D.S. Williamson
Impact in
- Aging top 10%
- Physiology top 5%
- Adenosine and Purinergic Signaling
Papers in ⓘ
-
- Adenosine and Purinergic Signaling 3
-
- Computational Drug Discovery Methods 5
- Co-authors
- P. Dokurno (8 shared papers)James B. Murray (7 shared papers)Geraint L. Francis (6 shared papers)Martin J. Drysdale (5 shared papers)T. Shaw (5 shared papers)Yikang Wang (5 shared papers)Mike Wood (4 shared papers)Andrew J. Massey (4 shared papers)
- Journals
- Bioorganic & Medicinal Chemistry Letters (8 papers)Journal of Medicinal Chemistry (3 papers)European Neuropsychopharmacology (2 papers)Molecular Cancer Therapeutics (1 paper)Journal of Magnetic Resonance (1 paper)
- Partner nations
- United KingdomDenmarkItaly
In The Last Decade
D.S. Williamson
25 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 97
- Aging 27
- Physiology 56
- Cell Biology 193
- Molecular Biology 693
- Organic Chemistry 272
Countries citing papers authored by D.S. Williamson
This map shows the geographic impact of D.S. Williamson'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 D.S. Williamson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites D.S. Williamson more than expected).
Fields of papers citing papers by D.S. Williamson
This network shows the impact of papers produced by D.S. Williamson. 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 D.S. Williamson. The network helps show where D.S. Williamson may publish in the future.
Co-authors
The 25 scholars most cited alongside D.S. Williamson, 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 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 241 | |
| 2 | 2009 | 175 | |
| 3 | 2014 | 121 | |
| 4 | 2011 | 88 | |
| 5 | 2017 | 73 | |
| 6 | 2005 | 60 | |
| 7 | 2005 | 56 | |
| 8 | 2008 | 55 | |
| 9 | 1998 | 43 | |
| 10 | 2007 | 38 | |
| 11 | 2009 | 27 | |
| 12 | 2008 | 24 | |
| 13 | 2021 | 23 | |
| 14 | 2003 | 21 | |
| 15 | 2006 | 17 | |
| 16 | 2003 | 16 | |
| 17 | 2008 | 15 | |
| 18 | 2017 | 15 | |
| 19 | 2017 | 14 | |
| 20 | 2000 | 12 |
About D.S. Williamson
D.S. Williamson is a scholar working on Physiology, Computational Theory and Mathematics, Organic Chemistry, Molecular Biology and Cell Biology, having authored 26 papers that have together received 1.2k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (5 papers), Radical Photochemical Reactions (5 papers), Heat shock proteins research (4 papers), Parkinson's Disease Mechanisms and Treatments (3 papers), Adenosine and Purinergic Signaling (3 papers), Plant Gene Expression Analysis (3 papers), Receptor Mechanisms and Signaling (3 papers) and Oxidative Organic Chemistry Reactions (3 papers). The work is most often cited by research in Aging (27 citations), Physiology (56 citations), Cell Biology (193 citations), Molecular Biology (693 citations) and Organic Chemistry (272 citations). D.S. Williamson has collaborated with scholars based in United Kingdom, Denmark and Italy. Frequent co-authors include P. Dokurno, James B. Murray, Geraint L. Francis, Martin J. Drysdale, T. Shaw, Yikang Wang, Mike Wood, Andrew J. Massey, Zoe Daniels and Rachel Parsons. Their work appears in journals such as Bioorganic & Medicinal Chemistry Letters, Journal of Medicinal Chemistry, European Neuropsychopharmacology, Molecular Cancer Therapeutics and Journal of Magnetic Resonance.
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.