David Barford
Impact in
- Molecular Biology top 0.1%
- Protein Tyrosine Phosphatases
- Ubiquitin and proteasome pathways
- Protein Kinase Regulation and GTPase Signaling
- Melanoma and MAPK Pathways
- RNA and protein synthesis mechanisms
- Cell Biology top 0.1%
- Microtubule and mitosis dynamics
Papers in
- Cell Biology 64
- Microtubule and mitosis dynamics 54
- Co-authors
- Nicholas K. TonksAndrew FlintS. Mark RoeL.N. JohnsonJing YangAnnette SalmeenZiguo ZhangAmit Kumar Das
- Journals
- Nature (15 papers)Molecular Cell (13 papers)Journal of Biological Chemistry (11 papers)Journal of Molecular Biology (11 papers)Current Opinion in Structural Biology (8 papers)
- Partner nations
- United KingdomUnited StatesSwitzerland
In The Last Decade
David Barford
157 papers receiving 20.0k citations
Hit Papers
Peers
Comparison fields: 5 of 148
- Molecular Biology 17.1k
- Cell Biology 3.8k
- Immunology 3.4k
- Toxicology 410
- Oncology 3.1k
Countries citing papers authored by David Barford
This map shows the geographic impact of David Barford'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 David Barford with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Barford more than expected).
Fields of papers citing papers by David Barford
This network shows the impact of papers produced by David Barford. 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 David Barford. The network helps show where David Barford may publish in the future.
Co-authorship network
The 25 scholars most cited alongside David Barford, 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 | 2025 | 0 | |
| 2 | 2024 | 2 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 1 | |
| 5 | 2023 | 16 | |
| 6 | 2022 | 9 | |
| 7 | 2022 | 72 | |
| 8 | 2022 | 15 | |
| 9 | 2021 | 15 | |
| 10 | 2021 | 25 | |
| 11 | 2021 | 8 | |
| 12 | 2021 | 59 | |
| 13 | 2021 | 142 | |
| 14 | 2020 | 13 | |
| 15 | 2020 | 19 | |
| 16 | 2019 | 44 | |
| 17 | 2018 | 18 | |
| 18 | 2017 | 114 | |
| 19 | 2009 | 99 | |
| 20 | 1994 | 25 |
About David Barford
David Barford is a scholar working on Cell Biology, Structural Biology, Molecular Biology, Aging and Immunology, having authored 158 papers that have together received 20.4k indexed citations. Recurring topics across this work include Microtubule and mitosis dynamics (54 papers), Ubiquitin and proteasome pathways (38 papers), Protein Tyrosine Phosphatases (28 papers), Enzyme Structure and Function (23 papers), Photosynthetic Processes and Mechanisms (17 papers), Galectins and Cancer Biology (17 papers), Glycosylation and Glycoproteins Research (16 papers) and Protein Kinase Regulation and GTPase Signaling (15 papers). The work is most often cited by research in Molecular Biology (17.1k citations), Cell Biology (3.8k citations), Immunology (3.4k citations), Toxicology (410 citations) and Oncology (3.1k citations). David Barford has collaborated with scholars based in United Kingdom, United States and Switzerland. Frequent co-authors include Nicholas K. Tonks, Andrew Flint, S. Mark Roe, L.N. Johnson, Jing Yang, Annette Salmeen, Ziguo Zhang, Amit Kumar Das, J.S. Parker and Valerie M. Good. Their work appears in journals such as Nature, Molecular Cell, Journal of Biological Chemistry, Journal of Molecular Biology and Current Opinion in Structural 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.