Marcia Pessah
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- TGF-β signaling in diseases 9
- Oncology top 10%
- Pancreatic and Hepatic Oncology Research 4
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- Cancer, Lipids, and Metabolism 4
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- Liver Disease Diagnosis and Treatment 5
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- Pancreatic function and diabetes 5
- Cholesterol and Lipid Metabolism 4
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- Genetic factors in colorectal cancer 4
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- Diabetes and associated disorders 4
- Co-authors
- Azeddine AtfiNathalie FerrandFrançois LallemandCéline PrunierAlain MauvielSu Ryeon SeoFranck VerrecchiaR. Infante
- Journals
- Proceedings of the National Academy of Sciences (1 paper)Journal of Biological Chemistry (5 papers)Journal of Clinical Investigation (1 paper)
- Partner nations
- FranceUnited StatesBelgium
In The Last Decade
Marcia Pessah
32 papers receiving 996 citations
Peers
Comparison fields: 5 of 76
- Molecular Biology 678
- Oncology 254
- Cancer Research 112
- Immunology and Allergy 34
- Endocrinology, Diabetes and Metabolism 89
Countries citing papers authored by Marcia Pessah
This map shows the geographic impact of Marcia Pessah'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 Marcia Pessah with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marcia Pessah more than expected).
Fields of papers citing papers by Marcia Pessah
This network shows the impact of papers produced by Marcia Pessah. 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 Marcia Pessah. The network helps show where Marcia Pessah may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Marcia Pessah, 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 | 2006 | 63 | |
| 2 | 2005 | 53 | |
| 3 | 2004 | 138 | |
| 4 | 2003 | 48 | |
| 5 | 2002 | 36 | |
| 6 | 2000 | 147 | |
| 7 | 2000 | 7 | |
| 8 | 1999 | 20 | |
| 9 | 1999 | 16 | |
| 10 | 1998 | 14 | |
| 11 | 1998 | 2 | |
| 12 | Immunocharacterization and function of glucagon-like peptide-1 islet receptor in syrian hamster | 1997 | 1 |
| 13 | 1993 | 3 | |
| 14 | 1991 | 15 | |
| 15 | 1990 | 5 | |
| 16 | 1988 | 19 | |
| 17 | 1988 | 62 | |
| 18 | 1988 | 24 | |
| 19 | Lipoprotein synthesis by rat intestine in vitro | 1987 | 1 |
| 20 | 1982 | 3 |
About Marcia Pessah
Marcia Pessah is a scholar working on Biochemistry, Endocrinology, Diabetes and Metabolism and Cancer Research, having authored 32 papers that have together received 1.0k indexed citations. Recurring topics across this work include TGF-β signaling in diseases (9 papers), Liver Disease Diagnosis and Treatment (5 papers), Pancreatic function and diabetes (5 papers), Cancer, Lipids, and Metabolism (4 papers), Genetic factors in colorectal cancer (4 papers), Pancreatic and Hepatic Oncology Research (4 papers), Cholesterol and Lipid Metabolism (4 papers) and Diabetes and associated disorders (4 papers). The work is most often cited by research in Molecular Biology (678 citations), Oncology (254 citations) and Cancer Research (112 citations). Marcia Pessah has collaborated with scholars based in France, United States and Belgium. Frequent co-authors include Azeddine Atfi, Nathalie Ferrand, François Lallemand, Céline Prunier, Alain Mauviel, Su Ryeon Seo, Franck Verrecchia, R. Infante, Jacques Camonis and Sébastien L’Hoste. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Investigation.
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.