Lawrence S. Mathews
- Molecular Biology top 2%
- Endocrinology, Diabetes and Metabolism top 0.5%
- Genetics top 2%
- Oncology top 5%
- Surgery top 10%
- Co-authors
- Wylie ValeGunnar NorstedtRichard D. PalmiterRalph L. BrinsterB. EnbergRobert E. HammerRichard R. BehringerCole M. Zimmerman
- Topics
- TGF-β signaling in diseases (17 papers)Growth Hormone and Insulin-like Growth Factors (14 papers)Animal Genetics and Reproduction (7 papers)
- Partner nations
- United StatesSwedenSwitzerland
In The Last Decade
Lawrence S. Mathews
35 papers receiving 4.6k citations
Hit Papers
Peers
Comparison fields: 5 of 110
- Molecular Biology 3.0k
- Endocrinology, Diabetes and Metabolism 1.9k
- Genetics 1.1k
- Oncology 493
- Surgery 417
Countries citing papers authored by Lawrence S. Mathews
This map shows the geographic impact of Lawrence S. Mathews'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 Lawrence S. Mathews with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lawrence S. Mathews more than expected).
Fields of papers citing papers by Lawrence S. Mathews
This network shows the impact of papers produced by Lawrence S. Mathews. 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 Lawrence S. Mathews. The network helps show where Lawrence S. Mathews may publish in the future.
Co-authorship network of co-authors of Lawrence S. Mathews
This figure shows the co-authorship network connecting the top 25 collaborators of Lawrence S. Mathews. A scholar is included among the top collaborators of Lawrence S. Mathews 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 Lawrence S. Mathews. Lawrence S. Mathews is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Report from the Country of No Country | 6 |
| 2 | 155 | |
| 3 | 78 | |
| 4 | 37 | |
| 5 | 4 | |
| 6 | 70 | |
| 7 | 1 | |
| 8 | 226 | |
| 9 | 16 | |
| 10 | 64 | |
| 11 | 67 | |
| 12 | Expression cloning of an activin receptor, a predicted transmembrane serine kinasebreakdown → | 639 |
| 13 | 18 | |
| 14 | 48 | |
| 15 | 45 | |
| 16 | 9 | |
| 17 | 197 | |
| 18 | 155 | |
| 19 | 147 | |
| 20 | 372 |
About Lawrence S. Mathews
Lawrence S. Mathews is a scholar working on Endocrinology, Diabetes and Metabolism, Genetics and Molecular Biology, having authored 35 papers that have together received 4.7k indexed citations. Recurring topics across this work include TGF-β signaling in diseases (17 papers), Growth Hormone and Insulin-like Growth Factors (14 papers) and Animal Genetics and Reproduction (7 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.9k citations), Molecular Biology (3.0k citations) and Genetics (1.1k citations). Lawrence S. Mathews has collaborated with scholars based in United States, Sweden and Switzerland. Frequent co-authors include Wylie Vale, Gunnar Norstedt, Richard D. Palmiter, Ralph L. Brinster, B. Enberg, Robert E. Hammer, Richard R. Behringer, Cole M. Zimmerman, Masayuki Funaba and Chris Kintner. Their work appears in journals such as Science, Cell 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.