Murielle M. Véniant
- Molecular Biology top 2%
- Endocrinology, Diabetes and Metabolism top 0.5%
- Surgery top 2%
- Physiology top 2%
- Cardiology and Cardiovascular Medicine top 2%
- Co-authors
- Stephen G. YoungJing XuShanaka StanislausClarence HaleRichard LindbergDavid J. LloydRandy HechtMichelle Chen
- Topics
- Diabetes Treatment and Management (18 papers)Fibroblast Growth Factor Research (14 papers)Kruppel-like factors research (13 papers)
- Partner nations
- United StatesSwitzerlandJapan
In The Last Decade
Murielle M. Véniant
93 papers receiving 6.4k citations
Hit Papers
Peers
Comparison fields: 5 of 119
- Molecular Biology 3.7k
- Endocrinology, Diabetes and Metabolism 1.5k
- Surgery 1.4k
- Physiology 1.2k
- Cardiology and Cardiovascular Medicine 1.0k
Countries citing papers authored by Murielle M. Véniant
This map shows the geographic impact of Murielle M. Véniant'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 Murielle M. Véniant with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Murielle M. Véniant more than expected).
Fields of papers citing papers by Murielle M. Véniant
This network shows the impact of papers produced by Murielle M. Véniant. 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 Murielle M. Véniant. The network helps show where Murielle M. Véniant may publish in the future.
Co-authorship network of co-authors of Murielle M. Véniant
This figure shows the co-authorship network connecting the top 25 collaborators of Murielle M. Véniant. A scholar is included among the top collaborators of Murielle M. Véniant 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 Murielle M. Véniant. Murielle M. Véniant is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 11 | |
| 2 | 8 | |
| 3 | 110 | |
| 4 | 81 | |
| 5 | 172 | |
| 6 | 28 | |
| 7 | 87 | |
| 8 | 46 | |
| 9 | 119 | |
| 10 | 26 | |
| 11 | 77 | |
| 12 | 99 | |
| 13 | 361 | |
| 14 | 21 | |
| 15 | 122 | |
| 16 | 107 | |
| 17 | 15 | |
| 18 | 86 | |
| 19 | 11 | |
| 20 | 76 |
About Murielle M. Véniant
Murielle M. Véniant is a scholar working on Endocrinology, Diabetes and Metabolism, Cardiology and Cardiovascular Medicine and Molecular Biology, having authored 95 papers that have together received 6.5k indexed citations. Recurring topics across this work include Diabetes Treatment and Management (18 papers), Fibroblast Growth Factor Research (14 papers) and Kruppel-like factors research (13 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.5k citations), Biochemistry (419 citations) and Molecular Biology (3.7k citations). Murielle M. Véniant has collaborated with scholars based in United States, Switzerland and Japan. Frequent co-authors include Stephen G. Young, Jing Xu, Shanaka Stanislaus, Clarence Hale, Richard Lindberg, David J. Lloyd, Randy Hecht, Michelle Chen, Constance Zlot and Glenn Sivits. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Circulation.
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.