Brian Dymock

5.3k citations
80 papers · 3.1k · h-index 31

Impact in

    • 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
    • Cytokine Signaling Pathways and Interactions 9

Brian Dymock

79 papers receiving 3.0k citations

Peers

Brian Dymock
Comparison fields: 5 of 103
  • Biochemistry 308
  • Genetics 324
  • Computational Theory and Mathematics 522
  • Molecular Biology 1.8k
  • Oncology 519
Replace A. Chaikuad with:
A. Chaikuad Germany
Christopher L. Morton United States
Stefania Sarno Italy
Evripidis Gavathiotis United States
Joseph M. Salvino United States
Michael E. Pacold United States
K. Huber United Kingdom
Haitao Ji United States
Jennifer S. Carew United States
Guido J.R. Zaman Netherlands
Brian Dymock relative to A. Chaikuad Germany A. Chaikuad's profile →
Citations per field
00.5×4.8×
A. Chaikuad · 1×
Citations per year

Countries citing papers authored by Brian Dymock

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Brian Dymock Line = papers co-authored together Brian Dymock links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 80 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004223
2 2005192
3 2011160
4 2011159
5 2011109
6 2004102
7 201599
8 201794
9 201185
10 201684
11 201577
12 201377
13 200673
14 200571
15 201567
16 200666
17 201763
18 201660
19 200158
20 200356

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.

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