Brian Dymock

77 papers and 2.8k indexed citations i.

About

Brian Dymock is a scholar working on Molecular Biology, Oncology and Computational Theory and Mathematics. According to data from OpenAlex, Brian Dymock has authored 77 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Molecular Biology, 17 papers in Oncology and 12 papers in Computational Theory and Mathematics. Recurrent topics in Brian Dymock’s work include Computational Drug Discovery Methods (12 papers), Heat shock proteins research (11 papers) and Histone Deacetylase Inhibitors Research (10 papers). Brian Dymock is often cited by papers focused on Computational Drug Discovery Methods (12 papers), Heat shock proteins research (11 papers) and Histone Deacetylase Inhibitors Research (10 papers). Brian Dymock collaborates with scholars based in Singapore, United Kingdom and United States. Brian Dymock's co-authors include Philip K. Moore, Martin J. Drysdale, Anders Poulsen, Xavier Barril, Paul Workman, A.E. Surgenor, Feng Wei, Haishan Wang, Lisa Wright and Anthony D. William and has published in prestigious journals such as Nature Communications, Blood and The Journal of Immunology.

In The Last Decade

Co-authorship network of co-authors of Brian Dymock i

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.

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).

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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