Javier Iserte
Impact in
- Molecular Biology top 10%
- Protein Structure and Dynamics
- Viral Infectious Diseases and Gene Expression in Insects
- RNA Research and Splicing
- Genomics and Phylogenetic Studies
- Insect Science top 5%
- Entomopathogenic Microorganisms in Pest Control
Papers in
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- Protein Structure and Dynamics 6
- RNA Research and Splicing 4
- Genomics and Phylogenetic Studies 4
- Viral Infectious Diseases and Gene Expression in Insects 2
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- Viral Infections and Vectors 5
- Co-authors
- Pablo Daniel Ghiringhelli (5 shared papers)Mariano Nicolás Belaich (1 shared paper)Solange Miele (1 shared paper)Cristina Marino‐Buslje (6 shared papers)Marcelo Javier Yanovsky (4 shared papers)Mario Enrique Lozano (6 shared papers)Franco L. Simonetti (3 shared papers)Estefanía Mancini (1 shared paper)
In The Last Decade
Javier Iserte
23 papers receiving 780 citations
Peers
Comparison fields: 5 of 62
- Molecular Biology 549
- Insect Science 87
- Infectious Diseases 72
- Endocrinology 9
- Plant Science 82
Countries citing papers authored by Javier Iserte
This map shows the geographic impact of Javier Iserte'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 Javier Iserte with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Javier Iserte more than expected).
Fields of papers citing papers by Javier Iserte
This network shows the impact of papers produced by Javier Iserte. 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 Javier Iserte. The network helps show where Javier Iserte may publish in the future.
Co-authors
The 25 scholars most cited alongside Javier Iserte, 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 132 | |
| 2 | 2021 | 128 | |
| 3 | 2020 | 117 | |
| 4 | 2022 | 98 | |
| 5 | 2021 | 59 | |
| 6 | 2019 | 43 | |
| 7 | 2006 | 37 | |
| 8 | 2018 | 26 | |
| 9 | 2013 | 23 | |
| 10 | 2015 | 23 | |
| 11 | 2010 | 20 | |
| 12 | 2020 | 19 | |
| 13 | 2019 | 13 | |
| 14 | 2020 | 8 | |
| 15 | 2015 | 7 | |
| 16 | 2022 | 7 | |
| 17 | 2020 | 6 | |
| 18 | 2020 | 5 | |
| 19 | 2010 | 4 | |
| 20 | 2025 | 4 |
About Javier Iserte
Javier Iserte is a scholar working on Molecular Biology, Infectious Diseases, Insect Science, Public Health, Environmental and Occupational Health and Plant Science, having authored 23 papers that have together received 786 indexed citations. Recurring topics across this work include Protein Structure and Dynamics (6 papers), Viral Infections and Vectors (5 papers), RNA Research and Splicing (4 papers), Genomics and Phylogenetic Studies (4 papers), Mosquito-borne diseases and control (2 papers), Viral Infectious Diseases and Gene Expression in Insects (2 papers), Light effects on plants (1 paper) and Plant Molecular Biology Research (1 paper). The work is most often cited by research in Molecular Biology (549 citations), Insect Science (87 citations), Infectious Diseases (72 citations), Endocrinology (9 citations) and Plant Science (82 citations). Javier Iserte has collaborated with scholars based in Argentina, Spain and Italy. Frequent co-authors include Pablo Daniel Ghiringhelli, Mariano Nicolás Belaich, Solange Miele, Cristina Marino‐Buslje, Marcelo Javier Yanovsky, Mario Enrique Lozano, Franco L. Simonetti, Estefanía Mancini, Ariel Chernomoretz and Silvio C. E. Tosatto. Their work appears in journals such as Nucleic Acids Research, Virus Genes, Virus Research, BMC Biotechnology and The Plant Journal.
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.