Laura Baioni

21 total papers · 541 total citations
17 papers, 310 citations indexed

About

Laura Baioni is a scholar working on Epidemiology, Infectious Diseases and Agronomy and Crop Science. According to data from OpenAlex, Laura Baioni has authored 17 papers receiving a total of 310 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Epidemiology, 9 papers in Infectious Diseases and 8 papers in Agronomy and Crop Science. Recurrent topics in Laura Baioni's work include Influenza Virus Research Studies (10 papers), Animal Disease Management and Epidemiology (8 papers) and Viral gastroenteritis research and epidemiology (7 papers). Laura Baioni is often cited by papers focused on Influenza Virus Research Studies (10 papers), Animal Disease Management and Epidemiology (8 papers) and Viral gastroenteritis research and epidemiology (7 papers). Laura Baioni collaborates with scholars based in Italy, Spain and United States. Laura Baioni's co-authors include Chiara Chiapponi, Ana Moreno, Emanuela Foni, Davide Lelli, Antonio Lavazza, Silvia Faccini, C. Rosignoli, Mattia Calzolari, Andrea Luppi and Stefano Pongolini and has published in prestigious journals such as PLoS ONE, Scientific Reports and Veterinary Microbiology.

In The Last Decade

Laura Baioni

17 papers receiving 304 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Laura Baioni 168 155 100 91 36 17 310
Il Jang 167 1.0× 183 1.2× 91 0.9× 59 0.6× 80 2.2× 20 335
F. J. Austin 124 0.7× 102 0.7× 43 0.4× 65 0.7× 47 1.3× 24 270
Maria Lucia Mandola 195 1.2× 97 0.6× 66 0.7× 75 0.8× 25 0.7× 23 339
Silvia Ormelli 185 1.1× 259 1.7× 186 1.9× 49 0.5× 60 1.7× 11 360
Ladawan Sariya 121 0.7× 109 0.7× 84 0.8× 36 0.4× 26 0.7× 31 324
Inma Aznar 171 1.0× 145 0.9× 180 1.8× 67 0.7× 26 0.7× 28 318
Heting Sun 175 1.0× 169 1.1× 84 0.8× 39 0.4× 51 1.4× 26 342
Nihat Toplu 106 0.6× 73 0.5× 127 1.3× 46 0.5× 50 1.4× 24 292
Bernard Vallat 143 0.9× 191 1.2× 211 2.1× 56 0.6× 48 1.3× 37 331
Yoshihito Kashiwazaki 82 0.5× 174 1.1× 119 1.2× 50 0.5× 30 0.8× 17 333

Countries citing papers authored by Laura Baioni

Since Specialization
Citations

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

Fields of papers citing papers by Laura Baioni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Laura Baioni

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

All Works

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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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