Sin Man Lam
Impact in
- Biochemistry top 0.5%
- Lipid metabolism and biosynthesis
- Aging top 5%
Papers in ⓘ
-
- Metabolomics and Mass Spectrometry Studies 20
- Sphingolipid Metabolism and Signaling 15
- Peroxisome Proliferator-Activated Receptors 11
- Lipid Membrane Structure and Behavior 11
- Physiology 33
- Adipose Tissue and Metabolism 19
- Co-authors
- Guanghou Shui (128 shared papers)Markus R. Wenk (11 shared papers)Bowen Li (12 shared papers)Louis Tong (6 shared papers)He Tian (13 shared papers)Xinrui Duan (6 shared papers)Andrea Petznick (3 shared papers)Zehua Wang (8 shared papers)
- Journals
- Nature Communications (8 papers)Journal of genetics and genomics (7 papers)Journal of Lipid Research (5 papers)Biochimica et Biophysica Acta (BBA) - Molecular and Cell Biology of Lipids (4 papers)Cell Reports (4 papers)
- Partner nations
- ChinaUnited StatesSingapore
In The Last Decade
Sin Man Lam
132 papers receiving 4.5k citations
Peers
Comparison fields: 5 of 135
- Biochemistry 503
- Aging 69
- Molecular Biology 2.4k
- Physiology 880
- Cancer Research 408
Countries citing papers authored by Sin Man Lam
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
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.
All Works
Showing the 20 most-cited of 137 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 239 | |
| 2 | 2019 | 213 | |
| 3 | 2019 | 205 | |
| 4 | 2020 | 200 | |
| 5 | 2019 | 193 | |
| 6 | 2011 | 152 | |
| 7 | 2019 | 111 | |
| 8 | 2017 | 105 | |
| 9 | 2019 | 102 | |
| 10 | 2013 | 100 | |
| 11 | 2021 | 96 | |
| 12 | 2013 | 88 | |
| 13 | 2014 | 82 | |
| 14 | 2021 | 81 | |
| 15 | 2017 | 81 | |
| 16 | 2017 | 81 | |
| 17 | 2014 | 81 | |
| 18 | 2014 | 76 | |
| 19 | 2022 | 72 | |
| 20 | 2020 | 71 |
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.