L T Williams
- Molecular Biology top 2%
- Cell Biology top 2%
- Oncology top 5%
- Immunology top 5%
- Immunology and Allergy top 1%
- Co-authors
- Jaime A. EscobedoVictor A. FriedDale MilfayThomas O. DanielJ A EscobedoKevin G. PetersC. de VriesPatrice Tremble
- Topics
- Fibroblast Growth Factor Research (6 papers)Protein Kinase Regulation and GTPase Signaling (5 papers)Biochemical and Molecular Research (2 papers)
- Partner nations
- United StatesTanzaniaJapan
In The Last Decade
L T Williams
22 papers receiving 3.8k citations
Hit Papers
Peers
Comparison fields: 5 of 109
- Molecular Biology 2.7k
- Cell Biology 659
- Oncology 590
- Immunology 553
- Immunology and Allergy 424
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 | 8 | |
| 2 | Signaling molecules that mediate the actions of FGF. | 6 |
| 3 | 126 | |
| 4 | 88 | |
| 5 | 390 | |
| 6 | 7 | |
| 7 | 93 | |
| 8 | cDNA cloning of a Novel 85 kd protein that has SH2 domains and regulates binding of PI3-kinase to the PDGF β-receptorbreakdown → | 528 |
| 9 | 11 | |
| 10 | 365 | |
| 11 | 405 | |
| 12 | 171 | |
| 13 | 107 | |
| 14 | 46 | |
| 15 | 202 | |
| 16 | Structure of the receptor for platelet-derived growth factor helps define a family of closely related growth factor receptorsbreakdown → | 1058 |
| 17 | 191 | |
| 18 | Human platelet-derived growth factor: structure and function. | 58 |
| 19 | 1 | |
| 20 | 7 |
About L T Williams
L T Williams is a scholar working on Cell Biology, Molecular Biology and Immunology and Allergy, having authored 22 papers that have together received 3.9k indexed citations. Recurring topics across this work include Fibroblast Growth Factor Research (6 papers), Protein Kinase Regulation and GTPase Signaling (5 papers) and Biochemical and Molecular Research (2 papers). The work is most often cited by research in Immunology and Allergy (424 citations), Cell Biology (659 citations) and Molecular Biology (2.7k citations). L T Williams has collaborated with scholars based in United States, Tanzania and Japan. Frequent co-authors include Jaime A. Escobedo, Victor A. Fried, Dale Milfay, Thomas O. Daniel, J A Escobedo, Kevin G. Peters, C. de Vries, Patrice Tremble, Kathleen S. Keegan and M J Hayman. Their work appears in journals such as Nature, 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.