Sin Man Lam
Impact in
- Biochemistry top 0.5%
- Lipid metabolism and biosynthesis
- Aging top 5%
Papers in
- Biochemistry 35
- Lipid metabolism and biosynthesis 35
-
- Metabolomics and Mass Spectrometry Studies 21
- Sphingolipid Metabolism and Signaling 16
- Co-authors
- Guanghou Shui (134 shared papers)Markus Rene Wenk (11 shared papers)Bowen Li (12 shared papers)Louis Hak Tien Tong (6 shared papers)He Tian (13 shared papers)Andrea Petznick (3 shared papers)Zehua Wang (8 shared papers)Xun Huang (12 shared papers)
- Journals
- Nature Communications (11 papers)Journal of genetics and genomics (8 papers)Journal of Lipid Research (5 papers)Proceedings of the National Academy of Sciences (5 papers)Cell Reports (4 papers)
- Partner nations
- ChinaUnited StatesSingapore
In The Last Decade
Sin Man Lam
153 papers receiving 6.5k citations
Sin Man Lam's Hit Papers
Peers
Comparison fields: 5 of 135
- Biochemistry 631
- Aging 82
- Molecular Biology 2.3k
- Endocrine and Autonomic Systems 147
- Cancer Research 249
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 159 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Omics-Driven Systems Interrogation of Metabolic Dysregulation in COVID-19 Pathogenesis Hit paper breakdown → | 2020 | 427 |
| 2 | 2013 | 259 | |
| 3 | 2019 | 255 | |
| 4 | 2019 | 237 | |
| 5 | 2021 | 220 | |
| 6 | 2020 | 216 | |
| 7 | 2019 | 207 | |
| 8 | 2011 | 160 | |
| 9 | 2019 | 142 | |
| 10 | 2018 | 139 | |
| 11 | 2019 | 123 | |
| 12 | 2019 | 120 | |
| 13 | 2017 | 118 | |
| 14 | 2021 | 113 | |
| 15 | 2013 | 104 | |
| 16 | 2013 | 97 | |
| 17 | 2017 | 96 | |
| 18 | 2014 | 95 | |
| 19 | 2021 | 94 | |
| 20 | 2014 | 91 |
About Sin Man Lam
Sin Man Lam is a scholar working on Biochemistry, Molecular Biology, Endocrine and Autonomic Systems, Physiology and Aging, having authored 159 papers that have together received 6.6k indexed citations. Recurring topics across this work include Lipid metabolism and biosynthesis (35 papers), Metabolomics and Mass Spectrometry Studies (21 papers), Sphingolipid Metabolism and Signaling (16 papers), Adipose Tissue and Metabolism (9 papers), Cholesterol and Lipid Metabolism (7 papers), Cellular transport and secretion (7 papers), Circadian rhythm and melatonin (7 papers) and Liver Disease Diagnosis and Treatment (6 papers). The work is most often cited by research in Biochemistry (631 citations), Aging (82 citations), Molecular Biology (2.3k citations), Endocrine and Autonomic Systems (147 citations) and Cancer Research (249 citations). Sin Man Lam has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Guanghou Shui, Markus Rene Wenk, Bowen Li, Louis Hak Tien Tong, He Tian, Andrea Petznick, Zehua Wang, Xun Huang, Wanzhu Jin and Hanlin Zhang. 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 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.