Gwyn T. Williams

12.5k citations
121 papers · 10.1k indexed · 6 hit papers · h-index 41
    • Cancer-related molecular mechanisms research 11
  • Immunology top 0.5%
    • interferon and immune responses 11
    • Immune Cell Function and Interaction 10
    • T-cell and B-cell Immunology 9
    • Cell death mechanisms and regulation 29
    • RNA modifications and cancer 14
    • RNA Research and Splicing 13
    • RNA Interference and Gene Delivery 10
  • Oncology top 1%
  • Hematology top 2%

Gwyn T. Williams

119 papers receiving 9.9k citations

Hit Papers

GAS5, a non-protein-coding RNA, controls ...66219892026200120132505007501000

Peers

Gwyn T. Williams
Comparison fields: 5 of 140
  • Cancer Research 2.7k
  • Immunology 3.0k
  • Molecular Biology 6.0k
  • Oncology 1.8k
  • Hematology 390
Replace Brydon L. Bennett with:
Brydon L. Bennett United States
Lin‐Feng Chen United States
Hiroyasu Nakano Japan
Anthony M. Manning United States
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Gwyn T. Williams relative to Brydon L. Bennett United States Brydon L. Bennett's profile →
Citations per field
00.5×1.5×2.1×
Brydon L. Bennett · 1×
Citations per year

Countries citing papers authored by Gwyn T. Williams

Since Specialization
Citations

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

Fields of papers citing papers by Gwyn T. Williams

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Gwyn T. Williams, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Gwyn T. Williams Line = papers co-authored together Gwyn T. Williams links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 201493
2 2014144
3 2013287
4 2010111
5 20096
6 2009125
7 200922
8 200337
9 2002163
10 20027
11 200049
12 19990
13 199824
14 1997117
15 199795
16 199637
17 199499
18 199296
19 1991444
20 19903

About Gwyn T. Williams

Gwyn T. Williams is a scholar working on Immunology, Cancer Research and Molecular Biology, having authored 121 papers that have together received 10.1k indexed citations. Recurring topics across this work include Cell death mechanisms and regulation (29 papers), RNA modifications and cancer (14 papers), RNA Research and Splicing (13 papers), interferon and immune responses (11 papers), Cancer-related molecular mechanisms research (11 papers), RNA Interference and Gene Delivery (10 papers), Immune Cell Function and Interaction (10 papers) and T-cell and B-cell Immunology (9 papers). The work is most often cited by research in Cancer Research (2.7k citations), Immunology (3.0k citations) and Molecular Biology (6.0k citations). Gwyn T. Williams has collaborated with scholars based in United Kingdom, United States and Malaysia. Frequent co-authors include Christopher A. Smith, Mark R. Pickard, Mirna Mourtada‐Maarabouni, Farzin Farzaneh, Christopher A. Smith, Eric J. Jenkinson, John J. T. Owen, Rosetta Kingston, John Gordon and Vanessa L. Hedge. Their work appears in journals such as Nature, Cell and Nature Communications.

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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