Marc Diedisheim

1.5k total citations
22 papers, 507 citations indexed

About

Marc Diedisheim is a scholar working on Endocrinology, Diabetes and Metabolism, Genetics and Surgery. According to data from OpenAlex, Marc Diedisheim has authored 22 papers receiving a total of 507 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Endocrinology, Diabetes and Metabolism, 12 papers in Genetics and 11 papers in Surgery. Recurrent topics in Marc Diedisheim's work include Diabetes and associated disorders (10 papers), Diabetes Management and Research (8 papers) and Pancreatic function and diabetes (7 papers). Marc Diedisheim is often cited by papers focused on Diabetes and associated disorders (10 papers), Diabetes Management and Research (8 papers) and Pancreatic function and diabetes (7 papers). Marc Diedisheim collaborates with scholars based in France, United Kingdom and Italy. Marc Diedisheim's co-authors include Raphaël Scharfmann, Étienne Larger, Masaya Oshima, Roberto Mallone, Marion Salou, Ophélie Rouxel, Jacques Beltrand, Michel Polak, Olivier Lantz and Agnès Lehuen and has published in prestigious journals such as Journal of Clinical Investigation, Nature Immunology and PLoS ONE.

In The Last Decade

Marc Diedisheim

20 papers receiving 501 citations

Peers

Marc Diedisheim
Comparison fields: 5 of 68
  • Genetics 213
  • Surgery 190
  • Immunology 166
  • Endocrinology, Diabetes and Metabolism 161
  • Molecular Biology 85
Replace Maria Luisa Manca Bitti with:
Maria Luisa Manca Bitti Italy
Clarke Pamela United Kingdom
L. Monetini Italy
Maren Pflueger Germany
Alfreda Krupoves Canada
Ahmed Amer Germany
Jonas Weyler Belgium
Pegah Ghandil Iran
Giacomo Mulinacci Italy
Sean Flynn United States
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Citations per field, relative to Marc Diedisheim
Marc Diedisheim · 1×
Citations per year, relative to Marc Diedisheim
Marc Diedisheim · 1×

Countries citing papers authored by Marc Diedisheim

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Marc Diedisheim

This figure shows the co-authorship network connecting the top 25 collaborators of Marc Diedisheim. A scholar is included among the top collaborators of Marc Diedisheim 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 Marc Diedisheim. Marc Diedisheim is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 1
2 0
3 6
4 13
5 13
6 3
7 8
8 14
9 37
10 8
11 25
12 1
13 14
14 63
15
[Diagnostic circumstances and clinical forms of type 1 diabetes].
1
16 35
17 43
18 184
19 12
20 25

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.

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