Rita V. M. Rio

2.1k total citations
37 papers, 1.2k citations indexed

About

Rita V. M. Rio is a scholar working on Insect Science, Epidemiology and Pharmacology. According to data from OpenAlex, Rita V. M. Rio has authored 37 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Insect Science, 11 papers in Epidemiology and 7 papers in Pharmacology. Recurrent topics in Rita V. M. Rio's work include Insect symbiosis and bacterial influences (26 papers), Insect and Pesticide Research (12 papers) and Trypanosoma species research and implications (9 papers). Rita V. M. Rio is often cited by papers focused on Insect symbiosis and bacterial influences (26 papers), Insect and Pesticide Research (12 papers) and Trypanosoma species research and implications (9 papers). Rita V. M. Rio collaborates with scholars based in United States, France and Japan. Rita V. M. Rio's co-authors include Serap Aksoy, Annа K. Snyder, Joerg Graf, Brian L. Weiss, Geoffrey M. Attardo, Yineng Wu, Yoshitomo Kikuchi, Youjia Hu, Laura J. Runyen-Janecky and Giovanni Filardo and has published in prestigious journals such as PLoS ONE, Applied and Environmental Microbiology and Scientific Reports.

In The Last Decade

Rita V. M. Rio

35 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rita V. M. Rio United States 20 846 232 216 171 142 37 1.2k
Peter Takáč Slovakia 21 777 0.9× 192 0.8× 212 1.0× 173 1.0× 220 1.5× 49 1.3k
Gabriela O. Paiva‐Silva Brazil 23 660 0.8× 218 0.9× 395 1.8× 487 2.8× 125 0.9× 39 1.4k
Nadeeza Ishmael United States 9 355 0.4× 78 0.3× 399 1.8× 121 0.7× 110 0.8× 9 982
Glória Regina Cardoso Braz Brazil 16 461 0.5× 204 0.9× 293 1.4× 262 1.5× 74 0.5× 30 995
Huifang Guo China 20 841 1.0× 59 0.3× 321 1.5× 118 0.7× 231 1.6× 81 1.4k
Leyla Akman United States 6 427 0.5× 129 0.6× 180 0.8× 136 0.8× 147 1.0× 7 714
Xingmeng Lu China 19 865 1.0× 62 0.3× 326 1.5× 79 0.5× 162 1.1× 40 1.3k
Shivani Pasricha Australia 13 285 0.3× 96 0.4× 457 2.1× 45 0.3× 117 0.8× 31 885
Yineng Wu United States 17 1.0k 1.2× 401 1.7× 169 0.8× 331 1.9× 103 0.7× 22 1.2k
Héctor Díaz-Albiter United Kingdom 16 338 0.4× 328 1.4× 138 0.6× 409 2.4× 46 0.3× 25 785

Countries citing papers authored by Rita V. M. Rio

Since Specialization
Citations

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

Fields of papers citing papers by Rita V. M. Rio

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Rita V. M. Rio. 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 Rita V. M. Rio. The network helps show where Rita V. M. Rio may publish in the future.

Co-authorship network of co-authors of Rita V. M. Rio

This figure shows the co-authorship network connecting the top 25 collaborators of Rita V. M. Rio. A scholar is included among the top collaborators of Rita V. M. Rio 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 Rita V. M. Rio. Rita V. M. Rio 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.
Morris, R. A. H., et al.. (2025). mir-31 mediated control of bacteriome size in tsetse flies. PubMed. 8. 100117–100117.
2.
Hu, Gangqing, et al.. (2023). Symbiosis preservation: Putative regulation of fatty acyl-CoA reductase by miR-31a within the symbiont harboring bacteriome through tsetse evolution. Frontiers in Microbiology. 14. 1151319–1151319. 1 indexed citations
3.
Weiss, Brian L., Rita V. M. Rio, & Serap Aksoy. (2022). Microbe Profile: Wigglesworthia glossinidia: the tsetse fly’s significant other. Microbiology. 168(9). 4 indexed citations
4.
Rio, Rita V. M., et al.. (2021). The holobiont transcriptome of teneral tsetse fly species of varying vector competence. BMC Genomics. 22(1). 400–400. 3 indexed citations
5.
Enomoto, Shinichiro, et al.. (2020). Quorum sensing sets the stage for the establishment and vertical transmission of Sodalis praecaptivus in tsetse flies. PLoS Genetics. 16(8). e1008992–e1008992. 14 indexed citations
6.
Macias, Angie M., Paul E. Marek, Ember M. Morrissey, et al.. (2019). Diversity and function of fungi associated with the fungivorous millipede, Brachycybe lecontii. Fungal ecology. 41. 187–197. 17 indexed citations
7.
Rio, Rita V. M.. (2017). Don’t Bite the Hand that Feeds You. Cell Host & Microbe. 21(5). 552–554. 2 indexed citations
8.
Dacks, Andrew M., et al.. (2016). A Tale of Transmission: Aeromonas veronii Activity within Leech-Exuded Mucus. Applied and Environmental Microbiology. 82(9). 2644–2655. 9 indexed citations
9.
Rio, Rita V. M., Geoffrey M. Attardo, & Brian L. Weiss. (2016). Grandeur Alliances: Symbiont Metabolic Integration and Obligate Arthropod Hematophagy. Trends in Parasitology. 32(9). 739–749. 88 indexed citations
10.
Choi, Soo Jeon, Annа K. Snyder, Rita V. M. Rio, et al.. (2015). A Unique Set of the Burkholderia Collagen-Like Proteins Provides Insight into Pathogenesis, Genome Evolution and Niche Adaptation, and Infection Detection. PLoS ONE. 10(9). e0137578–e0137578. 23 indexed citations
11.
Rio, Rita V. M., et al.. (2015). Characterization of shed medicinal leech mucus reveals a diverse microbiota. Frontiers in Microbiology. 5. 757–757. 15 indexed citations
12.
Västermark, Åke, et al.. (2014). Expansion of the APC superfamily of secondary carriers. Proteins Structure Function and Bioinformatics. 82(10). 2797–2811. 60 indexed citations
13.
14.
Snyder, Annа K., et al.. (2011). The phylogeny of Sodalis-like symbionts as reconstructed using surface-encoding loci. FEMS Microbiology Letters. 317(2). 143–151. 27 indexed citations
15.
Hu, Changyun, Rita V. M. Rio, Jan Medlock, et al.. (2008). Infections with Immunogenic Trypanosomes Reduce Tsetse Reproductive Fitness: Potential Impact of Different Parasite Strains on Vector Population Structure. PLoS neglected tropical diseases. 2(3). e192–e192. 34 indexed citations
16.
Graf, Joerg, Yoshitomo Kikuchi, & Rita V. M. Rio. (2006). Leeches and their microbiota: naturally simple symbiosis models. Trends in Microbiology. 14(8). 365–371. 91 indexed citations
17.
Aksoy, Serap & Rita V. M. Rio. (2005). Interactions among multiple genomes: Tsetse, its symbionts and trypanosomes. Insect Biochemistry and Molecular Biology. 35(7). 691–698. 48 indexed citations
18.
Rio, Rita V. M., Youjia Hu, & Serap Aksoy. (2004). Strategies of the home-team: symbioses exploited for vector-borne disease control. Trends in Microbiology. 12(7). 325–336. 80 indexed citations
19.
Akman, Leyla, Rita V. M. Rio, Charles B. Beard, & Serap Aksoy. (2001). Genome Size Determination and Coding Capacity of Sodalis glossinidius , an Enteric Symbiont of Tsetse Flies, as Revealed by Hybridization to Escherichia coli Gene Arrays. Journal of Bacteriology. 183(15). 4517–4525. 40 indexed citations
20.
Rio, Rita V. M. & E. Alan Cameron. (2000). Heterorhabditis bacteriophora: Seasonal Dynamics and Distribution in a Stand of Sugar Maple, Acer saccharum. Journal of Invertebrate Pathology. 75(1). 36–40. 8 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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