Bertsy Goić

1.2k total citations
9 papers, 895 citations indexed

About

Bertsy Goić is a scholar working on Immunology, Plant Science and Molecular Biology. According to data from OpenAlex, Bertsy Goić has authored 9 papers receiving a total of 895 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Immunology, 4 papers in Plant Science and 3 papers in Molecular Biology. Recurrent topics in Bertsy Goić's work include Plant Virus Research Studies (4 papers), Insect symbiosis and bacterial influences (3 papers) and Mosquito-borne diseases and control (3 papers). Bertsy Goić is often cited by papers focused on Plant Virus Research Studies (4 papers), Insect symbiosis and bacterial influences (3 papers) and Mosquito-borne diseases and control (3 papers). Bertsy Goić collaborates with scholars based in France, United States and Chile. Bertsy Goić's co-authors include Maria‐Carla Saleh, Valérie Gausson, Hervé Blanc, Lionel Frangeul, Gaël Cristofari, Nicolas Vodovar, Christophe Antoniewski, Ronald P. van Rij, Michel Tassetto and Raul Andino and has published in prestigious journals such as Nature, Nature Communications and Nature Immunology.

In The Last Decade

Bertsy Goić

9 papers receiving 888 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Bertsy Goić France	9	440	369	329	279	278	9	895
Mark Kunitomi United States	9	313 0.7×	399 1.1×	229 0.7×	210 0.8×	230 0.8×	16	848
Sarah H. Merkling France	13	426 1.0×	264 0.7×	374 1.1×	195 0.7×	176 0.6×	21	853
Elaine M. Morazzani United States	11	313 0.7×	281 0.8×	389 1.2×	124 0.4×	172 0.6×	13	726
Bassam Berry France	9	504 1.1×	630 1.7×	282 0.9×	372 1.3×	573 2.1×	9	1.4k
Ryan C. Smith United States	21	536 1.2×	260 0.7×	723 2.2×	493 1.8×	135 0.5×	56	1.3k
Neil F. Lobo United States	19	251 0.6×	328 0.9×	799 2.4×	122 0.4×	250 0.9×	34	1.1k
Alan Basset United States	12	702 1.6×	324 0.9×	269 0.8×	676 2.4×	125 0.4×	14	1.4k
Andréa Cristina Fogaça Brazil	19	439 1.0×	242 0.7×	146 0.4×	298 1.1×	105 0.4×	34	1.0k
Maurício Roberto Viana Sant’Anna Brazil	19	542 1.2×	215 0.6×	467 1.4×	195 0.7×	96 0.3×	50	989
Markus H. Beck United States	18	876 2.0×	348 0.9×	129 0.4×	403 1.4×	419 1.5×	22	1.2k

Countries citing papers authored by Bertsy Goić

Since Specialization

Citations

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

Fields of papers citing papers by Bertsy Goić

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bertsy Goić

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

All Works

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9 of 9 papers shown

Poirier, Enzo Z., Bertsy Goić, Lorena Tomé-Poderti, et al.. (2018). Dicer-2-Dependent Generation of Viral DNA from Defective Genomes of RNA Viruses Modulates Antiviral Immunity in Insects. Cell Host & Microbe. 23(3). 353–365.e8. 121 indexed citations

Karlikow, Margot, Bertsy Goić, Vanesa Mongelli, et al.. (2016). Drosophila cells use nanotube-like structures to transfer dsRNA and RNAi machinery between cells. Scientific Reports. 6(1). 27085–27085. 34 indexed citations

Goić, Bertsy, Kenneth A. Stapleford, Lionel Frangeul, et al.. (2016). Virus-derived DNA drives mosquito vector tolerance to arboviral infection. Nature Communications. 7(1). 12410–12410. 163 indexed citations

Goić, Bertsy, Nicolas Vodovar, Juan A. Mondotte, et al.. (2013). RNA-mediated interference and reverse transcription control the persistence of RNA viruses in the insect model Drosophila. Nature Immunology. 14(4). 396–403. 202 indexed citations

Karlikow, Margot, Bertsy Goić, & Maria‐Carla Saleh. (2013). RNAi and antiviral defense in Drosophila: Setting up a systemic immune response. Developmental & Comparative Immunology. 42(1). 85–92. 58 indexed citations

Goić, Bertsy & Maria‐Carla Saleh. (2012). Living with the enemy: viral persistent infections from a friendly viewpoint. Current Opinion in Microbiology. 15(4). 531–537. 48 indexed citations

Vodovar, Nicolas, Bertsy Goić, Hervé Blanc, & Maria‐Carla Saleh. (2011). In Silico Reconstruction of Viral Genomes from Small RNAs Improves Virus-Derived Small Interfering RNA Profiling. Journal of Virology. 85(21). 11016–11021. 42 indexed citations

Saleh, Maria‐Carla, Michel Tassetto, Ronald P. van Rij, et al.. (2009). Antiviral immunity in Drosophila requires systemic RNA interference spread. Nature. 458(7236). 346–350. 212 indexed citations

Goić, Bertsy, Juanita Bustamante, Marco Álvarez, et al.. (2008). The nucleoprotein and the viral RNA of infectious salmon anemia virus (ISAV) are localized in the nucleolus of infected cells. Virology. 379(1). 55–63. 15 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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