Veronica Tisato

4.3k citations
103 papers · 3.1k indexed · h-index 28

Impact in

  • Genetics top 2%
    • Mesenchymal stem cell research
    • Virus-based gene therapy research
    • Venous Thromboembolism Diagnosis and Management

Papers in

Veronica Tisato

101 papers receiving 3.0k citations

Peers

Veronica Tisato
Comparison fields: 5 of 148
  • Genetics 543
  • Internal Medicine 124
  • Hematology 266
  • Cancer Research 334
  • Oncology 571
Replace Daniel Sedding with:
Daniel Sedding Germany
Janice Russell United States
Bruce A. Hug United States
Li Ma China
Jin‐Yeong Han South Korea
Mukesh K. Jain United States
Hee‐Jin Kim South Korea
Xiaoyun Fu United States
Ioakim Spyridopoulos United Kingdom
Luigi Caimi Italy
Veronica Tisato relative to Daniel Sedding Germany Daniel Sedding's profile →
Citations per field
00.5×1.6×
Daniel Sedding · 1×
Citations per year

Countries citing papers authored by Veronica Tisato

Since Specialization
Citations

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

Fields of papers citing papers by Veronica Tisato

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20244
3 20245
4 20238
5 202334
6 20232
7 202316
8 20215
9 20219
10 202128
11 2020271
12 202013
13 202049
14 20208
15 202032
16 201911
17 201919
18 201814
19 2017201
20 200947

About Veronica Tisato

Veronica Tisato is a scholar working on Internal Medicine, Biochemistry, Cancer Research, Hematology and Immunology, having authored 103 papers that have together received 3.1k indexed citations. Recurring topics across this work include Cell death mechanisms and regulation (10 papers), Venous Thromboembolism Diagnosis and Management (8 papers), Diagnosis and Treatment of Venous Diseases (8 papers), SARS-CoV-2 and COVID-19 Research (6 papers), Virus-based gene therapy research (6 papers), COVID-19 Clinical Research Studies (6 papers), Epigenetics and DNA Methylation (5 papers) and Multiple Sclerosis Research Studies (4 papers). The work is most often cited by research in Genetics (543 citations), Internal Medicine (124 citations), Hematology (266 citations), Cancer Research (334 citations) and Oncology (571 citations). Veronica Tisato has collaborated with scholars based in Italy, Germany and United States. Frequent co-authors include Paola Secchiero, Giorgio Zauli, Donato Gemmati, Francesco Dazzi, Rebecca Voltan, Dominique Bonnet, Eric W.‐F. Lam, Maria Luisa Serino, Arianna Gonelli and Inês Soeiro. Their work appears in journals such as International Journal of Molecular Sciences, Genes, PLoS ONE, Scientific Reports and Clinical Science.

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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