Stan Letovsky

2.9k citations

11 papers · 872 indexed · h-index 7

Impact in

Molecular Biology top 10%
- Bioinformatics and Genomic Networks
- RNA modifications and cancer
- Genomics and Chromatin Dynamics
- RNA Research and Splicing
- RNA and protein synthesis mechanisms
- Genomics and Phylogenetic Studies
Cancer Research
- Cancer-related molecular mechanisms research

Papers in ⓘ

Infectious Diseases 2
- SARS-CoV-2 and COVID-19 Research 2
- SARS-CoV-2 detection and testing 2
- COVID-19 Clinical Research Studies 2
Molecular Biology 7
- RNA and protein synthesis mechanisms 3
- Bioinformatics and Genomic Networks 2
- Microbial Metabolic Engineering and Bioproduction 2
- Molecular Biology Techniques and Applications 2
- Gene expression and cancer classification 2

Co-authors: Doron Lipson (5 shared papers)Simon Kasif (2 shared papers)Ulaş Karaöz (1 shared paper)Yu Zheng (1 shared paper)Chunming Ding (1 shared paper)Charles R. Cantor (1 shared paper)T. M. Murali (1 shared paper)A. John Iafrate (1 shared paper)
Journals: PLoS ONE (2 papers)Trends in Genetics (1 paper)Science (1 paper)Frontiers in Public Health (1 paper)Journal of Computational Biology (1 paper)
Partner nations: United States Singapore Israel

In The Last Decade

Stan Letovsky

9 papers receiving 837 citations

Peers

Countries citing papers authored by Stan Letovsky

Since Specialization

Citations

This map shows the geographic impact of Stan Letovsky'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 Stan Letovsky with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stan Letovsky more than expected).

Fields of papers citing papers by Stan Letovsky

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stan Letovsky. 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 Stan Letovsky. The network helps show where Stan Letovsky may publish in the future.

Co-authors

The 25 scholars most cited alongside Stan Letovsky, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Stan Letovsky Line = papers co-authored together Stan Letovsky links everyone, so they are left out of the graph.

All Works

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11 of 11 papers shown

#	Work
1	Aberrant Overexpression of Satellite Repeats in Pancreatic and Other Epithelial Cancers Science ·David T. Ting, Doron Lipson, Suchismita Paul, Brian W. Brannigan, Sara Akhavanfard, Erik J. Coffman, Gianmarco Contino, Vikram Deshpande, A. John Iafrate, Stan Letovsky, Miguel N. Rivera, Nabeel Bardeesy, Shyamala Maheswaran, Daniel A. Haber	2011	393
2	Whole-genome annotation by using evidence integration in functional-linkage networks Proceedings of the National Academy of Sciences ·Ulaş Karaöz, T. M. Murali, Stan Letovsky, Yu Zheng, Chunming Ding, Charles R. Cantor, Simon Kasif	2004	209
3	Quantification of the yeast transcriptome by single-molecule sequencing Nature Biotechnology ·Doron Lipson, Tal Raz, Alix Kieu, Daniel Jones, Eldar Giladi, Edward C. Thayer, John F. Thompson, Stan Letovsky, Patrice M. Milos, Marie Causey	2009	141
4	Protocol Dependence of Sequencing-Based Gene Expression Measurements PLoS ONE ·Tal Raz, Philipp Kapranov, Doron Lipson, Stan Letovsky, Patrice M. Milos, John F. Thompson	2011	70
5	Biological Process Linkage Networks PLoS ONE ·Dikla Dotan-Cohen, Stan Letovsky, Avraham A. Melkman, Simon Kasif	2009	26
6	Error Tolerant Indexing and Alignment of Short Reads with Covering Template Families Journal of Computational Biology ·Eldar Giladi, John Healy, Gene Myers, Chris Hart, Philipp Kapranov, Doron Lipson, Steve Roels, Edward C. Thayer, Stan Letovsky	2010	18
7	RNA Sequencing and Quantitation Using the Helicos Genetic Analysis System Methods in molecular biology ·Tal Raz, Marie Causey, Daniel Jones, Alix Kieu, Stan Letovsky, Doron Lipson, Edward C. Thayer, John F. Thompson, Patrice M. Milos	2011	8
8	Antibody titer levels and the effect on subsequent SARS-CoV-2 infection in a large US-based cohort Heliyon ·Adam Sullivan, David Alfego, Pingsha Hu, Laura Gillim, Ajay Grover, Chris Garcia, Oren Cohen, Stan Letovsky	2023	5
9	Follow-Up SARS-CoV-2 PCR Testing Outcomes From a Large Reference Lab in the US Frontiers in Public Health ·Adam Sullivan, David Alfego, Brian Poirier, Jonathan Williams, Dorothy Adcock, Stan Letovsky	2021	1
10	The bioWidget consortium Trends in Genetics ·Stan Letovsky	1997	1
11	Panel: scientific data management for human genome applications Stan Letovsky, Rob Pecherer, Arie Shoshani	1990	0

About Stan Letovsky

Stan Letovsky is a scholar working on Infectious Diseases, Molecular Biology, Computational Theory and Mathematics, Computer Networks and Communications and Oncology, having authored 11 papers that have together received 872 indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (3 papers), SARS-CoV-2 and COVID-19 Research (2 papers), Bioinformatics and Genomic Networks (2 papers), Microbial Metabolic Engineering and Bioproduction (2 papers), Molecular Biology Techniques and Applications (2 papers), SARS-CoV-2 detection and testing (2 papers), COVID-19 Clinical Research Studies (2 papers) and Gene expression and cancer classification (2 papers). The work is most often cited by research in Molecular Biology (786 citations), Cancer Research (133 citations), Computational Theory and Mathematics (75 citations), Plant Science (168 citations) and Aging (7 citations). Stan Letovsky has collaborated with scholars based in United States, Singapore and Israel. Frequent co-authors include Doron Lipson, Simon Kasif, Ulaş Karaöz, Yu Zheng, Chunming Ding, Charles R. Cantor, T. M. Murali, A. John Iafrate, Nabeel Bardeesy and Brian W. Brannigan. Their work appears in journals such as PLoS ONE, Trends in Genetics, Science, Frontiers in Public Health and Journal of Computational Biology.

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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