Michela Riba

2.1k citations
25 papers · 504 · h-index 14

Impact in

    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Immunotherapy and Immune Responses

Papers in

    • Gut microbiota and health 3
    • RNA Interference and Gene Delivery 3
    • Immune Cell Function and Interaction 5

Michela Riba

24 papers receiving 498 citations

Peers

Michela Riba
Comparison fields: 5 of 100
  • Immunology 161
  • Virology 25
  • Oncology 120
  • Molecular Biology 252
  • Genetics 86
Replace Minghua Zhu with:
Minghua Zhu China
Torunn Bruland Norway
Marinus R. Heideman United States
Shan Huang China
Kristin Lampe United States
Xiangming Hu China
Jocelyn S. Downey United Kingdom
Swapna Chaudhuri India
Xuelong Zhang China
Saikiran K. Sedimbi Sweden
Michela Riba relative to Minghua Zhu China Minghua Zhu's profile →
Citations per field
00.5×2.6×
Minghua Zhu · 1×
Citations per year

Countries citing papers authored by Michela Riba

Since Specialization
Citations

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

Fields of papers citing papers by Michela Riba

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201965
2 201265
3 201755
4 201637
5 201236
6 202330
7 201726
8 201621
9 201420
10 202419
11 201619
12 201919
13 201318
14 201214
15 201812
16 20209
17 20248
18 20097
19 20147
20 20236

About Michela Riba

Michela Riba is a scholar working on Molecular Biology, Immunology, Oncology, Genetics and Surgery, having authored 25 papers that have together received 504 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (5 papers), Cancer Immunotherapy and Biomarkers (4 papers), Bladder and Urothelial Cancer Treatments (3 papers), Gut microbiota and health (3 papers), RNA Interference and Gene Delivery (3 papers), MicroRNA in disease regulation (2 papers), Chronic Lymphocytic Leukemia Research (2 papers) and Virus-based gene therapy research (2 papers). The work is most often cited by research in Immunology (161 citations), Virology (25 citations), Oncology (120 citations), Molecular Biology (252 citations) and Genetics (86 citations). Michela Riba has collaborated with scholars based in Italy, United States and France. Frequent co-authors include Davide Cittaro, Elia Stupka, Dejan Lazarević, Filippo Martinelli Boneschi, Maria Pia Protti, Claudio Doglioni, Attilio Bondanza, Sara Galimberti, Maria Grazia Roncarolo and Luigi Naldini. Their work appears in journals such as PLoS ONE, Blood, Scientific Reports, Proceedings of the National Academy of Sciences and European Journal of 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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