Florigio Lista

3.6k citations
96 papers · 2.3k · h-index 27

Impact in

Papers in

    • Bacillus and Francisella bacterial research 8
    • SARS-CoV-2 and COVID-19 Research 10
    • Viral Infections and Vectors 9
    • SARS-CoV-2 detection and testing 6

Florigio Lista

93 papers receiving 2.3k citations

Peers

Florigio Lista
Comparison fields: 5 of 142
  • Infectious Diseases 632
  • Molecular Medicine 98
  • Neurology 220
  • Molecular Biology 988
  • Microbiology 82
Replace Nam‐Hyuk Cho with:
Nam‐Hyuk Cho South Korea
Itai Benhar Israel
Seung‐Yong Seong South Korea
Julián Pardo Spain
Long Liu China
Anthony J. O’Donoghue United States
Nina M. van Sorge Netherlands
Maria Lerm Sweden
Shaowei Li China
Stefan Evers Switzerland
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Citations per field
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Citations per year

Countries citing papers authored by Florigio Lista

Since Specialization
Citations

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

Fields of papers citing papers by Florigio Lista

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Florigio Lista, 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 Florigio Lista Line = papers co-authored together Florigio Lista links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 96 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020355
2 2006129
3 202097
4 201482
5 202166
6 201365
7 201164
8 201860
9
Curcumin induces apoptosis in breast cancer cell lines and delays the growth of mammary tumors in neu transgenic mice.
201358
10 201858
11 201355
12 201753
13 201449
14 201347
15 202146
16 202142
17 201842
18 201140
19 202236
20 200735

About Florigio Lista

Florigio Lista is a scholar working on Molecular Biology, Infectious Diseases, Public Health, Environmental and Occupational Health, Epidemiology and Neurology, having authored 96 papers that have together received 2.3k indexed citations. Recurring topics across this work include Mosquito-borne diseases and control (11 papers), Botulinum Toxin and Related Neurological Disorders (11 papers), SARS-CoV-2 and COVID-19 Research (10 papers), Viral Infections and Vectors (9 papers), Bacillus and Francisella bacterial research (8 papers), Biosensors and Analytical Detection (7 papers), Carcinogens and Genotoxicity Assessment (7 papers) and SARS-CoV-2 detection and testing (6 papers). The work is most often cited by research in Infectious Diseases (632 citations), Molecular Medicine (98 citations), Neurology (220 citations), Molecular Biology (988 citations) and Microbiology (82 citations). Florigio Lista has collaborated with scholars based in Italy, United States and United Kingdom. Frequent co-authors include Giovanni Faggioni, Silvia Fillo, Riccardo De Santis, Fabiana Arduini, Andrea Ciammaruconi, Danila Moscone, Laura Fabiani, Marco Pirazzini, Cesare Montecucco and Elisa Regalbuto. Their work appears in journals such as BMC Microbiology, Biosensors and Bioelectronics, Scientific Reports, Radiation Research and Viruses.

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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