Cyril Pommier

2.5k total citations
11 papers, 246 citations indexed

About

Cyril Pommier is a scholar working on Molecular Biology, Information Systems and Information Systems and Management. According to data from OpenAlex, Cyril Pommier has authored 11 papers receiving a total of 246 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 5 papers in Information Systems and 4 papers in Information Systems and Management. Recurrent topics in Cyril Pommier's work include Research Data Management Practices (4 papers), Scientific Computing and Data Management (4 papers) and Genetic Mapping and Diversity in Plants and Animals (2 papers). Cyril Pommier is often cited by papers focused on Research Data Management Practices (4 papers), Scientific Computing and Data Management (4 papers) and Genetic Mapping and Diversity in Plants and Animals (2 papers). Cyril Pommier collaborates with scholars based in France, United Kingdom and Belgium. Cyril Pommier's co-authors include Paul Kersey, Dijun Chen, Aalt D. J. van Dijk, Jan van Oeveren, Hanna Ćwiek‐Kupczyńska, Uwe Scholz, Stéphan Weise, Augustyn Markiewicz, Hadi Quesneville and Jan Peter Nap and has published in prestigious journals such as Bioinformatics, New Phytologist and Trends in Plant Science.

In The Last Decade

Cyril Pommier

8 papers receiving 244 citations

Peers

Cyril Pommier

PS

MB

GENET

ECOLO

IS

Hanna Ćwiek‐Kupczyńska Poland

Daniel Arend Germany

Dag Endresen Norway

Justin Preece United States

Delphine Steinbach France

Rosemary Shrestha Mexico

Danuta Schüler Germany

Michaël Alaux France

Pascal Neveu France

М. А. Генаев Russia

Hanna Ćwiek‐Kupczyńska Poland

Cyril Pommier

207 ×1.3

PS

67 ×0.7

MB

49 ×0.9

GENET

25 ×0.5

ECOLO

18 ×0.6

IS

Citations per year, relative to Cyril Pommier Cyril Pommier (= 1×) peers Hanna Ćwiek‐Kupczyńska

Countries citing papers authored by Cyril Pommier

Since Specialization

Citations

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

Fields of papers citing papers by Cyril Pommier

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cyril Pommier

This figure shows the co-authorship network connecting the top 25 collaborators of Cyril Pommier. A scholar is included among the top collaborators of Cyril Pommier based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Cyril Pommier. Cyril Pommier is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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11 of 11 papers shown

1.

Pommier, Cyril, Llorenç Cabrera‐Bosquet, Xavier Draye, et al.. (2025). Reassessing data management in increasingly complex phenotypic datasets. Trends in Plant Science.

2.

Pommier, Cyril. (2024). FAIR Plant Phenomics Data Management Tools and Guidelines.: Some current practices in Elixir and Emphasis European Infrastructures. SPIRE - Sciences Po Institutional REpository.

3.

Liyanage, Isuru, Tony Burdett, Bert Droesbeke, et al.. (2022). ELIXIR biovalidator for semantic validation of life science metadata. Bioinformatics. 38(11). 3141–3142. 1 indexed citations

4.

Bernard, Anthony, Teresa Barreneche, Sophie Durand, et al.. (2019). The walnut genetic resources of INRA: chronological phenotypic data and ontology. BMC Research Notes. 12(1). 662–662. 4 indexed citations

5.

Amselem, Joëlle, Guillaume Cornut, Nathalie Choisne, et al.. (2019). RepetDB: a unified resource for transposable element references. Mobile DNA. 10(1). 6–6. 36 indexed citations

6.

Pommier, Cyril, Célia Michotey, Guillaume Cornut, et al.. (2019). Applying FAIR Principles to Plant Phenotypic Data Management in GnpIS. Plant Phenomics. 2019. 1671403–1671403. 28 indexed citations

7.

Neveu, Pascal, Nadine Hilgert, Vincent Nègre, et al.. (2018). Dealing with multi‐source and multi‐scale information in plant phenomics: the ontology‐driven Phenotyping Hybrid Information System. New Phytologist. 221(1). 588–601. 50 indexed citations

8.

Alaux, Michaël, Sophie Aubin, Elizabeth Arnaud, et al.. (2017). Wheat Data Interoperability Guidelines, Ontologies and User Cases. Zenodo (CERN European Organization for Nuclear Research). 1 indexed citations

9.

Adam‐Blondon, Anne‐Françoise, Michaël Alaux, Sophie Durand, et al.. (2016). Mining Plant Genomic and Genetic Data Using the GnpIS Information System. Methods in molecular biology. 1533. 103–117.

10.

Krajewski, Paweł, Dijun Chen, Hanna Ćwiek‐Kupczyńska, et al.. (2015). Towards recommendations for metadata and data handling in plant phenotyping. Journal of Experimental Botany. 66(18). 5417–5427. 94 indexed citations

11.

Steinbach, Delphine, Michaël Alaux, Joëlle Amselem, et al.. (2013). GnpIS: an information system to integrate genetic and genomic data from plants and fungi. Database. 2013. bat058–bat058. 32 indexed citations

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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