Brian Dymock
Impact in
- Biochemistry top 1%
- Sulfur Compounds in Biology
- Genetics top 2%
- Myeloproliferative Neoplasms: Diagnosis and Treatment
Papers in
-
- Heat shock proteins research 11
- Histone Deacetylase Inhibitors Research 10
- Biochemical and Molecular Research 6
- Oncology 18
- Cytokine Signaling Pathways and Interactions 9
- Co-authors
- Anders Poulsen (20 shared papers)Philip K. Moore (9 shared papers)Xavier Barril (8 shared papers)Paul Workman (9 shared papers)A.E. Surgenor (6 shared papers)Haishan Wang (10 shared papers)Anthony D. William (13 shared papers)Lisa Wright (6 shared papers)
- Journals
- Bioorganic & Medicinal Chemistry Letters (13 papers)Journal of Medicinal Chemistry (10 papers)European Journal of Medicinal Chemistry (4 papers)Expert Opinion on Therapeutic Patents (3 papers)Future Medicinal Chemistry (3 papers)
- Partner nations
- SingaporeUnited KingdomUnited States
In The Last Decade
Brian Dymock
79 papers receiving 3.0k citations
Peers
Comparison fields: 5 of 103
- Biochemistry 308
- Genetics 324
- Computational Theory and Mathematics 522
- Molecular Biology 1.8k
- Oncology 519
Countries citing papers authored by Brian Dymock
This map shows the geographic impact of Brian Dymock'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 Brian Dymock with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Brian Dymock more than expected).
Fields of papers citing papers by Brian Dymock
This network shows the impact of papers produced by Brian Dymock. 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 Brian Dymock. The network helps show where Brian Dymock may publish in the future.
Co-authors
The 25 scholars most cited alongside Brian Dymock, 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 80 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 223 | |
| 2 | 2005 | 192 | |
| 3 | 2011 | 160 | |
| 4 | 2011 | 159 | |
| 5 | 2011 | 109 | |
| 6 | 2004 | 102 | |
| 7 | 2015 | 99 | |
| 8 | 2017 | 94 | |
| 9 | 2011 | 85 | |
| 10 | 2016 | 84 | |
| 11 | 2015 | 77 | |
| 12 | 2013 | 77 | |
| 13 | 2006 | 73 | |
| 14 | 2005 | 71 | |
| 15 | 2015 | 67 | |
| 16 | 2006 | 66 | |
| 17 | 2017 | 63 | |
| 18 | 2016 | 60 | |
| 19 | 2001 | 58 | |
| 20 | 2003 | 56 |
About Brian Dymock
Brian Dymock is a scholar working on Molecular Biology, Oncology, Genetics, Computational Theory and Mathematics and Organic Chemistry, having authored 80 papers that have together received 3.1k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (12 papers), Heat shock proteins research (11 papers), Histone Deacetylase Inhibitors Research (10 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (9 papers), Cytokine Signaling Pathways and Interactions (9 papers), Sulfur Compounds in Biology (9 papers), Chronic Lymphocytic Leukemia Research (7 papers) and Biochemical and Molecular Research (6 papers). The work is most often cited by research in Biochemistry (308 citations), Genetics (324 citations), Computational Theory and Mathematics (522 citations), Molecular Biology (1.8k citations) and Oncology (519 citations). Brian Dymock has collaborated with scholars based in Singapore, United Kingdom and United States. Frequent co-authors include Anders Poulsen, Philip K. Moore, Xavier Barril, Paul Workman, A.E. Surgenor, Haishan Wang, Anthony D. William, Lisa Wright, Feng Wei and Roderick E. Hubbard. Their work appears in journals such as Bioorganic & Medicinal Chemistry Letters, Journal of Medicinal Chemistry, European Journal of Medicinal Chemistry, Expert Opinion on Therapeutic Patents and Future Medicinal Chemistry.
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.