D.S. Williamson
Impact in
- Aging top 10%
- Physiology top 5%
- Adenosine and Purinergic Signaling
Papers in
-
- Heat shock proteins research 4
- Plant Gene Expression Analysis 3
-
- Radical Photochemical Reactions 5
- Co-authors
- P. Dokurno (8 shared papers)James B. Murray (7 shared papers)Geraint L. Francis (6 shared papers)T. Shaw (5 shared papers)Yikang Wang (5 shared papers)Christopher J Graham (4 shared papers)Mike Wood (4 shared papers)Rachel Parsons (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)Progress in medicinal chemistry (1 paper)
- Partner nations
- United KingdomDenmarkSpain
In The Last Decade
D.S. Williamson
27 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 95
- Aging 28
- Physiology 61
- Cell Biology 201
- Molecular Biology 743
- Organic Chemistry 281
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 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 264 | |
| 2 | 2009 | 190 | |
| 3 | 2014 | 136 | |
| 4 | 2011 | 96 | |
| 5 | 2017 | 75 | |
| 6 | 2005 | 63 | |
| 7 | 2005 | 62 | |
| 8 | 2008 | 59 | |
| 9 | 1998 | 43 | |
| 10 | 2007 | 40 | |
| 11 | 2009 | 29 | |
| 12 | 2008 | 28 | |
| 13 | 2021 | 26 | |
| 14 | 2003 | 21 | |
| 15 | 2006 | 17 | |
| 16 | 2003 | 17 | |
| 17 | 2017 | 16 | |
| 18 | 2008 | 16 | |
| 19 | 2017 | 14 | |
| 20 | 2000 | 13 |
About D.S. Williamson
D.S. Williamson is a scholar working on Molecular Biology, Organic Chemistry, Pharmacology, Neurology and Computational Theory and Mathematics, having authored 28 papers that have together received 1.3k indexed citations. Recurring topics across this work include Radical Photochemical Reactions (5 papers), Heat shock proteins research (4 papers), Computational Drug Discovery Methods (4 papers), Parkinson's Disease Mechanisms and Treatments (4 papers), Plant Gene Expression Analysis (3 papers), Cholinesterase and Neurodegenerative Diseases (3 papers), Adenosine and Purinergic Signaling (3 papers) and Cancer-related Molecular Pathways (3 papers). The work is most often cited by research in Aging (28 citations), Physiology (61 citations), Cell Biology (201 citations), Molecular Biology (743 citations) and Organic Chemistry (281 citations). D.S. Williamson has collaborated with scholars based in United Kingdom, Denmark and Spain. Frequent co-authors include P. Dokurno, James B. Murray, Geraint L. Francis, T. Shaw, Yikang Wang, Christopher J Graham, Mike Wood, Rachel Parsons, Alba T. Macias and Andrew J. Massey. Their work appears in journals such as Bioorganic & Medicinal Chemistry Letters, Journal of Medicinal Chemistry, European Neuropsychopharmacology, Molecular Cancer Therapeutics and Progress in medicinal 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.