Nadia Catalan
Impact in
- Immunology top 1%
- T-cell and B-cell Immunology
- Immune Cell Function and Interaction
- Immunodeficiency and Autoimmune Disorders
- Immunotherapy and Immune Responses
- Genetics top 5%
- Blood disorders and treatments
Papers in
- Immunology 10
- T-cell and B-cell Immunology 7
- Immune Cell Function and Interaction 7
- Immunodeficiency and Autoimmune Disorders 5
- Genetics 2
- Diabetes and associated disorders 2
- Chronic Lymphocytic Leukemia Research 2
- Co-authors
- Anne Durandy (9 shared papers)Alain Fischer (8 shared papers)Kohsuke Imai (6 shared papers)Patrick Revy (5 shared papers)Shigeaki Nonoyama (2 shared papers)Monique Forveille (3 shared papers)Leman Yel (1 shared paper)Geir Slupphaug (1 shared paper)
In The Last Decade
Nadia Catalan
12 papers receiving 3.1k citations
Nadia Catalan's Hit Papers
Peers
Comparison fields: 5 of 81
- Immunology 2.3k
- Genetics 273
- Virology 82
- Epidemiology 543
- Molecular Biology 1.1k
Countries citing papers authored by Nadia Catalan
This map shows the geographic impact of Nadia Catalan'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 Nadia Catalan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nadia Catalan more than expected).
Fields of papers citing papers by Nadia Catalan
This network shows the impact of papers produced by Nadia Catalan. 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 Nadia Catalan. The network helps show where Nadia Catalan may publish in the future.
Co-authors
The 25 scholars most cited alongside Nadia Catalan, 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 | Activation-Induced Cytidine Deaminase (AID) Deficiency Causes the Autosomal Recessive Form of the Hyper-IgM Syndrome (HIGM2) Hit paper breakdown → | 2000 | 1343 |
| 2 | 2003 | 534 | |
| 3 | 2001 | 311 | |
| 4 | 2003 | 276 | |
| 5 | 2008 | 214 | |
| 6 | 2003 | 204 | |
| 7 | 2003 | 103 | |
| 8 | 2003 | 83 | |
| 9 | 2012 | 57 | |
| 10 | 2001 | 29 | |
| 11 | 2003 | 4 | |
| 12 | 2003 | 2 |
About Nadia Catalan
Nadia Catalan is a scholar working on Immunology, Genetics, Epidemiology, Genetics and Molecular Biology, having authored 12 papers that have together received 3.2k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (7 papers), Immune Cell Function and Interaction (7 papers), Immunodeficiency and Autoimmune Disorders (5 papers), Cytomegalovirus and herpesvirus research (3 papers), Diabetes and associated disorders (2 papers), Chronic Lymphocytic Leukemia Research (2 papers), RNA modifications and cancer (1 paper) and Pancreatic function and diabetes (1 paper). The work is most often cited by research in Immunology (2.3k citations), Genetics (273 citations), Virology (82 citations), Epidemiology (543 citations) and Molecular Biology (1.1k citations). Nadia Catalan has collaborated with scholars based in France, Italy and Japan. Frequent co-authors include Anne Durandy, Alain Fischer, Kohsuke Imai, Patrick Revy, Shigeaki Nonoyama, Monique Forveille, Leman Yel, Geir Slupphaug, Wen-I Lee and Bodil Kavli. Their work appears in journals such as Nature Immunology, Journal of Clinical Investigation, Proceedings of the National Academy of Sciences, Clinical Immunology and Cell.
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.