Daniela Proietti

37 papers receiving 1.1k citations

Peers

Daniela Proietti
Comparison fields: 5 of 79
  • Microbiology 318
  • Endocrinology 98
  • Infectious Diseases 243
  • Epidemiology 422
  • Organic Chemistry 290
Replace Marta Tontini with:
Marta Tontini Italy
Chakkumkal Anish Germany
Claney L. Pereira Germany
Joanna Kübler-Kiełb United States
Alice L. Erwin United States
Ying‐Jie Lu United States
Daisei Miyamoto Japan
Susan M. Steenbergen United States
Rameshwar U. Kadam United States
Michael Kowarik Switzerland
Daniela Proietti relative to Marta Tontini Italy Marta Tontini's profile →
Citations per field
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Marta Tontini · 1×
Citations per year

Countries citing papers authored by Daniela Proietti

Since Specialization
Citations

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

Fields of papers citing papers by Daniela Proietti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201097
2 200881
3 201079
4 201268
5 201449
6 201249
7 201348
8 201548
9 201147
10 201444
11 201339
12 201235
13 201035
14 201334
15 201433
16 201032
17 201831
18 200430
19 201627
20 199823

About Daniela Proietti

Daniela Proietti is a scholar working on Epidemiology, Microbiology, Molecular Biology, Infectious Diseases and Organic Chemistry, having authored 37 papers that have together received 1.1k indexed citations. Recurring topics across this work include Bacterial Infections and Vaccines (19 papers), Pneumonia and Respiratory Infections (16 papers), Glycosylation and Glycoproteins Research (9 papers), Monoclonal and Polyclonal Antibodies Research (6 papers), Carbohydrate Chemistry and Synthesis (6 papers), Escherichia coli research studies (5 papers), Viral gastroenteritis research and epidemiology (4 papers) and Clostridium difficile and Clostridium perfringens research (4 papers). The work is most often cited by research in Microbiology (318 citations), Endocrinology (98 citations), Infectious Diseases (243 citations), Epidemiology (422 citations) and Organic Chemistry (290 citations). Daniela Proietti has collaborated with scholars based in Italy, Switzerland and United States. Frequent co-authors include Francesco Berti, Paolo Costantino, Maria Rosaria Romano, Roberto Adamo, Marta Tontini, Rino Rappuoli, Francesca Micoli, Elisa Danieli, Emilia Cappelletti and Luigi Lay. Their work appears in journals such as Vaccine, Pharmaceutica Acta Helvetiae, ACS Chemical Biology, Nature Communications and Bioconjugate Chemistry.

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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