V Cusumano

27 papers receiving 583 citations

Peers

V Cusumano
Comparison fields: 5 of 77
  • Immunology 257
  • Microbiology 59
  • Epidemiology 192
  • Infectious Diseases 93
  • Public Health, Environmental and Occupational Health 128
Replace Annalisa Lembo with:
Annalisa Lembo United States
K Ohishi Japan
Christelle Bourgeois Austria
Anthony G Beckhouse Australia
Ce Tang Japan
Alan W. Varley United States
Svetlin Tchatalbachev Germany
Arup Sarkar India
Yen-Michael S. Hsu United States
Nicole P. Malvin United States
V Cusumano relative to Annalisa Lembo United States Annalisa Lembo's profile →
Citations per field
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Annalisa Lembo · 1×
Citations per year

Countries citing papers authored by V Cusumano

Since Specialization
Citations

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

Fields of papers citing papers by V Cusumano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside V Cusumano, 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 V Cusumano Line = papers co-authored together V Cusumano 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 199761
2 199754
3 199853
4 199749
5 199643
6 199640
7 199036
8 199734
9 199733
10 199931
11 200329
12 199728
13 199421
14 200620
15 199619
16 199514
17
Transforming growth factor beta 1 alters rat peritoneal macrophage mediator production and improves survival during endotoxic shock.
199613
18 19858
19
Beneficial effects of antibacterial peptide PR-39 in a neonatal murine model of endotoxic shock.
20046
20 19985

About V Cusumano

V Cusumano is a scholar working on Immunology, Public Health, Environmental and Occupational Health, Epidemiology, Pulmonary and Respiratory Medicine and Plant Science, having authored 27 papers that have together received 617 indexed citations. Recurring topics across this work include Neonatal and Maternal Infections (8 papers), Immune Response and Inflammation (8 papers), Mycotoxins in Agriculture and Food (5 papers), Neonatal Respiratory Health Research (5 papers), Streptococcal Infections and Treatments (4 papers), Indoor Air Quality and Microbial Exposure (3 papers), Toxin Mechanisms and Immunotoxins (3 papers) and Veterinary medicine and infectious diseases (3 papers). The work is most often cited by research in Immunology (257 citations), Microbiology (59 citations), Epidemiology (192 citations), Infectious Diseases (93 citations) and Public Health, Environmental and Occupational Health (128 citations). V Cusumano has collaborated with scholars based in Italy, United States and Netherlands. Frequent co-authors include Giuseppe Mancuso, Giuseppe Teti, Francesco Genovese, Gaetano Bruno Costa, Maria Luigia Carbone, Concetta Beninati, Ferdinando Nicoletti, Fabio Rossano, M T Fera and R.A. Merendino. Their work appears in journals such as Infection and Immunity, Antimicrobial Agents and Chemotherapy, Research in Microbiology, Nature Medicine and Advances in experimental medicine and biology.

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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