Debora Franceschini

1.2k citations
8 papers · 961 · h-index 7

Impact in

  • Immunology top 5%
    • Immune Cell Function and Interaction
    • Immunotherapy and Immune Responses
    • T-cell and B-cell Immunology
    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research

Papers in

    • Immune Cell Function and Interaction 6
    • T-cell and B-cell Immunology 4
    • Immunotherapy and Immune Responses 4
    • Circular RNAs in diseases 2

Debora Franceschini

8 papers receiving 953 citations

Peers

Debora Franceschini
Comparison fields: 5 of 75
  • Immunology 558
  • Cancer Research 324
  • Virology 47
  • Hepatology 66
  • Oncology 188
Replace Dong‐Mei Zhao with:
Dong‐Mei Zhao China
Gitta Anne Heinz Germany
Christopher Fucile United States
Jeffrey A. Carrell United States
Sara Bass United States
Svetlana Sosnovtseva United States
Marianne Forkel Sweden
Daniel Rodríguez‐Pinto United States
Franz Martin Fink Austria
Debora Franceschini relative to Dong‐Mei Zhao China Dong‐Mei Zhao's profile →
Citations per field
00.5×4.5×
Dong‐Mei Zhao · 1×
Citations per year

Countries citing papers authored by Debora Franceschini

Since Specialization
Citations

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

Fields of papers citing papers by Debora Franceschini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

8 of 8 papers shown
#Work
1 2009259
2 2009244
3 2009224
4 2006119
5 200770
6 201326
7 201218
8 20071

About Debora Franceschini

Debora Franceschini is a scholar working on Immunology, Molecular Biology, Virology, Cancer Research and Epidemiology, having authored 8 papers that have together received 961 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (6 papers), T-cell and B-cell Immunology (4 papers), Immunotherapy and Immune Responses (4 papers), MicroRNA in disease regulation (2 papers), HIV Research and Treatment (2 papers), Circular RNAs in diseases (2 papers), Hepatitis C virus research (1 paper) and Cancer-related molecular mechanisms research (1 paper). The work is most often cited by research in Immunology (558 citations), Cancer Research (324 citations), Virology (47 citations), Hepatology (66 citations) and Oncology (188 citations). Debora Franceschini has collaborated with scholars based in Italy, United States and New Zealand. Frequent co-authors include Vincenzo Barnaba, Francesca Meloni, Giuseppe Macino, Franca Citarella, Valerio Fulci, Marino Paroli, Melissa Videtta, Stefania Morrone, Vittorio Francavilla and Mario U. Mondelli. Their work appears in journals such as PLoS Pathogens, Nature Medicine, Human Immunology, Journal of Neuroinflammation and Journal of Clinical Investigation.

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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