Alexis A. Borisy
- Molecular Biology top 5%
- Computational Theory and Mathematics top 0.5%
- Oncology top 10%
- Pharmacology top 5%
- Organic Chemistry top 10%
- Co-authors
- Curtis T. KeithBrent R. StockwellGrant R. ZimmermannJoseph LehárMargaret LeeEdward PriceAndrew KruegerWilliam Avery
- Topics
- Computational Drug Discovery Methods (5 papers)Receptor Mechanisms and Signaling (4 papers)Gene Regulatory Network Analysis (3 papers)
- Partner nations
- United StatesNorwayPakistan
In The Last Decade
Alexis A. Borisy
13 papers receiving 2.3k citations
Hit Papers
Peers
Comparison fields: 5 of 127
- Molecular Biology 1.4k
- Computational Theory and Mathematics 631
- Oncology 286
- Pharmacology 261
- Organic Chemistry 258
Countries citing papers authored by Alexis A. Borisy
This map shows the geographic impact of Alexis A. Borisy'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 Alexis A. Borisy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alexis A. Borisy more than expected).
Fields of papers citing papers by Alexis A. Borisy
This network shows the impact of papers produced by Alexis A. Borisy. 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 Alexis A. Borisy. The network helps show where Alexis A. Borisy may publish in the future.
Co-authorship network of co-authors of Alexis A. Borisy
This figure shows the co-authorship network connecting the top 25 collaborators of Alexis A. Borisy. A scholar is included among the top collaborators of Alexis A. Borisy 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 Alexis A. Borisy. Alexis A. Borisy is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 13 | |
| 2 | 29 | |
| 3 | 30 | |
| 4 | Synergistic drug combinations tend to improve therapeutically relevant selectivitybreakdown → | 742 |
| 5 | 39 | |
| 6 | Therapeutic selectivity and the multi-node drug target. | 15 |
| 7 | 1 | |
| 8 | 80 | |
| 9 | 51 | |
| 10 | 210 | |
| 11 | 90 | |
| 12 | Multicomponent therapeutics for networked systemsbreakdown → | 603 |
| 13 | 473 |
About Alexis A. Borisy
Alexis A. Borisy is a scholar working on Computational Theory and Mathematics, Physiology and Molecular Biology, having authored 13 papers that have together received 2.4k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (5 papers), Receptor Mechanisms and Signaling (4 papers) and Gene Regulatory Network Analysis (3 papers). The work is most often cited by research in Computational Theory and Mathematics (631 citations), Molecular Biology (1.4k citations) and Pharmacology (173 citations). Alexis A. Borisy has collaborated with scholars based in United States, Norway and Pakistan. Frequent co-authors include Curtis T. Keith, Brent R. Stockwell, Grant R. Zimmermann, Joseph Lehár, Margaret Lee, Edward Price, Andrew Krueger, William Avery, Glenn F. Short and Adrian Heilbut. Their work appears in journals such as Proceedings of the National Academy of Sciences, Blood and Nature Biotechnology.
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.