David Latorra

704 total citations
10 papers, 568 citations indexed

About

David Latorra is a scholar working on Molecular Biology, Genetics and Ecology. According to data from OpenAlex, David Latorra has authored 10 papers receiving a total of 568 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 3 papers in Genetics and 2 papers in Ecology. Recurrent topics in David Latorra's work include Molecular Biology Techniques and Applications (6 papers), Bacteriophages and microbial interactions (2 papers) and CRISPR and Genetic Engineering (2 papers). David Latorra is often cited by papers focused on Molecular Biology Techniques and Applications (6 papers), Bacteriophages and microbial interactions (2 papers) and CRISPR and Genetic Engineering (2 papers). David Latorra collaborates with scholars based in United States, Switzerland and Lithuania. David Latorra's co-authors include James Hurley, Khalil Arar, Andreas Wolter, Luis Ugozzoli, Bruce Eaton, William S. Dynan, Rhea-Beth Markowitz, James McGregor, Moses S. Schanfield and Curt Stern and has published in prestigious journals such as Analytical Biochemistry, Journal of Virology and Genome Research.

In The Last Decade

David Latorra

9 papers receiving 535 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
David Latorra United States	8	304	131	78	75	74	10	568
Agnes E. Hamburger United States	13	287 0.9×	156 1.2×	19 0.2×	108 1.4×	52 0.7×	19	769
Valery Bliskovsky United States	12	324 1.1×	395 3.0×	20 0.3×	40 0.5×	208 2.8×	15	827
Brian D. O’Donovan United States	8	301 1.0×	39 0.3×	30 0.4×	62 0.8×	66 0.9×	10	725
Jason Nomburg United States	9	125 0.4×	139 1.1×	47 0.6×	52 0.7×	38 0.5×	12	361
Mahdieh Farzanehpour Iran	9	222 0.7×	169 1.3×	20 0.3×	84 1.1×	26 0.4×	37	517
Justine C. Condon Australia	9	281 0.9×	27 0.2×	24 0.3×	38 0.5×	55 0.7×	16	644
Qiuying Huang China	14	369 1.2×	32 0.2×	21 0.3×	69 0.9×	51 0.7×	37	617
Maria Teresa Sáenz Robles United States	11	149 0.5×	287 2.2×	74 0.9×	38 0.5×	42 0.6×	21	447
Marietta Müller United Kingdom	11	107 0.4×	120 0.9×	32 0.4×	72 1.0×	23 0.3×	14	398
Siting Zhao China	14	297 1.0×	117 0.9×	14 0.2×	75 1.0×	15 0.2×	39	725

Countries citing papers authored by David Latorra

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of David Latorra

This figure shows the co-authorship network connecting the top 25 collaborators of David Latorra. A scholar is included among the top collaborators of David Latorra 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 David Latorra. David Latorra is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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10 of 10 papers shown

1.

Latorra, David. (2016). Microfluidic Systems' Macro Ambitions. Genetic Engineering & Biotechnology News. 36(12). 8–10.

2.

Jenison, Robert, et al.. (2014). Rapid amplification/detection of nucleic acid targets utilizing a HDA/thin film biosensor. The Analyst. 139(15). 3763–3769. 7 indexed citations

3.

Latorra, David, et al.. (2003). Enhanced allele-specific PCR discrimination in SNP genotyping using 3? locked nucleic acid (LNA) primers. Human Mutation. 22(1). 79–85. 182 indexed citations

4.

Ugozzoli, Luis, et al.. (2003). Real-time genotyping with oligonucleotide probes containing locked nucleic acids. Analytical Biochemistry. 324(1). 143–152. 121 indexed citations

5.

Latorra, David, Khalil Arar, & James Hurley. (2003). Design considerations and effects of LNA in PCR primers. Molecular and Cellular Probes. 17(5). 253–259. 94 indexed citations

6.

Latorra, David, et al.. (2003). Multiplex Allele-Specific PCR with Optimized Locked Nucleic Acid Primers. BioTechniques. 34(6). 1150–1158. 14 indexed citations

7.

Latorra, David & Moses S. Schanfield. (1996). Analysis of human specificity in AFLP systems APOB, PAH, and D1S80. Forensic Science International. 83(1). 15–25. 8 indexed citations

8.

Latorra, David, Curt Stern, & Moses S. Schanfield. (1994). Characterization of human AFLP systems apolipoprotein B, phenylalanine hydroxylase, and D1S80.. Genome Research. 3(6). 351–358. 15 indexed citations

9.

Markowitz, Rhea-Beth, et al.. (1991). BK virus and JC virus shed during pregnancy have predominantly archetypal regulatory regions. Journal of Virology. 65(8). 4515–4519. 125 indexed citations

10.

Kouri, Richard E., et al.. (1990). Restriction Fragment Length Polymorphism DNA Analysis by the FBI Laboratory Protocol Using a Simple, Convenient Hardware System. Journal of Forensic Sciences. 35(5). 1186–1190. 2 indexed citations

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.

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