Roy Williams

2.2k citations
19 papers · 1.6k · h-index 16

Impact in

    • Pluripotent Stem Cells Research
    • CRISPR and Genetic Engineering
    • Epigenetics and DNA Methylation
    • S100 Proteins and Annexins
    • Renal and related cancers
    • Protease and Inhibitor Mechanisms

Papers in

    • Pluripotent Stem Cells Research 6
    • Epigenetics and DNA Methylation 3
    • CRISPR and Genetic Engineering 3
    • Single-cell and spatial transcriptomics 2
    • Protein Degradation and Inhibitors 2
    • Genomics and Chromatin Dynamics 2
    • MicroRNA in disease regulation 2

Roy Williams

19 papers receiving 1.6k citations

Peers

Roy Williams
Comparison fields: 5 of 96
  • Molecular Biology 1.3k
  • Cancer Research 259
  • Immunology 225
  • Oncology 247
  • Aging 14
Replace Narasimhaswamy S. Belaguli with:
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Ziqiang Yuan United States
Anja Runge Germany
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Keisuke Nimura Japan
Kamden R. Kopani United States
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Roy Williams relative to Narasimhaswamy S. Belaguli United States Narasimhaswamy S. Belaguli's profile →
Citations per field
00.5×1.5×2.2×
Narasimhaswamy S. Belaguli · 1×
Citations per year

Countries citing papers authored by Roy Williams

Since Specialization
Citations

This map shows the geographic impact of Roy 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 Roy Williams with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Roy Williams more than expected).

Fields of papers citing papers by Roy Williams

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Roy 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 Roy Williams Line = papers co-authored together Roy Williams links everyone, so they are left out of the graph.

All Works

19 of 19 papers shown
#Work
1 2011319
2 2011276
3 2008266
4 2010192
5 2011162
6 200761
7 201755
8 200854
9 201046
10 200941
11 201027
12 201025
13 200825
14 201522
15 201717
16 201216
17 201115
18 20136
19 20136

About Roy Williams

Roy Williams is a scholar working on Molecular Biology, Cancer Research, Immunology, Biomedical Engineering and Cardiology and Cardiovascular Medicine, having authored 19 papers that have together received 1.6k indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (6 papers), Epigenetics and DNA Methylation (3 papers), CRISPR and Genetic Engineering (3 papers), 3D Printing in Biomedical Research (3 papers), Single-cell and spatial transcriptomics (2 papers), Protein Degradation and Inhibitors (2 papers), MicroRNA in disease regulation (2 papers) and Genomics and Chromatin Dynamics (2 papers). The work is most often cited by research in Molecular Biology (1.3k citations), Cancer Research (259 citations), Immunology (225 citations), Oncology (247 citations) and Aging (14 citations). Roy Williams has collaborated with scholars based in United States, Japan and Germany. Frequent co-authors include Mie Ichikawa, Thomas Vogl, Ling Wang, Geetha Srikrishna, Frank Müller, Jeanne F. Loring, Nils Ole Schmidt, Louise C. Laurent, Bernhard Schuldt and Stan Krajewski. Their work appears in journals such as Journal of Biological Chemistry, Pulmonary Circulation, Nature Methods, Journal of Cellular Biochemistry and Journal of Molecular and Cellular Cardiology.

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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