Mark G. Bures

3.0k total citations
26 papers, 2.0k citations indexed

About

Mark G. Bures is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Computational Theory and Mathematics. According to data from OpenAlex, Mark G. Bures has authored 26 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 8 papers in Cellular and Molecular Neuroscience and 8 papers in Computational Theory and Mathematics. Recurrent topics in Mark G. Bures's work include Computational Drug Discovery Methods (8 papers), Neuroscience and Neuropharmacology Research (7 papers) and Receptor Mechanisms and Signaling (5 papers). Mark G. Bures is often cited by papers focused on Computational Drug Discovery Methods (8 papers), Neuroscience and Neuropharmacology Research (7 papers) and Receptor Mechanisms and Signaling (5 papers). Mark G. Bures collaborates with scholars based in United States, United Kingdom and Australia. Mark G. Bures's co-authors include Philip J. Hajduk, Stephen W. Fesik, James A. Monn, Darryle D. Schoepp, Yvonne C. Martin, Michael P. Johnson, A. Linden, Chad J. Swanson, Isabella M. Lico and Tong Sun Kobilka and has published in prestigious journals such as Nature, Nature Reviews Drug Discovery and International Journal of Molecular Sciences.

In The Last Decade

Mark G. Bures

25 papers receiving 2.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mark G. Bures United States 17 1.2k 637 542 425 189 26 2.0k
Ute Abraham Germany 16 1.1k 0.9× 459 0.7× 1.1k 2.0× 670 1.6× 193 1.0× 21 3.4k
Isabelle Brabet France 24 1.9k 1.5× 1.6k 2.6× 390 0.7× 270 0.6× 102 0.5× 33 2.6k
Frank E. Blaney United Kingdom 19 1.0k 0.8× 720 1.1× 296 0.5× 343 0.8× 160 0.8× 41 1.9k
Agnieszka A. Kaczor Poland 24 1.1k 0.9× 644 1.0× 299 0.6× 418 1.0× 219 1.2× 131 2.0k
Peter R. Andrews Australia 22 1.3k 1.0× 446 0.7× 308 0.6× 573 1.3× 144 0.8× 71 2.2k
José Brea Spain 30 1.6k 1.3× 655 1.0× 393 0.7× 947 2.2× 366 1.9× 176 3.2k
Anat Levit Israel 18 1.8k 1.5× 820 1.3× 692 1.3× 174 0.4× 168 0.9× 26 2.9k
Ben Capuano Australia 24 1.5k 1.2× 887 1.4× 271 0.5× 468 1.1× 175 0.9× 93 2.1k
Anabella Villalobos United States 17 1.1k 0.9× 381 0.6× 627 1.2× 616 1.4× 542 2.9× 25 2.3k
Howard B. Broughton United States 27 1.2k 1.0× 461 0.7× 145 0.3× 899 2.1× 156 0.8× 92 2.4k

Countries citing papers authored by Mark G. Bures

Since Specialization
Citations

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

Fields of papers citing papers by Mark G. Bures

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mark G. Bures

This figure shows the co-authorship network connecting the top 25 collaborators of Mark G. Bures. A scholar is included among the top collaborators of Mark G. Bures 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 Mark G. Bures. Mark G. Bures 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.
Chen, Qi, Joseph D. Ho, Jing Wang, et al.. (2018). Structural Basis for (S)-3,4-Dicarboxyphenylglycine (DCPG) As a Potent and Subtype Selective Agonist of the mGlu8 Receptor. Journal of Medicinal Chemistry. 61(22). 10040–10052. 7 indexed citations
2.
Thal, David M., Bingfa Sun, Dan Feng, et al.. (2016). Crystal structures of the M1 and M4 muscarinic acetylcholine receptors. Nature. 531(7594). 335–340. 264 indexed citations
3.
Shin, Woong‐Hee, Mark G. Bures, & Daisuke Kihara. (2015). PatchSurfers: Two methods for local molecular property-based binding ligand prediction. Methods. 93. 41–50. 8 indexed citations
4.
Liu, Bin, Carrie H. Croy, Stephen A. Hitchcock, et al.. (2015). Design and synthesis of N-[6-(Substituted Aminoethylideneamino)-2-Hydroxyindan-1-yl]arylamides as selective and potent muscarinic M1 agonists. Bioorganic & Medicinal Chemistry Letters. 25(19). 4158–4163. 4 indexed citations
5.
Shin, Woong‐Hee, Xiaolei Zhu, Mark G. Bures, & Daisuke Kihara. (2015). Three-Dimensional Compound Comparison Methods and Their Application in Drug Discovery. Molecules. 20(7). 12841–12862. 46 indexed citations
6.
Hu, Bingjie, et al.. (2014). PL-PatchSurfer: A Novel Molecular Local Surface-Based Method for Exploring Protein-Ligand Interactions. International Journal of Molecular Sciences. 15(9). 15122–15145. 19 indexed citations
7.
Monn, James A., Matthew J. Valli, Steven M. Massey, et al.. (2013). Synthesis and Pharmacological Characterization of 4-Substituted-2-Aminobicyclo[3.1.0]hexane-2,6-dicarboxylates: Identification of New Potent and Selective Metabotropic Glutamate 2/3 Receptor Agonists. Journal of Medicinal Chemistry. 56(11). 4442–4455. 15 indexed citations
8.
Petros, Andrew M., Jürgen Dinges, David J. Augeri, et al.. (2005). Discovery of a Potent Inhibitor of the Antiapoptotic Protein Bcl-x L from NMR and Parallel Synthesis. Journal of Medicinal Chemistry. 49(2). 656–663. 229 indexed citations
9.
Swanson, Chad J., Mark G. Bures, Michael P. Johnson, et al.. (2005). Metabotropic glutamate receptors as novel targets for anxiety and stress disorders. Nature Reviews Drug Discovery. 4(2). 131–144. 475 indexed citations
10.
11.
Hajduk, Philip J., Renaldo Mendoza, Andrew M. Petros, et al.. (2003). Ligand binding to domain-3 of human serum albumin: a chemometric analysis. Journal of Computer-Aided Molecular Design. 17(2-4). 93–102. 34 indexed citations
12.
Hajduk, Philip J., et al.. (2000). Privileged Molecules for Protein Binding Identified from NMR-Based Screening. Journal of Medicinal Chemistry. 43(18). 3443–3447. 287 indexed citations
13.
14.
Bures, Mark G. & Yvonne C. Martin. (1998). Computational methods in molecular diversity and combinatorial chemistry. Current Opinion in Chemical Biology. 2(3). 376–380. 53 indexed citations
15.
Sheppard, George S., Daisy Pireh, George M. Carrera, et al.. (1994). 3-(2-(3-Pyridinyl)thiazolidin-4-oyl)indoles, a Novel Series of Platelet Activating Factor Antagonists. Journal of Medicinal Chemistry. 37(13). 2011–2032. 23 indexed citations
16.
Bures, Mark G., et al.. (1994). New molecular modeling tools using three-dimensional chemical substructures. Journal of Chemical Information and Computer Sciences. 34(1). 218–223. 18 indexed citations
17.
Martin, Yvonne C., et al.. (1993). A fast new approach to pharmacophore mapping and its application to dopaminergic and benzodiazepine agonists. Journal of Computer-Aided Molecular Design. 7(1). 83–102. 276 indexed citations
18.
Bures, Mark G., et al.. (1991). The discovery of novel auxin transport inhibitors by molecular modeling and three-dimensional pattern analysis. Journal of Computer-Aided Molecular Design. 5(4). 323–334. 16 indexed citations
19.
Bures, Mark G., et al.. (1990). Using three-dimensional substructure searching to identify novel, non-peptidic inhibitors of HIV-1 protease. 3(6). 673–680. 18 indexed citations
20.
Bures, Mark G. & William L. Jorgensen. (1988). Computer-assisted mechanistic evaluation of organic reactions. 15. Heterocycle synthesis. The Journal of Organic Chemistry. 53(11). 2504–2520. 20 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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