Luke Ternes

4 papers and 34 indexed citations i.

About

Luke Ternes is a scholar working on Artificial Intelligence, Biophysics and Molecular Biology. According to data from OpenAlex, Luke Ternes has authored 4 papers receiving a total of 34 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Artificial Intelligence, 3 papers in Biophysics and 2 papers in Molecular Biology. Recurrent topics in Luke Ternes’s work include Cell Image Analysis Techniques (3 papers), AI in cancer detection (3 papers) and Single-cell and spatial transcriptomics (2 papers). Luke Ternes is often cited by papers focused on Cell Image Analysis Techniques (3 papers), AI in cancer detection (3 papers) and Single-cell and spatial transcriptomics (2 papers). Luke Ternes collaborates with scholars based in United States. Luke Ternes's co-authors include Young Hwan Chang, Joe W. Gray, Mark Dane, Laura M. Heiser, Sean M. Gross, Gordon B. Mills, Marilyne Labrie, Jia‐Ren Lin, Ge Huang and Yuan Chen and has published in prestigious journals such as Scientific Reports, PLoS Computational Biology and Communications Biology.

In The Last Decade

Co-authorship network of co-authors of Luke Ternes i

Fields of papers citing papers by Luke Ternes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Luke Ternes

Since Specialization
Citations

This map shows the geographic impact of Luke Ternes'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 Luke Ternes with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Luke Ternes 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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2025