Carlos J. Camacho
- Molecular Biology top 1%
- Computational Theory and Mathematics top 0.2%
- Materials Chemistry top 5%
- Oncology top 5%
- Organic Chemistry top 5%
- Co-authors
- Sándor VajdaDavid Ryan KoesDavid GatchellStephen R. ComeauD. ThirumalaiMatthew P. BaumgartnerCharles DeLisiS. Roy Kimura
- Topics
- Protein Structure and Dynamics (43 papers)Enzyme Structure and Function (30 papers)Computational Drug Discovery Methods (28 papers)
- Journals
- Proceedings of the National Academy of SciencesPhysical Review LettersNucleic Acids Research
- Partner nations
- United StatesGermanyNetherlands
In The Last Decade
Carlos J. Camacho
116 papers receiving 6.7k citations
Hit Papers
Peers
Comparison fields: 5 of 161
- Molecular Biology 4.9k
- Computational Theory and Mathematics 1.7k
- Materials Chemistry 1.5k
- Oncology 585
- Organic Chemistry 561
Countries citing papers authored by Carlos J. Camacho
This map shows the geographic impact of Carlos J. Camacho'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 Carlos J. Camacho with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Carlos J. Camacho more than expected).
Fields of papers citing papers by Carlos J. Camacho
This network shows the impact of papers produced by Carlos J. Camacho. 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 Carlos J. Camacho. The network helps show where Carlos J. Camacho may publish in the future.
Co-authorship network of co-authors of Carlos J. Camacho
This figure shows the co-authorship network connecting the top 25 collaborators of Carlos J. Camacho. A scholar is included among the top collaborators of Carlos J. Camacho 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 Carlos J. Camacho. Carlos J. Camacho is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 9 | |
| 2 | 0 | |
| 3 | 5 | |
| 4 | 1 | |
| 5 | 10 | |
| 6 | 20 | |
| 7 | 27 | |
| 8 | 25 | |
| 9 | 81 | |
| 10 | 2 | |
| 11 | 10 | |
| 12 | 24 | |
| 13 | 53 | |
| 14 | 79 | |
| 15 | 86 | |
| 16 | 57 | |
| 17 | 98 | |
| 18 | 111 | |
| 19 | 262 | |
| 20 | 20 |
About Carlos J. Camacho
Carlos J. Camacho is a scholar working on Computational Theory and Mathematics, Molecular Biology and Aging, having authored 119 papers that have together received 6.8k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (43 papers), Enzyme Structure and Function (30 papers) and Computational Drug Discovery Methods (28 papers). The work is most often cited by research in Computational Theory and Mathematics (1.7k citations), Molecular Biology (4.9k citations) and Materials Chemistry (1.5k citations). Carlos J. Camacho has collaborated with scholars based in United States, Germany and Netherlands. Frequent co-authors include Sándor Vajda, David Ryan Koes, David Gatchell, Stephen R. Comeau, D. Thirumalai, Matthew P. Baumgartner, Charles DeLisi, S. Roy Kimura, Alexander Dömlingꝉ and C. Zhang. Their work appears in journals such as Proceedings of the National Academy of Sciences, Physical Review Letters and Nucleic Acids Research.
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.