Ian Beddows
Impact in
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- Tryptophan and brain disorders
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- Parkinson's Disease Mechanisms and Treatments
Papers in
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- Ubiquitin and proteasome pathways 2
- Protein Degradation and Inhibitors 2
- Cancer-related gene regulation 2
- Epigenetics and DNA Methylation 2
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- Sarcoma Diagnosis and Treatment 5
- Co-authors
- Laura Rose (2 shared papers)Susan M. Kitchen-Goosen (6 shared papers)Patrick J. Grohar (6 shared papers)Noah Lubben (1 shared paper)Irving E. Vega (1 shared paper)Ali Yılmaz (1 shared paper)Bryan A. Killinger (1 shared paper)Patrik Brundin (1 shared paper)
- Journals
- Molecular Cancer Therapeutics (2 papers)Cancer Research (2 papers)Nature Communications (2 papers)Clinical Cancer Research (1 paper)Perspectives in Plant Ecology Evolution and Systematics (1 paper)
- Partner nations
- United StatesGermanyCanada
In The Last Decade
Ian Beddows
18 papers receiving 341 citations
Peers
Comparison fields: 5 of 71
- Biological Psychiatry 20
- Neurology 46
- Cancer Research 40
- Molecular Biology 177
- Oncology 50
Countries citing papers authored by Ian Beddows
This map shows the geographic impact of Ian Beddows'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 Ian Beddows with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ian Beddows more than expected).
Fields of papers citing papers by Ian Beddows
This network shows the impact of papers produced by Ian Beddows. 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 Ian Beddows. The network helps show where Ian Beddows may publish in the future.
Co-authors
The 25 scholars most cited alongside Ian Beddows, 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 105 | |
| 2 | 2021 | 35 | |
| 3 | 2020 | 31 | |
| 4 | 2017 | 21 | |
| 5 | 2020 | 20 | |
| 6 | 2020 | 19 | |
| 7 | 2020 | 18 | |
| 8 | 2022 | 15 | |
| 9 | 2018 | 15 | |
| 10 | 2023 | 14 | |
| 11 | 2022 | 13 | |
| 12 | 2020 | 12 | |
| 13 | 2024 | 12 | |
| 14 | 2024 | 9 | |
| 15 | 2023 | 4 | |
| 16 | 2024 | 3 | |
| 17 | 2020 | 2 | |
| 18 | 2021 | 2 | |
| 19 | 2025 | 0 | |
| 20 | 2026 | 0 |
About Ian Beddows
Ian Beddows is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Neurology, Physiology and Genetics, having authored 22 papers that have together received 350 indexed citations. Recurring topics across this work include Sarcoma Diagnosis and Treatment (5 papers), Ubiquitin and proteasome pathways (2 papers), Neurofibromatosis and Schwannoma Cases (2 papers), Protein Degradation and Inhibitors (2 papers), Cancer-related gene regulation (2 papers), Histiocytic Disorders and Treatments (2 papers), Epigenetics and DNA Methylation (2 papers) and Genetic diversity and population structure (2 papers). The work is most often cited by research in Biological Psychiatry (20 citations), Neurology (46 citations), Cancer Research (40 citations), Molecular Biology (177 citations) and Oncology (50 citations). Ian Beddows has collaborated with scholars based in United States, Germany and Canada. Frequent co-authors include Laura Rose, Susan M. Kitchen-Goosen, Patrick J. Grohar, Noah Lubben, Irving E. Vega, Ali Yılmaz, Bryan A. Killinger, Patrik Brundin, J. Andrew Pospisilik and Peipei Li. Their work appears in journals such as Molecular Cancer Therapeutics, Cancer Research, Nature Communications, Clinical Cancer Research and Perspectives in Plant Ecology Evolution and Systematics.
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.