Rony Nehmé
- Molecular Biology top 5%
- Cellular and Molecular Neuroscience top 2%
- Radiology, Nuclear Medicine and Imaging top 5%
- Spectroscopy top 5%
- Computational Theory and Mathematics top 5%
- Co-authors
- Christopher G. TateTony WarneAndrew G. W. LesliePatricia C. EdwardsByron CarpenterGebhard F. X. SchertlerJillian G. BakerR. Moukhametzianov
- Topics
- Receptor Mechanisms and Signaling (10 papers)Hedgehog Signaling Pathway Studies (5 papers)Neuropeptides and Animal Physiology (5 papers)
- Partner nations
- United KingdomFranceUnited States
In The Last Decade
Rony Nehmé
18 papers receiving 2.0k citations
Hit Papers
Peers
Comparison fields: 5 of 87
- Molecular Biology 1.9k
- Cellular and Molecular Neuroscience 1.1k
- Radiology, Nuclear Medicine and Imaging 337
- Spectroscopy 223
- Computational Theory and Mathematics 184
Countries citing papers authored by Rony Nehmé
This map shows the geographic impact of Rony Nehmé'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 Rony Nehmé with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rony Nehmé more than expected).
Fields of papers citing papers by Rony Nehmé
This network shows the impact of papers produced by Rony Nehmé. 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 Rony Nehmé. The network helps show where Rony Nehmé may publish in the future.
Co-authorship network of co-authors of Rony Nehmé
This figure shows the co-authorship network connecting the top 25 collaborators of Rony Nehmé. A scholar is included among the top collaborators of Rony Nehmé 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 Rony Nehmé. Rony Nehmé is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 19 | |
| 2 | 1 | |
| 3 | 191 | |
| 4 | 52 | |
| 5 | 163 | |
| 6 | 244 | |
| 7 | 200 | |
| 8 | Structure of the adenosine A(2A) receptor bound to an engineered G protein (vol 536, pg 104, 2016) | 7 |
| 9 | 333 | |
| 10 | 143 | |
| 11 | 39 | |
| 12 | The structural basis for agonist and partial agonist action on a β1-adrenergic receptorbreakdown → | 513 |
| 13 | 83 | |
| 14 | 39 | |
| 15 | 17 | |
| 16 | 3 | |
| 17 | 12 | |
| 18 | 8 |
About Rony Nehmé
Rony Nehmé is a scholar working on Physiology, Cellular and Molecular Neuroscience and Molecular Biology, having authored 18 papers that have together received 2.1k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (10 papers), Hedgehog Signaling Pathway Studies (5 papers) and Neuropeptides and Animal Physiology (5 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.1k citations), Physiology (152 citations) and Molecular Biology (1.9k citations). Rony Nehmé has collaborated with scholars based in United Kingdom, France and United States. Frequent co-authors include Christopher G. Tate, Tony Warne, Andrew G. W. Leslie, Patricia C. Edwards, Byron Carpenter, Gebhard F. X. Schertler, Jillian G. Baker, R. Moukhametzianov, Javier García‐Nafría and Asuka Inoue. Their work appears in journals such as Nature, Journal of Biological Chemistry and PLoS ONE.
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.