Laurence Tiret
- Cardiology and Cardiovascular Medicine top 0.1%
- Endocrinology, Diabetes and Metabolism top 0.1%
- Molecular Biology top 2%
- Surgery top 0.5%
- Genetics top 0.5%
- Co-authors
- François CambienStefan BlankenbergChristoph BickelOdette PoirierFlorent SoubrierHans J. RupprechtDominique ArveilerSandrine Barbaux
- Topics
- Genetic Associations and Epidemiology (32 papers)Adipokines, Inflammation, and Metabolic Diseases (23 papers)Atherosclerosis and Cardiovascular Diseases (18 papers)
- Partner nations
- FranceGermanyUnited Kingdom
In The Last Decade
Laurence Tiret
151 papers receiving 15.0k citations
Hit Papers
Peers
Comparison fields: 5 of 161
- Cardiology and Cardiovascular Medicine 7.0k
- Endocrinology, Diabetes and Metabolism 4.2k
- Molecular Biology 3.3k
- Surgery 2.9k
- Genetics 2.2k
Countries citing papers authored by Laurence Tiret
This map shows the geographic impact of Laurence Tiret'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 Laurence Tiret with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Laurence Tiret more than expected).
Fields of papers citing papers by Laurence Tiret
This network shows the impact of papers produced by Laurence Tiret. 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 Laurence Tiret. The network helps show where Laurence Tiret may publish in the future.
Co-authorship network of co-authors of Laurence Tiret
This figure shows the co-authorship network connecting the top 25 collaborators of Laurence Tiret. A scholar is included among the top collaborators of Laurence Tiret 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 Laurence Tiret. Laurence Tiret is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 92 | |
| 2 | 38 | |
| 3 | 21 | |
| 4 | 85 | |
| 5 | 29 | |
| 6 | 78 | |
| 7 | 56 | |
| 8 | 86 | |
| 9 | 39 | |
| 10 | 72 | |
| 11 | 18 | |
| 12 | 30 | |
| 13 | 28 | |
| 14 | 30 | |
| 15 | 124 | |
| 16 | 24 | |
| 17 | 118 | |
| 18 | 12 | |
| 19 | 56 | |
| 20 | 25 |
About Laurence Tiret
Laurence Tiret is a scholar working on Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism and Genetics, having authored 151 papers that have together received 15.5k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (32 papers), Adipokines, Inflammation, and Metabolic Diseases (23 papers) and Atherosclerosis and Cardiovascular Diseases (18 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (7.0k citations), Endocrinology, Diabetes and Metabolism (4.2k citations) and Hematology (1.3k citations). Laurence Tiret has collaborated with scholars based in France, Germany and United Kingdom. Frequent co-authors include François Cambien, Stefan Blankenberg, Christoph Bickel, Odette Poirier, Florent Soubrier, Hans J. Rupprecht, Dominique Arveiler, Sandrine Barbaux, Viviane Nicaud and Stefan Blankenberg. Their work appears in journals such as Nature, New England Journal of Medicine and The Lancet.
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.