James T. Metz
- Molecular Biology
- Computational Theory and Mathematics top 1%
- Organic Chemistry top 5%
- Pharmacology top 10%
- Spectroscopy top 10%
- Co-authors
- Philip J. HajdukNelson G. RondanK. N. HoukYun‐Dong WuMichael N. Paddon‐RowNiru B. SoniEric F. JohnsonLemma Kifle
- Topics
- Computational Drug Discovery Methods (6 papers)Bioinformatics and Genomic Networks (3 papers)Pharmacogenetics and Drug Metabolism (2 papers)
- Partner nations
- United StatesUnited KingdomAustralia
In The Last Decade
James T. Metz
12 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 100
- Molecular Biology 691
- Computational Theory and Mathematics 465
- Organic Chemistry 453
- Pharmacology 123
- Spectroscopy 112
Countries citing papers authored by James T. Metz
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 233 | |
| 3 | 67 | |
| 4 | 77 | |
| 5 | 121 | |
| 6 | 78 | |
| 7 | 16 | |
| 8 | 109 | |
| 9 | 45 | |
| 10 | 101 | |
| 11 | 273 | |
| 12 | 108 |
About James T. Metz
James T. Metz is a scholar working on Library and Information Sciences, Computational Theory and Mathematics and Pharmacology, having authored 12 papers that have together received 1.2k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (6 papers), Bioinformatics and Genomic Networks (3 papers) and Pharmacogenetics and Drug Metabolism (2 papers). The work is most often cited by research in Computational Theory and Mathematics (465 citations), Organic Chemistry (453 citations) and Molecular Biology (691 citations). James T. Metz has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include Philip J. Hajduk, Nelson G. Rondan, K. N. Houk, Yun‐Dong Wu, Michael N. Paddon‐Row, Niru B. Soni, Eric F. Johnson, Lemma Kifle, Philip J. Merta and Sean Ekins. Their work appears in journals such as Science, Biochemistry and Nature Chemical Biology.
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.