Francesca Abramo

311 total papers · 3.6k total citations
142 papers, 2.7k citations indexed

About

Francesca Abramo is a scholar working on Pulmonary and Respiratory Medicine, Epidemiology and Small Animals. According to data from OpenAlex, Francesca Abramo has authored 142 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Pulmonary and Respiratory Medicine, 29 papers in Epidemiology and 26 papers in Small Animals. Recurrent topics in Francesca Abramo's work include Veterinary Oncology Research (29 papers), Virus-based gene therapy research (15 papers) and Infectious Diseases and Mycology (14 papers). Francesca Abramo is often cited by papers focused on Veterinary Oncology Research (29 papers), Virus-based gene therapy research (15 papers) and Infectious Diseases and Mycology (14 papers). Francesca Abramo collaborates with scholars based in Italy, United Kingdom and Switzerland. Francesca Abramo's co-authors include Alessandro Poli, Vincenzo Miragliotta, Michela Gregori, Daniela Pieraccini, Luigi Intorre, Gianfranca Monni, Carlo Pretti, Cinzia Chiappe, Francesco Albanese and Francesca Mancianti and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Endocrinology.

In The Last Decade

Francesca Abramo

136 papers receiving 2.6k citations

Author Peers

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

Author Last Decade Papers Cites
Francesca Abramo 465 413 338 328 301 142 2.7k
Hiroyuki Matsuoka 286 0.6× 318 0.8× 1.2k 3.5× 77 0.2× 301 1.0× 235 4.5k
Thomas M. Murphy 139 0.3× 416 1.0× 286 0.8× 116 0.4× 60 0.2× 120 2.6k
Mehrdad Mohri 89 0.2× 124 0.3× 245 0.7× 544 1.7× 315 1.0× 185 2.5k
Barbara J. Smith 251 0.5× 66 0.2× 963 2.8× 210 0.6× 81 0.3× 154 3.3k
Joachim Geyer 502 1.1× 58 0.1× 572 1.7× 110 0.3× 325 1.1× 107 2.3k
Heather L. Wilson 273 0.6× 71 0.2× 970 2.9× 115 0.4× 440 1.5× 123 2.9k
Richard B. Davis 203 0.4× 163 0.4× 204 0.6× 99 0.3× 105 0.3× 107 2.2k
Akira Ishii 147 0.3× 286 0.7× 536 1.6× 126 0.4× 108 0.4× 155 2.5k
Zhiwen Xu 400 0.9× 77 0.2× 854 2.5× 15 0.0× 363 1.2× 229 2.9k
Hiroki Sakai 168 0.4× 552 1.3× 547 1.6× 196 0.6× 231 0.8× 242 2.1k

Countries citing papers authored by Francesca Abramo

Since Specialization
Citations

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

Fields of papers citing papers by Francesca Abramo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Francesca Abramo

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