Concetta Beninati

4.2k citations
91 papers · 3.3k · h-index 33

Impact in

Papers in

Concetta Beninati

89 papers receiving 3.2k citations

Peers

Concetta Beninati
Comparison fields: 5 of 115
  • Immunology 1.3k
  • Microbiology 322
  • Infectious Diseases 639
  • Epidemiology 1.0k
  • Endocrinology 140
Replace Masao Mitsuyama with:
Masao Mitsuyama Japan
Kol A. Zarember United States
Sivapriya Kailasan Vanaja United States
Nicolas W.J. Schröder Germany
Lutz Hamann Germany
Gerben Ferwerda Netherlands
Mustapha Si‐Tahar France
Giuseppe Teti Italy
Mona Bajaj‐Elliott United Kingdom
Marie‐Louise Hammarström Sweden
Concetta Beninati relative to Masao Mitsuyama Japan Masao Mitsuyama's profile →
Citations per field
00.5×2.7×
Masao Mitsuyama · 1×
Citations per year

Countries citing papers authored by Concetta Beninati

Since Specialization
Citations

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

Fields of papers citing papers by Concetta Beninati

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 91 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009273
2 2007209
3 2017136
4 2012117
5 2005114
6 2004112
7 2004103
8
Haemophagocytic syndrome in rheumatic patients. A systematic review.
2012102
9 200096
10 201585
11 201178
12 201477
13 200573
14 200266
15
Secondary hemophagocytic lymphohistiocytosis in zoonoses. A systematic review.
201259
16 201457
17 199754
18 200053
19 201249
20 200847

About Concetta Beninati

Concetta Beninati is a scholar working on Epidemiology, Public Health, Environmental and Occupational Health, Immunology, Molecular Biology and Microbiology, having authored 91 papers that have together received 3.3k indexed citations. Recurring topics across this work include Neonatal and Maternal Infections (33 papers), Streptococcal Infections and Treatments (29 papers), Immune Response and Inflammation (23 papers), Pneumonia and Respiratory Infections (19 papers), Bacterial Infections and Vaccines (10 papers), Fungal Infections and Studies (9 papers), Antifungal resistance and susceptibility (8 papers) and Monoclonal and Polyclonal Antibodies Research (7 papers). The work is most often cited by research in Immunology (1.3k citations), Microbiology (322 citations), Infectious Diseases (639 citations), Epidemiology (1.0k citations) and Endocrinology (140 citations). Concetta Beninati has collaborated with scholars based in Italy, France and United States. Frequent co-authors include Giuseppe Teti, Giuseppe Mancuso, Carmelo Biondo, Angelina Midiri, Roberta Galbo, Salvatore Papasergi, Maria Elsa Gambuzza, Mario Venza, Isabella Venza and Diana Teti. Their work appears in journals such as The Journal of Immunology, Infection and Immunity, PLoS ONE, European Journal of 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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