Kathryn E. Livingston
- Molecular Biology top 10%
- Cellular and Molecular Neuroscience top 2%
- Computational Theory and Mathematics top 5%
- Radiology, Nuclear Medicine and Imaging
- Physiology
- Co-authors
- John R. TraynorAashish ManglikStephen M. HusbandsRon O. DrorAdrian L. SanbornHideaki KatoAJ VenkatakrishnanToon Laeremans
- Topics
- Neuropeptides and Animal Physiology (11 papers)Receptor Mechanisms and Signaling (10 papers)Pharmacological Receptor Mechanisms and Effects (7 papers)
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
Kathryn E. Livingston
13 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 82
- Molecular Biology 979
- Cellular and Molecular Neuroscience 802
- Computational Theory and Mathematics 117
- Radiology, Nuclear Medicine and Imaging 111
- Physiology 92
Countries citing papers authored by Kathryn E. Livingston
This map shows the geographic impact of Kathryn E. Livingston'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 Kathryn E. Livingston with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kathryn E. Livingston more than expected).
Fields of papers citing papers by Kathryn E. Livingston
This network shows the impact of papers produced by Kathryn E. Livingston. 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 Kathryn E. Livingston. The network helps show where Kathryn E. Livingston may publish in the future.
Co-authorship network of co-authors of Kathryn E. Livingston
This figure shows the co-authorship network connecting the top 25 collaborators of Kathryn E. Livingston. A scholar is included among the top collaborators of Kathryn E. Livingston 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 Kathryn E. Livingston. Kathryn E. Livingston 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 | 51 | |
| 3 | 8 | |
| 4 | 14 | |
| 5 | 35 | |
| 6 | 33 | |
| 7 | 38 | |
| 8 | 57 | |
| 9 | Structural insights into µ-opioid receptor activationbreakdown → | 700 |
| 10 | 60 | |
| 11 | 37 | |
| 12 | 55 | |
| 13 | 17 |
About Kathryn E. Livingston
Kathryn E. Livingston is a scholar working on Cellular and Molecular Neuroscience, Geriatrics and Gerontology and Molecular Biology, having authored 13 papers that have together received 1.1k indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (11 papers), Receptor Mechanisms and Signaling (10 papers) and Pharmacological Receptor Mechanisms and Effects (7 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (802 citations), Molecular Biology (979 citations) and Computational Theory and Mathematics (117 citations). Kathryn E. Livingston has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include John R. Traynor, Aashish Manglik, Stephen M. Husbands, Ron O. Dror, Adrian L. Sanborn, Hideaki Kato, AJ Venkatakrishnan, Toon Laeremans, Jan Steyaert and Weijiao Huang. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and The Journal of Physical Chemistry B.
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.