Dean G. Brown

6.9k total citations · 5 hit papers
54 papers, 4.6k citations indexed

About

Dean G. Brown is a scholar working on Molecular Biology, Organic Chemistry and Computational Theory and Mathematics. According to data from OpenAlex, Dean G. Brown has authored 54 papers receiving a total of 4.6k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 9 papers in Organic Chemistry and 9 papers in Computational Theory and Mathematics. Recurrent topics in Dean G. Brown's work include Computational Drug Discovery Methods (9 papers), Pharmacogenetics and Drug Metabolism (8 papers) and Receptor Mechanisms and Signaling (5 papers). Dean G. Brown is often cited by papers focused on Computational Drug Discovery Methods (9 papers), Pharmacogenetics and Drug Metabolism (8 papers) and Receptor Mechanisms and Signaling (5 papers). Dean G. Brown collaborates with scholars based in United States, United Kingdom and Sweden. Dean G. Brown's co-authors include Jonas Boström, Heike J. Wobst, Rubén Tommasi, Robert J. Young, György M. Keserű, Alita A. Miller, Tricia L. May‐Dracka, Patricia A. Porter, John I. Manchester and Grant K. Walkup and has published in prestigious journals such as Nature Communications, Nature Reviews Drug Discovery and Journal of Bacteriology.

In The Last Decade

Dean G. Brown

48 papers receiving 4.4k citations

Hit Papers

Analysis of Past and Present Synthetic Methodologies on M... 2015 2026 2018 2022 2015 2018 2015 2018 2021 400 800 1.2k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dean G. Brown United States 24 2.0k 1.8k 520 374 364 54 4.6k
Adam R. Renslo United States 38 1.4k 0.7× 2.5k 1.4× 354 0.7× 238 0.6× 158 0.4× 129 5.5k
Maurizio Botta Italy 54 5.7k 2.9× 5.5k 3.1× 659 1.3× 971 2.6× 226 0.6× 436 11.9k
Liangren Zhang China 39 2.4k 1.2× 2.8k 1.5× 452 0.9× 300 0.8× 42 0.1× 236 6.2k
Eric M. Gordon United States 37 3.0k 1.5× 3.9k 2.2× 574 1.1× 415 1.1× 91 0.3× 96 5.6k
Jianing Li China 32 1.1k 0.6× 2.3k 1.3× 424 0.8× 154 0.4× 53 0.1× 204 4.8k
Sylvain Rault France 38 3.7k 1.8× 1.9k 1.0× 302 0.6× 451 1.2× 84 0.2× 296 5.2k
Gabriele Costantino Italy 40 1.4k 0.7× 2.4k 1.4× 756 1.5× 377 1.0× 67 0.2× 179 5.6k
Perumal Yogeeswari India 53 7.8k 3.9× 4.2k 2.3× 744 1.4× 852 2.3× 247 0.7× 319 11.1k
Margherita Brindisi Italy 32 1.5k 0.8× 1.5k 0.8× 732 1.4× 701 1.9× 56 0.2× 109 3.7k

Countries citing papers authored by Dean G. Brown

Since Specialization
Citations

This map shows the geographic impact of Dean G. Brown'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 Dean G. Brown with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dean G. Brown more than expected).

Fields of papers citing papers by Dean G. Brown

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dean G. Brown. 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 Dean G. Brown. The network helps show where Dean G. Brown may publish in the future.

Co-authorship network of co-authors of Dean G. Brown

This figure shows the co-authorship network connecting the top 25 collaborators of Dean G. Brown. A scholar is included among the top collaborators of Dean G. Brown 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 Dean G. Brown. Dean G. Brown 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.
Brown, Dean G.. (2025). What Do Oral Drugs Really Look Like? Dose Regimen, Pharmacokinetics, and Safety of Recently Approved Small-Molecule Oral Drugs. Journal of Medicinal Chemistry. 68(22). 23751–23780. 1 indexed citations
2.
Wobst, Heike J., Giovanni Muncipinto, Andreu Viader, et al.. (2023). A SMALL MOLECULE SLC6A19 INHIBITOR INCREASES URINARY PHENYLALANINE EXCRETION AND REDUCES ITS PATHOGENIC PLASMA ACCUMULATION IN A PHENYLKETONURIA MOUSE MODEL. Molecular Genetics and Metabolism. 138(3). 107502–107502. 4 indexed citations
3.
Brown, Dean G. & Heike J. Wobst. (2023). Analysis of orphan designation status for FDA approved drugs, and case studies in oncology, neuroscience and metabolic diseases. Bioorganic & Medicinal Chemistry. 80. 117170–117170. 2 indexed citations
4.
Silva, M. Catarina, Sharon Tentarelli, Ian Gurrell, et al.. (2020). Prolonged tau clearance and stress vulnerability rescue by pharmacological activation of autophagy in tauopathy neurons. Nature Communications. 11(1). 3258–3258. 102 indexed citations
5.
Marques, Vanda, Marta B. Afonso, Dean G. Brown, et al.. (2020). Phenotypic high-throughput screening platform identifies novel chemotypes for necroptosis inhibition. Cell Death Discovery. 6(1). 6–6. 16 indexed citations
6.
Sundström, Linda, Stefan Geschwindner, Yuhong Jiang, et al.. (2020). Protease-activated receptor-2 ligands reveal orthosteric and allosteric mechanisms of receptor inhibition. Communications Biology. 3(1). 782–782. 29 indexed citations
7.
Read, Jon, Iain T. Collie, Michelle Nguyen-McCarty, et al.. (2019). Tool inhibitors and assays to interrogate the biology of the TRAF2 and NCK interacting kinase. Bioorganic & Medicinal Chemistry Letters. 29(15). 1962–1967. 7 indexed citations
8.
Boström, Jonas, Dean G. Brown, Robert J. Young, & György M. Keserű. (2018). Expanding the medicinal chemistry synthetic toolbox. Nature Reviews Drug Discovery. 17(10). 709–727. 504 indexed citations breakdown →
9.
Morgan, Paul, Dean G. Brown, Simon Lennard, et al.. (2018). Impact of a five-dimensional framework on R&D productivity at AstraZeneca. Nature Reviews Drug Discovery. 17(3). 167–181. 271 indexed citations breakdown →
10.
Brown, Dean G.. (2016). Drug discovery strategies to outer membrane targets in Gram-negative pathogens. Bioorganic & Medicinal Chemistry. 24(24). 6320–6331. 18 indexed citations
11.
Brown, Dean G., Moriah M. Gagnon, & Jonas Boström. (2015). Understanding Our Love Affair with p -Chlorophenyl: Present Day Implications from Historical Biases of Reagent Selection. Journal of Medicinal Chemistry. 58(5). 2390–2405. 57 indexed citations
13.
Tommasi, Rubén, Dean G. Brown, Grant K. Walkup, John I. Manchester, & Alita A. Miller. (2015). Erratum: ESKAPEing the labyrinth of antibacterial discovery. Nature Reviews Drug Discovery. 14(9). 662–662. 3 indexed citations
14.
Brown, Dean G., Troy Lister, & Tricia L. May‐Dracka. (2013). New natural products as new leads for antibacterial drug discovery. Bioorganic & Medicinal Chemistry Letters. 24(2). 413–418. 156 indexed citations
15.
Brugel, Todd A., Christopher Becker, Gerard M. Koether, et al.. (2010). SAR development of a series of 8-azabicyclo[3.2.1]octan-3-yloxy-benzamides as kappa opioid receptor antagonists. Part 2. Bioorganic & Medicinal Chemistry Letters. 20(18). 5405–5410. 16 indexed citations
16.
Duvoisin, Robert M., Julie M. Wilson, Julie Grabell, et al.. (2010). Acute pharmacological modulation of mGluR8 reduces measures of anxiety. Behavioural Brain Research. 212(2). 168–173. 59 indexed citations
17.
Lemyze, Malcolm & Dean G. Brown. (2010). Aspiration by proxy. Internal Medicine Journal. 40(7). 535–535.
19.
Brown, Dean G. & Johannes Krupp. (2006). N-Methyl-D-Aspartate Receptor (NMDA) Antagonists as Potential Pain Therapeutics. Current Topics in Medicinal Chemistry. 6(8). 749–770. 29 indexed citations
20.
Brown, Dean G., Rebecca A. Urbanek, Gary B. Steelman, et al.. (2003). Synthesis of 7-chloro-2,3-dihydro-2-[1-(pyridinyl)alkyl]-pyridazino[4,5-b]quinoline-1,4,10(5H)-triones as NMDA glycine-site antagonists. Bioorganic & Medicinal Chemistry Letters. 13(20). 3553–3556. 14 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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