C Rugarli

4.0k citations
92 papers · 3.1k indexed · h-index 23

Impact in

  • Immunology top 1%
    • Immunotherapy and Immune Responses
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Phagocytosis and Immune Regulation
    • Biomarkers in Disease Mechanisms
    • Immune Response and Inflammation

Papers in

    • Immune Cell Function and Interaction 30
    • Immunotherapy and Immune Responses 26
    • T-cell and B-cell Immunology 20
    • Phagocytosis and Immune Regulation 7
    • Immune Response and Inflammation 5

C Rugarli

88 papers receiving 3.0k citations

Peers

C Rugarli
Comparison fields: 5 of 113
  • Immunology 2.1k
  • Immunology and Allergy 159
  • Oncology 476
  • Molecular Biology 1.1k
  • Rheumatology 186
Replace Tony N. Marion with:
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Citations per field
00.5×1.5×
Tony N. Marion · 1×
Citations per year

Countries citing papers authored by C Rugarli

Since Specialization
Citations

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

Fields of papers citing papers by C Rugarli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 200813
2 200393
3 20014
4 200073
5 199919
6 19979
7 19964
8 19969
9 19948
10 199416
11 199440
12 19927
13 19917
14 199111
15 198914
16 198911
17 19891
18
Trasformazione blastica da fitoemagglutinina di linfociti umani coltivati in vitro in presenza di plasma omologo.
19680
19
[Chemical composition of aortic connective tissue in the course of atherosclerosis].
19621
20
[Mucopolysaccharides of the aortic arch during aging].
19621

About C Rugarli

C Rugarli is a scholar working on Immunology, Physiology, Immunology and Allergy, Oncology and Genetics, having authored 92 papers that have together received 3.1k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (30 papers), Immunotherapy and Immune Responses (26 papers), T-cell and B-cell Immunology (20 papers), Cancer Immunotherapy and Biomarkers (9 papers), Monoclonal and Polyclonal Antibodies Research (7 papers), Phagocytosis and Immune Regulation (7 papers), Diabetes and associated disorders (5 papers) and Immune Response and Inflammation (5 papers). The work is most often cited by research in Immunology (2.1k citations), Immunology and Allergy (159 citations), Oncology (476 citations), Molecular Biology (1.1k citations) and Rheumatology (186 citations). C Rugarli has collaborated with scholars based in Italy, France and United States. Frequent co-authors include Patrizia Rovere, Angelo A. Manfredi, Marina Ferrarini, Maria Raffaella Zocchi, Silvia Heltai, Attilio Bondanza, Maria Pia Protti, Paola Ricciardi‐Castagnoli, Matteo Bellone and María Rescigno. Their work appears in journals such as The Journal of Immunology, International Journal of Cancer, European Journal of Immunology, Immunology Letters 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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