James T. Metz

1.6k total citations
12 papers, 1.2k citations indexed

About

James T. Metz is a scholar working on Molecular Biology, Computational Theory and Mathematics and Materials Chemistry. According to data from OpenAlex, James T. Metz has authored 12 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 6 papers in Computational Theory and Mathematics and 3 papers in Materials Chemistry. Recurrent topics in James T. Metz's work include Computational Drug Discovery Methods (6 papers), Bioinformatics and Genomic Networks (3 papers) and Pharmacogenetics and Drug Metabolism (2 papers). James T. Metz is often cited by papers focused on Computational Drug Discovery Methods (6 papers), Bioinformatics and Genomic Networks (3 papers) and Pharmacogenetics and Drug Metabolism (2 papers). James T. Metz collaborates with scholars based in United States, United Kingdom and Australia. James T. Metz's co-authors include Philip J. Hajduk, K. N. Houk, Nelson G. Rondan, Yun‐Dong Wu, Michael N. Paddon‐Row, Philip J. Merta, Lemma Kifle, Niru B. Soni, Eric F. Johnson and Sean Ekins and has published in prestigious journals such as Science, Biochemistry and Nature Chemical Biology.

In The Last Decade

James T. Metz

12 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
James T. Metz United States 11 691 465 453 123 112 12 1.2k
Thompson N. Doman United States 12 831 1.2× 501 1.1× 345 0.8× 117 1.0× 108 1.0× 24 1.5k
Iain M. McLay United Kingdom 22 695 1.0× 658 1.4× 402 0.9× 233 1.9× 195 1.7× 32 1.5k
Karin Kolmodin Sweden 15 684 1.0× 303 0.7× 235 0.5× 135 1.1× 80 0.7× 20 1.1k
Arthur M. Doweyko United States 23 674 1.0× 533 1.1× 783 1.7× 130 1.1× 106 0.9× 47 1.6k
Daniel L. Cheney United States 23 739 1.1× 494 1.1× 560 1.2× 114 0.9× 141 1.3× 61 1.6k
Gergely M. Makara United States 16 599 0.9× 353 0.8× 365 0.8× 83 0.7× 99 0.9× 34 1.1k
Konrad Bleicher Switzerland 18 903 1.3× 405 0.9× 388 0.9× 123 1.0× 263 2.3× 38 1.5k
Peter S. Kutchukian United States 19 1.0k 1.5× 377 0.8× 496 1.1× 111 0.9× 69 0.6× 28 1.6k
Martin P. Edwards United States 15 518 0.7× 286 0.6× 492 1.1× 149 1.2× 80 0.7× 30 1.2k
Douglas C. Rohrer United States 17 479 0.7× 354 0.8× 246 0.5× 72 0.6× 144 1.3× 41 901

Countries citing papers authored by James T. Metz

Since Specialization
Citations

This map shows the geographic impact of James T. Metz'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 James T. Metz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites James T. Metz more than expected).

Fields of papers citing papers by James T. Metz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by James T. Metz. 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 James T. Metz. The network helps show where James T. Metz may publish in the future.

Co-authorship network of co-authors of James T. Metz

This figure shows the co-authorship network connecting the top 25 collaborators of James T. Metz. A scholar is included among the top collaborators of James T. Metz 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 James T. Metz. James T. Metz is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

12 of 12 papers shown
1.
Debe, Derek A., et al.. (2013). ALOHA: a novel probability fusion approach for scoring multi-parameter drug-likeness during the lead optimization stage of drug discovery. Journal of Computer-Aided Molecular Design. 27(9). 771–782. 7 indexed citations
2.
Metz, James T., Eric F. Johnson, Niru B. Soni, et al.. (2011). Navigating the kinome. Nature Chemical Biology. 7(4). 200–202. 233 indexed citations
3.
Ekins, Sean, et al.. (2010). Evolving molecules using multi-objective optimization: applying to ADME/Tox. Drug Discovery Today. 15(11-12). 451–460. 67 indexed citations
4.
Metz, James T. & Philip J. Hajduk. (2010). Rational approaches to targeted polypharmacology: creating and navigating protein–ligand interaction networks. Current Opinion in Chemical Biology. 14(4). 498–504. 77 indexed citations
5.
Muchmore, Steven W., Derek A. Debe, James T. Metz, et al.. (2008). Application of Belief Theory to Similarity Data Fusion for Use in Analog Searching and Lead Hopping. Journal of Chemical Information and Modeling. 48(5). 941–948. 121 indexed citations
6.
Akritopoulou‐Zanze, Irini, James T. Metz, & Stevan W. Djurić. (2007). Topography-biased compound library design: the shape of things to come?. Drug Discovery Today. 12(21-22). 948–952. 16 indexed citations
7.
Metz, James T., Jeffrey R. Huth, & Philip J. Hajduk. (2007). Enhancement of chemical rules for predicting compound reactivity towards protein thiol groups. Journal of Computer-Aided Molecular Design. 21(1-3). 139–144. 78 indexed citations
8.
Ekins, Sean, Andrej Bugrim, Eugene Kirillov, et al.. (2006). Algorithms for network analysis in systems-ADME/Tox using the MetaCore and MetaDrug platforms. Xenobiotica. 36(10-11). 877–901. 109 indexed citations
9.
Shih, Chuan, Lynn S. Gossett, Joseph M. Gruber, et al.. (1999). Synthesis and biological evaluation of novel cryptophycin analogs with modification in the β-alanine region. Bioorganic & Medicinal Chemistry Letters. 9(1). 69–74. 45 indexed citations
11.
Houk, K. N., Michael N. Paddon‐Row, Nelson G. Rondan, et al.. (1986). Theory and Modeling of Stereoselective Organic Reactions. Science. 231(4742). 1108–1117. 273 indexed citations
12.
Houk, K. N., Nelson G. Rondan, Yun‐Dong Wu, James T. Metz, & Michael N. Paddon‐Row. (1984). Theoretical studies of stereoselective hydroborations. Tetrahedron. 40(12). 2257–2274. 108 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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