behavior 11
    • Adipose Tissue and Metabolism 19

Sin Man Lam

132 papers receiving 4.5k citations

Peers

Sin Man Lam
Comparison fields: 5 of 135
  • Biochemistry 503
  • Aging 69
  • Molecular Biology 2.4k
  • Physiology 880
  • Cancer Research 408
Replace Chad Brocker with:
Chad Brocker United States
Kazutaka Ikeda Japan
Rick G. Schnellmann United States
Tao Wang China
Grant M. Hatch Canada
Magdalena L. Circu United States
Jianhua Zhang United States
Kozo Utsumi Japan
Ángel Catalá Argentina
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Sin Man Lam relative to Chad Brocker United States Chad Brocker's profile →
Citations per field
00.5×1.5×2.2×
Chad Brocker · 1×
Citations per year

Countries citing papers authored by Sin Man Lam

Since Specialization
Citations

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

Fields of papers citing papers by Sin Man Lam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 137 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013239
2 2019213
3 2019205
4 2020200
5 2019193
6 2011152
7 2019111
8 2017105
9 2019102
10 2013100
11 202196
12 201388
13 201482
14 202181
15 201781
16 201781
17 201481
18 201476
19 202272
20 202071

About Sin Man Lam

Sin Man Lam is a scholar working on Molecular Biology, Physiology, Biochemistry, Epidemiology and Surgery, having authored 137 papers that have together received 4.6k indexed citations. Recurring topics across this work include Lipid metabolism and biosynthesis (26 papers), Metabolomics and Mass Spectrometry Studies (20 papers), Adipose Tissue and Metabolism (19 papers), Sphingolipid Metabolism and Signaling (15 papers), Peroxisome Proliferator-Activated Receptors (11 papers), Lipid Membrane Structure and Behavior (11 papers), Adipokines, Inflammation, and Metabolic Diseases (9 papers) and Cholesterol and Lipid Metabolism (9 papers). The work is most often cited by research in Biochemistry (503 citations), Aging (69 citations), Molecular Biology (2.4k citations), Physiology (880 citations) and Cancer Research (408 citations). Sin Man Lam has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Guanghou Shui, Markus R. Wenk, Bowen Li, Louis Tong, He Tian, Xinrui Duan, Andrea Petznick, Zehua Wang, Xun Huang and Wanzhu Jin. Their work appears in journals such as Nature Communications, Journal of genetics and genomics, Journal of Lipid Research, Biochimica et Biophysica Acta (BBA) - Molecular and Cell Biology of Lipids and Cell Reports.

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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