Barbara Bartolini

2.4k citations
47 papers · 736 · h-index 17

Impact in

  • Virology top 5%
    • HIV Research and Treatment
    • SARS-CoV-2 and COVID-19 Research
    • HIV/AIDS drug development and treatment
    • COVID-19 Clinical Research Studies

Papers in

Barbara Bartolini

45 papers receiving 727 citations

Peers

Barbara Bartolini
Comparison fields: 5 of 83
  • Virology 140
  • Infectious Diseases 382
  • Hepatology 123
  • Epidemiology 205
  • Molecular Biology 238
Replace Zhigang Yi with:
Zhigang Yi China
Xiaowang Qu China
Jana L. Jacobs United States
Yonggang Li China
Timokratis Karamitros Greece
Gokul Swaminathan United States
Jingyou Yu United States
Wim Trypsteen Belgium
Kinga K. Smolen United States
Andrea L. Cathcart United States
Barbara Bartolini relative to Zhigang Yi China Zhigang Yi's profile →
Citations per field
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Zhigang Yi · 1×
Citations per year

Countries citing papers authored by Barbara Bartolini

Since Specialization
Citations

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

Fields of papers citing papers by Barbara Bartolini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202066
2 201662
3 202161
4 201846
5 202137
6 201036
7 202035
8 201030
9 201230
10 201930
11 201127
12 200924
13 202022
14 201317
15 201317
16 202317
17 200916
18 201113
19 199912
20 201511

About Barbara Bartolini

Barbara Bartolini is a scholar working on Infectious Diseases, Molecular Biology, Epidemiology, Virology and Hepatology, having authored 47 papers that have together received 736 indexed citations. Recurring topics across this work include HIV Research and Treatment (13 papers), Hepatitis C virus research (10 papers), HIV/AIDS drug development and treatment (9 papers), Hepatitis B Virus Studies (5 papers), SARS-CoV-2 and COVID-19 Research (5 papers), vaccines and immunoinformatics approaches (5 papers), Respiratory viral infections research (4 papers) and Bacteriophages and microbial interactions (4 papers). The work is most often cited by research in Virology (140 citations), Infectious Diseases (382 citations), Hepatology (123 citations), Epidemiology (205 citations) and Molecular Biology (238 citations). Barbara Bartolini has collaborated with scholars based in Italy, United States and United Kingdom. Frequent co-authors include Maria Rosaria Capobianchi, Giuseppe Ippolito, Emanuela Giombini, Gabriella Rozera, Isabella Abbate, Antonino Di, Cesare Ernesto Maria Gruber, Emanuele Nicastri, Martina Rueca and Mauro Pistello. Their work appears in journals such as Clinical Microbiology and Infection, Viruses, Journal of Clinical Virology, Virus Research and Tropical Medicine and Infectious Disease.

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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