José Timsit

6.4k citations
136 papers · 4.1k · h-index 35

Impact in

Papers in

    • Pancreatic function and diabetes 44
    • Diabetes and associated disorders 44

José Timsit

131 papers receiving 4.0k citations

Peers

José Timsit
Comparison fields: 5 of 104
  • Endocrinology, Diabetes and Metabolism 1.1k
  • Genetics 1.4k
  • Obstetrics and Gynecology 325
  • Surgery 1.5k
  • Endocrine and Autonomic Systems 143
Replace Giovanna Mantovani with:
Giovanna Mantovani Italy
Corrado Betterle Italy
Akihisa Imagawa Japan
Kirsti Näntö‐Salonen Finland
Jan Lebl Czechia
Luís Castaño Spain
Hironori Yamasaki Japan
Bobby P. C. Koeleman Netherlands
Kristien Boelaert United Kingdom
Thomas P. Foley United States
José Timsit relative to Giovanna Mantovani Italy Giovanna Mantovani's profile →
Citations per field
00.5×3.7×
Giovanna Mantovani · 1×
Citations per year

Countries citing papers authored by José Timsit

Since Specialization
Citations

This map shows the geographic impact of José Timsit'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 José Timsit with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites José Timsit more than expected).

Fields of papers citing papers by José Timsit

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by José Timsit. 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 José Timsit. The network helps show where José Timsit may publish in the future.

Co-authors

The 25 scholars most cited alongside José Timsit, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with José Timsit Line = papers co-authored together José Timsit links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 136 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004268
2 1992235
3 2005205
4 1997195
5 1999187
6 1998172
7 2001131
8 1990119
9 2017119
10 199899
11 200098
12 199391
13 200588
14 199373
15 199370
16 200467
17 201164
18 200361
19 200759
20
Heterogeneity of fetal growth in type 1 diabetic pregnancy.
200155

About José Timsit

José Timsit is a scholar working on Surgery, Genetics, Endocrinology, Diabetes and Metabolism, Molecular Biology and Obstetrics and Gynecology, having authored 136 papers that have together received 4.1k indexed citations. Recurring topics across this work include Diabetes and associated disorders (44 papers), Pancreatic function and diabetes (44 papers), Diabetes Management and Research (21 papers), Gestational Diabetes Research and Management (18 papers), Immune Cell Function and Interaction (10 papers), Metabolism, Diabetes, and Cancer (9 papers), Pituitary Gland Disorders and Treatments (9 papers) and Diabetes Treatment and Management (9 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.1k citations), Genetics (1.4k citations), Obstetrics and Gynecology (325 citations), Surgery (1.5k citations) and Endocrine and Autonomic Systems (143 citations). José Timsit has collaborated with scholars based in France, United States and Brazil. Frequent co-authors include Danièle Dubois‐Laforgue, Christine Bellanné‐Chantelot, Christian Boîtard, Gilberto Velho, Sophie Caillat‐Zucman, J. Lepercq, Jean‐François Bach, R Assan, Sylvie Hauguel‐de Mouzon and Idriss Djilali-Saiah. Their work appears in journals such as Diabetes & Metabolism, Diabetes, Diabetes Care, Human Immunology and Journal of Autoimmunity.

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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