Brian Dymock

5.3k total citations
78 papers, 2.9k citations indexed

About

Brian Dymock is a scholar working on Molecular Biology, Oncology and Genetics. According to data from OpenAlex, Brian Dymock has authored 78 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Molecular Biology, 18 papers in Oncology and 12 papers in Genetics. 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, Anders Poulsen, Martin J. Drysdale, Xavier Barril, Paul Workman, A.E. Surgenor, Haishan Wang, Feng Wei, 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

Brian Dymock

77 papers receiving 2.8k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Brian Dymock Singapore 30 1.8k 553 513 502 320 78 2.9k
A. Chaikuad Germany 37 2.9k 1.6× 760 1.4× 784 1.5× 393 0.8× 204 0.6× 123 4.4k
Joseph M. Salvino United States 34 2.3k 1.3× 1.2k 2.2× 691 1.3× 204 0.4× 361 1.1× 106 3.7k
Edgar R. Wood United States 24 1.8k 1.0× 694 1.3× 1.3k 2.6× 226 0.5× 246 0.8× 35 3.7k
Stefania Sarno Italy 41 3.7k 2.1× 551 1.0× 897 1.7× 431 0.9× 313 1.0× 79 4.9k
Jonathan M. Elkins United Kingdom 30 2.8k 1.6× 497 0.9× 672 1.3× 176 0.4× 95 0.3× 73 4.0k
K. Huber United Kingdom 26 1.9k 1.0× 518 0.9× 665 1.3× 169 0.3× 122 0.4× 60 3.0k
Haiching Ma United States 23 1.7k 1.0× 270 0.5× 406 0.8× 306 0.6× 165 0.5× 37 3.0k
Anthony Tumber United Kingdom 32 2.9k 1.6× 340 0.6× 584 1.1× 149 0.3× 82 0.3× 95 3.6k
Anne M. Hassell United States 21 1.6k 0.9× 585 1.1× 1.0k 2.0× 273 0.5× 138 0.4× 32 2.9k
Peter L. Toogood United States 27 1.6k 0.9× 752 1.4× 1.5k 2.8× 146 0.3× 302 0.9× 55 3.6k

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-authorship network of co-authors of Brian Dymock

This figure shows the co-authorship network connecting the top 25 collaborators of Brian Dymock. A scholar is included among the top collaborators of Brian Dymock based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Brian Dymock. Brian Dymock is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Pouwer, Rebecca H., Hui Yi Chew, Ian H. Frazer, et al.. (2023). Local blockade of tacrolimus promotes T-cell-mediated tumor regression in systemically immunosuppressed hosts. Journal for ImmunoTherapy of Cancer. 11(9). e006783–e006783. 2 indexed citations
2.
Poulsen, Anders, Rajamani Lakshminarayanan, R. Manjunatha Kini, et al.. (2019). Intranasal administration of a stapled relaxin‐3 mimetic has anxiolytic‐ and antidepressant‐like activity in rats. British Journal of Pharmacology. 176(20). 3899–3923. 17 indexed citations
3.
Kitagawa, Mayumi, Pei‐Ju Liao, Kyung Hee Lee, et al.. (2018). Prodrugs of the cancer cell selective anti-cancer agent (Z)-2-(1H-indol-3-yl)-3-(isoquinolin-5-yl)acrylonitrile (A131) are orally efficacious in a mouse model of resistant colon cancer. Bioorganic & Medicinal Chemistry Letters. 29(2). 216–219. 4 indexed citations
4.
Kitagawa, Mayumi, Pei‐Ju Liao, Kyung Hee Lee, et al.. (2018). Discovery of the cancer cell selective dual acting anti-cancer agent (Z)-2-(1H-indol-3-yl)-3-(isoquinolin-5-yl)acrylonitrile (A131). European Journal of Medicinal Chemistry. 156. 344–367. 13 indexed citations
5.
Mustafa, Nurulhuda, et al.. (2018). Design and synthesis of potent dual inhibitors of JAK2 and HDAC based on fusing the pharmacophores of XL019 and vorinostat. European Journal of Medicinal Chemistry. 158. 593–619. 33 indexed citations
6.
Moreira, Wilfried, et al.. (2017). Bortezomib Warhead-Switch Confers Dual Activity against Mycobacterial Caseinolytic Protease and Proteasome and Selectivity against Human Proteasome. Frontiers in Microbiology. 8. 746–746. 18 indexed citations
7.
Lee, Zheng‐Wei, Dawn Sijin Nin, Wisna Novera, et al.. (2017). Intracellular Hyper-Acidification Potentiated by Hydrogen Sulfide Mediates Invasive and Therapy Resistant Cancer Cell Death. Frontiers in Pharmacology. 8. 763–763. 29 indexed citations
8.
Lakshminarayanan, Rajamani, Francis Chee Kuan Tan, Charles W. Johannes, et al.. (2016). Hydrocarbon stapled B chain analogues of relaxin-3 retain biological activity. Peptides. 84. 44–57. 18 indexed citations
9.
Rose, Peter, Brian Dymock, & Philip K. Moore. (2015). GYY4137, a Novel Water-Soluble, H2S-Releasing Molecule. Methods in enzymology on CD-ROM/Methods in enzymology. 554. 143–167. 99 indexed citations
10.
Peh, Meng Teng, et al.. (2015). Hydrogen Sulfide Promotes Adipogenesis in 3T3L1 Cells. PLoS ONE. 10(3). e0119511–e0119511. 65 indexed citations
11.
Li, Ling, Jan Gruber, Meng Teng Peh, et al.. (2013). Hydrogen Sulfide Is an Endogenous Regulator of Aging in Caenorhabditis elegans. Antioxidants and Redox Signaling. 20(16). 2621–2630. 75 indexed citations
12.
13.
Poulsen, Anders, et al.. (2011). Structure-based design of PDK1 inhibitors. Bioorganic & Medicinal Chemistry Letters. 22(1). 305–307. 11 indexed citations
14.
Poulsen, Anders, Meredith Williams, Harish Nagaraj, et al.. (2011). Structure-based optimization of morpholino-triazines as PI3K and mTOR inhibitors. Bioorganic & Medicinal Chemistry Letters. 22(2). 1009–1013. 14 indexed citations
15.
Barril, Xavier, Mandy Beswick, Adam J. Collier, et al.. (2006). 4-Amino derivatives of the Hsp90 inhibitor CCT018159. Bioorganic & Medicinal Chemistry Letters. 16(9). 2543–2548. 67 indexed citations
16.
Hayes, Angela, Thomas P. Matthews, Bernard Nutley, et al.. (2003). Pharmacokinetic and metabolism studies of a novel synthetic series of heat shock protein 90 (Hsp90) inhibitors. Clinical Cancer Research. 9(16). 1 indexed citations
17.
Guertin, Kevin R., Lida Qi, R. Dunsdon, et al.. (2003). Identification of a novel class of orally active pyrimido[5,4-3][1,2,4]triazine-5,7-diamine-based hypoglycemic agents with protein tyrosine phosphatase inhibitory activity. Bioorganic & Medicinal Chemistry Letters. 13(17). 2895–2898. 36 indexed citations
18.
Dymock, Brian. (2001). Emerging therapies for hepatitis C virus infection. PubMed. 6(1). 13–42. 57 indexed citations
19.
20.
Procopiou, Panayiotis A., Mark J. Bamford, Brian Dymock, et al.. (1994). The Squalestatins: Novel Inhibitors of Squalene Synthase. Enzyme Inhibitory Activities and in vivo Evaluation of C1-Modified Analogs. Journal of Medicinal Chemistry. 37(20). 3274–3281. 16 indexed citations

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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