Isabella Monne

6.7k total citations · 2 hit papers
127 papers, 3.9k citations indexed

About

Isabella Monne is a scholar working on Epidemiology, Infectious Diseases and Agronomy and Crop Science. According to data from OpenAlex, Isabella Monne has authored 127 papers receiving a total of 3.9k indexed citations (citations by other indexed papers that have themselves been cited), including 94 papers in Epidemiology, 80 papers in Infectious Diseases and 68 papers in Agronomy and Crop Science. Recurrent topics in Isabella Monne's work include Influenza Virus Research Studies (79 papers), Animal Disease Management and Epidemiology (68 papers) and Viral gastroenteritis research and epidemiology (50 papers). Isabella Monne is often cited by papers focused on Influenza Virus Research Studies (79 papers), Animal Disease Management and Epidemiology (68 papers) and Viral gastroenteritis research and epidemiology (50 papers). Isabella Monne collaborates with scholars based in Italy, United States and United Kingdom. Isabella Monne's co-authors include Giovanni Cattoli, Alice Fusaro, Ilaria Capua, Edward C. Holmes, Viviana Valastro, Calogero Terregino, Annalisa Salviato, Bianca Zecchin, Paul Britton and Mark W. Jackwood and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and Bioinformatics.

In The Last Decade

Isabella Monne

126 papers receiving 3.8k citations

Hit Papers

S1 gene-based phylogeny of infectious bronchitis virus: A... 2016 2026 2019 2022 2016 2023 100 200 300

Peers

Isabella Monne
Darrell R. Kapczynski United States
Guus Koch Netherlands
Mary Lea Killian United States
Adama Diallo Austria
T.M. Ellis Australia
Isabella Monne
Citations per year, relative to Isabella Monne Isabella Monne (= 1×) peers Alice Fusaro

Countries citing papers authored by Isabella Monne

Since Specialization
Citations

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

Fields of papers citing papers by Isabella Monne

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Isabella Monne

This figure shows the co-authorship network connecting the top 25 collaborators of Isabella Monne. A scholar is included among the top collaborators of Isabella Monne 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 Isabella Monne. Isabella Monne 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.
Giussani, Edoardo, Angela Salomoni, Cristian De Battisti, et al.. (2025). FluMut: a tool for mutation surveillance in highly pathogenic H5N1 genomes. Virus Evolution. 11(1). veaf011–veaf011. 4 indexed citations
2.
Fusaro, Alice, Juan Pu, Yong Zhou, et al.. (2024). Proposal for a Global Classification and Nomenclature System for A/H9 Influenza Viruses. Emerging infectious diseases. 30(8). 1–13. 14 indexed citations
3.
Hiono, Takahiro, Isabella Monne, S Okamura, et al.. (2024). Cocirculation of Genetically Distinct Highly Pathogenic Avian Influenza H5N5 and H5N1 Viruses in Crows, Hokkaido, Japan. Emerging infectious diseases. 30(9). 1912–1917. 1 indexed citations
4.
Pastori, Ambra, et al.. (2024). H7N6 highly pathogenic avian influenza in Mozambique, 2023. Emerging Microbes & Infections. 13(1). 2321993–2321993. 5 indexed citations
5.
Melidou, Angeliki, Theresa Enkirch, Katriina Willgert, et al.. (2024). Drivers for a pandemic due to avian influenza and options for One Health mitigation measures. EFSA Journal. 22(4). e8735–e8735. 25 indexed citations
6.
Kammon, Abdulwahab, et al.. (2024). Molecular characterization of Newcastle disease virus (AOAV-1) obtained from Western region of Libya. Open Veterinary Journal. 14(9). 2453–2453.
7.
8.
Mulatti, Paolo, Matteo Mazzucato, William T. Harvey, et al.. (2020). Different environmental gradients associated to the spatiotemporal and genetic pattern of the H5N8 highly pathogenic avian influenza outbreaks in poultry in Italy. Transboundary and Emerging Diseases. 68(1). 152–167. 10 indexed citations
9.
Chiapponi, Chiara, Silvia Faccini, Alice Fusaro, et al.. (2019). Detection of a New Genetic Cluster of Influenza D Virus in Italian Cattle. Viruses. 11(12). 1110–1110. 27 indexed citations
10.
Dellicour, Simon, Philippe Lemey, Jean Artois, et al.. (2019). Incorporating heterogeneous sampling probabilities in continuous phylogeographic inference — Application to H5N1 spread in the Mekong region. Bioinformatics. 36(7). 2098–2104. 16 indexed citations
11.
Harvey, William T., Paolo Mulatti, Alice Fusaro, et al.. (2019). Spatiotemporal reconstruction and transmission dynamics during the 2016–17 H5N8 highly pathogenic avian influenza epidemic in Italy. Transboundary and Emerging Diseases. 68(1). 37–50. 9 indexed citations
12.
Okamatsu, Masatoshi, Justin Masumu, Lam Thanh Nguyen, et al.. (2019). Molecular, antigenic, and pathogenic characterization of H5N8 highly pathogenic avian influenza viruses isolated in the Democratic Republic of Congo in 2017. Archives of Virology. 165(1). 87–96. 5 indexed citations
13.
Mulatti, Paolo, Alice Fusaro, Bianca Zecchin, et al.. (2018). Integration of genetic and epidemiological data to infer H5N8 HPAI virus transmission dynamics during the 2016-2017 epidemic in Italy. Scientific Reports. 8(1). 18037–18037. 21 indexed citations
14.
Mughini‐Gras, Lapo, Giorgia Angeloni, Cristiano Salata, et al.. (2017). Hepatitis E virus infection in North Italy: high seroprevalence in swine herds and increased risk for swine workers. Epidemiology and Infection. 145(16). 3375–3384. 28 indexed citations
15.
Richard, Mathilde, et al.. (2017). Mechanisms and risk factors for mutation from low to highly pathogenic avian influenza virus. EFSA Supporting Publications. 14(10). 30 indexed citations
16.
Milani, Adelaide, Alice Fusaro, Francesco Bonfante, et al.. (2017). Vaccine immune pressure influences viral population complexity of avian influenza virus during infection. Veterinary Microbiology. 203. 88–94. 8 indexed citations
17.
Fusaro, Alice, Luca Tassoni, Adelaide Milani, et al.. (2016). Unexpected Interfarm Transmission Dynamics during a Highly Pathogenic Avian Influenza Epidemic. Journal of Virology. 90(14). 6401–6411. 15 indexed citations
18.
Naguib, Mahmoud M., Dirk W. Höper, Abdel-Satar Arafa, et al.. (2016). Full genome sequence analysis of a newly emerged QX-like infectious bronchitis virus from Sudan reveals distinct spots of recombination. Infection Genetics and Evolution. 46. 42–49. 22 indexed citations
19.
Cattoli, Giovanni, Isabella Monne, Alice Fusaro, et al.. (2009). Highly Pathogenic Avian Influenza Virus Subtype H5N1 in Africa: A Comprehensive Phylogenetic Analysis and Molecular Characterization of Isolates. PLoS ONE. 4(3). e4842–e4842. 92 indexed citations
20.
Gaidet, Nicolas, Giovanni Cattoli, Saliha Hammoumi, et al.. (2008). Evidence of Infection by H5N2 Highly Pathogenic Avian Influenza Viruses in Healthy Wild Waterfowl. PLoS Pathogens. 4(8). e1000127–e1000127. 102 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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