Pia Neyt

18 papers and 626 indexed citations i.

About

Pia Neyt is a scholar working on Molecular Biology, Plant Science and Oncology. According to data from OpenAlex, Pia Neyt has authored 18 papers receiving a total of 626 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 14 papers in Plant Science and 1 paper in Oncology. Recurrent topics in Pia Neyt’s work include Plant Molecular Biology Research (12 papers), Plant Reproductive Biology (7 papers) and Plant Gene Expression Analysis (6 papers). Pia Neyt is often cited by papers focused on Plant Molecular Biology Research (12 papers), Plant Reproductive Biology (7 papers) and Plant Gene Expression Analysis (6 papers). Pia Neyt collaborates with scholars based in Belgium, Spain and Italy. Pia Neyt's co-authors include Mieke Van Lijsebettens, Gerda Cnops, Hilde Nelissen, José Luis Micol, Tom Gerats, Delphine Fleury, Janny L. Peters, Kristiina Himanen, Pedro Robles and Dirk Inzé and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and The Plant Cell.

In The Last Decade

Co-authorship network of co-authors of Pia Neyt i

Fields of papers citing papers by Pia Neyt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Pia Neyt

Since Specialization
Citations

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