Nigel Beaton
Impact in
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- Adipose Tissue and Metabolism
Papers in
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- Ubiquitin and proteasome pathways 2
- Genetics, Bioinformatics, and Biomedical Research 2
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- Computational Drug Discovery Methods 6
- Co-authors
- Gottfried Rudofsky (4 shared papers)Christian Wolfrum (4 shared papers)Wolfgang Langhans (2 shared papers)Tenagne D. Challa (2 shared papers)Myrtha Arnold (1 shared paper)Lukas Reiter (10 shared papers)Paola Picotti (5 shared papers)Ilaria Piazza (5 shared papers)
- Journals
- Cancer Research (4 papers)European Journal of Cancer (2 papers)Nature Communications (2 papers)Nature Protocols (1 paper)Blood (1 paper)
- Partner nations
- SwitzerlandGermanyUnited States
In The Last Decade
Nigel Beaton
17 papers receiving 543 citations
Peers
Comparison fields: 5 of 87
- Endocrine and Autonomic Systems 40
- Physiology 109
- Spectroscopy 77
- Endocrinology, Diabetes and Metabolism 59
- Cell Biology 54
Countries citing papers authored by Nigel Beaton
This map shows the geographic impact of Nigel Beaton'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 Nigel Beaton with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nigel Beaton more than expected).
Fields of papers citing papers by Nigel Beaton
This network shows the impact of papers produced by Nigel Beaton. 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 Nigel Beaton. The network helps show where Nigel Beaton may publish in the future.
Co-authors
The 25 scholars most cited alongside Nigel Beaton, 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 129 | |
| 2 | 2011 | 121 | |
| 3 | 2011 | 89 | |
| 4 | 2022 | 75 | |
| 5 | 2017 | 29 | |
| 6 | 2015 | 28 | |
| 7 | 2012 | 26 | |
| 8 | 2022 | 26 | |
| 9 | 2021 | 12 | |
| 10 | 2018 | 9 | |
| 11 | 2022 | 2 | |
| 12 | 2024 | 1 | |
| 13 | 2020 | 1 | |
| 14 | 2023 | 1 | |
| 15 | 2020 | 1 | |
| 16 | 2022 | 1 | |
| 17 | 2015 | 1 | |
| 18 | 2019 | 0 | |
| 19 | 2025 | 0 | |
| 20 | 2020 | 0 |
About Nigel Beaton
Nigel Beaton is a scholar working on Molecular Biology, Computational Theory and Mathematics, Spectroscopy, Cellular and Molecular Neuroscience and Oncology, having authored 21 papers that have together received 552 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (6 papers), Advanced Proteomics Techniques and Applications (5 papers), Cancer Genomics and Diagnostics (2 papers), Ubiquitin and proteasome pathways (2 papers), Mass Spectrometry Techniques and Applications (2 papers), Pancreatic and Hepatic Oncology Research (2 papers), Genetics, Bioinformatics, and Biomedical Research (2 papers) and Cerebrospinal fluid and hydrocephalus (1 paper). The work is most often cited by research in Endocrine and Autonomic Systems (40 citations), Physiology (109 citations), Spectroscopy (77 citations), Endocrinology, Diabetes and Metabolism (59 citations) and Cell Biology (54 citations). Nigel Beaton has collaborated with scholars based in Switzerland, Germany and United States. Frequent co-authors include Gottfried Rudofsky, Christian Wolfrum, Wolfgang Langhans, Tenagne D. Challa, Myrtha Arnold, Lukas Reiter, Paola Picotti, Ilaria Piazza, Natalie de Souza and Roland Bruderer. Their work appears in journals such as Cancer Research, European Journal of Cancer, Nature Communications, Nature Protocols and Blood.
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.