J.A. Grimaud
- Epidemiology top 10%
- Molecular Biology
- Cell Biology top 5%
- Hepatology top 2%
- Immunology and Allergy top 5%
- Co-authors
- Hugues Lortat‐JacobS PeyrolJeremy E. TurnbullM. ChevallierD. HerbageHynda K. KleinmanHervé EmonardM. Druguet
- Topics
- Cell Adhesion Molecules Research (11 papers)Proteoglycans and glycosaminoglycans research (7 papers)Liver physiology and pathology (6 papers)
In The Last Decade
J.A. Grimaud
50 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 98
- Epidemiology 449
- Molecular Biology 394
- Cell Biology 292
- Hepatology 292
- Immunology and Allergy 205
Countries citing papers authored by J.A. Grimaud
This map shows the geographic impact of J.A. Grimaud'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.A. Grimaud with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J.A. Grimaud more than expected).
Fields of papers citing papers by J.A. Grimaud
This network shows the impact of papers produced by J.A. Grimaud. 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.A. Grimaud. The network helps show where J.A. Grimaud may publish in the future.
Co-authorship network of co-authors of J.A. Grimaud
This figure shows the co-authorship network connecting the top 25 collaborators of J.A. Grimaud. A scholar is included among the top collaborators of J.A. Grimaud based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with J.A. Grimaud. J.A. Grimaud is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 40 | |
| 2 | 9 | |
| 3 | 3 | |
| 4 | 17 | |
| 5 | Interferon-alpha 2b therapy reduces liver fibrosis in chronic non-A, non-B hepatitis: a quantitative histological evaluation. | 128 |
| 6 | 48 | |
| 7 | 16 | |
| 8 | 10 | |
| 9 | 91 | |
| 10 | 11 | |
| 11 | 39 | |
| 12 | 18 | |
| 13 | 5 | |
| 14 | 7 | |
| 15 | 45 | |
| 16 | Portal fibrosis: intrahepatic portal vein pathology in chronic human schistosomiasis mansoni. | 20 |
| 17 | Modifications of hertwigs epithelial cells during developing mouse molar tooth ultrastructural histochemical and immunohistochemical studies | 1 |
| 18 | 19 | |
| 19 | 15 | |
| 20 | Ultrastructural study of experimental meningoencephalitis induced by a strain of Acanthamoeba isolated from a swimming pool. | 1 |
About J.A. Grimaud
J.A. Grimaud is a scholar working on Immunology and Allergy, Hepatology and Urology, having authored 50 papers that have together received 1.5k indexed citations. Recurring topics across this work include Cell Adhesion Molecules Research (11 papers), Proteoglycans and glycosaminoglycans research (7 papers) and Liver physiology and pathology (6 papers). The work is most often cited by research in Hepatology (292 citations), Immunology and Allergy (205 citations) and Cell Biology (292 citations). J.A. Grimaud has collaborated with scholars based in France, Belgium and Brazil. Frequent co-authors include Hugues Lortat‐Jacob, S Peyrol, Jeremy E. Turnbull, M. Chevallier, D. Herbage, Hynda K. Kleinman, Hervé Emonard, M. Druguet, Marie‐Lise Couble and C Chavrier. Their work appears in journals such as Nature, Journal of Clinical Investigation and Biochemical Journal.
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.