Tony Warne
- Molecular Biology top 1%
- Cellular and Molecular Neuroscience top 0.5%
- Radiology, Nuclear Medicine and Imaging top 2%
- Computational Theory and Mathematics top 1%
- Physiology top 0.5%
- Co-authors
- Christopher G. TateAndrew G. W. LesliePatricia C. EdwardsGebhard F. X. SchertlerR. MoukhametzianovJillian G. BakerRony NehméMaría J. Serrano‐Vega
- Topics
- Receptor Mechanisms and Signaling (18 papers)Neuropeptides and Animal Physiology (11 papers)Photosynthetic Processes and Mechanisms (8 papers)
- Partner nations
- United KingdomGermanySwitzerland
In The Last Decade
Tony Warne
33 papers receiving 4.7k citations
Hit Papers
Peers
Comparison fields: 5 of 112
- Molecular Biology 4.4k
- Cellular and Molecular Neuroscience 2.4k
- Radiology, Nuclear Medicine and Imaging 814
- Computational Theory and Mathematics 496
- Physiology 459
Countries citing papers authored by Tony Warne
This map shows the geographic impact of Tony Warne'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 Tony Warne with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tony Warne more than expected).
Fields of papers citing papers by Tony Warne
This network shows the impact of papers produced by Tony Warne. 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 Tony Warne. The network helps show where Tony Warne may publish in the future.
Co-authorship network of co-authors of Tony Warne
This figure shows the co-authorship network connecting the top 25 collaborators of Tony Warne. A scholar is included among the top collaborators of Tony Warne 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 Tony Warne. Tony Warne is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 191 | |
| 2 | 85 | |
| 3 | 214 | |
| 4 | 83 | |
| 5 | Structure of the adenosine A(2A) receptor bound to an engineered G protein (vol 536, pg 104, 2016) | 7 |
| 6 | 12 | |
| 7 | 123 | |
| 8 | 190 | |
| 9 | 75 | |
| 10 | The structural basis for agonist and partial agonist action on a β1-adrenergic receptorbreakdown → | 513 |
| 11 | Agonist-bound adenosine A2A receptor structures reveal common features of GPCR activationbreakdown → | 700 |
| 12 | 19 | |
| 13 | 83 | |
| 14 | Structure of a β1-adrenergic G-protein-coupled receptorbreakdown → | 1119 |
| 15 | 65 | |
| 16 | 75 | |
| 17 | 88 | |
| 18 | 133 | |
| 19 | 1 | |
| 20 | 23 |
About Tony Warne
Tony Warne is a scholar working on Cellular and Molecular Neuroscience, Structural Biology and Physiology, having authored 33 papers that have together received 4.8k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (18 papers), Neuropeptides and Animal Physiology (11 papers) and Photosynthetic Processes and Mechanisms (8 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (2.4k citations), Physiology (459 citations) and Molecular Biology (4.4k citations). Tony Warne has collaborated with scholars based in United Kingdom, Germany and Switzerland. Frequent co-authors include Christopher G. Tate, Andrew G. W. Leslie, Patricia C. Edwards, Gebhard F. X. Schertler, R. Moukhametzianov, Jillian G. Baker, Rony Nehmé, María J. Serrano‐Vega, Guillaume Lebon and Richard A. Henderson. Their work appears in journals such as Nature, Science and Proceedings of the National Academy of Sciences.
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.