Richard T. Timms
Impact in
- Molecular Biology top 5%
- Ubiquitin and proteasome pathways
- CRISPR and Genetic Engineering
- Protein Degradation and Inhibitors
- RNA modifications and cancer
- Epigenetics and DNA Methylation
- Genomics and Chromatin Dynamics
- Virology top 5%
Papers in
-
- Ubiquitin and proteasome pathways 15
- CRISPR and Genetic Engineering 9
- Protein Degradation and Inhibitors 8
- Genomics and Chromatin Dynamics 7
- Epigenetics and DNA Methylation 3
- Virology 2
- Co-authors
- Paul J. LehnerIva A. TchasovnikarovaItay KorenGordon DouganStephen J. ElledgeRobin AntrobusMamie Z. LiTomasz Kula
- Journals
- Molecular Cell (6 papers)Nature Communications (5 papers)Science (3 papers)Molecular and Cellular Biology (2 papers)The Journal of Cell Biology (1 paper)
- Partner nations
- United KingdomUnited StatesIsrael
In The Last Decade
Richard T. Timms
35 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 93
- Molecular Biology 1.5k
- Virology 93
- Cell Biology 288
- Immunology 267
- Cancer Research 186
Countries citing papers authored by Richard T. Timms
This map shows the geographic impact of Richard T. Timms'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 T. Timms with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Richard T. Timms more than expected).
Fields of papers citing papers by Richard T. Timms
This network shows the impact of papers produced by Richard T. Timms. 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 T. Timms. The network helps show where Richard T. Timms may publish in the future.
Co-authors
The 25 scholars most cited alongside Richard T. Timms, 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 | 2026 | 0 | |
| 2 | 2025 | 6 | |
| 3 | 2025 | 3 | |
| 4 | 2025 | 1 | |
| 5 | 2024 | 11 | |
| 6 | 2023 | 45 | |
| 7 | 2023 | 31 | |
| 8 | 2023 | 21 | |
| 9 | 2021 | 52 | |
| 10 | 2020 | 22 | |
| 11 | 2020 | 63 | |
| 12 | 2020 | 58 | |
| 13 | 2019 | 160 | |
| 14 | 2018 | 9 | |
| 15 | 2018 | 139 | |
| 16 | 2018 | 80 | |
| 17 | 2016 | 53 | |
| 18 | 2016 | 93 | |
| 19 | 2016 | 32 | |
| 20 | 2015 | 225 |
About Richard T. Timms
Richard T. Timms is a scholar working on Molecular Biology, Virology, Immunology, Cell Biology and Oncology, having authored 36 papers that have together received 1.9k indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (15 papers), CRISPR and Genetic Engineering (9 papers), Protein Degradation and Inhibitors (8 papers), Genomics and Chromatin Dynamics (7 papers), Chromosomal and Genetic Variations (4 papers), Peptidase Inhibition and Analysis (4 papers), Endoplasmic Reticulum Stress and Disease (3 papers) and Epigenetics and DNA Methylation (3 papers). The work is most often cited by research in Molecular Biology (1.5k citations), Virology (93 citations), Cell Biology (288 citations), Immunology (267 citations) and Cancer Research (186 citations). Richard T. Timms has collaborated with scholars based in United Kingdom, United States and Israel. Frequent co-authors include Paul J. Lehner, Iva A. Tchasovnikarova, Itay Koren, Gordon Dougan, Stephen J. Elledge, Robin Antrobus, Mamie Z. Li, Tomasz Kula, Qikai Xu and James A. Nathan. Their work appears in journals such as Molecular Cell, Nature Communications, Science, Molecular and Cellular Biology and The Journal of Cell Biology.
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.