Céline Scornavacca

6.5k citations
70 papers · 3.3k indexed · 1 hit paper · h-index 23
Topics
Genomics and Phylogenetic Studies (56 papers)Genetic diversity and population structure (34 papers)Chromosomal and Genetic Variations (18 papers)
Journals
Nucleic Acids ResearchSHILAP Revista de lepidopterologíaBioinformatics
Partner nations
FranceGermanyNetherlands

In The Last Decade

Céline Scornavacca

69 papers receiving 3.3k citations

Hit Papers

Dendroscope 3: An Interactive Tool for Rooted Phylogeneti...201220262016202120124008001.2k

Peers

Céline Scornavacca
Comparison fields: 5 of 136
  • Molecular Biology 2.0k
  • Genetics 1.4k
  • Plant Science 874
  • Ecology, Evolution, Behavior and Systematics 642
  • Ecology 522
Replace Xing‐Xing Shen with:
Xing‐Xing Shen China
Ari Löytynoja Finland
Simon Whelan United Kingdom
Vincent Daubin France
Barry L. Williams United States
A. von Haeseler Germany
Chris Todd Hittinger United States
Alexey M. Kozlov Germany
Olivier Gascuel France
Si Quang Le United Kingdom
Céline Scornavacca relative to Xing‐Xing Shen China Xing‐Xing Shen's profile →
Citations per field
00.5×7.8×
Xing‐Xing Shen · 1×
Citations per year

Countries citing papers authored by Céline Scornavacca

Since Specialization
Citations

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

Fields of papers citing papers by Céline Scornavacca

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Céline Scornavacca

This figure shows the co-authorship network connecting the top 25 collaborators of Céline Scornavacca. A scholar is included among the top collaborators of Céline Scornavacca 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 Céline Scornavacca. Céline Scornavacca 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
#WorkIndexed citations
1 0
2 8
3 6
4 19
5 1
6 14
7 47
8 14
9 22
10 136
11 11
12 1
13 2
14 12
15 4
16 4
17 10
18 4
19 10
20 33

About Céline Scornavacca

Céline Scornavacca is a scholar working on Genetics, Paleontology and Molecular Biology, having authored 70 papers that have together received 3.3k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (56 papers), Genetic diversity and population structure (34 papers) and Chromosomal and Genetic Variations (18 papers). The work is most often cited by research in Genetics (1.4k citations), Paleontology (328 citations) and Ecology, Evolution, Behavior and Systematics (642 citations). Céline Scornavacca has collaborated with scholars based in France, Germany and Netherlands. Frequent co-authors include Daniel H. Huson, Regula Rupp, Vincent Ranwez, Nicolas Galtier, Emmanuel Douzery, Fabio Pardi, Siavash Mirarab, Chao Zhang, Erin K. Molloy and Vincent Berry. Their work appears in journals such as Nucleic Acids Research, SHILAP Revista de lepidopterología and Bioinformatics.

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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