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
- RNA and protein synthesis mechanisms 2
- CRISPR and Genetic Engineering 2
- Advanced biosensing and bioanalysis techniques 1
- Genetics 3
- Forensic and Genetic Research 1
- Genetic Associations and Epidemiology 1
- Co-authors
- James Hurley (3 shared papers)Khalil Arar (2 shared papers)Andreas Wolter (1 shared paper)Luis Ugozzoli (1 shared paper)James McGregor (1 shared paper)Rhea-Beth Markowitz (1 shared paper)William S. Dynan (1 shared paper)Bruce Eaton (1 shared paper)
- Journals
- Human Mutation (1 paper)Genome Research (1 paper)BioTechniques (1 paper)The Analyst (1 paper)Journal of Forensic Sciences (1 paper)
- Partner nations
- United StatesSwitzerlandLithuania
In The Last Decade
David Latorra
9 papers receiving 535 citations
Peers
Comparison fields: 5 of 71
- Oncology 131
- Molecular Biology 304
- Infectious Diseases 75
- Ecology 74
- Cancer Research 43
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 15 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 | 182 | |
| 2 | 1991 | 125 | |
| 3 | 2003 | 121 | |
| 4 | 2003 | 94 | |
| 5 | 1994 | 15 | |
| 6 | 2003 | 14 | |
| 7 | 1996 | 8 | |
| 8 | 2014 | 7 | |
| 9 | 1990 | 2 | |
| 10 | 2016 | 0 |
About David Latorra
David Latorra is a scholar working on Molecular Biology, Genetics, Ecology, Oncology and Epidemiology, having authored 10 papers that have together received 568 indexed citations. Recurring topics across this work include Molecular Biology Techniques and Applications (6 papers), RNA and protein synthesis mechanisms (2 papers), Bacteriophages and microbial interactions (2 papers), CRISPR and Genetic Engineering (2 papers), Advanced biosensing and bioanalysis techniques (1 paper), Forensic and Genetic Research (1 paper), Genetic Associations and Epidemiology (1 paper) and Polyomavirus and related diseases (1 paper). The work is most often cited by research in Oncology (131 citations), Molecular Biology (304 citations), Infectious Diseases (75 citations), Ecology (74 citations) and Cancer Research (43 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 Ugozzoli, James McGregor, Rhea-Beth Markowitz, William S. Dynan, Bruce Eaton, Moses S. Schanfield and Curt Stern. Their work appears in journals such as Human Mutation, Genome Research, BioTechniques, The Analyst and Journal of Forensic Sciences.
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.