Valentin Vasselon

3.2k total citations
42 papers, 1.5k citations indexed

About

Valentin Vasselon is a scholar working on Ecology, Biomaterials and Molecular Biology. According to data from OpenAlex, Valentin Vasselon has authored 42 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Ecology, 28 papers in Biomaterials and 19 papers in Molecular Biology. Recurrent topics in Valentin Vasselon's work include Environmental DNA in Biodiversity Studies (36 papers), Diatoms and Algae Research (28 papers) and Microbial Community Ecology and Physiology (26 papers). Valentin Vasselon is often cited by papers focused on Environmental DNA in Biodiversity Studies (36 papers), Diatoms and Algae Research (28 papers) and Microbial Community Ecology and Physiology (26 papers). Valentin Vasselon collaborates with scholars based in France, Sweden and Spain. Valentin Vasselon's co-authors include Agnès Bouchez, Frédéric Rimet, Kálmán Tapolczai, François Keck, Maria Kahlert, Isabelle Domaizon, Sinziana F. Rivera, Rosa Trobajo, Stéphan Jacquet and David G. Mann and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and The Science of The Total Environment.

In The Last Decade

Valentin Vasselon

41 papers receiving 1.5k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Valentin Vasselon France 24 1.4k 764 625 100 85 42 1.5k
Jonas Zimmermann Germany 13 878 0.6× 653 0.9× 437 0.7× 188 1.9× 100 1.2× 42 1.1k
Gabriela Mataloni Argentina 19 805 0.6× 261 0.3× 300 0.5× 258 2.6× 139 1.6× 51 1.0k
Véronique Créach United Kingdom 15 511 0.4× 117 0.2× 196 0.3× 350 3.5× 113 1.3× 37 852
Wolf‐Henning Kusber Germany 15 322 0.2× 372 0.5× 251 0.4× 209 2.1× 168 2.0× 85 693
Gianfranco Novarino United Kingdom 18 487 0.4× 84 0.1× 370 0.6× 356 3.6× 154 1.8× 39 816
Flora Vincent Israel 11 527 0.4× 183 0.2× 301 0.5× 351 3.5× 93 1.1× 18 862
Dominik Forster Germany 17 689 0.5× 37 0.0× 539 0.9× 143 1.4× 56 0.7× 23 783
Sarah Romac France 23 1.2k 0.9× 72 0.1× 883 1.4× 552 5.5× 102 1.2× 44 1.6k
Sylvie V. M. Tesson Sweden 12 424 0.3× 32 0.0× 213 0.3× 171 1.7× 83 1.0× 24 664
Rachel E. Diner United States 9 419 0.3× 92 0.1× 278 0.4× 449 4.5× 32 0.4× 11 1.0k

Countries citing papers authored by Valentin Vasselon

Since Specialization
Citations

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

Fields of papers citing papers by Valentin Vasselon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Valentin Vasselon

This figure shows the co-authorship network connecting the top 25 collaborators of Valentin Vasselon. A scholar is included among the top collaborators of Valentin Vasselon 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 Valentin Vasselon. Valentin Vasselon is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Rimet, Frédéric, Benjamin Alric, Pedro Beja, et al.. (2025). Omics to Study and Manage Aquatic Environments: A Snapshot From the AquaEcOmics Meeting (Evian‐les‐Bains, 2025). Molecular Ecology. 34(17). e70041–e70041.
2.
Chardon, Cécile, Teofana Chonova, François Keck, et al.. (2023). Filling reference libraries with diatom environmental sequences: strengths and weaknesses. Diatom Research. 38(2). 103–127. 6 indexed citations
3.
Rivera, Sinziana F., Valentin Vasselon, Agnès Bouchez, & Frédéric Rimet. (2023). eDNA metabarcoding from aquatic biofilms allows studying spatial and temporal fluctuations of fish communities from Lake Geneva. Environmental DNA. 5(3). 570–581. 9 indexed citations
4.
Chardon, Cécile, Maria Kahlert, Satu Maaria Karjalainen, et al.. (2022). Recommendations for the preservation of environmental samples in diatom metabarcoding studies. SHILAP Revista de lepidopterología. 6. 10 indexed citations
5.
Vasselon, Valentin, François Keck, Laurent Millet, et al.. (2022). Paleoreconstructions of ciliate communities reveal long-term ecological changes in temperate lakes. Scientific Reports. 12(1). 7899–7899. 16 indexed citations
6.
Vasselon, Valentin, Teofana Chonova, Iakovos Tziortzis, et al.. (2021). Cyprus’ diatom diversity and the association of environmental and anthropogenic influences for ecological assessment of rivers using DNA metabarcoding. Chemosphere. 272. 129814–129814. 12 indexed citations
7.
Rimet, Frédéric, Teofana Chonova, Maria Kahlert, et al.. (2021). Diat.barcode: a DNA tool to decipher diatom communities for the evaluation environmental pressures. Zenodo (CERN European Organization for Nuclear Research). 4. 1 indexed citations
8.
Trobajo, Rosa, et al.. (2021). Species sensitivity analysis as a tool for interpreting diatom metabarcoding for WFD bioassessment. Zenodo (CERN European Organization for Nuclear Research). 4. 1 indexed citations
9.
Rivera, Sinziana F., Valentin Vasselon, Frédéric Rimet, & Agnès Bouchez. (2021). Aquatic biofilms can act as natural environmental DNA samplers. 4. 1 indexed citations
10.
Rivera, Sinziana F., et al.. (2020). Exploring the capacity of aquatic biofilms to act as environmental DNA samplers: Test on macroinvertebrate communities in rivers. The Science of The Total Environment. 763. 144208–144208. 23 indexed citations
11.
Trobajo, Rosa, et al.. (2020). Evaluation and sensitivity analysis of diatom DNA metabarcoding for WFD bioassessment of Mediterranean rivers. The Science of The Total Environment. 727. 138445–138445. 44 indexed citations
12.
Feio, Maria João, Sónia R. Q. Serra, Agnès Bouchez, et al.. (2020). A taxonomy-free approach based on machine learning to assess the quality of rivers with diatoms. The Science of The Total Environment. 722. 137900–137900. 32 indexed citations
13.
14.
Rimet, Frédéric, Maria Kahlert, Martyn Kelly, et al.. (2019). Diat.barcode, an open-access curated barcode library for diatoms. Scientific Reports. 9(1). 15116–15116. 124 indexed citations
15.
Tapolczai, Kálmán, Valentin Vasselon, Agnès Bouchez, et al.. (2018). The impact of OTU sequence similarity threshold on diatom‐based bioassessment: A case study of the rivers of Mayotte (France, Indian Ocean). Ecology and Evolution. 9(1). 166–179. 48 indexed citations
16.
Rimet, Frédéric, et al.. (2018). Do we similarly assess diversity with microscopy and high-throughput sequencing? Case of microalgae in lakes. Organisms Diversity & Evolution. 18(1). 51–62. 56 indexed citations
17.
Vasselon, Valentin, et al.. (2018). Survival and growth of Stenotrophomonas maltophilia in free-living amoebae (FLA) and bacterial virulence properties. PLoS ONE. 13(2). e0192308–e0192308. 14 indexed citations
18.
Rivera, Sinziana F., Valentin Vasselon, Katia Ballorain, et al.. (2018). DNA metabarcoding and microscopic analyses of sea turtles biofilms: Complementary to understand turtle behavior. PLoS ONE. 13(4). e0195770–e0195770. 41 indexed citations
19.
Vasselon, Valentin, et al.. (2017). Virulence test using nematodes to prescreen Nocardia species capable of inducing neurodegeneration and behavioral disorders. PeerJ. 5. e3823–e3823. 7 indexed citations
20.
Rimet, Frédéric, Philippe Chaumeil, François Keck, et al.. (2016). R-Syst::diatom: an open-access and curated barcode database for diatoms and freshwater monitoring. Database. 2016. baw016–baw016. 73 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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