Robin Chan
Impact in
- Biological Psychiatry top 5%
- Cell Biology top 1%
- Cellular transport and secretion
- Endoplasmic Reticulum Stress and Disease
Papers in
-
- Lipid Membrane Structure and Behavior 11
- Sphingolipid Metabolism and Signaling 5
- Physiology 15
- Alzheimer's disease research and treatments 7
- Lysosomal Storage Disorders Research 6
- Co-authors
- Gilbert Di Paolo (34 shared papers)Markus R. Wenk (10 shared papers)Tiago Gil Oliveira (9 shared papers)Guanghou Shui (3 shared papers)Scott A. Small (4 shared papers)Karen Duff (4 shared papers)Bowen Zhou (11 shared papers)Yimeng Xu (10 shared papers)
- Journals
- Nature Communications (7 papers)Translational Psychiatry (2 papers)Scientific Reports (2 papers)Journal of Neuroscience (2 papers)Virology (2 papers)
- Partner nations
- United StatesGermanySingapore
In The Last Decade
Robin Chan
65 papers receiving 3.9k citations
Peers
Comparison fields: 5 of 168
- Biological Psychiatry 133
- Cell Biology 774
- Physiology 998
- Biochemistry 285
- Virology 163
Countries citing papers authored by Robin Chan
This map shows the geographic impact of Robin 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 Robin Chan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robin Chan more than expected).
Fields of papers citing papers by Robin Chan
This network shows the impact of papers produced by Robin 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 Robin Chan. The network helps show where Robin Chan may publish in the future.
Co-authors
The 25 scholars most cited alongside Robin 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
Showing the 20 most-cited of 70 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 479 | |
| 2 | 2008 | 234 | |
| 3 | 2017 | 183 | |
| 4 | 2013 | 177 | |
| 5 | 2015 | 174 | |
| 6 | 2018 | 169 | |
| 7 | 2015 | 163 | |
| 8 | 2010 | 150 | |
| 9 | 2010 | 141 | |
| 10 | 2017 | 130 | |
| 11 | 2011 | 129 | |
| 12 | 2015 | 127 | |
| 13 | 2018 | 124 | |
| 14 | 2017 | 91 | |
| 15 | 2017 | 90 | |
| 16 | 2021 | 88 | |
| 17 | 2021 | 88 | |
| 18 | 2015 | 84 | |
| 19 | 2016 | 82 | |
| 20 | 2017 | 81 |
About Robin Chan
Robin Chan is a scholar working on Molecular Biology, Physiology, Epidemiology, Cell Biology and Artificial Intelligence, having authored 70 papers that have together received 4.0k indexed citations. Recurring topics across this work include Lipid Membrane Structure and Behavior (11 papers), Cellular transport and secretion (10 papers), Alzheimer's disease research and treatments (7 papers), Lysosomal Storage Disorders Research (6 papers), Autophagy in Disease and Therapy (6 papers), Sphingolipid Metabolism and Signaling (5 papers), Human-Automation Interaction and Safety (4 papers) and Neuroscience and Neuropharmacology Research (4 papers). The work is most often cited by research in Biological Psychiatry (133 citations), Cell Biology (774 citations), Physiology (998 citations), Biochemistry (285 citations) and Virology (163 citations). Robin Chan has collaborated with scholars based in United States, Germany and Singapore. Frequent co-authors include Gilbert Di Paolo, Markus R. Wenk, Tiago Gil Oliveira, Guanghou Shui, Scott A. Small, Karen Duff, Bowen Zhou, Yimeng Xu, Etty Cortés and Lawrence S. Honig. Their work appears in journals such as Nature Communications, Translational Psychiatry, Scientific Reports, Journal of Neuroscience and Virology.
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.