Guido Cordoni

723 total citations
12 papers, 521 citations indexed

About

Guido Cordoni is a scholar working on Ecology, Evolution, Behavior and Systematics, Insect Science and Artificial Intelligence. According to data from OpenAlex, Guido Cordoni has authored 12 papers receiving a total of 521 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Ecology, Evolution, Behavior and Systematics, 4 papers in Insect Science and 3 papers in Artificial Intelligence. Recurrent topics in Guido Cordoni's work include Plant and animal studies (4 papers), Insect and Pesticide Research (4 papers) and Language and cultural evolution (3 papers). Guido Cordoni is often cited by papers focused on Plant and animal studies (4 papers), Insect and Pesticide Research (4 papers) and Language and cultural evolution (3 papers). Guido Cordoni collaborates with scholars based in United Kingdom, Italy and France. Guido Cordoni's co-authors include Giles E. Budge, Joachim R. de Miranda, Roberto M. La Ragione, Huihai Wu, Martin J. Woodward, T. S. Wallis, Barbara Locke, Don Stoltz, B. V. Ball and Peter Neumann and has published in prestigious journals such as Scientific Reports, Journal of General Virology and BMC Genomics.

In The Last Decade

Guido Cordoni

11 papers receiving 503 citations

Peers

Guido Cordoni

IS

GENET

EEBS

ENDOC

FS

Aleksey Jironkin United Kingdom

J Hinnebusch United States

Christine B. Graham United States

Gabrielle Dietrich United States

Mbunkah Daniel Achukwi Cameroon

Sheila M. Dreher‐Lesnick United States

B. Ask Denmark

Fernanda Simone Marks Brazil

Birthe Hald Denmark

Pia U. Olafson United States

Aleksey Jironkin United Kingdom

Guido Cordoni

200 ×0.5

IS

124 ×0.4

GENET

132 ×0.4

EEBS

67 ×1.0

ENDOC

87 ×1.5

FS

Citations per year, relative to Guido Cordoni Guido Cordoni (= 1×) peers Aleksey Jironkin

Countries citing papers authored by Guido Cordoni

Since Specialization

Citations

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

Fields of papers citing papers by Guido Cordoni

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guido Cordoni

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

All Works

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12 of 12 papers shown

1.

Kempf, Florent, Guido Cordoni, Anne‐Marie Chaussé, et al.. (2023). Inflammatory Responses Induced by the Monophasic Variant of Salmonella Typhimurium in Pigs Play a Role in the High Shedder Phenotype and Fecal Microbiota Composition. mSystems. 8(1). e0085222–e0085222. 12 indexed citations

2.

Fortes, Gloria G., Emiliano Trucchi, Guido Cordoni, et al.. (2020). More Rule than Exception: Parallel Evidence of Ancient Migrations in Grammars and Genomes of Finno-Ugric Speakers. Genes. 11(12). 1491–1491. 5 indexed citations

3.

Guardiano, Cristina, et al.. (2018). Parametric comparison and dialect variation. Insights from Southern Italy. 103–133. 2 indexed citations

4.

Kazakov, Dimitar, et al.. (2018). Learning implicational models of universal grammar parameters. 3 indexed citations

5.

Kazakov, Dimitar, et al.. (2017). Machine Learning Models of Universal Grammar Parameter Dependencies. White Rose Research Online (University of Leeds, The University of Sheffield, University of York). 31–37.

6.

Mainda, Geoffrey, Paul R. Bessell, John Bwalya Muma, et al.. (2016). Phylogenomic approaches to determine the zoonotic potential of Shiga toxin-producing Escherichia coli (STEC) isolated from Zambian dairy cattle. Scientific Reports. 6(1). 26589–26589. 11 indexed citations

7.

Cordoni, Guido, et al.. (2016). Comparative genomics of European avian pathogenic E. Coli (APEC). BMC Genomics. 17(1). 960–960. 64 indexed citations

8.

Cordoni, Guido, A. Williams, Andy E. Durham, et al.. (2015). Rapid diagnosis of strangles (Streptococcus equi subspecies equi) using PCR. Research in Veterinary Science. 102. 162–166. 26 indexed citations

9.

Miranda, Joachim R. de, Benjamin Dainat, Barbara Locke, et al.. (2010). Genetic characterization of slow bee paralysis virus of the honeybee (Apis mellifera L.). Journal of General Virology. 91(10). 2524–2530. 72 indexed citations

10.

Marris, Gay C., Giles E. Budge, Lynn Laurenson, et al.. (2010). First molecular detection of a viral pathogen in Ugandan honey bees. Journal of Invertebrate Pathology. 104(2). 153–156. 37 indexed citations

11.

Cordoni, Guido, et al.. (2010). Development of an experimental geographic information system for bee-keeping in the Marche region of Italy.. PubMed. 43(3). 431–6. 4 indexed citations

12.

Miranda, Joachim R. de, Guido Cordoni, & Giles E. Budge. (2009). The Acute bee paralysis virus–Kashmir bee virus–Israeli acute paralysis virus complex. Journal of Invertebrate Pathology. 103. S30–S47. 285 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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