T N Lavin
- Molecular Biology top 10%
- Cellular and Molecular Neuroscience top 5%
- Endocrinology, Diabetes and Metabolism top 5%
- Animal Science and Zoology top 5%
- Genetics top 10%
- Co-authors
- Robert J. LefkowitzMarc G. CaronJohn D. BaxterP NambiSarah L. HealdRobert ShorrJeffrey M. StadelPeter W. Jeffs
- Topics
- Receptor Mechanisms and Signaling (10 papers)Pharmacological Effects and Assays (9 papers)Estrogen and related hormone effects (5 papers)
- Cited by
- Cellular and Molecular NeuroscienceAnimal Science and ZoologyEndocrinology, Diabetes and Metabolism
- Partner nations
- United StatesSwedenFinland
In The Last Decade
T N Lavin
22 papers receiving 956 citations
Peers
Comparison fields: 5 of 87
- Molecular Biology 714
- Cellular and Molecular Neuroscience 379
- Endocrinology, Diabetes and Metabolism 226
- Animal Science and Zoology 191
- Genetics 191
Countries citing papers authored by T N Lavin
This map shows the geographic impact of T N Lavin'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 T N Lavin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T N Lavin more than expected).
Fields of papers citing papers by T N Lavin
This network shows the impact of papers produced by T N Lavin. 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 T N Lavin. The network helps show where T N Lavin may publish in the future.
Co-authorship network of co-authors of T N Lavin
This figure shows the co-authorship network connecting the top 25 collaborators of T N Lavin. A scholar is included among the top collaborators of T N Lavin 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 T N Lavin. T N Lavin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 10 | |
| 2 | 19 | |
| 3 | Npi402 and ncsu1 are identical; inra1 (tmp) maps upstream of the b promoter. | 4 |
| 4 | 39 | |
| 5 | 65 | |
| 6 | 84 | |
| 7 | 33 | |
| 8 | 68 | |
| 9 | 162 | |
| 10 | 64 | |
| 11 | 14 | |
| 12 | 90 | |
| 13 | 63 | |
| 14 | 57 | |
| 15 | 52 | |
| 16 | 94 | |
| 17 | Determination of subtype selectivity of alpha-adrenergic antagonists: comparison of selective and nonselective radioligands. | 33 |
| 18 | 6 | |
| 19 | 46 | |
| 20 | 15 |
About T N Lavin
T N Lavin is a scholar working on Animal Science and Zoology, Endocrinology, Diabetes and Metabolism and Cellular and Molecular Neuroscience, having authored 22 papers that have together received 1.0k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (10 papers), Pharmacological Effects and Assays (9 papers) and Estrogen and related hormone effects (5 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (379 citations), Animal Science and Zoology (191 citations) and Endocrinology, Diabetes and Metabolism (226 citations). T N Lavin has collaborated with scholars based in United States, Sweden and Finland. Frequent co-authors include Robert J. Lefkowitz, Marc G. Caron, John D. Baxter, P Nambi, Sarah L. Heald, Robert Shorr, Jeffrey M. Stadel, Peter W. Jeffs, Mark W. Strohsacker and Robert Ruffolo. Their work appears in journals such as Proceedings of the National Academy of Sciences, JAMA 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.