Pierre‐Luc Germain

9 papers and 368 indexed citations i.

About

Pierre‐Luc Germain is a scholar working on Molecular Biology, Genetics and Artificial Intelligence. According to data from OpenAlex, Pierre‐Luc Germain has authored 9 papers receiving a total of 368 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 3 papers in Genetics and 1 paper in Artificial Intelligence. Recurrent topics in Pierre‐Luc Germain’s work include Machine Learning and Data Classification (1 paper), Williams Syndrome Research (1 paper) and History of Science and Medicine (1 paper). Pierre‐Luc Germain is often cited by papers focused on Machine Learning and Data Classification (1 paper), Williams Syndrome Research (1 paper) and History of Science and Medicine (1 paper). Pierre‐Luc Germain collaborates with scholars based in Switzerland, Belgium and Italy. Pierre‐Luc Germain's co-authors include Johannes Bohacek, Oliver Sturman, Matthias T. Wyss, Lukas von Ziegler, Amalia Floriou‐Servou, Kim David Ferrari, Bruno Weber, Mattia Privitera, Yannick Vermeiren and Peter Paul De Deyn and has published in prestigious journals such as Nature Protocols, Genome biology and Cell Reports.

In The Last Decade

Co-authorship network of co-authors of Pierre‐Luc Germain i

Fields of papers citing papers by Pierre‐Luc Germain

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pierre‐Luc Germain. 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 Pierre‐Luc Germain. The network helps show where Pierre‐Luc Germain may publish in the future.

Countries citing papers authored by Pierre‐Luc Germain

Since Specialization
Citations

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