Michela Muscolini
- Immunology top 10%
- Immune Cell Function and Interaction 5
- T-cell and B-cell Immunology 5
- Immunotherapy and Immune Responses 3
- interferon and immune responses 2
- Infectious Diseases top 10%
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- CAR-T cell therapy research 4
- Cancer-related Molecular Pathways 3
- Physiology top 10%
- Modeling and Simulation top 10%
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- Virus-based gene therapy research 4
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- NF-κB Signaling Pathways 3
- Co-authors
- John HiscottLoretta TuostoEnrico PalermoAlessandra ZeviniEvelyne TassoneDavid OlagnierSilvana CaristiCarolyn B. Coyne
- Journals
- Cytokine & Growth Factor Reviews (4 papers)The Journal of Immunology (3 papers)Journal of Virology (3 papers)
- Partner nations
- ItalyUnited StatesDenmark
In The Last Decade
Michela Muscolini
24 papers receiving 722 citations
Peers
Comparison fields: 5 of 129
- Immunology 237
- Infectious Diseases 127
- Oncology 169
- Physiology 27
- Modeling and Simulation 27
Countries citing papers authored by Michela Muscolini
This map shows the geographic impact of Michela Muscolini'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 Muscolini with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michela Muscolini more than expected).
Fields of papers citing papers by Michela Muscolini
This network shows the impact of papers produced by Michela Muscolini. 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 Muscolini. The network helps show where Michela Muscolini may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Michela Muscolini, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 2 | |
| 2 | 2022 | 7 | |
| 3 | 2020 | 13 | |
| 4 | 2020 | 206 | |
| 5 | 2020 | 10 | |
| 6 | 2019 | 24 | |
| 7 | 2019 | 21 | |
| 8 | 2019 | 22 | |
| 9 | 2018 | 23 | |
| 10 | 2017 | 7 | |
| 11 | 2016 | 42 | |
| 12 | 2015 | 35 | |
| 13 | 2014 | 25 | |
| 14 | 2014 | 33 | |
| 15 | 2011 | 21 | |
| 16 | 2011 | 19 | |
| 17 | 2009 | 15 | |
| 18 | 2008 | 14 | |
| 19 | 2008 | 49 | |
| 20 | 2007 | 33 |
About Michela Muscolini
Michela Muscolini is a scholar working on Immunology, Virology, Immunology and Allergy, Oncology and Geriatrics and Gerontology, having authored 24 papers that have together received 733 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (5 papers), T-cell and B-cell Immunology (5 papers), Virus-based gene therapy research (4 papers), CAR-T cell therapy research (4 papers), Immunotherapy and Immune Responses (3 papers), Cancer-related Molecular Pathways (3 papers), NF-κB Signaling Pathways (3 papers) and interferon and immune responses (2 papers). The work is most often cited by research in Immunology (237 citations), Infectious Diseases (127 citations), Oncology (169 citations), Physiology (27 citations) and Modeling and Simulation (27 citations). Michela Muscolini has collaborated with scholars based in Italy, United States and Denmark. Frequent co-authors include John Hiscott, Loretta Tuosto, Enrico Palermo, Alessandra Zevini, Evelyne Tassone, David Olagnier, Silvana Caristi, Carolyn B. Coyne, Cristina Capuano and Ricciarda Galandrini. Their work appears in journals such as Cytokine & Growth Factor Reviews, The Journal of Immunology, Journal of Virology, Immunology Letters and Molecular Cancer Therapeutics.
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.