Morgan Gaïa

1.6k total citations · 1 hit paper
22 papers, 723 citations indexed

About

Morgan Gaïa is a scholar working on Ecology, Plant Science and Molecular Biology. According to data from OpenAlex, Morgan Gaïa has authored 22 papers receiving a total of 723 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Ecology, 13 papers in Plant Science and 7 papers in Molecular Biology. Recurrent topics in Morgan Gaïa's work include Bacteriophages and microbial interactions (16 papers), Plant Virus Research Studies (13 papers) and Genomics and Phylogenetic Studies (6 papers). Morgan Gaïa is often cited by papers focused on Bacteriophages and microbial interactions (16 papers), Plant Virus Research Studies (13 papers) and Genomics and Phylogenetic Studies (6 papers). Morgan Gaïa collaborates with scholars based in France, Japan and Denmark. Morgan Gaïa's co-authors include Patrick Forterre, Violette Da Cunha, Mart Krupovìč, Bernard La Scola, Isabelle Pagnier, Didier Raoult, Julien Guglielmini, Anthony C. Woo, Arshan Nasir and Hiroyuki Ogata and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Morgan Gaïa

21 papers receiving 715 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Mirusviruses link herpesviruses to giant viruses

2023 62 citations Morgan Gaïa, Lingjie Meng et al. Nature profile →

Peers

Morgan Gaïa

ECOLO

PS

MB

ENDOC

GENET

Julia Bartoli France

Defne Arslan France

Paulo Victor de Miranda Boratto Brazil

Jean-Marie Alempic France

Thalita Souza Arantes Brazil

Tomohiro Mochizuki Japan

Jonas D. Albarnaz Brazil

Adriana Lucía-Sanz United States

Lilian Järvekülg Estonia

Simon H. Damberger United States

Julia Bartoli France

Morgan Gaïa

608 ×1.0

ECOLO

364 ×1.0

PS

200 ×0.7

MB

193 ×1.3

ENDOC

51 ×0.7

GENET

Citations per year, relative to Morgan Gaïa Morgan Gaïa (= 1×) peers Julia Bartoli

Countries citing papers authored by Morgan Gaïa

Since Specialization

Citations

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

Fields of papers citing papers by Morgan Gaïa

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Morgan Gaïa

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

All Works

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20 of 20 papers shown

1.

Medvedeva, Sofia, Éric Pelletier, Hans‐Joachim Ruscheweyh, et al.. (2025). Widespread and intron-rich mirusviruses are predicted to reproduce in nuclei of unicellular eukaryotes. Nature Microbiology. 11(1). 228–239.

2.

Delmont, Tom O., et al.. (2024). Complex Genomes of Early Nucleocytoviruses Revealed by Ancient Origins of Viral Aminoacyl-tRNA Synthetases. Molecular Biology and Evolution. 41(8). 7 indexed citations

3.

Meng, Lingjie, et al.. (2024). Gene Transfer Among Viruses Substantially Contributes to Gene Gain of Giant Viruses. Molecular Biology and Evolution. 41(8). 4 indexed citations

4.

Meng, Lingjie, Tom O. Delmont, Morgan Gaïa, et al.. (2023). Genomic adaptation of giant viruses in polar oceans. Nature Communications. 14(1). 6233–6233. 11 indexed citations

5.

Gaïa, Morgan, Lingjie Meng, Éric Pelletier, et al.. (2023). Mirusviruses link herpesviruses to giant viruses. Nature. 616(7958). 783–789. 62 indexed citations breakdown →

6.

Rosani, Umberto, Morgan Gaïa, Tom O. Delmont, & Mart Krupovìč. (2023). Tracing the invertebrate herpesviruses in the global sequence datasets. Frontiers in Marine Science. 10. 11 indexed citations

7.

Gaïa, Morgan & Patrick Forterre. (2023). From Mimivirus to Mirusvirus: The Quest for Hidden Giants. Viruses. 15(8). 1758–1758. 6 indexed citations

8.

Guglielmini, Julien, Morgan Gaïa, Violette Da Cunha, et al.. (2022). Viral origin of eukaryotic type IIA DNA topoisomerases. Virus Evolution. 8(2). veac097–veac097. 15 indexed citations

9.

Cunha, Violette Da, Morgan Gaïa, & Patrick Forterre. (2022). The expanding Asgard archaea and their elusive relationships with Eukarya. SHILAP Revista de lepidopterología. 1(1). 3–12. 11 indexed citations

10.

Cunha, Violette Da, Morgan Gaïa, Hiroyuki Ogata, et al.. (2022). Giant Viruses Encode Actin-Related Proteins. Molecular Biology and Evolution. 39(2). 32 indexed citations

11.

Forterre, Patrick & Morgan Gaïa. (2022). Les virus et l’émergence des cellules eucaryotes modernes. médecine/sciences. 38(12). 990–998. 1 indexed citations

12.

Delmont, Tom O., et al.. (2021). Discovery of Viral Myosin Genes With Complex Evolutionary History Within Plankton. Frontiers in Microbiology. 12. 683294–683294. 17 indexed citations

13.

Woo, Anthony C., Morgan Gaïa, Julien Guglielmini, Violette Da Cunha, & Patrick Forterre. (2021). Phylogeny of the Varidnaviria Morphogenesis Module: Congruence and Incongruence With the Tree of Life and Viral Taxonomy. Frontiers in Microbiology. 12. 704052–704052. 20 indexed citations

14.

Forterre, Patrick & Morgan Gaïa. (2021). Les virus géants et l’origine des ARN polymérases des eucaryotes. médecine/sciences. 37(3). 230–233. 1 indexed citations

15.

Kaneko, Hiroto, Romain Blanc‐Mathieu, Hisashi Endo, et al.. (2020). Eukaryotic virus composition can predict the efficiency of carbon export in the global ocean. iScience. 24(1). 102002–102002. 48 indexed citations

16.

Cunha, Violette Da, Morgan Gaïa, Danièle Gadelle, Arshan Nasir, & Patrick Forterre. (2017). Lokiarchaea are close relatives of Euryarchaeota, not bridging the gap between prokaryotes and eukaryotes. PLoS Genetics. 13(6). e1006810–e1006810. 102 indexed citations

17.

Forterre, Patrick & Morgan Gaïa. (2016). Giant viruses and the origin of modern eukaryotes. Current Opinion in Microbiology. 31. 44–49. 56 indexed citations

18.

Gaïa, Morgan, Samia Benamar, Mondher Boughalmi, et al.. (2014). Zamilon, a Novel Virophage with Mimiviridae Host Specificity. PLoS ONE. 9(4). e94923–e94923. 86 indexed citations

19.

Gaïa, Morgan, Isabelle Pagnier, Angélique Campocasso, et al.. (2013). Broad Spectrum of Mimiviridae Virophage Allows Its Isolation Using a Mimivirus Reporter. PLoS ONE. 8(4). e61912–e61912. 54 indexed citations

20.

Pagnier, Isabelle, Mondher Boughalmi, Morgan Gaïa, et al.. (2013). A Decade of Improvements in Mimiviridae and Marseilleviridae Isolation from Amoeba. Intervirology. 56(6). 354–363. 79 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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