Robert Chin
Impact in
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- Lipid metabolism and biosynthesis
Papers in
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- Molecular Biology Techniques and Applications 2
- Peroxisome Proliferator-Activated Receptors 2
- Genomics and Phylogenetic Studies 1
- Surgery 4
- Pancreatitis Pathology and Treatment 1
- Co-authors
- Laurent Vergnes (3 shared papers)Karen Reue (3 shared papers)Stephen G. Young (2 shared papers)Jessica M. Lee (1 shared paper)Peter L. Rady (3 shared papers)Johan Auwerx (1 shared paper)Thomas K. Hughes (3 shared papers)Yvette Calderon (1 shared paper)
- Journals
- GigaScience (2 papers)Cell Metabolism (1 paper)Clinical Chemistry (1 paper)Cellular and Molecular Neurobiology (1 paper)Journal of the American Academy of Dermatology (1 paper)
- Partner nations
- United StatesChinaSwitzerland
In The Last Decade
Robert Chin
15 papers receiving 451 citations
Peers
Comparison fields: 5 of 94
- Biochemistry 34
- Behavioral Neuroscience 13
- Epidemiology 124
- Cancer Research 50
- Molecular Biology 182
Countries citing papers authored by Robert Chin
This map shows the geographic impact of Robert Chin'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 Robert Chin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robert Chin more than expected).
Fields of papers citing papers by Robert Chin
This network shows the impact of papers produced by Robert Chin. 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 Robert Chin. The network helps show where Robert Chin may publish in the future.
Co-authors
The 25 scholars most cited alongside Robert Chin, 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 | 2014 | 127 | |
| 2 | 2010 | 74 | |
| 3 | 2013 | 60 | |
| 4 | 2015 | 56 | |
| 5 | 1994 | 31 | |
| 6 | 1993 | 27 | |
| 7 | 2000 | 20 | |
| 8 | 2018 | 14 | |
| 9 | 1997 | 13 | |
| 10 | 2016 | 12 | |
| 11 | 2018 | 9 | |
| 12 | 2016 | 6 | |
| 13 | 2017 | 4 | |
| 14 | 2001 | 2 | |
| 15 | 2022 | 1 |
About Robert Chin
Robert Chin is a scholar working on Molecular Biology, Surgery, Oncology, Epidemiology and Genetics, having authored 15 papers that have together received 456 indexed citations. Recurring topics across this work include Genomics and Rare Diseases (4 papers), Molecular Biology Techniques and Applications (2 papers), Cancer Genomics and Diagnostics (2 papers), Peroxisome Proliferator-Activated Receptors (2 papers), Genomic variations and chromosomal abnormalities (2 papers), Genetic factors in colorectal cancer (1 paper), Pancreatitis Pathology and Treatment (1 paper) and Genomics and Phylogenetic Studies (1 paper). The work is most often cited by research in Biochemistry (34 citations), Behavioral Neuroscience (13 citations), Epidemiology (124 citations), Cancer Research (50 citations) and Molecular Biology (182 citations). Robert Chin has collaborated with scholars based in United States, China and Switzerland. Frequent co-authors include Laurent Vergnes, Karen Reue, Stephen G. Young, Jessica M. Lee, Peter L. Rady, Johan Auwerx, Thomas K. Hughes, Yvette Calderon, Jun Feng and Xinmin Li. Their work appears in journals such as GigaScience, Cell Metabolism, Clinical Chemistry, Cellular and Molecular Neurobiology and Journal of the American Academy of Dermatology.
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.