Veronica Valtolina

972 citations
7 papers · 307 · h-index 6

Impact in

    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Immunotherapy and Immune Responses
    • CAR-T cell therapy research

Papers in

    • Virus-based gene therapy research 3
    • Hematopoietic Stem Cell Transplantation 2

Veronica Valtolina

7 papers receiving 301 citations

Peers

Veronica Valtolina
Comparison fields: 5 of 34
  • Immunology 158
  • Oncology 167
  • Hematology 67
  • Genetics 97
  • Transplantation 8
Replace Anja U. van Lent with:
Anja U. van Lent Netherlands
Dianne H. Wilson United States
Vivian Fung Canada
Nathalie Clerget–Chossat France
Sarah Mertlitz Germany
Tatiana Seregina United States
Molly Javier Uyeda United States
Maud D’Aveni France
P J Scannon United States
Takahide Ara Japan
Veronica Valtolina relative to Anja U. van Lent Netherlands Anja U. van Lent's profile →
Citations per field
00.5×4.2×
Anja U. van Lent · 1×
Citations per year

Countries citing papers authored by Veronica Valtolina

Since Specialization
Citations

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

Fields of papers citing papers by Veronica Valtolina

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

7 of 7 papers shown
#Work
1 2015104
2 200589
3 202053
4 200449
5 20056
6 20235
7 20091

About Veronica Valtolina

Veronica Valtolina is a scholar working on Genetics, Hematology, Molecular Biology, Oncology and Immunology, having authored 7 papers that have together received 307 indexed citations. Recurring topics across this work include Virus-based gene therapy research (3 papers), CAR-T cell therapy research (2 papers), Hematopoietic Stem Cell Transplantation (2 papers), Viral Infectious Diseases and Gene Expression in Insects (2 papers), Immune Cell Function and Interaction (2 papers), Pancreatic function and diabetes (1 paper), Cytomegalovirus and herpesvirus research (1 paper) and SARS-CoV-2 and COVID-19 Research (1 paper). The work is most often cited by research in Immunology (158 citations), Oncology (167 citations), Hematology (67 citations), Genetics (97 citations) and Transplantation (8 citations). Veronica Valtolina has collaborated with scholars based in Italy, Germany and France. Frequent co-authors include Claudio Bordignon, Attilio Bondanza, Fabio Ciceri, Catia Traversari, Chiara Bonini, Salvatore Toma, Maurilio Ponzoni, Mark Bonyhadi, Katharina Fleischhauer and Francesca Sanvito. Their work appears in journals such as Blood, Frontiers in Immunology and The Journal of Clinical Endocrinology & Metabolism.

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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