Camilo Velez‐Vega
- Molecular Biology
- Computational Theory and Mathematics top 5%
- Materials Chemistry
- Atomic and Molecular Physics, and Optics
- Physiology
- Co-authors
- Fernando A. EscobedoJosé S. DucaMichael K. GilsonErnesto E. BorreroCallum J. DicksonRobert A. PearlsteinDaniel J. McKayZoe Cournia
- Topics
- Protein Structure and Dynamics (8 papers)Computational Drug Discovery Methods (4 papers)Receptor Mechanisms and Signaling (3 papers)
- Journals
- The Journal of Chemical PhysicsThe Journal of Physical Chemistry BJournal of Medicinal Chemistry
- Partner nations
- United StatesSwitzerlandGreece
In The Last Decade
Camilo Velez‐Vega
19 papers receiving 414 citations
Peers
Comparison fields: 5 of 82
- Molecular Biology 334
- Computational Theory and Mathematics 108
- Materials Chemistry 70
- Atomic and Molecular Physics, and Optics 60
- Physiology 43
Countries citing papers authored by Camilo Velez‐Vega
This map shows the geographic impact of Camilo Velez‐Vega'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 Camilo Velez‐Vega with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Camilo Velez‐Vega more than expected).
Fields of papers citing papers by Camilo Velez‐Vega
This network shows the impact of papers produced by Camilo Velez‐Vega. 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 Camilo Velez‐Vega. The network helps show where Camilo Velez‐Vega may publish in the future.
Co-authorship network of co-authors of Camilo Velez‐Vega
This figure shows the co-authorship network connecting the top 25 collaborators of Camilo Velez‐Vega. A scholar is included among the top collaborators of Camilo Velez‐Vega 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 Camilo Velez‐Vega. Camilo Velez‐Vega is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 9 | |
| 3 | 6 | |
| 4 | 7 | |
| 5 | 41 | |
| 6 | 49 | |
| 7 | 29 | |
| 8 | 31 | |
| 9 | 7 | |
| 10 | 28 | |
| 11 | 25 | |
| 12 | 23 | |
| 13 | 52 | |
| 14 | 12 | |
| 15 | 8 | |
| 16 | 44 | |
| 17 | 27 | |
| 18 | 31 | |
| 19 | 5 |
About Camilo Velez‐Vega
Camilo Velez‐Vega is a scholar working on Filtration and Separation, Computational Theory and Mathematics and Molecular Biology, having authored 19 papers that have together received 435 indexed citations. Recurring topics across this work include Protein Structure and Dynamics (8 papers), Computational Drug Discovery Methods (4 papers) and Receptor Mechanisms and Signaling (3 papers). The work is most often cited by research in Computational Theory and Mathematics (108 citations), Molecular Medicine (29 citations) and Molecular Biology (334 citations). Camilo Velez‐Vega has collaborated with scholars based in United States, Switzerland and Greece. Frequent co-authors include Fernando A. Escobedo, José S. Duca, Michael K. Gilson, Ernesto E. Borrero, Callum J. Dickson, Robert A. Pearlstein, Daniel J. McKay, Zoe Cournia, John I. Manchester and Rubén Tommasi. Their work appears in journals such as The Journal of Chemical Physics, The Journal of Physical Chemistry B and Journal of Medicinal 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.