S. Lewis

5.7k total citations
3 papers, 187 citations indexed

About

S. Lewis is a scholar working on Molecular Biology, Artificial Intelligence and Genetics. According to data from OpenAlex, S. Lewis has authored 3 papers receiving a total of 187 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 1 paper in Artificial Intelligence and 1 paper in Genetics. Recurrent topics in S. Lewis's work include Biomedical Text Mining and Ontologies (2 papers), Bioinformatics and Genomic Networks (2 papers) and RNA and protein synthesis mechanisms (1 paper). S. Lewis is often cited by papers focused on Biomedical Text Mining and Ontologies (2 papers), Bioinformatics and Genomic Networks (2 papers) and RNA and protein synthesis mechanisms (1 paper). S. Lewis collaborates with scholars based in United Kingdom, United States and Germany. S. Lewis's co-authors include Peter N. Robinson, Sebastian Köhler, Chris Mungall, Anika Oellrich, Barbara J. Ruef, Damian Smedley, Monte Westerfield, Michael Ashburner, Georgios V. Gkoutos and John M. Hancock and has published in prestigious journals such as Cold Spring Harbor Symposia on Quantitative Biology, Database and PubMed.

In The Last Decade

S. Lewis

3 papers receiving 184 citations

Peers

Countries citing papers authored by S. Lewis

Since Specialization

Citations

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

Fields of papers citing papers by S. Lewis

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of S. Lewis

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

All Works

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3 of 3 papers shown

#	Work	Indexed citations
1	PhenoDigm: analyzing curated annotations to associate animal models with human diseases 2013 ·Database ·Damian Smedley, Anika Oellrich, Sebastian Köhler, Barbara J. Ruef, (unknown), Monte Westerfield, Peter N. Robinson, S. Lewis, Chris Mungall	86
2	Entity/quality-based logical definitions for the human skeletal phenome using PATO 2009 ·PubMed ·Georgios V. Gkoutos, Chris Mungall, (unknown), Michael Ashburner, S. Lewis, John M. Hancock, Paul N. Schofield, Sebastian Köhler, Peter N. Robinson	61
3	The Genome Knowledgebase: A Resource for Biologists and Bioinformaticists 2003 ·Cold Spring Harbor Symposia on Quantitative Biology ·Joshi-Tope Geeta, Imre Västrik, Gopal Gopinath, Lisa Matthews, Esther Schmidt, Marc Gillespie, Peter D’Eustachio, Bijay Jassal, S. Lewis, Guanming Wu, Ewan Birney, Lincoln Stein	40

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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