Clément Chatelain
Impact in
-
- Cutaneous lymphoproliferative disorders research
- Dermatology and Skin Diseases
Papers in ⓘ
- Genetics 4
- Genetic Associations and Epidemiology 3
- Genetic Mapping and Diversity in Plants and Animals 1
- Genomics and Rare Diseases 1
-
- Bioinformatics and Genomic Networks 2
- RNA Research and Splicing 1
- Co-authors
- Franck Augé (1 shared paper)Vincent Thuillier (1 shared paper)Éric Legac (1 shared paper)Catherine Blanc (1 shared paper)Brigitte Autran (1 shared paper)J Luciani (1 shared paper)Patrice Debré (1 shared paper)Chloé‐Agathe Azencott (1 shared paper)
- Journals
- BMC Bioinformatics (1 paper)Human Genetics and Genomics Advances (1 paper)BMC Genomics (1 paper)Drug Discovery Today (1 paper)BMC Medical Genomics (1 paper)
- Partner nations
- FranceUnited StatesEstonia
In The Last Decade
Clément Chatelain
5 papers receiving 35 citations
Peers
Comparison fields: 5 of 21
- Health Informatics 1
- Dermatology 6
- Immunology 12
- Genetics 13
- Health Information Management 1
Countries citing papers authored by Clément Chatelain
This map shows the geographic impact of Clément Chatelain'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 Clément Chatelain with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Clément Chatelain more than expected).
Fields of papers citing papers by Clément Chatelain
This network shows the impact of papers produced by Clément Chatelain. 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 Clément Chatelain. The network helps show where Clément Chatelain may publish in the future.
Co-authors
The 19 scholars most cited alongside Clément Chatelain, 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 | Expansion of CD4+CD7- T helper cells with a TH0-TH2 function in kidney transplant recipients. | 1995 | 13 |
| 2 | 2018 | 12 | |
| 3 | 2022 | 5 | |
| 4 | 2024 | 4 | |
| 5 | 2025 | 1 | |
| 6 | 2024 | 0 |
About Clément Chatelain
Clément Chatelain is a scholar working on Genetics, Molecular Biology, Cellular and Molecular Neuroscience, Pathology and Forensic Medicine and Neurology, having authored 6 papers that have together received 35 indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (3 papers), Bioinformatics and Genomic Networks (2 papers), Hereditary Neurological Disorders (1 paper), Genetic Mapping and Diversity in Plants and Animals (1 paper), Reproductive System and Pregnancy (1 paper), Peripheral Neuropathies and Disorders (1 paper), RNA Research and Splicing (1 paper) and Genomics and Rare Diseases (1 paper). The work is most often cited by research in Health Informatics (1 citation), Dermatology (6 citations), Immunology (12 citations), Genetics (13 citations) and Health Information Management (1 citation). Clément Chatelain has collaborated with scholars based in France, United States and Estonia. Frequent co-authors include Franck Augé, Vincent Thuillier, Éric Legac, Catherine Blanc, Brigitte Autran, J Luciani, Patrice Debré, Chloé‐Agathe Azencott, Khader Shameer and Emanuele de Rinaldis. Their work appears in journals such as BMC Bioinformatics, Human Genetics and Genomics Advances, BMC Genomics, Drug Discovery Today and BMC Medical Genomics.
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.