Jean Sallantin

34 papers and 252 indexed citations i.

About

Jean Sallantin is a scholar working on Artificial Intelligence, Molecular Biology and Computational Theory and Mathematics. According to data from OpenAlex, Jean Sallantin has authored 34 papers receiving a total of 252 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Artificial Intelligence, 11 papers in Molecular Biology and 7 papers in Computational Theory and Mathematics. Recurrent topics in Jean Sallantin’s work include Semantic Web and Ontologies (7 papers), RNA and protein synthesis mechanisms (5 papers) and Machine Learning in Bioinformatics (5 papers). Jean Sallantin is often cited by papers focused on Semantic Web and Ontologies (7 papers), RNA and protein synthesis mechanisms (5 papers) and Machine Learning in Bioinformatics (5 papers). Jean Sallantin collaborates with scholars based in France, Brazil and The Netherlands. Jean Sallantin's co-authors include Jacques Haiech, Jérôme Gracy, L. Chiche, Walter E. Kaufmann, Coralie Williams, Harald Hampel, Adrien Etcheto, Mohammad Afshar, Federico Goodsaid and Magali Benoit and has published in prestigious journals such as Biochimie, Signal Processing and Protein Engineering Design and Selection.

In The Last Decade

Co-authorship network of co-authors of Jean Sallantin i

Fields of papers citing papers by Jean Sallantin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Jean Sallantin

Since Specialization
Citations

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