John F. Timms
Impact in
- Molecular Biology top 1%
- PI3K/AKT/mTOR signaling in cancer
- Protein Kinase Regulation and GTPase Signaling
- Metabolomics and Mass Spectrometry Studies
- Protein Tyrosine Phosphatases
- Glycosylation and Glycoproteins Research
- Cancer Research top 2%
Papers in
- Spectroscopy 32
- Advanced Proteomics Techniques and Applications 29
- Mass Spectrometry Techniques and Applications 18
-
- Ovarian cancer diagnosis and treatment 8
- Co-authors
- Michael D. WaterfieldKhatereh AhmadiRoy KatsoRainer CramerS. L. WhiteKlaus OkkenhaugSally J. LeeversPeter J. Parker
- Journals
- PROTEOMICS (8 papers)British Journal of Cancer (6 papers)Cancer Research (4 papers)Journal of Proteomics (4 papers)PROTEOMICS - CLINICAL APPLICATIONS (4 papers)
- Partner nations
- United KingdomUnited StatesAustralia
In The Last Decade
John F. Timms
103 papers receiving 6.6k citations
Hit Papers
Peers
Comparison fields: 5 of 147
- Molecular Biology 4.2k
- Cancer Research 787
- Immunology 1.1k
- Cell Biology 816
- Spectroscopy 724
Countries citing papers authored by John F. Timms
This map shows the geographic impact of John F. 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 John F. Timms with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John F. Timms more than expected).
Fields of papers citing papers by John F. Timms
This network shows the impact of papers produced by John F. 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 John F. Timms. The network helps show where John F. Timms may publish in the future.
Co-authors
The 25 scholars most cited alongside John F. 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 | 2022 | 23 | |
| 2 | 2021 | 36 | |
| 3 | 2020 | 25 | |
| 4 | 2020 | 22 | |
| 5 | 2020 | 69 | |
| 6 | 2019 | 39 | |
| 7 | 2018 | 39 | |
| 8 | 2017 | 23 | |
| 9 | 2015 | 39 | |
| 10 | 2014 | 147 | |
| 11 | 2014 | 34 | |
| 12 | 2011 | 118 | |
| 13 | 2011 | 42 | |
| 14 | 2010 | 5 | |
| 15 | 2010 | 6 | |
| 16 | Book Review: Cancer Proteomics from Bench to Bedside (edited by Sayed S. Daoud, Humana Press, ISBN 978-1-58829-858-4) | 2008 | 1 |
| 17 | 2007 | 85 | |
| 18 | Endothelial ultrastructure in human endometrium following exposure to levonorgestrel intrauterine system | 2002 | 1 |
| 19 | 2002 | 56 | |
| 20 | 1989 | 13 |
About John F. Timms
John F. Timms is a scholar working on Spectroscopy, Reproductive Medicine, Molecular Biology, Oncology and Cancer Research, having authored 103 papers that have together received 6.7k indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (29 papers), Mass Spectrometry Techniques and Applications (18 papers), Metabolomics and Mass Spectrometry Studies (10 papers), Pancreatic and Hepatic Oncology Research (9 papers), Glycosylation and Glycoproteins Research (9 papers), Ovarian cancer diagnosis and treatment (8 papers), Cellular Mechanics and Interactions (7 papers) and Peptidase Inhibition and Analysis (7 papers). The work is most often cited by research in Molecular Biology (4.2k citations), Cancer Research (787 citations), Immunology (1.1k citations), Cell Biology (816 citations) and Spectroscopy (724 citations). John F. Timms has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include Michael D. Waterfield, Khatereh Ahmadi, Roy Katso, Rainer Cramer, S. L. White, Klaus Okkenhaug, Sally J. Leevers, Peter J. Parker, Bart Vanhaesebroeck and Paul C. Driscoll. Their work appears in journals such as PROTEOMICS, British Journal of Cancer, Cancer Research, Journal of Proteomics and PROTEOMICS - CLINICAL APPLICATIONS.
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.