E. Falcone

45 papers receiving 1.3k citations

Peers

E. Falcone
Comparison fields: 5 of 101
  • Aging 213
  • Agronomy and Crop Science 230
  • Infectious Diseases 385
  • Animal Science and Zoology 161
  • Clinical Biochemistry 88
Replace Joan Wilson with:
Joan Wilson United States
Amanda A. Adams United States
Nadia Storm United States
Takashi Irie Japan
Silvia Dei Giudici Italy
Christian Cobbold United Kingdom
Carole R. Baskin United States
Donald E. Riley United States
Axel Ladhoff Germany
Bernard S. Wostmann United States
E. Falcone relative to Joan Wilson United States Joan Wilson's profile →
Citations per field
00.5×10×16.4×
Joan Wilson · 1×
Citations per year

Countries citing papers authored by E. Falcone

Since Specialization
Citations

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

Fields of papers citing papers by E. Falcone

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside E. Falcone, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with E. Falcone Line = papers co-authored together E. Falcone links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999303
2 2010109
3 199899
4 201784
5 199976
6 200563
7 201760
8 199756
9 199853
10 201050
11 200740
12 200328
13 200327
14 201027
15 199726
16 198726
17 198518
18 199718
19
DYS19, D12S67, and D1S80 polymorphisms in population samples from southern Italy and Greece.
199518
20 200313

About E. Falcone

E. Falcone is a scholar working on Infectious Diseases, Molecular Biology, Agronomy and Crop Science, Cancer Research and Epidemiology, having authored 45 papers that have together received 1.3k indexed citations. Recurring topics across this work include Viral gastroenteritis research and epidemiology (12 papers), Animal Disease Management and Epidemiology (10 papers), Carcinogens and Genotoxicity Assessment (10 papers), Influenza Virus Research Studies (6 papers), Vector-Borne Animal Diseases (5 papers), Genetic Associations and Epidemiology (4 papers), Animal Virus Infections Studies (4 papers) and Forensic and Genetic Research (3 papers). The work is most often cited by research in Aging (213 citations), Agronomy and Crop Science (230 citations), Infectious Diseases (385 citations), Animal Science and Zoology (161 citations) and Clinical Biochemistry (88 citations). E. Falcone has collaborated with scholars based in Italy, United States and Germany. Frequent co-authors include Giuseppina Rose, Claudio Franceschi, G. De Benedictis, Livia Di Trani, Paolo Cordioli, María De Luca, Giuseppina Carrieri, Massimiliano Bonafè, Daniela Mari and Stefano Bertolini. Their work appears in journals such as Veterinary Research Communications, Virology, Veterinary Microbiology, The FASEB Journal and Human Genetics.

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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