Sébastien Theil

1.8k total citations
48 papers, 696 citations indexed

About

Sébastien Theil is a scholar working on Plant Science, Endocrinology and Molecular Biology. According to data from OpenAlex, Sébastien Theil has authored 48 papers receiving a total of 696 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Plant Science, 21 papers in Endocrinology and 11 papers in Molecular Biology. Recurrent topics in Sébastien Theil's work include Plant Virus Research Studies (27 papers), Plant and Fungal Interactions Research (20 papers) and Plant Disease Resistance and Genetics (12 papers). Sébastien Theil is often cited by papers focused on Plant Virus Research Studies (27 papers), Plant and Fungal Interactions Research (20 papers) and Plant Disease Resistance and Genetics (12 papers). Sébastien Theil collaborates with scholars based in France, Germany and Guadeloupe. Sébastien Theil's co-authors include Thierry Candresse, Armelle Marais, Chantal Faure, Simon Roux, Sébastien Personnic, Jonathan Colombet, Agnès Robin, Télesphore Sime‐Ngando, François Enault and Didier Debroas and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Applied and Environmental Microbiology.

In The Last Decade

Sébastien Theil

48 papers receiving 685 citations

Peers

Sébastien Theil
Comparison fields: 5 of 61
  • Plant Science 479
  • Endocrinology 242
  • Ecology 202
  • Molecular Biology 162
  • Food Science 54
Replace Diogo Nuno Silva with:
Diogo Nuno Silva Portugal
Mikhail Raiko Russia
Justine Charon Australia
Syun‐ichi Urayama Japan
Katja R. Richert‐Pöggeler Germany
Colin Buttimer Ireland
Carmen Palomino Spain
Shiro Fukuta Japan
Jinzhou Xiao China
Antonet M. Svircev Canada
Diogo Nuno Silva Portugal View profile →
Citations per field, relative to Sébastien Theil
Sébastien Theil · 1×
Citations per year, relative to Sébastien Theil
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Countries citing papers authored by Sébastien Theil

Since Specialization
Citations

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

Fields of papers citing papers by Sébastien Theil

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sébastien Theil

This figure shows the co-authorship network connecting the top 25 collaborators of Sébastien Theil. A scholar is included among the top collaborators of Sébastien Theil 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 Sébastien Theil. Sébastien Theil 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
# Work Indexed citations
1 1
2 1
3 9
4 3
5 9
6 8
7 2
8 10
9 1
10 5
11 10
12 1
13 11
14 5
15 7
16 4
17 18
18 11
19 8
20 34

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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