Sherine S.L. Chan
- Molecular Biology top 10%
- Clinical Biochemistry top 0.5%
- Cell Biology top 10%
- Cellular and Molecular Neuroscience
- Physiology
- Co-authors
- William C. CopelandMatthew J. LongleyJennifer J. RahnKrista D. StackleyCraig C. BeesonRobert K. NaviauxOleh KhalimonchukIryna Bohovych
- Topics
- Mitochondrial Function and Pathology (24 papers)Metabolism and Genetic Disorders (15 papers)ATP Synthase and ATPases Research (9 papers)
- Journals
- Proceedings of the National Academy of SciencesNucleic Acids ResearchJournal of Biological Chemistry
- Partner nations
- United StatesUnited KingdomChina
In The Last Decade
Sherine S.L. Chan
35 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 107
- Molecular Biology 1.0k
- Clinical Biochemistry 447
- Cell Biology 133
- Cellular and Molecular Neuroscience 121
- Physiology 117
Countries citing papers authored by Sherine S.L. Chan
This map shows the geographic impact of Sherine S.L. 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 Sherine S.L. Chan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sherine S.L. Chan more than expected).
Fields of papers citing papers by Sherine S.L. Chan
This network shows the impact of papers produced by Sherine S.L. 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 Sherine S.L. Chan. The network helps show where Sherine S.L. Chan may publish in the future.
Co-authorship network of co-authors of Sherine S.L. Chan
This figure shows the co-authorship network connecting the top 25 collaborators of Sherine S.L. Chan. A scholar is included among the top collaborators of Sherine S.L. Chan based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Sherine S.L. Chan. Sherine S.L. Chan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 4 | |
| 3 | 6 | |
| 4 | 74 | |
| 5 | 12 | |
| 6 | 23 | |
| 7 | 35 | |
| 8 | 43 | |
| 9 | 18 | |
| 10 | 50 | |
| 11 | 74 | |
| 12 | 50 | |
| 13 | 112 | |
| 14 | 43 | |
| 15 | 8 | |
| 16 | 127 | |
| 17 | 99 | |
| 18 | 96 | |
| 19 | 80 | |
| 20 | 35 |
About Sherine S.L. Chan
Sherine S.L. Chan is a scholar working on Clinical Biochemistry, Aging and Biological Psychiatry, having authored 35 papers that have together received 1.4k indexed citations. Recurring topics across this work include Mitochondrial Function and Pathology (24 papers), Metabolism and Genetic Disorders (15 papers) and ATP Synthase and ATPases Research (9 papers). The work is most often cited by research in Clinical Biochemistry (447 citations), Molecular Biology (1.0k citations) and Biological Psychiatry (33 citations). Sherine S.L. Chan has collaborated with scholars based in United States, United Kingdom and China. Frequent co-authors include William C. Copeland, Matthew J. Longley, Jennifer J. Rahn, Krista D. Stackley, Craig C. Beeson, Robert K. Naviaux, Oleh Khalimonchuk, Iryna Bohovych, Jennifer E. Bestman and Farida S. Sharief. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.
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.