Richard T. Williams

10.0k citations
60 papers · 4.6k indexed · 1 hit paper · h-index 31
Topics
Chronic Myeloid Leukemia Treatments (13 papers)Cancer Genomics and Diagnostics (9 papers)Cancer-related Molecular Pathways (9 papers)

In The Last Decade

Richard T. Williams

58 papers receiving 4.5k citations

Hit Papers

The molecular evolution of acquired resistance to targete...201220262016202120124008001.2k

Peers

Richard T. Williams
Comparison fields: 5 of 144
  • Molecular Biology 2.1k
  • Oncology 1.7k
  • Cancer Research 1.3k
  • Pulmonary and Respiratory Medicine 770
  • Pathology and Forensic Medicine 589
Replace Nelson S. Yee with:
Nelson S. Yee United States
Dong Xie China
Susan M. Henshall Australia
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Richard T. Williams relative to Nelson S. Yee United States Nelson S. Yee's profile →
Citations per field
00.5×3.8×
Nelson S. Yee · 1×
Citations per year

Countries citing papers authored by Richard T. Williams

Since Specialization
Citations

This map shows the geographic impact of Richard 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 Richard 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 Richard T. Williams more than expected).

Fields of papers citing papers by Richard T. Williams

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Richard 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 Richard T. Williams. The network helps show where Richard T. Williams may publish in the future.

Co-authorship network of co-authors of Richard T. Williams

This figure shows the co-authorship network connecting the top 25 collaborators of Richard T. Williams. A scholar is included among the top collaborators of Richard 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 Richard T. Williams. Richard 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
#WorkIndexed citations
1 89
2 11
3 11
4 39
5 2
6 10
7
The molecular evolution of acquired resistance to targeted EGFR blockade in colorectal cancersbreakdown →
1290
8 2
9 141
10 53
11 68
12 134
13 12
14 85
15 84
16 124
17 254
18 18
19 14
20 128

About Richard T. Williams

Richard T. Williams is a scholar working on Hematology, Cancer Research and Oncology, having authored 60 papers that have together received 4.6k indexed citations. Recurring topics across this work include Chronic Myeloid Leukemia Treatments (13 papers), Cancer Genomics and Diagnostics (9 papers) and Cancer-related Molecular Pathways (9 papers). The work is most often cited by research in Sensory Systems (528 citations), Cancer Research (1.3k citations) and Oncology (1.7k citations). Richard T. Williams has collaborated with scholars based in United States, Australia and United Kingdom. Frequent co-authors include Charles J. Sherr, Kelly S. Oliner, Isaac Kinde, Johannes G. Reiter, Martin A. Nowak, Kenneth W. Kinzler, Luis A. Díaz, Benjamin Allen, Jian Wu and Ivana Božić. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences 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.

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