Danilo Donnarumma

993 citations
31 papers · 810 · h-index 14

Impact in

    • Bacterial Infections and Vaccines
  • Epidemiology top 10%
    • Cytomegalovirus and herpesvirus research
    • Herpesvirus Infections and Treatments
    • Pneumonia and Respiratory Infections

Papers in

    • Bacterial Infections and Vaccines 7
    • Pneumonia and Respiratory Infections 6
    • Cytomegalovirus and herpesvirus research 3

Danilo Donnarumma

29 papers receiving 783 citations

Peers

Danilo Donnarumma
Comparison fields: 5 of 88
  • Microbiology 128
  • Epidemiology 353
  • Parasitology 71
  • Structural Biology 8
  • Infectious Diseases 88
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Citations per field
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Citations per year

Countries citing papers authored by Danilo Donnarumma

Since Specialization
Citations

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

Fields of papers citing papers by Danilo Donnarumma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011130
2 2015129
3 202077
4 201771
5 201566
6 201844
7 202141
8 201441
9 201525
10 201221
11 201518
12 202117
13 201816
14 202215
15 201614
16 202313
17 201513
18 20219
19 20238
20 20198

About Danilo Donnarumma

Danilo Donnarumma is a scholar working on Microbiology, Epidemiology, Molecular Biology, Biochemistry and Aquatic Science, having authored 31 papers that have together received 810 indexed citations. Recurring topics across this work include Bacterial Infections and Vaccines (7 papers), Pneumonia and Respiratory Infections (6 papers), Protein Hydrolysis and Bioactive Peptides (4 papers), Analytical Chemistry and Chromatography (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Streptococcal Infections and Treatments (3 papers), Cytomegalovirus and herpesvirus research (3 papers) and Aquaculture Nutrition and Growth (3 papers). The work is most often cited by research in Microbiology (128 citations), Epidemiology (353 citations), Parasitology (71 citations), Structural Biology (8 citations) and Infectious Diseases (88 citations). Danilo Donnarumma has collaborated with scholars based in Italy, United States and Germany. Frequent co-authors include Nathalie Norais, Luigi Mondello, Rino Rappuoli, Andrea Carfı́, Sumana Chandramouli, Paola Dugo, Giuseppe Micalizzi, Ethan C. Settembre, Michael A. Cianfrocco and Claudio Ciferri. Their work appears in journals such as Journal of Chromatography A, Proceedings of the National Academy of Sciences, Journal of Separation Science, The FASEB Journal and Food Analytical Methods.

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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