Michelle Chaisson
Impact in
- Hepatology top 5%
- Liver physiology and pathology
- Immunology and Allergy top 5%
- Cell Adhesion Molecules Research
Papers in ⓘ
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- Liver physiology and pathology 5
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- NF-κB Signaling Pathways 6
- Co-authors
- Nelson Fausto (7 shared papers)William C. Dougall (3 shared papers)Manuela Almeida (1 shared paper)Roberto F. Nicosia (1 shared paper)Cecilia M. Giachelli (1 shared paper)Marta Scatena (1 shared paper)Sophia Y. Tsai (3 shared papers)Warren Ladiges (3 shared papers)
- Journals
- Journal of Clinical Investigation (3 papers)The Journal of Cell Biology (1 paper)Journal of Biological Chemistry (1 paper)American Journal Of Pathology (1 paper)Arteriosclerosis Thrombosis and Vascular Biology (1 paper)
- Partner nations
- United StatesJapanCanada
In The Last Decade
Michelle Chaisson
12 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 98
- Hepatology 249
- Immunology and Allergy 162
- Cancer Research 330
- Rheumatology 189
- Oncology 309
Countries citing papers authored by Michelle Chaisson
This map shows the geographic impact of Michelle Chaisson'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 Michelle Chaisson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michelle Chaisson more than expected).
Fields of papers citing papers by Michelle Chaisson
This network shows the impact of papers produced by Michelle Chaisson. 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 Michelle Chaisson. The network helps show where Michelle Chaisson may publish in the future.
Co-authors
The 25 scholars most cited alongside Michelle Chaisson, 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 | 1998 | 435 | |
| 2 | 2002 | 151 | |
| 3 | 2006 | 146 | |
| 4 | 2002 | 132 | |
| 5 | Tumor necrosis factor induces DNA replication in hepatic cells through nuclear factor kappaB activation. | 1999 | 121 |
| 6 | 2006 | 120 | |
| 7 | 2000 | 104 | |
| 8 | 2004 | 76 | |
| 9 | 2002 | 34 | |
| 10 | [Monoclonal antibody targeting RANKL as a therapy for cancer-induced bone diseases]. | 2006 | 11 |
| 11 | 2005 | 9 | |
| 12 | 2002 | 7 |
About Michelle Chaisson
Michelle Chaisson is a scholar working on Hepatology, Cancer Research, Immunology and Allergy, Clinical Biochemistry and Oncology, having authored 12 papers that have together received 1.3k indexed citations. Recurring topics across this work include NF-κB Signaling Pathways (6 papers), Liver physiology and pathology (5 papers), Bone Metabolism and Diseases (4 papers), Hepatitis B Virus Studies (3 papers), Bone health and treatments (2 papers), Aquatic Ecosystems and Phytoplankton Dynamics (1 paper), Cytokine Signaling Pathways and Interactions (1 paper) and TGF-β signaling in diseases (1 paper). The work is most often cited by research in Hepatology (249 citations), Immunology and Allergy (162 citations), Cancer Research (330 citations), Rheumatology (189 citations) and Oncology (309 citations). Michelle Chaisson has collaborated with scholars based in United States, Japan and Canada. Frequent co-authors include Nelson Fausto, William C. Dougall, Manuela Almeida, Roberto F. Nicosia, Cecilia M. Giachelli, Marta Scatena, Sophia Y. Tsai, Warren Ladiges, John Brooling and И. В. Кириллова. Their work appears in journals such as Journal of Clinical Investigation, The Journal of Cell Biology, Journal of Biological Chemistry, American Journal Of Pathology and Arteriosclerosis Thrombosis and Vascular 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.