Erika Bartolini

2.8k citations
27 papers · 909 · h-index 14

Impact in

  • Microbiology top 0.5%
    • Bacterial Infections and Vaccines
    • Reproductive tract infections research
    • Escherichia coli research studies

Papers in

Erika Bartolini

27 papers receiving 877 citations

Peers

Erika Bartolini
Comparison fields: 5 of 89
  • Microbiology 485
  • Endocrinology 91
  • Molecular Medicine 52
  • Epidemiology 283
  • Infectious Diseases 127
Replace Neil J. Oldfield with:
Neil J. Oldfield United Kingdom
Ian R. A. Peak Australia
Deborah M. B. Post United States
Bidong D. Nguyen Switzerland
Cindy Grove Arvidson United States
Stuart A. Hill United States
Peter M. Power Australia
Peter Burghout Netherlands
Christian Rüter Germany
Alfredo Pezzicoli Italy
Erika Bartolini relative to Neil J. Oldfield United Kingdom Neil J. Oldfield's profile →
Citations per field
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Neil J. Oldfield · 1×
Citations per year

Countries citing papers authored by Erika Bartolini

Since Specialization
Citations

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

Fields of papers citing papers by Erika Bartolini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002169
2 2003167
3 201398
4 200260
5 201160
6 200654
7 200652
8 200445
9 200927
10 201526
11 202123
12 201815
13 200814
14 202314
15 201612
16 202012
17 202210
18 20199
19 20218
20 20187

About Erika Bartolini

Erika Bartolini is a scholar working on Microbiology, Endocrinology, Epidemiology, Infectious Diseases and Immunology, having authored 27 papers that have together received 909 indexed citations. Recurring topics across this work include Bacterial Infections and Vaccines (19 papers), Pneumonia and Respiratory Infections (6 papers), Escherichia coli research studies (4 papers), Bacterial Genetics and Biotechnology (4 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Bacteriophages and microbial interactions (3 papers), RNA and protein synthesis mechanisms (3 papers) and Immune Response and Inflammation (3 papers). The work is most often cited by research in Microbiology (485 citations), Endocrinology (91 citations), Molecular Medicine (52 citations), Epidemiology (283 citations) and Infectious Diseases (127 citations). Erika Bartolini has collaborated with scholars based in Italy, United States and United Kingdom. Frequent co-authors include Renata Grifantini, Elisabetta Frigimelica, Rino Rappuoli, Alessandro Muzzi, Monia Draghi, G. Galli, Caroline Attardo Genco, Shite Sebastian, Roberto Petracca and Isabel Delany. Their work appears in journals such as The FASEB Journal, Vaccines, Vaccine, Frontiers in Immunology and Molecular Microbiology.

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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