Jean‐Daniel Zucker
- Physiology top 0.5%
- Epidemiology top 1%
- Molecular Biology top 5%
- Surgery top 5%
- Cardiology and Cardiovascular Medicine top 2%
- Co-authors
- Karine ClémentChristine PoitouArnaud BasdevantVéronique PellouxDominique LanginNathalie ViguerieCorneliu HénégarRaffaella Cancello
- Topics
- Gene expression and cancer classification (16 papers)Gut microbiota and health (15 papers)Bioinformatics and Genomic Networks (14 papers)
- Journals
- SHILAP Revista de lepidopterologíaBioinformaticsPLoS ONE
- Partner nations
- FranceUnited StatesVietnam
In The Last Decade
Jean‐Daniel Zucker
99 papers receiving 5.0k citations
Hit Papers
Peers
Comparison fields: 5 of 182
- Physiology 2.4k
- Epidemiology 1.8k
- Molecular Biology 1.6k
- Surgery 963
- Cardiology and Cardiovascular Medicine 861
Countries citing papers authored by Jean‐Daniel Zucker
This map shows the geographic impact of Jean‐Daniel Zucker'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 Zucker 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 Zucker more than expected).
Fields of papers citing papers by Jean‐Daniel Zucker
This network shows the impact of papers produced by Jean‐Daniel Zucker. 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 Zucker. The network helps show where Jean‐Daniel Zucker may publish in the future.
Co-authorship network of co-authors of Jean‐Daniel Zucker
This figure shows the co-authorship network connecting the top 25 collaborators of Jean‐Daniel Zucker. A scholar is included among the top collaborators of Jean‐Daniel Zucker 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 Jean‐Daniel Zucker. Jean‐Daniel Zucker is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 2 | |
| 3 | 1 | |
| 4 | 4 | |
| 5 | 6 | |
| 6 | 28 | |
| 7 | 34 | |
| 8 | 8 | |
| 9 | 84 | |
| 10 | 65 | |
| 11 | 6 | |
| 12 | Rounding Methods for Discrete Linear Classification | 11 |
| 13 | 2 | |
| 14 | 45 | |
| 15 | Fibrosis in Human Adipose Tissue: Composition, Distribution, and Link With Lipid Metabolism and Fat Mass Lossbreakdown → | 447 |
| 16 | 345 | |
| 17 | 59 | |
| 18 | An Abstraction-based Machine Learning Approach to Cartographic Generalisation. | 5 |
| 19 | J'ai dansé avec machine ou comment repenser les rapports entre l'homme et son environnement. | 0 |
| 20 | DICE: a discovery environment integrating inductive bias | 1 |
About Jean‐Daniel Zucker
Jean‐Daniel Zucker is a scholar working on Artificial Intelligence, Physiology and Transportation, having authored 103 papers that have together received 5.1k indexed citations. Recurring topics across this work include Gene expression and cancer classification (16 papers), Gut microbiota and health (15 papers) and Bioinformatics and Genomic Networks (14 papers). The work is most often cited by research in Physiology (2.4k citations), Epidemiology (1.8k citations) and Cardiology and Cardiovascular Medicine (861 citations). Jean‐Daniel Zucker has collaborated with scholars based in France, United States and Vietnam. Frequent co-authors include Karine Clément, Christine Poitou, Arnaud Basdevant, Véronique Pelloux, Dominique Langin, Nathalie Viguerie, Corneliu Hénégar, Raffaella Cancello, Edi Prifti and Jean‐Luc Bouillot. Their work appears in journals such as SHILAP Revista de lepidopterología, Bioinformatics and PLoS ONE.
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.