Sin Man Lam
Impact in
- Biochemistry top 0.5%
- Lipid metabolism and biosynthesis
- Aging top 5%
Papers in
-
- Metabolomics and Mass Spectrometry Studies 19
- Sphingolipid Metabolism and Signaling 13
- Peroxisome Proliferator-Activated Receptors 12
- Lipid Membrane Structure and Behavior 9
- Physiology 30
- Adipose Tissue and Metabolism 17
- Co-authors
- Guanghou Shui (129 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)Proceedings of the National Academy of Sciences (4 papers)Redox Biology (4 papers)
- Partner nations
- ChinaUnited StatesSingapore
In The Last Decade
Sin Man Lam
134 papers receiving 4.8k citations
Peers
Comparison fields: 5 of 133
- Biochemistry 475
- Aging 71
- Molecular Biology 2.3k
- Physiology 765
- Cancer Research 354
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 138 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 245 | |
| 2 | 2019 | 224 | |
| 3 | 2019 | 213 | |
| 4 | 2020 | 207 | |
| 5 | 2019 | 201 | |
| 6 | 2011 | 155 | |
| 7 | 2019 | 113 | |
| 8 | 2017 | 108 | |
| 9 | 2019 | 108 | |
| 10 | 2021 | 105 | |
| 11 | 2013 | 101 | |
| 12 | 2013 | 88 | |
| 13 | 2014 | 85 | |
| 14 | 2021 | 85 | |
| 15 | 2017 | 84 | |
| 16 | 2014 | 83 | |
| 17 | 2017 | 81 | |
| 18 | 2014 | 78 | |
| 19 | 2022 | 75 | |
| 20 | 2019 | 74 |
About Sin Man Lam
Sin Man Lam is a scholar working on Molecular Biology, Physiology, Biochemistry, Surgery and Epidemiology, having authored 138 papers that have together received 4.8k indexed citations. Recurring topics across this work include Lipid metabolism and biosynthesis (22 papers), Metabolomics and Mass Spectrometry Studies (19 papers), Adipose Tissue and Metabolism (17 papers), Sphingolipid Metabolism and Signaling (13 papers), Peroxisome Proliferator-Activated Receptors (12 papers), Cellular transport and secretion (9 papers), Cholesterol and Lipid Metabolism (9 papers) and Lipid Membrane Structure and Behavior (9 papers). The work is most often cited by research in Biochemistry (475 citations), Aging (71 citations), Molecular Biology (2.3k citations), Physiology (765 citations) and Cancer Research (354 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, Proceedings of the National Academy of Sciences and Redox Biology.
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.