L T Williams
- Molecular Biology top 0.5%
- Cell Biology top 0.5%
- Oncology top 2%
- Cellular and Molecular Neuroscience top 2%
- Immunology top 2%
- Co-authors
- Robert J. LefkowitzKevin G. PetersSabine WernerDaniel E. JohnsonJ A EscobedoRalph SnydermanJian LuTimothy P. Quinn
- Topics
- Fibroblast Growth Factor Research (13 papers)PI3K/AKT/mTOR signaling in cancer (8 papers)Protein Kinase Regulation and GTPase Signaling (8 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryJournal of Clinical Investigation
- Partner nations
- United StatesJapanSwitzerland
In The Last Decade
L T Williams
65 papers receiving 9.7k citations
Hit Papers
Peers
Comparison fields: 5 of 129
- Molecular Biology 7.2k
- Cell Biology 1.8k
- Oncology 1.2k
- Cellular and Molecular Neuroscience 1.1k
- Immunology 985
Countries citing papers authored by L T Williams
This map shows the geographic impact of L T Williams'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 L T Williams with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites L T Williams more than expected).
Fields of papers citing papers by L T Williams
This network shows the impact of papers produced by L T Williams. 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 L T Williams. The network helps show where L T Williams may publish in the future.
Co-authorship network of co-authors of L T Williams
This figure shows the co-authorship network connecting the top 25 collaborators of L T Williams. A scholar is included among the top collaborators of L T Williams 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 L T Williams. L T Williams is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | A receptor for vascular endothelial growth factor that stimulates endothelial apoptosis. | 6 |
| 2 | 178 | |
| 3 | 229 | |
| 4 | 52 | |
| 5 | 352 | |
| 6 | 17 | |
| 7 | SIGNALLING BY RECEPTOR TYROSINE KINASESbreakdown → | 894 |
| 8 | Large induction of keratinocyte growth factor expression in the dermis during wound healing.breakdown → | 517 |
| 9 | 239 | |
| 10 | 10 | |
| 11 | 12 | |
| 12 | 60 | |
| 13 | 37 | |
| 14 | 231 | |
| 15 | 25 | |
| 16 | 99 | |
| 17 | 220 | |
| 18 | 68 | |
| 19 | Thyroid hormone regulation of beta-adrenergic receptor number.breakdown → | 445 |
| 20 | 164 |
About L T Williams
L T Williams is a scholar working on Molecular Biology, Cell Biology and Aging, having authored 65 papers that have together received 10.2k indexed citations. Recurring topics across this work include Fibroblast Growth Factor Research (13 papers), PI3K/AKT/mTOR signaling in cancer (8 papers) and Protein Kinase Regulation and GTPase Signaling (8 papers). The work is most often cited by research in Cell Biology (1.8k citations), Immunology and Allergy (636 citations) and Molecular Biology (7.2k citations). L T Williams has collaborated with scholars based in United States, Japan and Switzerland. Frequent co-authors include Robert J. Lefkowitz, Kevin G. Peters, Sabine Werner, Daniel E. Johnson, J A Escobedo, Ralph Snyderman, Jian Lu, Timothy P. Quinn, Napoleone Ferrara and C. de Vries. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Investigation.
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.