Raúl Isea
Impact in
- Modeling and Simulation top 10%
- COVID-19 epidemiological studies
-
- Vector-borne infectious diseases
Papers in
-
- vaccines and immunoinformatics approaches 5
- Machine Learning in Bioinformatics 4
-
- COVID-19 epidemiological studies 9
- Co-authors
- Α. Vegas (4 shared papers)Karl E. Lonngren (4 shared papers)Ananías A. Escalante (3 shared papers)Léonardo K. Basco (2 shared papers)Magda Magris (2 shared papers)Ira F. Goldman (2 shared papers)Altaf A. Lal (1 shared paper)Sukla Biswas (1 shared paper)
- Journals
- Journal of Organometallic Chemistry (3 papers)Acta Crystallographica Section B Structural Science (2 papers)Petroleum Science and Technology (1 paper)Infection Genetics and Evolution (1 paper)Gene (1 paper)
- Partner nations
- VenezuelaSpainUnited States
In The Last Decade
Raúl Isea
36 papers receiving 277 citations
Peers
Comparison fields: 5 of 78
- Modeling and Simulation 28
- Parasitology 26
- Public Health, Environmental and Occupational Health 82
- Organic Chemistry 62
- Analytical Chemistry 17
Countries citing papers authored by Raúl Isea
This map shows the geographic impact of Raúl Isea'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 Raúl Isea with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Raúl Isea more than expected).
Fields of papers citing papers by Raúl Isea
This network shows the impact of papers produced by Raúl Isea. 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 Raúl Isea. The network helps show where Raúl Isea may publish in the future.
Co-authors
The 25 scholars most cited alongside Raúl Isea, 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 47 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2002 | 58 | |
| 2 | 2009 | 32 | |
| 3 | 2002 | 23 | |
| 4 | 1996 | 22 | |
| 5 | 2002 | 16 | |
| 6 | 2001 | 16 | |
| 7 | 2001 | 12 | |
| 8 | 1998 | 10 | |
| 9 | 2009 | 9 | |
| 10 | A Mathematical Model of Cancer Under Radiotherapy | 2015 | 8 |
| 11 | 2020 | 8 | |
| 12 | 1997 | 8 | |
| 13 | 1998 | 8 | |
| 14 | 1999 | 7 | |
| 15 | 2020 | 6 | |
| 16 | 2018 | 6 | |
| 17 | 2003 | 5 | |
| 18 | 2017 | 4 | |
| 19 | 2012 | 4 | |
| 20 | 2020 | 3 |
About Raúl Isea
Raúl Isea is a scholar working on Molecular Biology, Modeling and Simulation, Public Health, Environmental and Occupational Health, Epidemiology and Infectious Diseases, having authored 47 papers that have together received 289 indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (9 papers), SARS-CoV-2 and COVID-19 Research (5 papers), vaccines and immunoinformatics approaches (5 papers), Data-Driven Disease Surveillance (4 papers), Machine Learning in Bioinformatics (4 papers), Malaria Research and Control (4 papers), Monoclonal and Polyclonal Antibodies Research (3 papers) and Computational Drug Discovery Methods (3 papers). The work is most often cited by research in Modeling and Simulation (28 citations), Parasitology (26 citations), Public Health, Environmental and Occupational Health (82 citations), Organic Chemistry (62 citations) and Analytical Chemistry (17 citations). Raúl Isea has collaborated with scholars based in Venezuela, Spain and United States. Frequent co-authors include Α. Vegas, Karl E. Lonngren, Ananías A. Escalante, Léonardo K. Basco, Magda Magris, Ira F. Goldman, Altaf A. Lal, Sukla Biswas, Simon Kariuki and Blanca Martı́n-Vaca. Their work appears in journals such as Journal of Organometallic Chemistry, Acta Crystallographica Section B Structural Science, Petroleum Science and Technology, Infection Genetics and Evolution and Gene.
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.