Chiara Vitale

3.7k citations
49 papers · 2.8k indexed · h-index 28

Impact in

  • Immunology top 1%
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Reproductive System and Pregnancy
    • Immunotherapy and Immune Responses
    • IL-33, ST2, and ILC Pathways
  • Hematology top 5%
    • Hematopoietic Stem Cell Transplantation

Papers in

    • Immune Cell Function and Interaction 36
    • T-cell and B-cell Immunology 22
    • Reproductive System and Pregnancy 7
    • IL-33, ST2, and ILC Pathways 6
    • Hematopoietic Stem Cell Transplantation 5

Chiara Vitale

49 papers receiving 2.8k citations

Peers

Chiara Vitale
Comparison fields: 5 of 90
  • Immunology 2.1k
  • Hematology 305
  • Oncology 601
  • Biological Psychiatry 54
  • Neurology 125
Replace Haishan Lin with:
Haishan Lin China
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Claire Usal France
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Diana Varol Israel
Marjan van Meurs Netherlands
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Faraaz B. Chekeni United States
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Chiara Vitale relative to Haishan Lin China Haishan Lin's profile →
Citations per field
00.5×1.5×2.0×
Haishan Lin · 1×
Citations per year

Countries citing papers authored by Chiara Vitale

Since Specialization
Citations

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

Fields of papers citing papers by Chiara Vitale

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 202010
2 2019279
3 20183
4 201817
5 201855
6 201645
7 201523
8 201530
9 2011181
10 201161
11 201057
12 2007174
13 20067
14 200141
15 200023
16 200048
17 1997143
18 19973
19 199617
20 1995200

About Chiara Vitale

Chiara Vitale is a scholar working on Immunology, Hematology, Biological Psychiatry, Oncology and Behavioral Neuroscience, having authored 49 papers that have together received 2.8k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (36 papers), T-cell and B-cell Immunology (22 papers), CAR-T cell therapy research (12 papers), Reproductive System and Pregnancy (7 papers), IL-33, ST2, and ILC Pathways (6 papers), Hematopoietic Stem Cell Transplantation (5 papers), Multiple Sclerosis Research Studies (4 papers) and Cannabis and Cannabinoid Research (4 papers). The work is most often cited by research in Immunology (2.1k citations), Hematology (305 citations), Oncology (601 citations), Biological Psychiatry (54 citations) and Neurology (125 citations). Chiara Vitale has collaborated with scholars based in Italy, United States and France. Frequent co-authors include Maria Cristina Mingari, Lorenzo Moretta, Francesca Schiavetti, Marco Ponte, Stefania Bertone, Claudia Cantoni, Alessandro Moretta, Rosa Grazia Bellomo, Elisa Montaldo and Paola Vacca. Their work appears in journals such as Frontiers in Immunology, Proceedings of the National Academy of Sciences, European Journal of Immunology, Neuroscience and International Immunology.

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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