Jérémie Lebrec
- Psychiatry and Mental health top 5%
- Endocrinology, Diabetes and Metabolism top 10%
- Molecular Biology
- Genetics
- Oncology
- Co-authors
- Hans C. van HouwelingenCatherine ReedBernhard HolznerL. ChauvenetA. CullSven D’haeseAnn‐Charlotte WaldenströmJuan Ignacio Arrarás
- Topics
- Diabetes Treatment and Management (18 papers)Diabetes Management and Research (12 papers)Metabolism, Diabetes, and Cancer (10 papers)
- Partner nations
- GermanyUnited StatesNetherlands
In The Last Decade
Jérémie Lebrec
53 papers receiving 789 citations
Peers
Comparison fields: 5 of 86
- Psychiatry and Mental health 193
- Endocrinology, Diabetes and Metabolism 190
- Molecular Biology 147
- Genetics 135
- Oncology 130
Countries citing papers authored by Jérémie Lebrec
This map shows the geographic impact of Jérémie Lebrec'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 Jérémie Lebrec with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jérémie Lebrec more than expected).
Fields of papers citing papers by Jérémie Lebrec
This network shows the impact of papers produced by Jérémie Lebrec. 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 Jérémie Lebrec. The network helps show where Jérémie Lebrec may publish in the future.
Co-authorship network of co-authors of Jérémie Lebrec
This figure shows the co-authorship network connecting the top 25 collaborators of Jérémie Lebrec. A scholar is included among the top collaborators of Jérémie Lebrec 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 Jérémie Lebrec. Jérémie Lebrec is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 3 | |
| 4 | 2 | |
| 5 | 8 | |
| 6 | 4 | |
| 7 | 1 | |
| 8 | 32 | |
| 9 | 41 | |
| 10 | 23 | |
| 11 | 1 | |
| 12 | 1 | |
| 13 | 20 | |
| 14 | 1 | |
| 15 | 1 | |
| 16 | 19 | |
| 17 | 9 | |
| 18 | 26 | |
| 19 | 4 | |
| 20 | An Analytic Study of the Impact of Genotyping Error in Mapping of Complex Traits Using Selected SIB Pairs - Session: Statistical Issues in Twin Studies | 1 |
About Jérémie Lebrec
Jérémie Lebrec is a scholar working on Endocrinology, Diabetes and Metabolism, Psychiatry and Mental health and Genetics, having authored 54 papers that have together received 804 indexed citations. Recurring topics across this work include Diabetes Treatment and Management (18 papers), Diabetes Management and Research (12 papers) and Metabolism, Diabetes, and Cancer (10 papers). The work is most often cited by research in Reproductive Medicine (108 citations), Psychiatry and Mental health (193 citations) and Endocrinology, Diabetes and Metabolism (190 citations). Jérémie Lebrec has collaborated with scholars based in Germany, United States and Netherlands. Frequent co-authors include Hans C. van Houwelingen, Catherine Reed, Bernhard Holzner, L. Chauvenet, A. Cull, Sven D’haese, Ann‐Charlotte Waldenström, Juan Ignacio Arrarás, Elfriede Greimel and Andrew Bottomley. Their work appears in journals such as Journal of Clinical Oncology, Diabetes Care and Diabetes.
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.