Sze Ham Chan
Impact in
- Cancer Research top 2%
- Cancer, Hypoxia, and Metabolism
- Cancer, Lipids, and Metabolism
- Physiology top 1%
- Calcium signaling and nucleotide metabolism
Papers in
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- Calcium signaling and nucleotide metabolism 3
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- Cellular transport and secretion 4
- Co-authors
- David M. SabatiniCaroline A. LewisMonther Abu-RemailehTenzin KunchokElizaveta FreinkmanGregory A. WyantNouf N. LaqtomMitch McVey
- Journals
- Science (4 papers)Nature (4 papers)Proceedings of the National Academy of Sciences (3 papers)Nature Communications (2 papers)Science Advances (2 papers)
- Partner nations
- United StatesGermanySweden
In The Last Decade
Sze Ham Chan
22 papers receiving 2.8k citations
Hit Papers
Peers
Comparison fields: 5 of 110
- Cancer Research 728
- Physiology 211
- Biochemistry 212
- Molecular Biology 1.8k
- Cell Biology 379
Countries citing papers authored by Sze Ham Chan
This map shows the geographic impact of Sze Ham Chan'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 Sze Ham Chan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sze Ham Chan more than expected).
Fields of papers citing papers by Sze Ham Chan
This network shows the impact of papers produced by Sze Ham Chan. 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 Sze Ham Chan. The network helps show where Sze Ham Chan may publish in the future.
Co-authors
The 25 scholars most cited alongside Sze Ham Chan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2024 | 6 | |
| 3 | 2023 | 70 | |
| 4 | 2023 | 16 | |
| 5 | 2022 | 49 | |
| 6 | 2022 | 65 | |
| 7 | 2020 | 167 | |
| 8 | 2020 | 62 | |
| 9 | 2020 | 130 | |
| 10 | 2019 | 4 | |
| 11 | 2019 | 53 | |
| 12 | Quantification of microenvironmental metabolites in murine cancers reveals determinants of tumor nutrient availability Hit paper breakdown → | 2019 | 368 |
| 13 | 2019 | 52 | |
| 14 | 2019 | 315 | |
| 15 | 2019 | 22 | |
| 16 | 2018 | 73 | |
| 17 | 2018 | 226 | |
| 18 | 2018 | 264 | |
| 19 | Lysosomal metabolomics reveals V-ATPase- and mTOR-dependent regulation of amino acid efflux from lysosomes Hit paper breakdown → | 2017 | 457 |
| 20 | 2010 | 193 |
About Sze Ham Chan
Sze Ham Chan is a scholar working on Physiology, Cell Biology, Clinical Biochemistry, Cancer Research and Molecular Biology, having authored 22 papers that have together received 2.8k indexed citations. Recurring topics across this work include RNA modifications and cancer (4 papers), Cellular transport and secretion (4 papers), Lipid Membrane Structure and Behavior (3 papers), Epigenetics and DNA Methylation (3 papers), Metabolomics and Mass Spectrometry Studies (3 papers), Cancer, Hypoxia, and Metabolism (3 papers), Calcium signaling and nucleotide metabolism (3 papers) and Autophagy in Disease and Therapy (3 papers). The work is most often cited by research in Cancer Research (728 citations), Physiology (211 citations), Biochemistry (212 citations), Molecular Biology (1.8k citations) and Cell Biology (379 citations). Sze Ham Chan has collaborated with scholars based in United States, Germany and Sweden. Frequent co-authors include David M. Sabatini, Caroline A. Lewis, Monther Abu-Remaileh, Tenzin Kunchok, Elizaveta Freinkman, Gregory A. Wyant, Nouf N. Laqtom, Mitch McVey, Alder Yu and Choah Kim. Their work appears in journals such as Science, Nature, Proceedings of the National Academy of Sciences, Nature Communications and Science Advances.
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.