Charles DeRossi
Impact in
- Cell Biology top 10%
- Endoplasmic Reticulum Stress and Disease
- Zebrafish Biomedical Research Applications
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- Glycosylation and Glycoproteins Research
- Wnt/β-catenin signaling in development and cancer
- Cancer-related gene regulation
- Epigenetics and DNA Methylation
Papers in
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- Glycosylation and Glycoproteins Research 2
- Genomics and Chromatin Dynamics 2
- Wnt/β-catenin signaling in development and cancer 2
- Surgery 6
- Pancreatic function and diabetes 6
- Co-authors
- Bernadette C. Holdener (4 shared papers)Jacques L. Michaud (1 shared paper)Noah May (1 shared paper)Chen‐Ming Fan (1 shared paper)Liqun Zhang (2 shared papers)Mary E. Wines (2 shared papers)Lance Lee (2 shared papers)Thomas A. Rosenquist (1 shared paper)
- Journals
- Hepatology Communications (2 papers)Nature Medicine (1 paper)Molecular Biology of the Cell (1 paper)The FASEB Journal (1 paper)Hepatology (1 paper)
- Partner nations
- United StatesCanadaGermany
In The Last Decade
Charles DeRossi
13 papers receiving 735 citations
Peers
Comparison fields: 5 of 86
- Cell Biology 124
- Molecular Biology 480
- Cancer Research 73
- Endocrine and Autonomic Systems 30
- Immunology 88
Countries citing papers authored by Charles DeRossi
This map shows the geographic impact of Charles DeRossi'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 Charles DeRossi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Charles DeRossi more than expected).
Fields of papers citing papers by Charles DeRossi
This network shows the impact of papers produced by Charles DeRossi. 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 Charles DeRossi. The network helps show where Charles DeRossi may publish in the future.
Co-authors
The 25 scholars most cited alongside Charles DeRossi, 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 | 2003 | 207 | |
| 2 | 2000 | 144 | |
| 3 | 2005 | 83 | |
| 4 | 2008 | 66 | |
| 5 | 2011 | 64 | |
| 6 | 2022 | 34 | |
| 7 | 2016 | 31 | |
| 8 | 2017 | 29 | |
| 9 | 2019 | 25 | |
| 10 | 2014 | 23 | |
| 11 | 2002 | 16 | |
| 12 | 2001 | 14 | |
| 13 | 2000 | 7 | |
| 14 | 2025 | 0 |
About Charles DeRossi
Charles DeRossi is a scholar working on Molecular Biology, Surgery, Physiology, Epidemiology and Cell Biology, having authored 14 papers that have together received 743 indexed citations. Recurring topics across this work include Pancreatic function and diabetes (6 papers), Erythrocyte Function and Pathophysiology (4 papers), Glycosylation and Glycoproteins Research (2 papers), Endoplasmic Reticulum Stress and Disease (2 papers), Liver physiology and pathology (2 papers), Liver Disease Diagnosis and Treatment (2 papers), Genomics and Chromatin Dynamics (2 papers) and Wnt/β-catenin signaling in development and cancer (2 papers). The work is most often cited by research in Cell Biology (124 citations), Molecular Biology (480 citations), Cancer Research (73 citations), Endocrine and Autonomic Systems (30 citations) and Immunology (88 citations). Charles DeRossi has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include Bernadette C. Holdener, Jacques L. Michaud, Noah May, Chen‐Ming Fan, Liqun Zhang, Mary E. Wines, Lance Lee, Thomas A. Rosenquist, Kristen C. Brown and Jen‐Chih Hsieh. Their work appears in journals such as Hepatology Communications, Nature Medicine, Molecular Biology of the Cell, The FASEB Journal and Hepatology.
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.