Nevin A. Lambert
- Molecular Biology top 1%
- Cellular and Molecular Neuroscience top 0.5%
- Physiology top 5%
- Cell Biology top 5%
- Surgery top 10%
- Co-authors
- Timothy J. TeylerGregory J. DigbyNeil L. HarrisonJonathan A. JavitchGuangyu WuW. A. WilsonVadivel GanapathyMuthusamy Thangaraju
- Topics
- Receptor Mechanisms and Signaling (69 papers)Neuroscience and Neuropharmacology Research (27 papers)Neuropeptides and Animal Physiology (26 papers)
- Partner nations
- United StatesJapanGermany
In The Last Decade
Nevin A. Lambert
104 papers receiving 5.9k citations
Hit Papers
Peers
Comparison fields: 5 of 129
- Molecular Biology 4.6k
- Cellular and Molecular Neuroscience 2.8k
- Physiology 506
- Cell Biology 447
- Surgery 411
Countries citing papers authored by Nevin A. Lambert
This map shows the geographic impact of Nevin A. Lambert'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 Nevin A. Lambert with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nevin A. Lambert more than expected).
Fields of papers citing papers by Nevin A. Lambert
This network shows the impact of papers produced by Nevin A. Lambert. 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 Nevin A. Lambert. The network helps show where Nevin A. Lambert may publish in the future.
Co-authorship network of co-authors of Nevin A. Lambert
This figure shows the co-authorship network connecting the top 25 collaborators of Nevin A. Lambert. A scholar is included among the top collaborators of Nevin A. Lambert 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 Nevin A. Lambert. Nevin A. Lambert is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 4 | |
| 3 | 23 | |
| 4 | 16 | |
| 5 | 57 | |
| 6 | 9 | |
| 7 | 5 | |
| 8 | 53 | |
| 9 | 7 | |
| 10 | 100 | |
| 11 | Common activation mechanism of class A GPCRsbreakdown → | 396 |
| 12 | 71 | |
| 13 | 45 | |
| 14 | 129 | |
| 15 | 84 | |
| 16 | GPR109A Is a G-protein–Coupled Receptor for the Bacterial Fermentation Product Butyrate and Functions as a Tumor Suppressor in Colonbreakdown → | 622 |
| 17 | 41 | |
| 18 | 99 | |
| 19 | 6 | |
| 20 | 11 |
About Nevin A. Lambert
Nevin A. Lambert is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Cell Biology, having authored 105 papers that have together received 6.0k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (69 papers), Neuroscience and Neuropharmacology Research (27 papers) and Neuropeptides and Animal Physiology (26 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (2.8k citations), Molecular Biology (4.6k citations) and Physiology (190 citations). Nevin A. Lambert has collaborated with scholars based in United States, Japan and Germany. Frequent co-authors include Timothy J. Teyler, Gregory J. Digby, Neil L. Harrison, Jonathan A. Javitch, Guangyu Wu, W. A. Wilson, Vadivel Ganapathy, Muthusamy Thangaraju, Puttur D. Prasad and Sudhakiranmayi Kuravi. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.
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.