Anthony T. Bogetti
- Molecular Biology
- Infectious Diseases top 10%
- Computational Theory and Mathematics top 10%
- Ecology
- Materials Chemistry
- Co-authors
- Lillian T. ChongE. SeitzFiona L. KearnsF.J. Acosta-ReyesA. OurmazdSuvrajit MajiJory A. GoldsmithJ. Andrew McCammon
- Topics
- Protein Structure and Dynamics (9 papers)Gene Regulatory Network Analysis (3 papers)Microbial Metabolic Engineering and Bioproduction (3 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of the American Chemical SocietyThe Journal of Chemical Physics
- Partner nations
- United StatesSpainPoland
In The Last Decade
Anthony T. Bogetti
17 papers receiving 435 citations
Hit Papers
Peers
Comparison fields: 5 of 72
- Molecular Biology 274
- Infectious Diseases 168
- Computational Theory and Mathematics 50
- Ecology 49
- Materials Chemistry 46
Countries citing papers authored by Anthony T. Bogetti
This map shows the geographic impact of Anthony T. Bogetti'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 Anthony T. Bogetti with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anthony T. Bogetti more than expected).
Fields of papers citing papers by Anthony T. Bogetti
This network shows the impact of papers produced by Anthony T. Bogetti. 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 Anthony T. Bogetti. The network helps show where Anthony T. Bogetti may publish in the future.
Co-authorship network of co-authors of Anthony T. Bogetti
This figure shows the co-authorship network connecting the top 25 collaborators of Anthony T. Bogetti. A scholar is included among the top collaborators of Anthony T. Bogetti 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 Anthony T. Bogetti. Anthony T. Bogetti is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 1 | |
| 3 | 2 | |
| 4 | 1 | |
| 5 | 4 | |
| 6 | 1 | |
| 7 | 4 | |
| 8 | 10 | |
| 9 | 10 | |
| 10 | 20 | |
| 11 | 49 | |
| 12 | 3 | |
| 13 | 26 | |
| 14 | A glycan gate controls opening of the SARS-CoV-2 spike proteinbreakdown → | 251 |
| 15 | 13 | |
| 16 | 0 | |
| 17 | 15 | |
| 18 | 25 |
About Anthony T. Bogetti
Anthony T. Bogetti is a scholar working on Biophysics, Molecular Biology and Statistics, Probability and Uncertainty, having authored 18 papers that have together received 437 indexed citations. Recurring topics across this work include Protein Structure and Dynamics (9 papers), Gene Regulatory Network Analysis (3 papers) and Microbial Metabolic Engineering and Bioproduction (3 papers). The work is most often cited by research in Infectious Diseases (168 citations), Structural Biology (6 citations) and Molecular Biology (274 citations). Anthony T. Bogetti has collaborated with scholars based in United States, Spain and Poland. Frequent co-authors include Lillian T. Chong, E. Seitz, Fiona L. Kearns, F.J. Acosta-Reyes, A. Ourmazd, Suvrajit Maji, Jory A. Goldsmith, J. Andrew McCammon, Surl-Hee Ahn and Lorenzo Casalino. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and The Journal of Chemical Physics.
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.