Marc Diedisheim
Impact in
-
- Diabetes Management and Research
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- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- IL-33, ST2, and ILC Pathways
Papers in
- Co-authors
- Étienne Larger (10 shared papers)Raphaël Scharfmann (7 shared papers)Masaya Oshima (4 shared papers)Roberto Mallone (4 shared papers)Jamie Rossjohn (1 shared paper)Ophélie Rouxel (1 shared paper)Olivier Lantz (1 shared paper)Badr Kiaf (1 shared paper)
- Journals
- Diabetes & Metabolism (4 papers)The Journal of Clinical Endocrinology & Metabolism (3 papers)Molecular Metabolism (2 papers)Metabolism (1 paper)Nature Immunology (1 paper)
- Partner nations
- FranceUnited KingdomItaly
In The Last Decade
Marc Diedisheim
20 papers receiving 529 citations
Peers
Comparison fields: 5 of 64
- Endocrinology, Diabetes and Metabolism 138
- Immunology 165
- Genetics 194
- Surgery 175
- Infectious Diseases 52
Countries citing papers authored by Marc Diedisheim
This map shows the geographic impact of Marc Diedisheim'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 Marc Diedisheim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marc Diedisheim more than expected).
Fields of papers citing papers by Marc Diedisheim
This network shows the impact of papers produced by Marc Diedisheim. 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 Marc Diedisheim. The network helps show where Marc Diedisheim may publish in the future.
Co-authors
The 25 scholars most cited alongside Marc Diedisheim, 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 192 | |
| 2 | 2018 | 65 | |
| 3 | 2018 | 45 | |
| 4 | 2020 | 37 | |
| 5 | 2018 | 36 | |
| 6 | 2016 | 29 | |
| 7 | 2020 | 28 | |
| 8 | 2023 | 15 | |
| 9 | 2021 | 14 | |
| 10 | 2023 | 14 | |
| 11 | 2020 | 14 | |
| 12 | 2016 | 12 | |
| 13 | 2024 | 9 | |
| 14 | 2020 | 9 | |
| 15 | 2021 | 8 | |
| 16 | 2022 | 4 | |
| 17 | 2020 | 1 | |
| 18 | 2010 | 1 | |
| 19 | 2025 | 1 | |
| 20 | [Diagnostic circumstances and clinical forms of type 1 diabetes]. | 2018 | 1 |
About Marc Diedisheim
Marc Diedisheim is a scholar working on Surgery, Genetics, Epidemiology, Endocrinology, Diabetes and Metabolism and Molecular Biology, having authored 22 papers that have together received 535 indexed citations. Recurring topics across this work include Diabetes and associated disorders (7 papers), Pancreatic function and diabetes (4 papers), Diabetes Management and Research (3 papers), Pancreatic and Hepatic Oncology Research (2 papers), COVID-19 Clinical Research Studies (2 papers), Immune Cell Function and Interaction (2 papers), Bariatric Surgery and Outcomes (2 papers) and Diet and metabolism studies (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (138 citations), Immunology (165 citations), Genetics (194 citations), Surgery (175 citations) and Infectious Diseases (52 citations). Marc Diedisheim has collaborated with scholars based in France, United Kingdom and Italy. Frequent co-authors include Étienne Larger, Raphaël Scharfmann, Masaya Oshima, Roberto Mallone, Jamie Rossjohn, Ophélie Rouxel, Olivier Lantz, Badr Kiaf, Alexandra J. Corbett and Marion Salou. Their work appears in journals such as Diabetes & Metabolism, The Journal of Clinical Endocrinology & Metabolism, Molecular Metabolism, Metabolism and Nature Immunology.
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.