Stan Letovsky
Impact in
- Software top 5%
- 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
Papers in
-
- RNA and protein synthesis mechanisms 3
- Gene expression and cancer classification 2
- Bioinformatics and Genomic Networks 2
- Molecular Biology Techniques and Applications 2
- Co-authors
- Doron Lipson (5 shared papers)Simon Kasif (2 shared papers)T. M. Murali (1 shared paper)Charles R. Cantor (1 shared paper)Chunming Ding (1 shared paper)Ulaş Karaöz (1 shared paper)Yu Zheng (1 shared paper)Jeannine Pinto (2 shared papers)
- Journals
- PLoS ONE (2 papers)Nature Biotechnology (1 paper)Frontiers in Public Health (1 paper)Trends in Genetics (1 paper)Communications of the ACM (1 paper)
- Partner nations
- United StatesSingaporeIsrael
In The Last Decade
Stan Letovsky
13 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 101
- Software 71
- Molecular Biology 786
- Cancer Research 121
- Information Systems 160
- Computer Science Applications 34
Countries citing papers authored by Stan Letovsky
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
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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 409 | |
| 2 | 2004 | 251 | |
| 3 | 1988 | 160 | |
| 4 | 2009 | 148 | |
| 5 | 2011 | 73 | |
| 6 | 2009 | 28 | |
| 7 | 2010 | 18 | |
| 8 | Strategies for documenting delocalized plans | 1986 | 11 |
| 9 | 2011 | 9 | |
| 10 | 2023 | 5 | |
| 11 | Studying software documentation from a cognitive perspective: A status report | 1986 | 4 |
| 12 | 1992 | 2 | |
| 13 | 2021 | 1 | |
| 14 | 1997 | 1 | |
| 15 | Panel: scientific data management for human genome applications | 1990 | 0 |
About Stan Letovsky
Stan Letovsky is a scholar working on Molecular Biology, Artificial Intelligence, Infectious Diseases, Plant Science and Computer Networks and Communications, having authored 15 papers that have together received 1.1k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (3 papers), SARS-CoV-2 detection and testing (2 papers), Gene expression and cancer classification (2 papers), Chromosomal and Genetic Variations (2 papers), Bioinformatics and Genomic Networks (2 papers), COVID-19 Clinical Research Studies (2 papers), SARS-CoV-2 and COVID-19 Research (2 papers) and Molecular Biology Techniques and Applications (2 papers). The work is most often cited by research in Software (71 citations), Molecular Biology (786 citations), Cancer Research (121 citations), Information Systems (160 citations) and Computer Science Applications (34 citations). Stan Letovsky has collaborated with scholars based in United States, Singapore and Israel. Frequent co-authors include Doron Lipson, Simon Kasif, T. M. Murali, Charles R. Cantor, Chunming Ding, Ulaş Karaöz, Yu Zheng, Jeannine Pinto, Elliot Soloway and David Littman. Their work appears in journals such as PLoS ONE, Nature Biotechnology, Frontiers in Public Health, Trends in Genetics and Communications of the ACM.
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.