Antonio Valeri

765 citations
19 papers · 465 · h-index 10

Impact in

  • Immunology top 10%
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Immunotherapy and Immune Responses
    • Immune cells in cancer
  • Oncology top 10%
    • CAR-T cell therapy research

Papers in

    • Immune Cell Function and Interaction 9
    • Immunotherapy and Immune Responses 3
    • T-cell and B-cell Immunology 3
    • Multiple Myeloma Research and Treatments 3
    • Chronic Myeloid Leukemia Treatments 2

Antonio Valeri

19 papers receiving 450 citations

Peers

Antonio Valeri
Comparison fields: 5 of 52
  • Immunology 270
  • Oncology 257
  • Hematology 86
  • Genetics 19
  • Genetics 50
Replace Anniek B. van der Waart with:
Anniek B. van der Waart Netherlands
Didem Özkazanç Türkiye
Kirsten Nikolajsen Denmark
Kevin M. Friedman United States
Nawid Albinger Germany
Forhad Ahmed United Kingdom
Sascha Haubner Germany
Wenhong Shen China
Stefan Peinert Australia
Sabine Stienen Germany
Antonio Valeri relative to Anniek B. van der Waart Netherlands Anniek B. van der Waart's profile →
Citations per field
00.5×1.5×
Anniek B. van der Waart · 1×
Citations per year

Countries citing papers authored by Antonio Valeri

Since Specialization
Citations

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

Fields of papers citing papers by Antonio Valeri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 2021117
2 201788
3 202274
4 201657
5 201019
6 202118
7 201116
8 201816
9 200115
10 201912
11 19827
12 20176
13 20225
14 19824
15 20103
16 20103
17 20232
18 20122
19 20251

About Antonio Valeri

Antonio Valeri is a scholar working on Immunology, Hematology, Oncology, Molecular Biology and Hepatology, having authored 19 papers that have together received 465 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (9 papers), CAR-T cell therapy research (6 papers), Multiple Myeloma Research and Treatments (3 papers), Immunotherapy and Immune Responses (3 papers), T-cell and B-cell Immunology (3 papers), Chronic Myeloid Leukemia Treatments (2 papers), Virus-based gene therapy research (2 papers) and Pluripotent Stem Cells Research (2 papers). The work is most often cited by research in Immunology (270 citations), Oncology (257 citations), Hematology (86 citations), Genetics (19 citations) and Genetics (50 citations). Antonio Valeri has collaborated with scholars based in Spain, United States and Germany. Frequent co-authors include Joaquín Martínez‐López, Alejandra Leivas, Paula Rı́o, Almudena García-Ortiz, Laura Córdoba, Antonio Pérez‐Martínez, Lucía Fernández, Jessica Encinas, Daniel J. Powell and G. Carreño-Tarragona. Their work appears in journals such as Blood, HemaSphere, Transfusion Medicine, Leukemia and Clinical Cancer Research.

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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