Jean-Daniel Abraham
Impact in
- Hepatology top 5%
- Hepatitis C virus research
- Physiology top 10%
- Alzheimer's disease research and treatments
Papers in
-
- Hepatitis C virus research 7
- Co-authors
- Marie Paule Kiény (5 shared papers)Catherine Schuster (3 shared papers)S. Siavoshian (2 shared papers)Inger Lauritzen (2 shared papers)Charlotte Bauer (2 shared papers)Frédéric Checler (3 shared papers)Peter St George‐Hyslop (1 shared paper)Julie Dunys (1 shared paper)
- Journals
- Neurobiology of Aging (2 papers)Journal of General Virology (2 papers)Clinical Cancer Research (1 paper)iScience (1 paper)Archives of Virology (1 paper)
- Partner nations
- FranceUnited StatesSwitzerland
In The Last Decade
Jean-Daniel Abraham
19 papers receiving 491 citations
Peers
Comparison fields: 5 of 72
- Hepatology 142
- Physiology 164
- Biological Psychiatry 11
- Immunology 85
- Epidemiology 112
Countries citing papers authored by Jean-Daniel Abraham
This map shows the geographic impact of Jean-Daniel Abraham'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 Jean-Daniel Abraham with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jean-Daniel Abraham more than expected).
Fields of papers citing papers by Jean-Daniel Abraham
This network shows the impact of papers produced by Jean-Daniel Abraham. 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 Jean-Daniel Abraham. The network helps show where Jean-Daniel Abraham may publish in the future.
Co-authors
The 25 scholars most cited alongside Jean-Daniel Abraham, 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 | 2012 | 161 | |
| 2 | 2005 | 52 | |
| 3 | 2002 | 39 | |
| 4 | 2004 | 32 | |
| 5 | 2022 | 31 | |
| 6 | 2007 | 27 | |
| 7 | 2019 | 24 | |
| 8 | 2004 | 24 | |
| 9 | 2022 | 23 | |
| 10 | 2020 | 19 | |
| 11 | 2014 | 17 | |
| 12 | 2011 | 17 | |
| 13 | 2008 | 9 | |
| 14 | 2003 | 8 | |
| 15 | 2012 | 6 | |
| 16 | 2021 | 3 | |
| 17 | Neurological manifestations of acute haemorrhagic conjunctivitis due to enterovirus 70. | 1981 | 2 |
| 18 | 2021 | 1 | |
| 19 | Clinical validation of an elastin-derived trifunctional peptide for skin regeneration. | 2023 | 1 |
About Jean-Daniel Abraham
Jean-Daniel Abraham is a scholar working on Hepatology, Molecular Biology, Epidemiology, Immunology and Cellular and Molecular Neuroscience, having authored 19 papers that have together received 496 indexed citations. Recurring topics across this work include Hepatitis C virus research (7 papers), Hepatitis B Virus Studies (5 papers), Alzheimer's disease research and treatments (3 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (3 papers), Computational Drug Discovery Methods (2 papers), Nuclear Receptors and Signaling (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers) and Immune cells in cancer (2 papers). The work is most often cited by research in Hepatology (142 citations), Physiology (164 citations), Biological Psychiatry (11 citations), Immunology (85 citations) and Epidemiology (112 citations). Jean-Daniel Abraham has collaborated with scholars based in France, United States and Switzerland. Frequent co-authors include Marie Paule Kiény, Catherine Schuster, S. Siavoshian, Inger Lauritzen, Charlotte Bauer, Frédéric Checler, Peter St George‐Hyslop, Julie Dunys, Paul Fraser and Ophélia Le Thuc. Their work appears in journals such as Neurobiology of Aging, Journal of General Virology, Clinical Cancer Research, iScience and Archives of Virology.
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.