Lionel Guy

4.5k total citations · 2 hit papers
46 papers, 2.7k citations indexed

About

Lionel Guy is a scholar working on Molecular Biology, Genetics and Ecology. According to data from OpenAlex, Lionel Guy has authored 46 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Molecular Biology, 17 papers in Genetics and 14 papers in Ecology. Recurrent topics in Lionel Guy's work include Genomics and Phylogenetic Studies (20 papers), Microbial Community Ecology and Physiology (11 papers) and Bacterial Genetics and Biotechnology (11 papers). Lionel Guy is often cited by papers focused on Genomics and Phylogenetic Studies (20 papers), Microbial Community Ecology and Physiology (11 papers) and Bacterial Genetics and Biotechnology (11 papers). Lionel Guy collaborates with scholars based in Sweden, Switzerland and United States. Lionel Guy's co-authors include Thijs J. G. Ettema, Siv G. E. Andersson, Jens Roat Kultima, Joran Martijn, Jimmy H. Saw, Katarzyna Zaremba-Niedźwiedzka, Anja Spang, Anders E. Lind, Steffen L. Jørgensen and Roel van Eijk and has published in prestigious journals such as Nature, Bioinformatics and PLoS ONE.

In The Last Decade

Lionel Guy

45 papers receiving 2.7k citations

Hit Papers

Complex archaea that bridge the gap between prokaryotes a... 2010 2026 2015 2020 2015 2010 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lionel Guy Sweden 20 1.8k 1.0k 445 345 243 46 2.7k
Hoda Khouri United States 16 1.3k 0.7× 792 0.8× 279 0.6× 436 1.3× 109 0.4× 18 2.4k
Alexandra Calteau France 26 1.1k 0.6× 685 0.7× 198 0.4× 482 1.4× 279 1.1× 37 2.5k
Giddy Landan Germany 26 2.3k 1.3× 1.1k 1.1× 573 1.3× 568 1.6× 74 0.3× 40 3.3k
Luke J. Tallon United States 30 1.9k 1.1× 774 0.8× 354 0.8× 776 2.2× 256 1.1× 67 3.6k
Sophie S. Abby France 25 1.3k 0.7× 868 0.9× 451 1.0× 382 1.1× 367 1.5× 37 2.2k
Olga Zhaxybayeva United States 28 2.3k 1.3× 1.5k 1.5× 633 1.4× 686 2.0× 149 0.6× 64 3.3k
Sarah P. Preheim United States 22 1.3k 0.7× 1.1k 1.1× 326 0.7× 155 0.4× 341 1.4× 39 2.4k
Thomas G. Doak United States 29 2.7k 1.5× 1.2k 1.2× 799 1.8× 928 2.7× 93 0.4× 66 3.6k
Bastien Chevreux United States 10 2.4k 1.3× 968 1.0× 1.0k 2.3× 715 2.1× 122 0.5× 12 3.7k
Stéphane Cruveiller France 33 2.5k 1.4× 888 0.9× 1.2k 2.7× 1.1k 3.1× 415 1.7× 71 4.4k

Countries citing papers authored by Lionel Guy

Since Specialization
Citations

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

Fields of papers citing papers by Lionel Guy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lionel Guy

This figure shows the co-authorship network connecting the top 25 collaborators of Lionel Guy. A scholar is included among the top collaborators of Lionel Guy 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 Lionel Guy. Lionel Guy 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.
Paranjape, Kiran, et al.. (2025). Host-Specific Adaptation of Legionella pneumophila to Single and Multiple Hosts. Molecular Biology and Evolution. 42(8).
2.
Paranjape, Kiran, et al.. (2023). Rapid adaptations of Legionella pneumophila to the human host. Microbial Genomics. 9(3). 6 indexed citations
3.
Biffignandi, Gherard Batisti, Michele Castelli, Emanuela Olivieri, et al.. (2023). The evolution of intramitochondriality in Midichloria bacteria. Environmental Microbiology. 25(11). 2102–2117. 5 indexed citations
4.
Andersson, Siv G. E., et al.. (2023). TADA: taxonomy-aware dataset aggregator. Bioinformatics. 39(12). 1 indexed citations
5.
Ammunét, Tea, et al.. (2022). Host Adaptation in Legionellales Is 1.9 Ga, Coincident with Eukaryogenesis. Molecular Biology and Evolution. 39(3). 18 indexed citations
6.
Jernberg, Cecilia, et al.. (2021). Molecular Characterization of Multidrug-Resistant Yersinia enterocolitica From Foodborne Outbreaks in Sweden. Frontiers in Microbiology. 12. 664665–664665. 33 indexed citations
7.
Hurtig, Fredrik, Jens Eriksson, Lionel Guy, et al.. (2021). Heimdallarchaea encodes profilin with eukaryotic-like actin regulation and polyproline binding. Communications Biology. 4(1). 1024–1024. 18 indexed citations
8.
Wang, Helen, Jens‐Kjeld Jensen, Anna Olsson, et al.. (2020). Chlamydia psittaci in fulmars on the Faroe Islands: a causative link to South American psittacines eight decades after a severe epidemic. Microbes and Infection. 22(8). 356–359. 7 indexed citations
9.
Kaçar, Betül, Lionel Guy, Eric Smith, & John A. Baross. (2017). Resurrecting ancestral genes in bacteria to interpret ancient biosignatures. Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences. 375(2109). 20160352–20160352. 21 indexed citations
10.
Guy, Lionel. (2017). phyloSkeleton: taxon selection, data retrieval and marker identification for phylogenomics. Bioinformatics. 33(8). 1230–1232. 13 indexed citations
11.
Tamarit, Daniel, Kristina Näslund, Jüergen Liebig, et al.. (2016). The genome of Rhizobiales bacteria in predatory ants reveals urease gene functions but no genes for nitrogen fixation. Scientific Reports. 6(1). 39197–39197. 45 indexed citations
12.
Martijn, Joran, Frederik Schulz, Katarzyna Zaremba-Niedźwiedzka, et al.. (2015). Single-cell genomics of a rare environmental alphaproteobacterium provides unique insights into Rickettsiaceae evolution. The ISME Journal. 9(11). 2373–2385. 32 indexed citations
13.
Guy, Lionel, Jimmy H. Saw, & Thijs J. G. Ettema. (2014). The Archaeal Legacy of Eukaryotes: A Phylogenomic Perspective. Cold Spring Harbor Perspectives in Biology. 6(10). a016022–a016022. 47 indexed citations
14.
Guy, Lionel, Björn Nystedt, Yu Sun, et al.. (2012). A genome-wide study of recombination rate variation in Bartonella henselae. BMC Evolutionary Biology. 12(1). 65–65. 17 indexed citations
15.
Guy, Lionel & Thijs J. G. Ettema. (2011). The archaeal ‘TACK’ superphylum and the origin of eukaryotes. Trends in Microbiology. 19(12). 580–587. 228 indexed citations
16.
Guy, Lionel, Jens Roat Kultima, & Siv G. E. Andersson. (2010). genoPlotR: comparative gene and genome visualization in R. Bioinformatics. 26(18). 2334–2335. 506 indexed citations breakdown →
17.
Panchaud, Alexandre, Lionel Guy, François Collyn, et al.. (2009). M-protein and other intrinsic virulence factors of Streptococcus pyogenes are encoded on an ancient pathogenicity island. BMC Genomics. 10(1). 198–198. 17 indexed citations
18.
Guy, Lionel, et al.. (2007). Solving ambiguities in contig assembly ofIdiomarina loihiensisL2TR chromosome byin silicoanalyses. FEMS Microbiology Letters. 271(2). 187–192. 4 indexed citations
19.
Guy, Lionel. (2006). Identification and Characterization of Pathogenicity and Other Genomic Islands Using Base Composition Analyses. Future Microbiology. 1(3). 309–316. 10 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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