David L. Selwood
- Virology top 2%
- HIV Research and Treatment 6
- Molecular Biology top 5%
- Angiogenesis and VEGF in Cancer 12
- Chemical Synthesis and Analysis 9
- Advanced biosensing and bioanalysis techniques 8
- RNA Interference and Gene Delivery 7
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- Axon Guidance and Neuronal Signaling 9
- Neuroscience and Neuropharmacology Research 7
- Organic Chemistry top 5%
- Biochemistry top 5%
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- HIV/AIDS drug development and treatment 6
- Co-authors
- A. W. Edith ChanMatteo AldeghiShipra MalhotraIan ZacharyMichael R. DuchenGyörgy SzabadkaiGreg J. TowersBasil Hartzoulakis
- Partner nations
- United KingdomUnited StatesAustralia
In The Last Decade
David L. Selwood
100 papers receiving 3.6k citations
Peers
Comparison fields: 5 of 134
- Virology 373
- Molecular Biology 1.9k
- Cellular and Molecular Neuroscience 406
- Organic Chemistry 628
- Biochemistry 136
Countries citing papers authored by David L. Selwood
This map shows the geographic impact of David L. Selwood'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 David L. Selwood with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David L. Selwood more than expected).
Fields of papers citing papers by David L. Selwood
This network shows the impact of papers produced by David L. Selwood. 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 David L. Selwood. The network helps show where David L. Selwood may publish in the future.
Co-authorship network
The 25 scholars most cited alongside David L. Selwood, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 2 | |
| 2 | 2025 | 9 | |
| 3 | 2021 | 55 | |
| 4 | 2018 | 26 | |
| 5 | 2016 | 45 | |
| 6 | 2015 | 28 | |
| 7 | 2014 | 7 | |
| 8 | 2013 | 356 | |
| 9 | 2013 | 34 | |
| 10 | 2012 | 17 | |
| 11 | Selective targeting of neuroprotection to MS lesions: sodium channel blockers in experimental autoimmune encephalomyelitis | 2011 | 1 |
| 12 | Neuroprotection in a novel optic neuritis model | 2011 | 1 |
| 13 | 2008 | 53 | |
| 14 | 2007 | 59 | |
| 15 | 2007 | 320 | |
| 16 | 2005 | 15 | |
| 17 | Anticancer drug development: preclinical screening, clinical trials and approval (vol 91, pg 1000, 2004) | 2004 | 1 |
| 18 | 2001 | 50 | |
| 19 | 1990 | 1 | |
| 20 | 1990 | 104 |
About David L. Selwood
David L. Selwood is a scholar working on Virology, Cellular and Molecular Neuroscience and Molecular Biology, having authored 100 papers that have together received 3.7k indexed citations. Recurring topics across this work include Angiogenesis and VEGF in Cancer (12 papers), Axon Guidance and Neuronal Signaling (9 papers), Chemical Synthesis and Analysis (9 papers), Advanced biosensing and bioanalysis techniques (8 papers), RNA Interference and Gene Delivery (7 papers), Neuroscience and Neuropharmacology Research (7 papers), HIV Research and Treatment (6 papers) and HIV/AIDS drug development and treatment (6 papers). The work is most often cited by research in Virology (373 citations), Molecular Biology (1.9k citations) and Cellular and Molecular Neuroscience (406 citations). David L. Selwood has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include A. W. Edith Chan, Matteo Aldeghi, Shipra Malhotra, Ian Zachary, Michael R. Duchen, György Szabadkai, Greg J. Towers, Basil Hartzoulakis, Thomas Briston and Cristina Visintin. Their work appears in journals such as Nature, Journal of Biological Chemistry and Nature Medicine.
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.