Stuart Lithwick
Impact in
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- Genomics and Chromatin Dynamics
- RNA and protein synthesis mechanisms
- RNA Research and Splicing
- Genomics and Phylogenetic Studies
- RNA modifications and cancer
- Bioinformatics and Genomic Networks
Papers in
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- Genomics and Phylogenetic Studies 7
- RNA and protein synthesis mechanisms 6
- Machine Learning in Bioinformatics 2
- RNA Research and Splicing 1
- Molecular Biology Techniques and Applications 1
- Fractal and DNA sequence analysis 1
- Ecology 1
- Co-authors
- Wyeth W. Wasserman (3 shared papers)Pär G. Engström (2 shared papers)Boris Lenhard (2 shared papers)Per Eriksson (2 shared papers)Jay Snoddy (1 shared paper)David J. Arenillas (2 shared papers)Stefan Kirov (1 shared paper)Jacob Odeberg (2 shared papers)
- Journals
- PLoS Computational Biology (2 papers)Genome biology (1 paper)Letters in Applied Microbiology (1 paper)Archaea (1 paper)Genomics (1 paper)
- Partner nations
- CanadaUnited StatesEgypt
In The Last Decade
Stuart Lithwick
9 papers receiving 186 citations
Peers
Comparison fields: 5 of 45
- Molecular Biology 164
- Cancer Research 31
- Genetics 36
- Aging 2
- Immunology 12
Countries citing papers authored by Stuart Lithwick
This map shows the geographic impact of Stuart Lithwick'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 Stuart Lithwick with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stuart Lithwick more than expected).
Fields of papers citing papers by Stuart Lithwick
This network shows the impact of papers produced by Stuart Lithwick. 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 Stuart Lithwick. The network helps show where Stuart Lithwick may publish in the future.
Co-authors
The 16 scholars most cited alongside Stuart Lithwick, 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 | 2008 | 82 | |
| 2 | 2007 | 76 | |
| 3 | 2001 | 14 | |
| 4 | 2002 | 6 | |
| 5 | Codon usage analysis of Ascaris species influence of base and intercodon frequencies on the synonymous codon usage. | 2002 | 3 |
| 6 | 2004 | 2 | |
| 7 | Influence of parasitic life style on the patterns of codon usage and base frequencies of Ancylostoma and Necator species. | 2002 | 2 |
| 8 | 2003 | 1 | |
| 9 | 2005 | 1 |
About Stuart Lithwick
Stuart Lithwick is a scholar working on Molecular Biology, Ecology, Microbiology, Insect Science and Plant Science, having authored 9 papers that have together received 187 indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (7 papers), RNA and protein synthesis mechanisms (6 papers), Machine Learning in Bioinformatics (2 papers), Microbial infections and disease research (1 paper), RNA Research and Splicing (1 paper), Molecular Biology Techniques and Applications (1 paper), Fractal and DNA sequence analysis (1 paper) and Insect symbiosis and bacterial influences (1 paper). The work is most often cited by research in Molecular Biology (164 citations), Cancer Research (31 citations), Genetics (36 citations), Aging (2 citations) and Immunology (12 citations). Stuart Lithwick has collaborated with scholars based in Canada, United States and Egypt. Frequent co-authors include Wyeth W. Wasserman, Pär G. Engström, Boris Lenhard, Per Eriksson, Jay Snoddy, David J. Arenillas, Stefan Kirov, Jacob Odeberg, Magdalena I. Swanson and Élodie Portales-Casamar. Their work appears in journals such as PLoS Computational Biology, Genome biology, Letters in Applied Microbiology, Archaea and Genomics.
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.