Jon Sicilia

16 total papers · 792 total citations
7 papers, 85 citations indexed

About

Jon Sicilia is a scholar working on Infectious Diseases, Molecular Biology and Epidemiology. According to data from OpenAlex, Jon Sicilia has authored 7 papers receiving a total of 85 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Infectious Diseases, 3 papers in Molecular Biology and 2 papers in Epidemiology. Recurrent topics in Jon Sicilia's work include SARS-CoV-2 and COVID-19 Research (2 papers), Immune cells in cancer (2 papers) and Cell Image Analysis Techniques (2 papers). Jon Sicilia is often cited by papers focused on SARS-CoV-2 and COVID-19 Research (2 papers), Immune cells in cancer (2 papers) and Cell Image Analysis Techniques (2 papers). Jon Sicilia collaborates with scholars based in Spain, United States and Belgium. Jon Sicilia's co-authors include Andrés Hidalgo, Miguel Palomino‐Segura, Iván Ballesteros, Patricia Muñóz, Iván González-Díaz, Fernando Díaz-de-María, Marta Herránz, Georgiana Crainiciuc, Laura Pérez‐Lago and Darı́o Garcı́a de Viedma and has published in prestigious journals such as Nature Immunology, Medical Image Analysis and Nature Biomedical Engineering.

In The Last Decade

Jon Sicilia

6 papers receiving 84 citations

Author Peers

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

Author Last Decade Papers Cites
Jon Sicilia 54 21 16 11 10 7 85
Ana Maria Van Den Rym 49 0.9× 24 1.1× 14 0.9× 11 1.0× 12 1.2× 7 101
Sarah K. Wideman 45 0.8× 23 1.1× 12 0.8× 14 1.3× 4 0.4× 6 117
Alexandria J. Sturtz 69 1.3× 14 0.7× 12 0.8× 8 0.7× 10 1.0× 5 101
Kevin Jhun 49 0.9× 19 0.9× 10 0.6× 12 1.1× 13 1.3× 6 96
J Pasternak 80 1.5× 27 1.3× 23 1.4× 20 1.8× 14 1.4× 6 125
Samuel D. Chauvin 63 1.2× 30 1.4× 19 1.2× 11 1.0× 11 1.1× 6 100
Kieu T. T. Le 26 0.5× 39 1.9× 14 0.9× 26 2.4× 10 1.0× 8 112
Y Rose 34 0.6× 31 1.5× 9 0.6× 11 1.0× 11 1.1× 9 62
Leila Godfrey 62 1.1× 22 1.0× 13 0.8× 10 0.9× 19 1.9× 6 104
Lucie Y. Zhu 44 0.8× 28 1.3× 11 0.7× 12 1.1× 3 0.3× 6 81

Countries citing papers authored by Jon Sicilia

Since Specialization
Citations

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

Fields of papers citing papers by Jon Sicilia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jon Sicilia

This figure shows the co-authorship network connecting the top 25 collaborators of Jon Sicilia. A scholar is included among the top collaborators of Jon Sicilia 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 Jon Sicilia. Jon Sicilia 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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