J Chabot
Impact in
- Pharmacology top 2%
- Drug-Induced Hepatotoxicity and Protection
- Pharmacogenetics and Drug Metabolism
- Hepatology top 5%
Papers in
-
- Kruppel-like factors research 3
- Fibroblast Growth Factor Research 3
- Oncology 7
- Colorectal Cancer Surgical Treatments 5
- Co-authors
- Peter Henstock (1 shared paper)David de Graaf (1 shared paper)Arthur R. Smith (1 shared paper)Jinghai J. Xu (1 shared paper)Alexander van Oudenaarden (2 shared papers)Roberto A. Calle (3 shared papers)Saswata Talukdar (3 shared papers)Yan Weng (3 shared papers)
- Journals
- Cancer (2 papers)Cell Metabolism (1 paper)Journal of Applied Polymer Science (1 paper)Scientific Reports (1 paper)BMC Systems Biology (1 paper)
- Partner nations
- United States
In The Last Decade
J Chabot
25 papers receiving 1.5k citations
J Chabot's Hit Papers
Peers
Comparison fields: 5 of 123
- Pharmacology 241
- Hepatology 123
- Molecular Biology 817
- Cell Biology 158
- Oncology 213
Countries citing papers authored by J Chabot
This map shows the geographic impact of J Chabot'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 J Chabot with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J Chabot more than expected).
Fields of papers citing papers by J Chabot
This network shows the impact of papers produced by J Chabot. 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 J Chabot. The network helps show where J Chabot may publish in the future.
Co-authors
The 25 scholars most cited alongside J Chabot, 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 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | A Long-Acting FGF21 Molecule, PF-05231023, Decreases Body Weight and Improves Lipid Profile in Non-human Primates and Type 2 Diabetic Subjects Hit paper breakdown → | 2016 | 406 |
| 2 | Cellular Imaging Predictions of Clinical Drug-Induced Liver Injury Hit paper breakdown → | 2008 | 378 |
| 3 | 2003 | 154 | |
| 4 | 2012 | 137 | |
| 5 | 2017 | 116 | |
| 6 | 2007 | 87 | |
| 7 | 2015 | 59 | |
| 8 | Long-term results and complications of preoperative radiation in the treatment of rectal cancer. | 1988 | 33 |
| 9 | 1985 | 33 | |
| 10 | 2018 | 27 | |
| 11 | 2010 | 26 | |
| 12 | 2008 | 19 | |
| 13 | 1995 | 18 | |
| 14 | 2017 | 18 | |
| 15 | 1978 | 14 | |
| 16 | 2016 | 12 | |
| 17 | 2010 | 11 | |
| 18 | 2011 | 10 | |
| 19 | 1983 | 9 | |
| 20 | 2021 | 4 |
About J Chabot
J Chabot is a scholar working on Molecular Biology, Oncology, Surgery, Radiology, Nuclear Medicine and Imaging and Computational Theory and Mathematics, having authored 29 papers that have together received 1.6k indexed citations. Recurring topics across this work include Colorectal Cancer Surgical Treatments (5 papers), Colorectal and Anal Carcinomas (4 papers), Kruppel-like factors research (3 papers), Computational Drug Discovery Methods (3 papers), Pharmacogenetics and Drug Metabolism (3 papers), Fibroblast Growth Factor Research (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers) and Cell Adhesion Molecules Research (2 papers). The work is most often cited by research in Pharmacology (241 citations), Hepatology (123 citations), Molecular Biology (817 citations), Cell Biology (158 citations) and Oncology (213 citations). J Chabot has collaborated with scholars based in United States. Frequent co-authors include Peter Henstock, David de Graaf, Arthur R. Smith, Jinghai J. Xu, Alexander van Oudenaarden, Roberto A. Calle, Saswata Talukdar, Yan Weng, Jennifer Dong and Tim Rolph. Their work appears in journals such as Cancer, Cell Metabolism, Journal of Applied Polymer Science, Scientific Reports and BMC Systems Biology.
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.