Thomas Calzascia

3.0k citations
27 papers · 1.9k indexed · h-index 19
  • Immunology top 2%
    • Immunotherapy and Immune Responses 12
    • T-cell and B-cell Immunology 10
    • Immune Cell Function and Interaction 9
    • Immune Response and Inflammation 7
    • interferon and immune responses 3
  • Oncology top 5%
    • CAR-T cell therapy research 4
  • Genetics top 10%
  • Virology top 10%
    • NF-κB Signaling Pathways 6
    • Cell death mechanisms and regulation 4

Thomas Calzascia

27 papers receiving 1.9k citations

Peers

Thomas Calzascia
Comparison fields: 5 of 94
  • Immunology 1.3k
  • Oncology 667
  • Genetics 116
  • Virology 49
  • Cancer Research 133
Replace Ravikumar Muthuswamy with:
Ravikumar Muthuswamy United States
Xuejun Fan United States
Catherine M. Owczarek Australia
Christian T. Mayer Germany
Fengdong Cheng United States
Stanislav Vukmanović United States
Helen C. O’Neill Australia
Óscar M. Pello Spain
Yuichi Hirata Japan
Cristina Ulivieri Italy
Thomas Calzascia relative to Ravikumar Muthuswamy United States Ravikumar Muthuswamy's profile →
Citations per field
00.5×1.5×2.1×
Ravikumar Muthuswamy · 1×
Citations per year

Countries citing papers authored by Thomas Calzascia

Since Specialization
Citations

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

Fields of papers citing papers by Thomas Calzascia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 202110
2 20193
3 201719
4 201443
5 201340
6 20125
7 2011249
8 2009171
9 200835
10 20085
11 2007188
12 2005186
13 2005213
14 200426
15 200351
16 20034
17 200368
18 200247
19 200044
20 200010

About Thomas Calzascia

Thomas Calzascia is a scholar working on Immunology, Cancer Research and Oncology, having authored 27 papers that have together received 1.9k indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (12 papers), T-cell and B-cell Immunology (10 papers), Immune Cell Function and Interaction (9 papers), Immune Response and Inflammation (7 papers), NF-κB Signaling Pathways (6 papers), Cell death mechanisms and regulation (4 papers), CAR-T cell therapy research (4 papers) and interferon and immune responses (3 papers). The work is most often cited by research in Immunology (1.3k citations), Oncology (667 citations) and Genetics (116 citations). Thomas Calzascia has collaborated with scholars based in Switzerland, United States and Canada. Frequent co-authors include Pamela S. Ohashi, Tak W. Mak, Alisha R. Elford, Pierre‐Yves Dietrich, Marc Pellegrini, Paul R. Walker, Nicolas de Tribolet, Wilma Di Berardino-Besson, Frédérick Masson and Arda Shahinian. Their work appears in journals such as Science, Cell and Proceedings of the National Academy of Sciences.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026