Xavier Bailly

4.3k citations
83 papers · 3.4k · 1 hit paper · h-index 34

Impact in

Papers in

Xavier Bailly

80 papers receiving 3.3k citations

Xavier Bailly's Hit Papers

Assessing the root of bilaterian animals with scalable phylogenomic methods 2009 · 615 citations
6150+5+11Years since publication200400600

Peers

Xavier Bailly
Comparison fields: 5 of 130
  • Parasitology 383
  • Paleontology 380
  • Cell Biology 554
  • Oceanography 373
  • Ecology 686
Replace Jana Trifinopoulos with:
Jana Trifinopoulos Austria
Diep Thi Hoang Vietnam
Diego Darriba Germany
Lê Sỹ Vinh Vietnam
Sebastián E. Ramos‐Onsins Spain
Sara Guirao‐Rico Spain
Alejandro Sánchez‐Gracia Spain
Peter G. Foster United Kingdom
John Rozewicki Japan
Minh Anh Nguyen United States
Xavier Bailly relative to Jana Trifinopoulos Austria Jana Trifinopoulos's profile →
Citations per field
00.5×10×16.5×
Jana Trifinopoulos · 1×
Citations per year

Countries citing papers authored by Xavier Bailly

Since Specialization
Citations

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

Fields of papers citing papers by Xavier Bailly

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Xavier Bailly, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Xavier Bailly Line = papers co-authored together Xavier Bailly links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 83 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Assessing the root of bilaterian animals with scalable phylogenomic methods
Hit paper breakdown →
2009615
2 2006184
3 2005132
4 2015109
5 2005107
6 200794
7 200673
8 202173
9 200971
10 201570
11 201770
12 200770
13 202164
14 200663
15 201661
16 201553
17 200351
18 200850
19 200749
20 200447

About Xavier Bailly

Xavier Bailly is a scholar working on Molecular Biology, Plant Science, Ecology, Evolution, Behavior and Systematics, Ecology and Cell Biology, having authored 83 papers that have together received 3.4k indexed citations. Recurring topics across this work include Hemoglobin structure and function (14 papers), Legume Nitrogen Fixing Symbiosis (13 papers), Vector-borne infectious diseases (12 papers), Planarian Biology and Electrostimulation (10 papers), Viral Infections and Vectors (9 papers), Vector-Borne Animal Diseases (7 papers), Protist diversity and phylogeny (7 papers) and Cephalopods and Marine Biology (7 papers). The work is most often cited by research in Parasitology (383 citations), Paleontology (380 citations), Cell Biology (554 citations), Oceanography (373 citations) and Ecology (686 citations). Xavier Bailly has collaborated with scholars based in France, United States and Switzerland. Frequent co-authors include Serge N. Vinogradov, David Hoogewijs, Pedro Martı́nez, Sylvia Dewilde, Luc Moëns, Jacques R. Vanfleteren, Ulf Jondelius, Gilles Béna, Raúl Arredondo‐Peter and Julian Gough. Their work appears in journals such as BMC Evolutionary Biology, PLoS ONE, Veterinary Research, Molecular Biology and Evolution and Frontiers in Zoology.

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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