Francesca Boldrin

31 papers receiving 1.0k citations

Peers

Francesca Boldrin
Comparison fields: 5 of 78
  • Infectious Diseases 680
  • Molecular Medicine 153
  • Epidemiology 487
  • Molecular Biology 445
  • Endocrinology 27
Replace Zheng‐Guo He with:
Zheng‐Guo He China
S L Morris United States
Hélène Botella United States
Muthiah Kumaraswami United States
Randall S. MacGill United States
Jun-Rong Wei United States
Elena G. Salina Russia
Luis R. Camacho Singapore
Stephanie S. Dawes South Africa
Vijaya Kumar Yajjala United States
Francesca Boldrin relative to Zheng‐Guo He China Zheng‐Guo He's profile →
Citations per field
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Zheng‐Guo He · 1×
Citations per year

Countries citing papers authored by Francesca Boldrin

Since Specialization
Citations

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

Fields of papers citing papers by Francesca Boldrin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009163
2 2009108
3 201794
4 201781
5 201476
6 201071
7 201358
8 200244
9 202043
10 201442
11 201737
12 201034
13 201631
14 201731
15 201724
16 201917
17 202113
18 201912
19 201712
20 200911

About Francesca Boldrin

Francesca Boldrin is a scholar working on Infectious Diseases, Epidemiology, Molecular Biology, Molecular Medicine and Genetics, having authored 32 papers that have together received 1.1k indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (22 papers), Mycobacterium research and diagnosis (14 papers), Antibiotic Resistance in Bacteria (6 papers), Biochemical and Molecular Research (5 papers), Bacterial Genetics and Biotechnology (5 papers), Bacteriophages and microbial interactions (4 papers), Immune Cell Function and Interaction (3 papers) and T-cell and B-cell Immunology (2 papers). The work is most often cited by research in Infectious Diseases (680 citations), Molecular Medicine (153 citations), Epidemiology (487 citations), Molecular Biology (445 citations) and Endocrinology (27 citations). Francesca Boldrin has collaborated with scholars based in Italy, United States and Switzerland. Frequent co-authors include Riccardo Manganelli, Giorgio Palù, Agnese Serafini, Roberta Provvedi, Stewart T. Cole, Giulia Degiacomi, Francesco Falciani, Claudia Sala, Neeraj Dhar and Marcello Ventura. Their work appears in journals such as Journal of Bacteriology, Scientific Reports, Frontiers in Microbiology, Cellular 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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