Maya Fedeli
Impact in
- Immunology top 10%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Immunotherapy and Immune Responses
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- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
Papers in
- Immunology 13
- Immune Cell Function and Interaction 13
- T-cell and B-cell Immunology 8
- Immunotherapy and Immune Responses 2
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- Histone Deacetylase Inhibitors Research 2
- RNA Interference and Gene Delivery 2
- Circular RNAs in diseases 2
- Co-authors
- Paolo Dellabona (11 shared papers)Giulia Casorati (10 shared papers)Sergio Abrignani (4 shared papers)Gloria Delfanti (4 shared papers)Claudia de Lalla (3 shared papers)Matteo Iannacone (2 shared papers)Ulrich H. von Andrian (1 shared paper)Matthias Merkenschlager (1 shared paper)
- Journals
- The Journal of Immunology (3 papers)Journal of Visualized Experiments (2 papers)Science Immunology (1 paper)International Journal of Nursing Studies (1 paper)PLoS ONE (1 paper)
- Partner nations
- ItalyUnited StatesSwitzerland
In The Last Decade
Maya Fedeli
18 papers receiving 442 citations
Peers
Comparison fields: 5 of 56
- Immunology 257
- Cancer Research 125
- Oncology 98
- Molecular Biology 167
- Transplantation 4
Countries citing papers authored by Maya Fedeli
This map shows the geographic impact of Maya Fedeli'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 Maya Fedeli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maya Fedeli more than expected).
Fields of papers citing papers by Maya Fedeli
This network shows the impact of papers produced by Maya Fedeli. 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 Maya Fedeli. The network helps show where Maya Fedeli may publish in the future.
Co-authors
The 25 scholars most cited alongside Maya Fedeli, 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 | 2012 | 85 | |
| 2 | 2009 | 77 | |
| 3 | 2013 | 69 | |
| 4 | 2016 | 37 | |
| 5 | 2022 | 37 | |
| 6 | 2022 | 31 | |
| 7 | 2008 | 19 | |
| 8 | 2017 | 18 | |
| 9 | 2012 | 18 | |
| 10 | 2006 | 15 | |
| 11 | 2016 | 11 | |
| 12 | 2015 | 10 | |
| 13 | 2021 | 6 | |
| 14 | 2020 | 5 | |
| 15 | 2021 | 4 | |
| 16 | 2017 | 3 | |
| 17 | 2022 | 2 | |
| 18 | 2021 | 2 | |
| 19 | 2025 | 0 | |
| 20 | 2025 | 0 |
About Maya Fedeli
Maya Fedeli is a scholar working on Immunology, Molecular Biology, Oncology, Cancer Research and General Health Professions, having authored 20 papers that have together received 449 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (13 papers), T-cell and B-cell Immunology (8 papers), MicroRNA in disease regulation (4 papers), CAR-T cell therapy research (4 papers), Immunotherapy and Immune Responses (2 papers), Histone Deacetylase Inhibitors Research (2 papers), RNA Interference and Gene Delivery (2 papers) and Circular RNAs in diseases (2 papers). The work is most often cited by research in Immunology (257 citations), Cancer Research (125 citations), Oncology (98 citations), Molecular Biology (167 citations) and Transplantation (4 citations). Maya Fedeli has collaborated with scholars based in Italy, United States and Switzerland. Frequent co-authors include Paolo Dellabona, Giulia Casorati, Sergio Abrignani, Gloria Delfanti, Claudia de Lalla, Matteo Iannacone, Ulrich H. von Andrian, Matthias Merkenschlager, Elena Tonti and Luca G. Guidotti. Their work appears in journals such as The Journal of Immunology, Journal of Visualized Experiments, Science Immunology, International Journal of Nursing Studies and PLoS ONE.
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.