Kenneth Borrelli
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- Computational Drug Discovery Methods 7
- Structural Biology top 10%
- Molecular Biology top 10%
- Protein Structure and Dynamics 4
- RNA and protein synthesis mechanisms 3
- Chemical Synthesis and Analysis 2
- Organic Chemistry top 10%
- Click Chemistry and Applications 3
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- Machine Learning in Materials Science 3
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- Enzyme-mediated dye degradation 2
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- Microbial Natural Products and Biosynthesis 2
- Co-authors
- Vı́ctor GuallarKai ZhuRobert AbelTyler DayEdward HarderJeremy R. GreenwoodRamy FaridAndreas Vitalis
- Journals
- Journal of Chemical Theory and Computation (4 papers)Journal of Chemical Information and Modeling (3 papers)Structure (2 papers)
- Partner nations
- United StatesSpainFrance
In The Last Decade
Kenneth Borrelli
17 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 103
- Computational Theory and Mathematics 373
- Structural Biology 25
- Molecular Biology 898
- Organic Chemistry 247
- Cell Biology 83
Countries citing papers authored by Kenneth Borrelli
This map shows the geographic impact of Kenneth Borrelli'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 Kenneth Borrelli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kenneth Borrelli more than expected).
Fields of papers citing papers by Kenneth Borrelli
This network shows the impact of papers produced by Kenneth Borrelli. 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 Kenneth Borrelli. The network helps show where Kenneth Borrelli may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Kenneth Borrelli, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 33 | |
| 2 | 2022 | 23 | |
| 3 | 2021 | 42 | |
| 4 | 2021 | 28 | |
| 5 | 2021 | 104 | |
| 6 | 2020 | 46 | |
| 7 | 2018 | 43 | |
| 8 | 2015 | 20 | |
| 9 | 2014 | 114 | |
| 10 | 2014 | 328 | |
| 11 | 2014 | 24 | |
| 12 | 2012 | 87 | |
| 13 | 2011 | 56 | |
| 14 | 2009 | 55 | |
| 15 | 2008 | 45 | |
| 16 | 2005 | 170 | |
| 17 | 2005 | 32 |
About Kenneth Borrelli
Kenneth Borrelli is a scholar working on Structural Biology, Computational Theory and Mathematics, Molecular Biology, Parasitology and Cell Biology, having authored 17 papers that have together received 1.3k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (7 papers), Protein Structure and Dynamics (4 papers), Click Chemistry and Applications (3 papers), Machine Learning in Materials Science (3 papers), RNA and protein synthesis mechanisms (3 papers), Enzyme-mediated dye degradation (2 papers), Chemical Synthesis and Analysis (2 papers) and Microbial Natural Products and Biosynthesis (2 papers). The work is most often cited by research in Computational Theory and Mathematics (373 citations), Structural Biology (25 citations), Molecular Biology (898 citations), Organic Chemistry (247 citations) and Cell Biology (83 citations). Kenneth Borrelli has collaborated with scholars based in United States, Spain and France. Frequent co-authors include Vı́ctor Guallar, Kai Zhu, Robert Abel, Tyler Day, Edward Harder, Jeremy R. Greenwood, Ramy Farid, Andreas Vitalis, Gydo C. P. van Zundert and Ori Kalid. Their work appears in journals such as Journal of Chemical Theory and Computation, Journal of Chemical Information and Modeling, Structure, Proceedings of the National Academy of Sciences and Journal of Computational Chemistry.
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.