Domenico Mavilio

10.7k citations
118 papers · 6.3k indexed · h-index 42
  • Virology top 0.5%
    • HIV Research and Treatment 19
  • Immunology top 0.2%
    • Immune Cell Function and Interaction 71
    • T-cell and B-cell Immunology 36
    • Reproductive System and Pregnancy 15
    • IL-33, ST2, and ILC Pathways 11
    • Immunotherapy and Immune Responses 9
  • Oncology top 2%
    • CAR-T cell therapy research 14
    • Cancer Immunotherapy and Biomarkers 14
  • Hepatology top 2%
  • Hematology top 2%

Domenico Mavilio

114 papers receiving 6.2k citations

Peers

Domenico Mavilio
Comparison fields: 5 of 126
  • Virology 1.3k
  • Immunology 4.8k
  • Oncology 1.3k
  • Hepatology 327
  • Hematology 389
Replace Linde Meyaard with:
Linde Meyaard Netherlands
Jakob Michaëlsson Sweden
Guy Gorochov France
David H. McDermott United States
Awen Gallimore United Kingdom
Sunil K. Ahuja United States
Elias K. Haddad United States
Sophie Caillat‐Zucman France
Philip J. Norris United States
Marta Catálfamo United States
Domenico Mavilio relative to Linde Meyaard Netherlands Linde Meyaard's profile →
Citations per field
00.5×3.1×
Linde Meyaard · 1×
Citations per year

Countries citing papers authored by Domenico Mavilio

Since Specialization
Citations

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

Fields of papers citing papers by Domenico Mavilio

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20252
2 20240
3 202318
4 202311
5 20235
6 202312
7 202234
8 20211
9 201912
10 201966
11 201837
12 20167
13 201599
14 201323
15 20136
16 201341
17 201316
18 2009335
19 20081
20 200815

About Domenico Mavilio

Domenico Mavilio is a scholar working on Immunology, Virology and Oncology, having authored 118 papers that have together received 6.3k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (71 papers), T-cell and B-cell Immunology (36 papers), HIV Research and Treatment (19 papers), Reproductive System and Pregnancy (15 papers), CAR-T cell therapy research (14 papers), Cancer Immunotherapy and Biomarkers (14 papers), IL-33, ST2, and ILC Pathways (11 papers) and Immunotherapy and Immune Responses (9 papers). The work is most often cited by research in Virology (1.3k citations), Immunology (4.8k citations) and Oncology (1.3k citations). Domenico Mavilio has collaborated with scholars based in Italy, United States and United Kingdom. Frequent co-authors include Kelly Hudspeth, Emanuela Marcenaro, Anthony S. Fauci, Joanna Mikulak, Manuela Fogli, Alessandro Moretta, Enrico Lugli, Clara Di Vito, Silvia Della Bella and Shyam Kottilil. Their work appears in journals such as Proceedings of the National Academy of Sciences, The Journal of Experimental Medicine and Blood.

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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