E. Camacho
Impact in
- Virology top 5%
- Rabies epidemiology and control
-
- Complex Network Analysis Techniques
Papers in
-
- Retinal Development and Disorders 12
- Biochemical and Structural Characterization 3
- Genetics 15
- Venomous Animal Envenomation and Studies 15
- Co-authors
- Kuai Xu (2 shared papers)Feng Wang (2 shared papers)Stephen Wirkus (15 shared papers)Bruno Lomonte (10 shared papers)Richard H. Rand (2 shared papers)Howard C. Howland (2 shared papers)José Marı́a Gutiérrez (9 shared papers)Teresa Escalante (9 shared papers)
- Journals
- Journal of Theoretical Biology (7 papers)Toxicon (6 papers)Journal of Proteomics (4 papers)Bulletin of Mathematical Biology (4 papers)Scientific Reports (4 papers)
- Partner nations
- United StatesCosta RicaFrance
In The Last Decade
E. Camacho
41 papers receiving 571 citations
Peers
Comparison fields: 5 of 97
- Virology 97
- Statistical and Nonlinear Physics 117
- Genetics 210
- Paleontology 58
- Computer Networks and Communications 105
Countries citing papers authored by E. Camacho
This map shows the geographic impact of E. 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 E. Camacho with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites E. Camacho more than expected).
Fields of papers citing papers by E. Camacho
This network shows the impact of papers produced by E. 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 E. Camacho. The network helps show where E. Camacho may publish in the future.
Co-authors
The 25 scholars most cited alongside E. Camacho, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 74 | |
| 2 | 2009 | 63 | |
| 3 | 2004 | 53 | |
| 4 | 2013 | 40 | |
| 5 | 2014 | 36 | |
| 6 | 2014 | 23 | |
| 7 | 2013 | 19 | |
| 8 | 2010 | 19 | |
| 9 | 2019 | 19 | |
| 10 | 2016 | 16 | |
| 11 | 2018 | 15 | |
| 12 | 2013 | 15 | |
| 13 | 2020 | 14 | |
| 14 | 2019 | 14 | |
| 15 | 2016 | 14 | |
| 16 | 2008 | 13 | |
| 17 | 2020 | 13 | |
| 18 | 2020 | 12 | |
| 19 | 2010 | 11 | |
| 20 | 2013 | 11 |
About E. Camacho
E. Camacho is a scholar working on Molecular Biology, Genetics, Cellular and Molecular Neuroscience, Virology and Paleontology, having authored 45 papers that have together received 578 indexed citations. Recurring topics across this work include Venomous Animal Envenomation and Studies (15 papers), Retinal Development and Disorders (12 papers), Photoreceptor and optogenetics research (9 papers), Neuroscience and Neuropharmacology Research (7 papers), Marine Invertebrate Physiology and Ecology (5 papers), Rabies epidemiology and control (5 papers), Biochemical and Structural Characterization (3 papers) and Nonlinear Dynamics and Pattern Formation (3 papers). The work is most often cited by research in Virology (97 citations), Statistical and Nonlinear Physics (117 citations), Genetics (210 citations), Paleontology (58 citations) and Computer Networks and Communications (105 citations). E. Camacho has collaborated with scholars based in United States, Costa Rica and France. Frequent co-authors include Kuai Xu, Feng Wang, Stephen Wirkus, Bruno Lomonte, Richard H. Rand, Howard C. Howland, José Marı́a Gutiérrez, Teresa Escalante, Alexandra Rucavado and Shi Yan. Their work appears in journals such as Journal of Theoretical Biology, Toxicon, Journal of Proteomics, Bulletin of Mathematical Biology and Scientific Reports.
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.