Thomas C. Wiegers
- Molecular Biology top 2%
- Computational Theory and Mathematics top 0.2%
- Artificial Intelligence top 1%
- Health, Toxicology and Mutagenesis top 2%
- Cancer Research top 5%
- Co-authors
- Carolyn MattinglyAllan Peter DavisDaniela SciakyRobin J. JohnsonJolene WiegersCynthia GrondinBenjamin L. KingMichael C. Rosenstein
- Topics
- Bioinformatics and Genomic Networks (28 papers)Biomedical Text Mining and Ontologies (25 papers)Computational Drug Discovery Methods (17 papers)
- Journals
- Nucleic Acids ResearchSHILAP Revista de lepidopterologíaPLoS ONE
- Partner nations
- United StatesAustraliaUnited Kingdom
In The Last Decade
Thomas C. Wiegers
40 papers receiving 4.9k citations
Hit Papers
Peers
Comparison fields: 5 of 145
- Molecular Biology 3.4k
- Computational Theory and Mathematics 1.3k
- Artificial Intelligence 1.1k
- Health, Toxicology and Mutagenesis 466
- Cancer Research 418
Countries citing papers authored by Thomas C. Wiegers
This map shows the geographic impact of Thomas C. Wiegers'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 Thomas C. Wiegers with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas C. Wiegers more than expected).
Fields of papers citing papers by Thomas C. Wiegers
This network shows the impact of papers produced by Thomas C. Wiegers. 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 Thomas C. Wiegers. The network helps show where Thomas C. Wiegers may publish in the future.
Co-authorship network of co-authors of Thomas C. Wiegers
This figure shows the co-authorship network connecting the top 25 collaborators of Thomas C. Wiegers. A scholar is included among the top collaborators of Thomas C. Wiegers 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 Thomas C. Wiegers. Thomas C. Wiegers 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 | 56 | |
| 3 | 26 | |
| 4 | 50 | |
| 5 | Comparative Toxicogenomics Database (CTD): update 2021breakdown → | 722 |
| 6 | 12 | |
| 7 | 48 | |
| 8 | 22 | |
| 9 | 41 | |
| 10 | 309 | |
| 11 | 13 | |
| 12 | 74 | |
| 13 | 29 | |
| 14 | 10 | |
| 15 | 42 | |
| 16 | The Comparative Toxicogenomics Database: update 2013breakdown → | 389 |
| 17 | Waiting for a Robust Disease Ontology: A Merger of OMIM and MeSH as a Practical Interim Solution. | 2 |
| 18 | 39 | |
| 19 | 101 | |
| 20 | 68 |
About Thomas C. Wiegers
Thomas C. Wiegers is a scholar working on Computational Theory and Mathematics, Health, Toxicology and Mutagenesis and Molecular Biology, having authored 40 papers that have together received 5.0k indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (28 papers), Biomedical Text Mining and Ontologies (25 papers) and Computational Drug Discovery Methods (17 papers). The work is most often cited by research in Computational Theory and Mathematics (1.3k citations), Molecular Biology (3.4k citations) and Pharmacology (350 citations). Thomas C. Wiegers has collaborated with scholars based in United States, Australia and United Kingdom. Frequent co-authors include Carolyn Mattingly, Allan Peter Davis, Daniela Sciaky, Robin J. Johnson, Jolene Wiegers, Cynthia Grondin, Benjamin L. King, Michael C. Rosenstein, Cynthia Saraceni-Richards and Kelley Lennon-Hopkins. Their work appears in journals such as Nucleic Acids Research, SHILAP Revista de lepidopterología and PLoS ONE.
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.