Thomas H. Charpentier
- Molecular Biology
- Immunology
- Computational Theory and Mathematics top 10%
- Cancer Research
- Cell Biology
- Co-authors
- David J. WeberPaul T. WilderKristen M. VarneyMelissa A. LirianoAlexander D. MacKerellEric A. TothEdwin PozharskiFrance Carrier
- Topics
- S100 Proteins and Annexins (8 papers)Computational Drug Discovery Methods (4 papers)Protein Kinase Regulation and GTPase Signaling (3 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryJournal of Molecular Biology
- Partner nations
- United StatesFranceSlovakia
In The Last Decade
Thomas H. Charpentier
19 papers receiving 489 citations
Peers
Comparison fields: 5 of 70
- Molecular Biology 445
- Immunology 85
- Computational Theory and Mathematics 74
- Cancer Research 62
- Cell Biology 46
Countries citing papers authored by Thomas H. Charpentier
This map shows the geographic impact of Thomas H. Charpentier'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 H. Charpentier with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas H. Charpentier more than expected).
Fields of papers citing papers by Thomas H. Charpentier
This network shows the impact of papers produced by Thomas H. Charpentier. 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 H. Charpentier. The network helps show where Thomas H. Charpentier may publish in the future.
Co-authorship network of co-authors of Thomas H. Charpentier
This figure shows the co-authorship network connecting the top 25 collaborators of Thomas H. Charpentier. A scholar is included among the top collaborators of Thomas H. Charpentier 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 H. Charpentier. Thomas H. Charpentier is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 0 | |
| 3 | 4 | |
| 4 | 5 | |
| 5 | 9 | |
| 6 | 1 | |
| 7 | 69 | |
| 8 | 21 | |
| 9 | 15 | |
| 10 | 27 | |
| 11 | In Vitro Screening and Structural Characterization of Inhibitors of the S100b-P53 Interaction | 3 |
| 12 | 29 | |
| 13 | 44 | |
| 14 | 26 | |
| 15 | 53 | |
| 16 | 72 | |
| 17 | 4 | |
| 18 | Neem-seed oil inhibits the growth of breast cancer cells | 3 |
| 19 | 82 | |
| 20 | 30 |
About Thomas H. Charpentier
Thomas H. Charpentier is a scholar working on Virology, Biochemistry and Computational Theory and Mathematics, having authored 20 papers that have together received 500 indexed citations. Recurring topics across this work include S100 Proteins and Annexins (8 papers), Computational Drug Discovery Methods (4 papers) and Protein Kinase Regulation and GTPase Signaling (3 papers). The work is most often cited by research in Molecular Biology (445 citations), Microbiology (36 citations) and Computational Theory and Mathematics (74 citations). Thomas H. Charpentier has collaborated with scholars based in United States, France and Slovakia. Frequent co-authors include David J. Weber, Paul T. Wilder, Kristen M. Varney, Melissa A. Liriano, Alexander D. MacKerell, Eric A. Toth, Edwin Pozharski, France Carrier, T. Kendall Harden and John Sondek. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Molecular 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.