Chiara Vasco

1.2k citations
22 papers · 392 · h-index 12

Impact in

    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Immunotherapy and Immune Responses
    • Genetic Mapping and Diversity in Plants and Animals
    • Genetic diversity and population structure

Papers in

    • DNA Repair Mechanisms 3
    • Genomics and Chromatin Dynamics 2
    • T-cell and B-cell Immunology 5
    • Immune Cell Function and Interaction 4

Chiara Vasco

22 papers receiving 388 citations

Peers

Chiara Vasco
Comparison fields: 5 of 78
  • Immunology 85
  • Genetics 106
  • Genetics 37
  • Reproductive Medicine 27
  • Cancer Research 36
Replace Christophe Battail with:
Christophe Battail France
Serge Vicaire France
Yongli Lou China
Jackson Taylor United States
Jeong Soo Hong South Korea
Moyra Lawrence United Kingdom
Deqiang Ding China
Xiaopei Shen China
Yahav Yosefzon Israel
Chiara Vasco relative to Christophe Battail France Christophe Battail's profile →
Citations per field
00.5×3.4×
Christophe Battail · 1×
Citations per year

Countries citing papers authored by Chiara Vasco

Since Specialization
Citations

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

Fields of papers citing papers by Chiara Vasco

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200992
2 201869
3 201739
4 200826
5 201324
6 201320
7 201917
8 201514
9 202013
10 202312
11 200511
12 201211
13 20238
14 20097
15 20147
16 20227
17 20246
18 20224
19 20242
20 20251

About Chiara Vasco

Chiara Vasco is a scholar working on Molecular Biology, Immunology, Physiology, Cancer Research and Oncology, having authored 22 papers that have together received 392 indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (5 papers), Immune Cell Function and Interaction (4 papers), Sperm and Testicular Function (3 papers), DNA Repair Mechanisms (3 papers), Reproductive Biology and Fertility (3 papers), Tuberous Sclerosis Complex Research (3 papers), Genomics and Chromatin Dynamics (2 papers) and Chromosomal and Genetic Variations (2 papers). The work is most often cited by research in Immunology (85 citations), Genetics (106 citations), Genetics (37 citations), Reproductive Medicine (27 citations) and Cancer Research (36 citations). Chiara Vasco has collaborated with scholars based in Italy, United States and Argentina. Frequent co-authors include Silvia Garagna, Maurizio Zuccotti, Emilio Ciusani, Marcia Manterola, Jesús Page, Raúl Fernández‐Donoso, Andrea Salmaggi, María Teresa Parra, Soledad Berríos and Julio S. Rufas. Their work appears in journals such as European Journal of Immunology, Chromosome Research, Scientific Reports, Journal of Allergy and Clinical Immunology and Toxicology.

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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