L T Williams

4.6k total citations · 2 hit papers
22 papers, 3.9k citations indexed

About

L T Williams is a scholar working on Molecular Biology, Cell Biology and Oncology. According to data from OpenAlex, L T Williams has authored 22 papers receiving a total of 3.9k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 4 papers in Cell Biology and 3 papers in Oncology. Recurrent topics in L T Williams's work include Fibroblast Growth Factor Research (6 papers), Protein Kinase Regulation and GTPase Signaling (5 papers) and Biochemical and Molecular Research (2 papers). L T Williams is often cited by papers focused on Fibroblast Growth Factor Research (6 papers), Protein Kinase Regulation and GTPase Signaling (5 papers) and Biochemical and Molecular Research (2 papers). L T Williams collaborates with scholars based in United States, Tanzania and Japan. L T Williams's 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 and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

L T Williams

22 papers receiving 3.8k citations

Hit Papers

Structure of the receptor for platelet-derived growth fac... 1986 2026 1999 2012 1986 1991 250 500 750 1000

Peers

L T Williams
Comparison fields: 5 of 109
  • Molecular Biology 2.7k
  • Cell Biology 659
  • Oncology 590
  • Immunology 553
  • Immunology and Allergy 424
Replace Ronald A. Seifert with:
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C H Heldin Sweden
Fouad Shalaby United States
Per Levéen Sweden
L Kieckens Belgium
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Carl‐Henrik Heldin Sweden
L E Gentry United States
Mary Dowd France
Saskia Pollefeyt Canada
Ronald A. Seifert United States View profile →
Citations per field, relative to L T Williams
L T Williams · 1×
Citations per year, relative to L T Williams
L T Williams · 1×

Countries citing papers authored by L T Williams

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
# 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-receptor breakdown →
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 receptors breakdown →
1058
17 191
18
Human platelet-derived growth factor: structure and function.
58
19 1
20 7

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.

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