Zsolt Lenkei
- Cellular and Molecular Neuroscience top 1%
- Biomedical Engineering top 2%
- Pharmacology top 0.5%
- Molecular Biology top 10%
- Radiology, Nuclear Medicine and Imaging top 1%
- Co-authors
- Catherine Llorens‐CortésSophie PezetMickaël TanterMiklós PalkovitsPierre CorvolClaudia ErricoOlivier CoutureJuliette Pierre
- Topics
- Receptor Mechanisms and Signaling (16 papers)Renin-Angiotensin System Studies (13 papers)Neuroscience and Neuropharmacology Research (12 papers)
- Journals
- NatureProceedings of the National Academy of SciencesJournal of the American Chemical Society
- Partner nations
- FranceHungaryUnited States
In The Last Decade
Zsolt Lenkei
67 papers receiving 4.5k citations
Hit Papers
Peers
Comparison fields: 5 of 135
- Cellular and Molecular Neuroscience 1.2k
- Biomedical Engineering 1.2k
- Pharmacology 1.2k
- Molecular Biology 1.1k
- Radiology, Nuclear Medicine and Imaging 997
Countries citing papers authored by Zsolt Lenkei
This map shows the geographic impact of Zsolt Lenkei'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 Zsolt Lenkei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zsolt Lenkei more than expected).
Fields of papers citing papers by Zsolt Lenkei
This network shows the impact of papers produced by Zsolt Lenkei. 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 Zsolt Lenkei. The network helps show where Zsolt Lenkei may publish in the future.
Co-authorship network of co-authors of Zsolt Lenkei
This figure shows the co-authorship network connecting the top 25 collaborators of Zsolt Lenkei. A scholar is included among the top collaborators of Zsolt Lenkei 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 Zsolt Lenkei. Zsolt Lenkei is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 8 | |
| 2 | 11 | |
| 3 | 21 | |
| 4 | 86 | |
| 5 | 19 | |
| 6 | 19 | |
| 7 | 69 | |
| 8 | 19 | |
| 9 | 28 | |
| 10 | 75 | |
| 11 | 66 | |
| 12 | 30 | |
| 13 | 186 | |
| 14 | 27 | |
| 15 | 98 | |
| 16 | 61 | |
| 17 | 347 | |
| 18 | 111 | |
| 19 | 17 | |
| 20 | 4 |
About Zsolt Lenkei
Zsolt Lenkei is a scholar working on Cellular and Molecular Neuroscience, Pharmacology and Biophysics, having authored 67 papers that have together received 4.5k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (16 papers), Renin-Angiotensin System Studies (13 papers) and Neuroscience and Neuropharmacology Research (12 papers). The work is most often cited by research in Pharmacology (1.2k citations), Cellular and Molecular Neuroscience (1.2k citations) and Radiology, Nuclear Medicine and Imaging (997 citations). Zsolt Lenkei has collaborated with scholars based in France, Hungary and United States. Frequent co-authors include Catherine Llorens‐Cortés, Sophie Pezet, Mickaël Tanter, Miklós Palkovits, Pierre Corvol, Claudia Errico, Olivier Couture, Juliette Pierre, Éric Desailly and Nadia De Mota. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.
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.