J.L. La Torre
- Molecular Biology
- Cardiology and Cardiovascular Medicine top 5%
- Agronomy and Crop Science top 2%
- Infectious Diseases top 5%
- Ecology, Evolution, Behavior and Systematics top 5%
- Co-authors
- Dawn E. KelleyRobert P. PerryJay GreenbergEduardo A. ScodellerNora MattionPablo R. GrigeraCristina SekiIngrid E. Bergmann
- Topics
- Viral Infections and Immunology Research (20 papers)Animal Disease Management and Epidemiology (20 papers)Vector-Borne Animal Diseases (11 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Molecular BiologyJournal of Virology
- Partner nations
- ArgentinaUnited StatesUnited Kingdom
In The Last Decade
J.L. La Torre
46 papers receiving 1.2k citations
Hit Papers
Peers
Comparison fields: 5 of 84
- Molecular Biology 555
- Cardiology and Cardiovascular Medicine 498
- Agronomy and Crop Science 412
- Infectious Diseases 375
- Ecology, Evolution, Behavior and Systematics 303
Countries citing papers authored by J.L. La Torre
This map shows the geographic impact of J.L. La Torre'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 J.L. La Torre with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J.L. La Torre more than expected).
Fields of papers citing papers by J.L. La Torre
This network shows the impact of papers produced by J.L. La Torre. 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 J.L. La Torre. The network helps show where J.L. La Torre may publish in the future.
Co-authorship network of co-authors of J.L. La Torre
This figure shows the co-authorship network connecting the top 25 collaborators of J.L. La Torre. A scholar is included among the top collaborators of J.L. La Torre 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 J.L. La Torre. J.L. La Torre is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 32 | |
| 2 | 38 | |
| 3 | 40 | |
| 4 | 36 | |
| 5 | 43 | |
| 6 | 14 | |
| 7 | 38 | |
| 8 | 26 | |
| 9 | 20 | |
| 10 | 9 | |
| 11 | 32 | |
| 12 | 36 | |
| 13 | 4 | |
| 14 | 12 | |
| 15 | 40 | |
| 16 | 14 | |
| 17 | 40 | |
| 18 | 24 | |
| 19 | On the lability of poly(A) sequences during extraction of messenger RNA from polyribosomesbreakdown → | 523 |
| 20 | 1 |
About J.L. La Torre
J.L. La Torre is a scholar working on Agronomy and Crop Science, Animal Science and Zoology and Cardiology and Cardiovascular Medicine, having authored 47 papers that have together received 1.4k indexed citations. Recurring topics across this work include Viral Infections and Immunology Research (20 papers), Animal Disease Management and Epidemiology (20 papers) and Vector-Borne Animal Diseases (11 papers). The work is most often cited by research in Agronomy and Crop Science (412 citations), Cardiology and Cardiovascular Medicine (498 citations) and Animal Science and Zoology (213 citations). J.L. La Torre has collaborated with scholars based in Argentina, United States and United Kingdom. Frequent co-authors include Dawn E. Kelley, Robert P. Perry, Jay Greenberg, Eduardo A. Scodeller, Nora Mattion, Pablo R. Grigera, Cristina Seki, Ingrid E. Bergmann, Blanca Robiolo and Osvaldo Periolo. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Molecular Biology and Journal of Virology.
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.