David Latorra
Impact in
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- Polyomavirus and related diseases
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- Molecular Biology Techniques and Applications
- Advanced biosensing and bioanalysis techniques
- RNA and protein synthesis mechanisms
- DNA and Nucleic Acid Chemistry
- RNA Interference and Gene Delivery
Papers in
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- Molecular Biology Techniques and Applications 6
- CRISPR and Genetic Engineering 2
- RNA and protein synthesis mechanisms 2
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- Bacterial Identification and Susceptibility Testing 1
- Co-authors
- James Hurley (3 shared papers)Khalil Arar (2 shared papers)Andreas Wolter (1 shared paper)Luis A. Ugozzoli (1 shared paper)JAMES A. McGREGOR (1 shared paper)Rhea-Beth Markowitz (1 shared paper)William S. Dynan (1 shared paper)Bruce Eaton (1 shared paper)
- Journals
- Journal of Forensic Sciences (1 paper)BioTechniques (1 paper)Analytical Biochemistry (1 paper)Forensic Science International (1 paper)Journal of Virology (1 paper)
- Partner nations
- United StatesSwitzerlandLithuania
In The Last Decade
David Latorra
9 papers receiving 553 citations
Peers
Comparison fields: 5 of 69
- Oncology 136
- Molecular Biology 305
- Infectious Diseases 64
- Cancer Research 37
- Genetics 26
Countries citing papers authored by David Latorra
This map shows the geographic impact of David Latorra'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 David Latorra with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Latorra more than expected).
Fields of papers citing papers by David Latorra
This network shows the impact of papers produced by David Latorra. 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 David Latorra. The network helps show where David Latorra may publish in the future.
Co-authors
The 14 scholars most cited alongside David Latorra, 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 | 2003 | 194 | |
| 2 | 2003 | 135 | |
| 3 | 1991 | 129 | |
| 4 | 2003 | 101 | |
| 5 | 2003 | 15 | |
| 6 | 2014 | 7 | |
| 7 | 1996 | 7 | |
| 8 | 1990 | 3 | |
| 9 | 2016 | 1 |
About David Latorra
David Latorra is a scholar working on Molecular Biology, Clinical Biochemistry, Ecology, Genetics and Oncology, having authored 9 papers that have together received 592 indexed citations. Recurring topics across this work include Molecular Biology Techniques and Applications (6 papers), CRISPR and Genetic Engineering (2 papers), RNA and protein synthesis mechanisms (2 papers), Bacteriophages and microbial interactions (2 papers), Bacterial Identification and Susceptibility Testing (1 paper), Animal Genetics and Reproduction (1 paper), Forensic and Genetic Research (1 paper) and Polyomavirus and related diseases (1 paper). The work is most often cited by research in Oncology (136 citations), Molecular Biology (305 citations), Infectious Diseases (64 citations), Cancer Research (37 citations) and Genetics (26 citations). David Latorra has collaborated with scholars based in United States, Switzerland and Lithuania. Frequent co-authors include James Hurley, Khalil Arar, Andreas Wolter, Luis A. Ugozzoli, JAMES A. McGREGOR, Rhea-Beth Markowitz, William S. Dynan, Bruce Eaton, Moses S. Schanfield and Deborah A. Hopkins. Their work appears in journals such as Journal of Forensic Sciences, BioTechniques, Analytical Biochemistry, Forensic Science International 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.