Richard D. Unwin
- Spectroscopy top 1%
- Advanced Proteomics Techniques and Applications 26
- Mass Spectrometry Techniques and Applications 12
- Biological Psychiatry top 5%
- Molecular Biology top 5%
- Metabolomics and Mass Spectrometry Studies 12
- Glycosylation and Glycoproteins Research 6
- Physiology top 5%
- Alzheimer's disease research and treatments 13
- Neurology top 5%
- Neurological diseases and metabolism 5
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- Genetic Neurodegenerative Diseases 8
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- Trace Elements in Health 7
- Co-authors
- Anthony D. WhettonJohn R. GriffithsGarth J. S. CooperJingshu XuStephanie J. ChurchStefano PatassiniAndrew PiercePaul Begley
- Journals
- Nature (1 paper)Proceedings of the National Academy of Sciences (1 paper)Journal of Biological Chemistry (1 paper)
- Partner nations
- United KingdomNew ZealandUnited States
In The Last Decade
Richard D. Unwin
97 papers receiving 3.6k citations
Peers
Comparison fields: 5 of 141
- Spectroscopy 790
- Biological Psychiatry 78
- Molecular Biology 2.1k
- Physiology 640
- Neurology 203
Countries citing papers authored by Richard D. Unwin
This map shows the geographic impact of Richard D. Unwin'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 Richard D. Unwin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Richard D. Unwin more than expected).
Fields of papers citing papers by Richard D. Unwin
This network shows the impact of papers produced by Richard D. Unwin. 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 Richard D. Unwin. The network helps show where Richard D. Unwin may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Richard D. Unwin, 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 | 2023 | 2 | |
| 2 | 2023 | 3 | |
| 3 | 2021 | 19 | |
| 4 | 2021 | 4 | |
| 5 | 2020 | 14 | |
| 6 | 2020 | 77 | |
| 7 | 2019 | 37 | |
| 8 | 2019 | 21 | |
| 9 | 2018 | 18 | |
| 10 | 2017 | 89 | |
| 11 | The role of complement factor H-like and factor H-related proteins in age-related macular degeneration | 2015 | 1 |
| 12 | 2015 | 75 | |
| 13 | A HPLC-SRM-MS based method for the detection of adherence to low-dose oral methotrexate | 2015 | 1 |
| 14 | 2015 | 75 | |
| 15 | 2013 | 41 | |
| 16 | 2010 | 203 | |
| 17 | 2010 | 57 | |
| 18 | 2007 | 61 | |
| 19 | 2006 | 143 | |
| 20 | Unravelling of the molecular mechanisms of kidney stones - Report of a meeting of physicians and scientists, University College London Medical School, London | 1996 | 1 |
About Richard D. Unwin
Richard D. Unwin is a scholar working on Spectroscopy, Aging and Neurology, having authored 97 papers that have together received 3.7k indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (26 papers), Alzheimer's disease research and treatments (13 papers), Metabolomics and Mass Spectrometry Studies (12 papers), Mass Spectrometry Techniques and Applications (12 papers), Genetic Neurodegenerative Diseases (8 papers), Trace Elements in Health (7 papers), Glycosylation and Glycoproteins Research (6 papers) and Neurological diseases and metabolism (5 papers). The work is most often cited by research in Spectroscopy (790 citations), Biological Psychiatry (78 citations) and Molecular Biology (2.1k citations). Richard D. Unwin has collaborated with scholars based in United Kingdom, New Zealand and United States. Frequent co-authors include Anthony D. Whetton, John R. Griffiths, Garth J. S. Cooper, Jingshu Xu, Stephanie J. Church, Stefano Patassini, Andrew Pierce, Paul Begley, Caroline A. Evans and Richard L. M. Faull. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Biological 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.