Ignacio Torres
- Infectious Diseases top 2%
- SARS-CoV-2 and COVID-19 Research 21
- SARS-CoV-2 detection and testing 18
- COVID-19 Clinical Research Studies 11
- Modeling and Simulation top 5%
- Molecular Medicine top 10%
- Antibiotic Resistance in Bacteria 6
- Epidemiology top 10%
- Cytomegalovirus and herpesvirus research 7
- Respiratory viral infections research 4
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- Bacterial Identification and Susceptibility Testing 12
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- Biosensors and Analytical Detection 11
- Co-authors
- David NavarroEliseo AlbertJavier ColominaSandrine PoujoisEstela GiménezDixie HuntleyArantxa ValdiviaCarlos Solano
- Journals
- Journal of Medical Virology (12 papers)Clinical Microbiology and Infection (6 papers)European Journal of Clinical Microbiology & Infectious Diseases (6 papers)
- Partner nations
- SpainUnited StatesItaly
In The Last Decade
Ignacio Torres
52 papers receiving 924 citations
Peers
Comparison fields: 5 of 90
- Infectious Diseases 646
- Modeling and Simulation 74
- Molecular Medicine 44
- Applied Microbiology and Biotechnology 17
- Epidemiology 270
Countries citing papers authored by Ignacio Torres
This map shows the geographic impact of Ignacio Torres'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 Ignacio Torres with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ignacio Torres more than expected).
Fields of papers citing papers by Ignacio Torres
This network shows the impact of papers produced by Ignacio Torres. 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 Ignacio Torres. The network helps show where Ignacio Torres may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ignacio Torres, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 2 | |
| 2 | 2023 | 3 | |
| 3 | 2023 | 3 | |
| 4 | 2023 | 2 | |
| 5 | 2023 | 2 | |
| 6 | 2023 | 8 | |
| 7 | 2022 | 2 | |
| 8 | 2022 | 21 | |
| 9 | 2022 | 14 | |
| 10 | 2022 | 13 | |
| 11 | 2022 | 9 | |
| 12 | 2022 | 15 | |
| 13 | 2021 | 17 | |
| 14 | 2021 | 21 | |
| 15 | 2021 | 5 | |
| 16 | 2021 | 6 | |
| 17 | 2020 | 5 | |
| 18 | 2020 | 208 | |
| 19 | 2018 | 6 | |
| 20 | 2017 | 39 |
About Ignacio Torres
Ignacio Torres is a scholar working on Applied Microbiology and Biotechnology, Clinical Biochemistry and Infectious Diseases, having authored 55 papers that have together received 938 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (21 papers), SARS-CoV-2 detection and testing (18 papers), Bacterial Identification and Susceptibility Testing (12 papers), COVID-19 Clinical Research Studies (11 papers), Biosensors and Analytical Detection (11 papers), Cytomegalovirus and herpesvirus research (7 papers), Antibiotic Resistance in Bacteria (6 papers) and Respiratory viral infections research (4 papers). The work is most often cited by research in Infectious Diseases (646 citations), Modeling and Simulation (74 citations) and Molecular Medicine (44 citations). Ignacio Torres has collaborated with scholars based in Spain, United States and Italy. Frequent co-authors include David Navarro, Eliseo Albert, Javier Colomina, Sandrine Poujois, Estela Giménez, Dixie Huntley, Arantxa Valdivia, Carlos Solano, Josep Ferrer and Felipe Bueno. Their work appears in journals such as Journal of Medical Virology, Clinical Microbiology and Infection, European Journal of Clinical Microbiology & Infectious Diseases, Scientific Reports and Diagnostic Microbiology and Infectious Disease.
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.