William J. Welsh
Impact in
- Computational Theory and Mathematics top 0.2%
- Computational Drug Discovery Methods
- Pharmacology top 0.5%
- Pharmacogenetics and Drug Metabolism
Papers in
-
- Receptor Mechanisms and Signaling 12
- Pharmacological Receptor Mechanisms and Effects 12
- Protein Structure and Dynamics 10
-
- Computational Drug Discovery Methods 56
- Co-authors
- Ni Ai (15 shared papers)Weida Tong (15 shared papers)Chung S. Yang (3 shared papers)Roger Perkins (8 shared papers)Vladyslav Kholodovych (23 shared papers)Sean Ekins (11 shared papers)Yi Sun (1 shared paper)Ming Zhu Fang (1 shared paper)
- Journals
- Journal of Medicinal Chemistry (16 papers)Macromolecules (8 papers)Journal of Molecular Graphics and Modelling (8 papers)Polymer (7 papers)Analytical Chemistry (7 papers)
- Partner nations
- United StatesUnited KingdomChina
In The Last Decade
William J. Welsh
226 papers receiving 7.4k citations
William J. Welsh's Hit Papers
Peers
Comparison fields: 5 of 196
- Computational Theory and Mathematics 1.4k
- Pharmacology 438
- Applied Microbiology and Biotechnology 93
- Molecular Biology 2.9k
- Organic Chemistry 1.2k
Countries citing papers authored by William J. Welsh
This map shows the geographic impact of William J. Welsh'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 William J. Welsh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites William J. Welsh more than expected).
Fields of papers citing papers by William J. Welsh
This network shows the impact of papers produced by William J. Welsh. 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 William J. Welsh. The network helps show where William J. Welsh may publish in the future.
Co-authors
The 25 scholars most cited alongside William J. Welsh, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 233 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Tea polyphenol (-)-epigallocatechin-3-gallate inhibits DNA methyltransferase and reactivates methylation-silenced genes in cancer cell lines. Hit paper breakdown → | 2003 | 837 |
| 2 | 2003 | 200 | |
| 3 | 2012 | 171 | |
| 4 | 1998 | 163 | |
| 5 | 2000 | 152 | |
| 6 | 2007 | 143 | |
| 7 | 2004 | 129 | |
| 8 | 2007 | 123 | |
| 9 | 2015 | 118 | |
| 10 | 1997 | 117 | |
| 11 | 2005 | 116 | |
| 12 | 2003 | 109 | |
| 13 | 1996 | 97 | |
| 14 | 2003 | 95 | |
| 15 | 2005 | 93 | |
| 16 | 2008 | 93 | |
| 17 | 2004 | 88 | |
| 18 | 2008 | 78 | |
| 19 | 2007 | 75 | |
| 20 | 2009 | 75 |
About William J. Welsh
William J. Welsh is a scholar working on Molecular Biology, Computational Theory and Mathematics, Organic Chemistry, Materials Chemistry and Spectroscopy, having authored 233 papers that have together received 7.6k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (56 papers), Estrogen and related hormone effects (17 papers), Analytical Chemistry and Chromatography (14 papers), Receptor Mechanisms and Signaling (12 papers), Pharmacological Receptor Mechanisms and Effects (12 papers), Protein Structure and Dynamics (10 papers), Synthesis and properties of polymers (9 papers) and Chemical Thermodynamics and Molecular Structure (9 papers). The work is most often cited by research in Computational Theory and Mathematics (1.4k citations), Pharmacology (438 citations), Applied Microbiology and Biotechnology (93 citations), Molecular Biology (2.9k citations) and Organic Chemistry (1.2k citations). William J. Welsh has collaborated with scholars based in United States, United Kingdom and China. Frequent co-authors include Ni Ai, Weida Tong, Chung S. Yang, Roger Perkins, Vladyslav Kholodovych, Sean Ekins, Yi Sun, Ming Zhu Fang, Zhé Hóu and Hong Lu. Their work appears in journals such as Journal of Medicinal Chemistry, Macromolecules, Journal of Molecular Graphics and Modelling, Polymer and Analytical 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.