Kevin Talbot
Impact in
Papers in
- Co-authors
- Martin R. Turner (107 shared papers)Thomas H. Gillingwater (12 shared papers)Bradley J. Turner (6 shared papers)Olaf Ansorge (19 shared papers)Elizabeth Gray (14 shared papers)Lyndsay M. Murray (8 shared papers)Matthew C. Kiernan (7 shared papers)Alexander G. Thompson (37 shared papers)
- Journals
- Amyotrophic Lateral Sclerosis and Frontotemporal Degeneration (19 papers)Human Molecular Genetics (18 papers)Journal of Neurology Neurosurgery & Psychiatry (16 papers)Neurology (10 papers)Brain Communications (6 papers)
- Partner nations
- United KingdomUnited StatesAustralia
In The Last Decade
Kevin Talbot
242 papers receiving 13.0k citations
Kevin Talbot's Hit Papers
Peers
Comparison fields: 5 of 153
- Neurology 6.8k
- Genetics 4.4k
- Neurology 1.3k
- Cellular and Molecular Neuroscience 2.0k
- Molecular Biology 5.1k
Countries citing papers authored by Kevin Talbot
This map shows the geographic impact of Kevin Talbot'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 Kevin Talbot with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kevin Talbot more than expected).
Fields of papers citing papers by Kevin Talbot
This network shows the impact of papers produced by Kevin Talbot. 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 Kevin Talbot. The network helps show where Kevin Talbot may publish in the future.
Co-authors
The 25 scholars most cited alongside Kevin Talbot, 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 251 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 407 | |
| 2 | 2013 | 407 | |
| 3 | Neurofilament light chain Hit paper breakdown → | 2015 | 402 |
| 4 | 2008 | 360 | |
| 5 | 2016 | 348 | |
| 6 | 2007 | 323 | |
| 7 | 2016 | 290 | |
| 8 | 2010 | 238 | |
| 9 | 2011 | 216 | |
| 10 | 2013 | 213 | |
| 11 | 2009 | 198 | |
| 12 | 1995 | 196 | |
| 13 | 2020 | 191 | |
| 14 | 2016 | 188 | |
| 15 | 2018 | 173 | |
| 16 | 2016 | 167 | |
| 17 | 2010 | 160 | |
| 18 | 2014 | 150 | |
| 19 | 2013 | 149 | |
| 20 | 2013 | 141 |
About Kevin Talbot
Kevin Talbot is a scholar working on Neurology, Genetics, Molecular Biology, Cellular and Molecular Neuroscience and Neurology, having authored 251 papers that have together received 13.2k indexed citations. Recurring topics across this work include Amyotrophic Lateral Sclerosis Research (144 papers), Neurogenetic and Muscular Disorders Research (106 papers), Parkinson's Disease Mechanisms and Treatments (37 papers), RNA modifications and cancer (33 papers), RNA Research and Splicing (28 papers), Genetic Neurodegenerative Diseases (18 papers), Neurological diseases and metabolism (15 papers) and Hereditary Neurological Disorders (13 papers). The work is most often cited by research in Neurology (6.8k citations), Genetics (4.4k citations), Neurology (1.3k citations), Cellular and Molecular Neuroscience (2.0k citations) and Molecular Biology (5.1k citations). Kevin Talbot has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include Martin R. Turner, Thomas H. Gillingwater, Bradley J. Turner, Olaf Ansorge, Elizabeth Gray, Lyndsay M. Murray, Matthew C. Kiernan, Alexander G. Thompson, Dirk Bäumer and Steven Knight. Their work appears in journals such as Amyotrophic Lateral Sclerosis and Frontotemporal Degeneration, Human Molecular Genetics, Journal of Neurology Neurosurgery & Psychiatry, Neurology and Brain Communications.
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.