Dan Cox
Impact in
- Neurology top 10%
- Myasthenia Gravis and Thymoma
Papers in
-
- Muscle Physiology and Disorders 8
- Ubiquitin and proteasome pathways 2
- Ion channel regulation and function 2
-
- Adipose Tissue and Metabolism 4
- Co-authors
- Hanns Lochmüller (9 shared papers)Jyoti K. Jaiswal (1 shared paper)Adam Horn (1 shared paper)Andreas Roos (4 shared papers)Ana Töpf (4 shared papers)Wilian A. Silveira (1 shared paper)Jordi Molgó (1 shared paper)Rüdiger Rudolf (2 shared papers)
- Journals
- Neuromuscular Disorders (3 papers)Human Molecular Genetics (2 papers)Frontiers in Cell and Developmental Biology (2 papers)Skeletal Muscle (1 paper)Annals of the New York Academy of Sciences (1 paper)
- Partner nations
- United KingdomGermanyUnited States
In The Last Decade
Dan Cox
19 papers receiving 407 citations
Peers
Comparison fields: 5 of 67
- Neurology 110
- Aging 10
- Cell Biology 82
- Cellular and Molecular Neuroscience 63
- Molecular Biology 214
Countries citing papers authored by Dan Cox
This map shows the geographic impact of Dan Cox'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 Dan Cox with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dan Cox more than expected).
Fields of papers citing papers by Dan Cox
This network shows the impact of papers produced by Dan Cox. 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 Dan Cox. The network helps show where Dan Cox may publish in the future.
Co-authors
The 25 scholars most cited alongside Dan Cox, 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 | 2016 | 133 | |
| 2 | 2020 | 48 | |
| 3 | 2016 | 40 | |
| 4 | 2018 | 31 | |
| 5 | 2018 | 24 | |
| 6 | 2020 | 21 | |
| 7 | 2018 | 16 | |
| 8 | 2021 | 16 | |
| 9 | 2018 | 14 | |
| 10 | 2020 | 13 | |
| 11 | 2017 | 13 | |
| 12 | 2018 | 11 | |
| 13 | 2022 | 10 | |
| 14 | 2022 | 10 | |
| 15 | 2019 | 5 | |
| 16 | 2024 | 3 | |
| 17 | 2025 | 1 | |
| 18 | 2025 | 1 | |
| 19 | 2016 | 1 |
About Dan Cox
Dan Cox is a scholar working on Molecular Biology, Physiology, Neurology, Cell Biology and Genetics, having authored 19 papers that have together received 411 indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (8 papers), Myasthenia Gravis and Thymoma (5 papers), Cellular transport and secretion (4 papers), Adipose Tissue and Metabolism (4 papers), Cellular Mechanics and Interactions (3 papers), Ubiquitin and proteasome pathways (2 papers), Ion channel regulation and function (2 papers) and Virus-based gene therapy research (1 paper). The work is most often cited by research in Neurology (110 citations), Aging (10 citations), Cell Biology (82 citations), Cellular and Molecular Neuroscience (63 citations) and Molecular Biology (214 citations). Dan Cox has collaborated with scholars based in United Kingdom, Germany and United States. Frequent co-authors include Hanns Lochmüller, Jyoti K. Jaiswal, Adam Horn, Andreas Roos, Ana Töpf, Wilian A. Silveira, Jordi Molgó, Rüdiger Rudolf, Ísis do Carmo Kettelhut and Franziska Wild. Their work appears in journals such as Neuromuscular Disorders, Human Molecular Genetics, Frontiers in Cell and Developmental Biology, Skeletal Muscle and Annals of the New York Academy of Sciences.
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.