Evan Senter
Impact in
-
- RNA and protein synthesis mechanisms
- RNA modifications and cancer
- RNA Research and Splicing
- Genomics and Phylogenetic Studies
- Protein Structure and Dynamics
- Machine Learning in Bioinformatics
Papers in
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- RNA and protein synthesis mechanisms 4
- RNA modifications and cancer 3
- RNA Research and Splicing 2
- Protein Structure and Dynamics 1
- Genetics 2
- Bacterial Genetics and Biotechnology 2
- Co-authors
- Peter Clote (4 shared papers)Iván Dotú (3 shared papers)Yann Ponty (2 shared papers)Ashley Edwards (1 shared paper)Kory W. Mathewson (1 shared paper)Sukhdeep Singh (1 shared paper)Richard Everett (1 shared paper)Adrian Collister (1 shared paper)
- Journals
- Journal of Mathematical Biology (1 paper)Journal of Computational Biology (1 paper)Nature Communications (1 paper)PLoS ONE (1 paper)Lecture notes in computer science (1 paper)
- Partner nations
- United StatesFranceUnited Kingdom
In The Last Decade
Evan Senter
5 papers receiving 41 citations
Peers
Comparison fields: 5 of 13
- Molecular Biology 38
- Virology 2
- Genetics 10
- Information Systems and Management 1
- Management Information Systems 1
Countries citing papers authored by Evan Senter
This map shows the geographic impact of Evan Senter'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 Evan Senter with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Evan Senter more than expected).
Fields of papers citing papers by Evan Senter
This network shows the impact of papers produced by Evan Senter. 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 Evan Senter. The network helps show where Evan Senter may publish in the future.
Co-authors
The 10 scholars most cited alongside Evan Senter, 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 | 2012 | 13 | |
| 2 | 2013 | 12 | |
| 3 | 2014 | 9 | |
| 4 | 2015 | 4 | |
| 5 | 2023 | 3 |
About Evan Senter
Evan Senter is a scholar working on Molecular Biology, Genetics, Sociology and Political Science, Artificial Intelligence and Cultural Studies, having authored 5 papers that have together received 41 indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (4 papers), RNA modifications and cancer (3 papers), RNA Research and Splicing (2 papers), Bacterial Genetics and Biotechnology (2 papers), Language and cultural evolution (1 paper), Artificial Intelligence in Games (1 paper), Protein Structure and Dynamics (1 paper) and Evolutionary Game Theory and Cooperation (1 paper). The work is most often cited by research in Molecular Biology (38 citations), Virology (2 citations), Genetics (10 citations), Information Systems and Management (1 citation) and Management Information Systems (1 citation). Evan Senter has collaborated with scholars based in United States, France and United Kingdom. Frequent co-authors include Peter Clote, Iván Dotú, Yann Ponty, Ashley Edwards, Kory W. Mathewson, Sukhdeep Singh, Richard Everett, Adrian Collister, Alexandre Fréchette and Edward Hughes. Their work appears in journals such as Journal of Mathematical Biology, Journal of Computational Biology, Nature Communications, PLoS ONE and Lecture notes in computer science.
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.