Mark R. Hurle

3.6k total citations
32 papers, 2.1k citations indexed

About

Mark R. Hurle is a scholar working on Molecular Biology, Materials Chemistry and Computational Theory and Mathematics. According to data from OpenAlex, Mark R. Hurle has authored 32 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Molecular Biology, 8 papers in Materials Chemistry and 6 papers in Computational Theory and Mathematics. Recurrent topics in Mark R. Hurle's work include Protein Structure and Dynamics (9 papers), Enzyme Structure and Function (8 papers) and Bioinformatics and Genomic Networks (7 papers). Mark R. Hurle is often cited by papers focused on Protein Structure and Dynamics (9 papers), Enzyme Structure and Function (8 papers) and Bioinformatics and Genomic Networks (7 papers). Mark R. Hurle collaborates with scholars based in United States, United Kingdom and Canada. Mark R. Hurle's co-authors include Ronald Wetzel, Stephen Wood, Pankaj Agarwal, C. Robert Matthews, Jason Martin, Wai‐Yee Chan, L. Li, Larry R. Helms, Qing Xie and Philippe Sanséau and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and The Journal of Experimental Medicine.

In The Last Decade

Mark R. Hurle

32 papers receiving 2.1k 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 R. Hurle United States 22 1.6k 444 349 348 284 32 2.1k
Mark R. Wardell United States 24 1.7k 1.0× 552 1.2× 360 1.0× 158 0.5× 148 0.5× 36 3.3k
Yafeng Xue Sweden 30 1.6k 1.0× 196 0.4× 253 0.7× 260 0.7× 244 0.9× 51 2.5k
Thierry Fischmann United States 21 1.5k 0.9× 279 0.6× 486 1.4× 180 0.5× 191 0.7× 37 2.4k
Robert T. Gampe United States 22 2.0k 1.2× 248 0.6× 282 0.8× 157 0.5× 210 0.7× 49 2.9k
Choel Kim United States 27 2.0k 1.2× 316 0.7× 200 0.6× 148 0.4× 262 0.9× 56 2.6k
Pascale Debey France 27 2.2k 1.4× 501 1.1× 357 1.0× 155 0.4× 195 0.7× 92 3.4k
Mario A. Pagano Italy 29 1.9k 1.1× 152 0.3× 368 1.1× 218 0.6× 123 0.4× 70 2.8k
Weiru Wang United States 32 2.9k 1.8× 245 0.6× 705 2.0× 274 0.8× 389 1.4× 67 3.9k
Ricardo M. Biondi Germany 31 3.4k 2.0× 172 0.4× 329 0.9× 230 0.7× 179 0.6× 79 4.1k

Countries citing papers authored by Mark R. Hurle

Since Specialization
Citations

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

Fields of papers citing papers by Mark R. Hurle

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mark R. Hurle

This figure shows the co-authorship network connecting the top 25 collaborators of Mark R. Hurle. A scholar is included among the top collaborators of Mark R. Hurle 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 R. Hurle. Mark R. Hurle 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.
MacNamara, Aidan, Nikolina Nakić, Ali Amin Al Olama, et al.. (2020). Network and pathway expansion of genetic disease associations identifies successful drug targets. Scientific Reports. 10(1). 20970–20970. 16 indexed citations
2.
Hurle, Mark R., et al.. (2019). Predicting clinically promising therapeutic hypotheses using tensor factorization. BMC Bioinformatics. 20(1). 69–69. 7 indexed citations
3.
Magid-Slav, Michal, et al.. (2019). Pathway analysis of GWAS loci identifies novel drug targets and repurposing opportunities. Drug Discovery Today. 24(6). 1232–1236. 12 indexed citations
4.
Xie, Qing, Xin Zeng, Wensheng Xie, et al.. (2019). Preclinical evaluation of EPHX2 inhibition as a novel treatment for inflammatory bowel disease. PLoS ONE. 14(4). e0215033–e0215033. 25 indexed citations
5.
Rouillard, Andrew D., Mark R. Hurle, & Pankaj Agarwal. (2018). Systematic interrogation of diverse Omic data reveals interpretable, robust, and generalizable transcriptomic features of clinically successful therapeutic targets. PLoS Computational Biology. 14(5). e1006142–e1006142. 21 indexed citations
6.
Kumar, Vinod, Philippe Sanséau, Daniel F. Simola, Mark R. Hurle, & Pankaj Agarwal. (2016). Systematic Analysis of Drug Targets Confirms Expression in Disease-Relevant Tissues. Scientific Reports. 6(1). 36205–36205. 18 indexed citations
7.
Hurle, Mark R., Lei Yang, Qing Xie, et al.. (2013). Computational Drug Repositioning: From Data to Therapeutics. Clinical Pharmacology & Therapeutics. 93(4). 335–341. 280 indexed citations
8.
Hu, Guanghui, Komal Jain, & Mark R. Hurle. (2005). Revealing Transforming Growth Factor–β SignalingTransduction in Human Kidney by GeneExpression Data Mining. OMICS A Journal of Integrative Biology. 9(3). 266–280. 3 indexed citations
9.
Chaturvedi, Priya, Yuan Zhu, Michael R. Mattern, et al.. (1999). Mammalian Chk2 is a downstream effector of the ATM-dependent DNA damage checkpoint pathway. Oncogene. 18(28). 4047–4054. 345 indexed citations
10.
Wood, Stephen, et al.. (1996). Selective Inhibition of Aβ Fibril Formation. Journal of Biological Chemistry. 271(8). 4086–4092. 200 indexed citations
11.
Fargeas, Christine A., Alemseged Truneh, Manjula Reddy, et al.. (1995). Identification of residues in the V domain of CD80 (B7-1) implicated in functional interactions with CD28 and CTLA4.. The Journal of Experimental Medicine. 182(3). 667–675. 42 indexed citations
12.
Wood, Stephen, Ronald Wetzel, Jason Martin, & Mark R. Hurle. (1995). Prolines and Aamyloidogenicity in Fragments of the Alzheimer's Peptide .beta./A4. Biochemistry. 34(3). 724–730. 270 indexed citations
13.
Hurle, Mark R. & Mitchell Gross. (1994). Protein engineering techniques for antibody humanization. Current Opinion in Biotechnology. 5(4). 428–433. 22 indexed citations
14.
Lee, Grace, et al.. (1993). Strong inhibition of fibrinogen binding to platelet receptor αIIbβ3 by RGD sequences installed into a presentation scaffold. Protein Engineering Design and Selection. 6(7). 745–754. 29 indexed citations
15.
Hurle, Mark R., Charles D. Eads, David A. Pearlman, et al.. (1992). Comparison of solution structures of mutant bovine pancreatic trypsin inhibitor proteins using two‐dimensional nuclear magnetic resonance. Protein Science. 1(1). 91–106. 24 indexed citations
16.
Hurle, Mark R., Stephen K. Anderson, & Irwin D. Kuntz. (1991). Confirmation of the predicted source of a slow folding reaction: proline 8 of bovine pancreatic trypsin inhibitor. Protein Engineering Design and Selection. 4(4). 451–455. 10 indexed citations
17.
Tweedy, Neil B., Mark R. Hurle, Boris A. Chrunyk, & C. Robert Matthews. (1990). Multiple replacements at position 211 in the .alpha. subunit of tryptophan synthase as a probe of the folding unit association reaction. Biochemistry. 29(6). 1539–1545. 26 indexed citations
18.
Hurle, Mark R., Cara Marks, Phyllis Anne Kosen, S.M. Anderson, & Irwin D. Kuntz. (1990). Denaturant-dependent folding of bovine pancreatic trypsin inhibitor mutants with two intact disulfide bonds. Biochemistry. 29(18). 4410–4419. 33 indexed citations
19.
Hurle, Mark R., et al.. (1987). Characterization of a slow folding reaction for the α subunit of tryptophan synthase. Proteins Structure Function and Bioinformatics. 2(1). 54–63. 38 indexed citations
20.
Hurle, Mark R., C. Robert Matthews, Fred E. Cohen, et al.. (1987). Prediction of the tertiary structure of the α‐subunit of tryptophan synthase. Proteins Structure Function and Bioinformatics. 2(3). 210–224. 23 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Mark R. Wardell Breakdown of academic impact, for papers by Yafeng Xue Breakdown of academic impact, for papers by Thierry Fischmann Breakdown of academic impact, for papers by Robert T. Gampe Breakdown of academic impact, for papers by Choel Kim Breakdown of academic impact, for papers by Pascale Debey Breakdown of academic impact, for papers by Mario A. Pagano Breakdown of academic impact, for papers by Weiru Wang Breakdown of academic impact, for papers by Ricardo M. Biondi
Rankless by CCL
2026