Assunta Venuti

637 citations
37 papers · 497 · h-index 15

Impact in

  • Virology top 10%
    • HIV Research and Treatment
    • interferon and immune responses
    • Immune Response and Inflammation

Papers in

    • T-cell and B-cell Immunology 3
    • Immunotherapy and Immune Responses 3
    • Immune Response and Inflammation 3
    • Herpesvirus Infections and Treatments 6
    • Cytomegalovirus and herpesvirus research 4

Assunta Venuti

35 papers receiving 492 citations

Peers

Assunta Venuti
Comparison fields: 5 of 86
  • Virology 50
  • Immunology 166
  • Epidemiology 184
  • Cancer Research 58
  • Oncology 79
Replace Jiyi Yin with:
Jiyi Yin United States
Yinghui Shi China
Shinya Hidano Japan
Christelle Langlet Belgium
Nicole Armbruster Germany
Divyendu Singh United States
Sena J. Lee United States
Maroof Hasan United States
Tianhong Zhou China
Xavier Dervillez France
Assunta Venuti relative to Jiyi Yin United States Jiyi Yin's profile →
Citations per field
00.5×2.6×
Jiyi Yin · 1×
Citations per year

Countries citing papers authored by Assunta Venuti

Since Specialization
Citations

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

Fields of papers citing papers by Assunta Venuti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Assunta Venuti, 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 Assunta Venuti Line = papers co-authored together Assunta Venuti 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 200842
2 200839
3 201729
4 201625
5
Neutrophil-tumor cell phagocytosis (cannibalism) in human tumors: an update and literature review.
201225
6 200723
7 201223
8 201723
9 201922
10 201421
11 201719
12 201919
13 202019
14 201017
15 200916
16 201513
17 201912
18 201412
19 201411
20 202010

About Assunta Venuti

Assunta Venuti is a scholar working on Immunology, Epidemiology, Molecular Biology, Oncology and Virology, having authored 37 papers that have together received 497 indexed citations. Recurring topics across this work include Herpesvirus Infections and Treatments (6 papers), NF-κB Signaling Pathways (5 papers), HIV Research and Treatment (5 papers), Cytomegalovirus and herpesvirus research (4 papers), T-cell and B-cell Immunology (3 papers), Polyomavirus and related diseases (3 papers), Immunotherapy and Immune Responses (3 papers) and Immune Response and Inflammation (3 papers). The work is most often cited by research in Virology (50 citations), Immunology (166 citations), Epidemiology (184 citations), Cancer Research (58 citations) and Oncology (79 citations). Assunta Venuti has collaborated with scholars based in Italy, France and Germany. Frequent co-authors include Maria Teresa Sciortino, Lucia Lopalco, Antonio Mastino, Claudia Pastori, Maria Antonietta Medici, Francesca Marino‐Merlo, Sandro Grelli, Massimo Tommasino, Rosamaria Pennisi and Massimiliano Cordaro. Their work appears in journals such as Scientific Reports, Journal of Virology, mSphere, Viruses and Molecular Diversity.

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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