Tom Conlin

About

Tom Conlin is a scholar working on Molecular Biology, Artificial Intelligence and Ecology. According to data from OpenAlex, Tom Conlin has authored 3 papers receiving a total of 45 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Molecular Biology, 1 paper in Artificial Intelligence and 1 paper in Ecology. Recurrent topics in Tom Conlin’s work include Genomics and Phylogenetic Studies (2 papers), Neurogenesis and neuroplasticity mechanisms (1 paper) and Biomedical Text Mining and Ontologies (1 paper). Tom Conlin is often cited by papers focused on Genomics and Phylogenetic Studies (2 papers), Neurogenesis and neuroplasticity mechanisms (1 paper) and Biomedical Text Mining and Ontologies (1 paper). Tom Conlin collaborates with scholars based in United States. Tom Conlin's co-authors include Seymour Reichlin, Robert Guralnick, Nico Cellinese, John Deck, Brian J. Stucky and Brian J. Stucky and has published in prestigious journals such as PLoS ONE, Brain Research and BMC Bioinformatics.

In The Last Decade

Co-authorship network of co-authors of Tom Conlin i

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Fields of papers citing papers by Tom Conlin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Tom Conlin

Since Specialization

Citations

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

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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