Benoît Nespola
Impact in
-
- Systemic Lupus Erythematosus Research
- Eosinophilic Disorders and Syndromes
- Dermatology top 10%
- Skin Diseases and Diabetes
Papers in
- Epidemiology 10
- Inflammatory Myopathies and Dermatomyositis 10
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- Systemic Sclerosis and Related Diseases 6
- Co-authors
- Alain Meyer (5 shared papers)Bernard Gény (3 shared papers)Margherita Giannini (2 shared papers)Aurélien Guffroy (4 shared papers)Giovanni Zanframundo (1 shared paper)Thierry Martin (4 shared papers)Mickaël Ohana (1 shared paper)Vincent Poindron (3 shared papers)
- Journals
- Annals of the Rheumatic Diseases (3 papers)Lara D. Veeken (3 papers)Arthritis & Rheumatology (2 papers)Journal of Scleroderma and Related Disorders (2 papers)Nature Reviews Rheumatology (1 paper)
- Partner nations
- FranceBelgiumUnited States
In The Last Decade
Benoît Nespola
20 papers receiving 356 citations
Peers
Comparison fields: 5 of 58
- Rheumatology 80
- Dermatology 40
- Epidemiology 135
- Immunology 71
- Infectious Diseases 53
Countries citing papers authored by Benoît Nespola
This map shows the geographic impact of Benoît Nespola'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 Benoît Nespola with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Benoît Nespola more than expected).
Fields of papers citing papers by Benoît Nespola
This network shows the impact of papers produced by Benoît Nespola. 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 Benoît Nespola. The network helps show where Benoît Nespola may publish in the future.
Co-authors
The 25 scholars most cited alongside Benoît Nespola, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 64 | |
| 2 | 2019 | 60 | |
| 3 | 2020 | 50 | |
| 4 | 2021 | 31 | |
| 5 | 2023 | 28 | |
| 6 | 2020 | 26 | |
| 7 | 2015 | 24 | |
| 8 | 2019 | 23 | |
| 9 | 2021 | 12 | |
| 10 | 2021 | 10 | |
| 11 | 2023 | 7 | |
| 12 | 2024 | 6 | |
| 13 | 2015 | 5 | |
| 14 | 2023 | 4 | |
| 15 | 2020 | 4 | |
| 16 | 2021 | 3 | |
| 17 | 2024 | 2 | |
| 18 | 2019 | 2 | |
| 19 | 2026 | 2 | |
| 20 | 2019 | 1 |
About Benoît Nespola
Benoît Nespola is a scholar working on Epidemiology, Pathology and Forensic Medicine, Immunology, Rheumatology and Hematology, having authored 23 papers that have together received 365 indexed citations. Recurring topics across this work include Inflammatory Myopathies and Dermatomyositis (10 papers), Systemic Sclerosis and Related Diseases (6 papers), Systemic Lupus Erythematosus Research (4 papers), Immunodeficiency and Autoimmune Disorders (3 papers), Diabetes and associated disorders (3 papers), Vasculitis and related conditions (2 papers), Diagnosis and treatment of tuberculosis (1 paper) and COVID-19 Clinical Research Studies (1 paper). The work is most often cited by research in Rheumatology (80 citations), Dermatology (40 citations), Epidemiology (135 citations), Immunology (71 citations) and Infectious Diseases (53 citations). Benoît Nespola has collaborated with scholars based in France, Belgium and United States. Frequent co-authors include Alain Meyer, Bernard Gény, Margherita Giannini, Aurélien Guffroy, Giovanni Zanframundo, Thierry Martin, Mickaël Ohana, Vincent Poindron, Jean Sibilia and Lionel Spielmann. Their work appears in journals such as Annals of the Rheumatic Diseases, Lara D. Veeken, Arthritis & Rheumatology, Journal of Scleroderma and Related Disorders and Nature Reviews Rheumatology.
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.