Fabio Morandi
Impact in
- Physiology top 0.5%
- Adenosine and Purinergic Signaling
- Calcium signaling and nucleotide metabolism
- Immunology top 1%
- Immune Cell Function and Interaction
- Reproductive System and Pregnancy
- Immunotherapy and Immune Responses
- T-cell and B-cell Immunology
Papers in
- Physiology 20
- Calcium signaling and nucleotide metabolism 16
- Adenosine and Purinergic Signaling 13
- Immunology 54
- Immune Cell Function and Interaction 22
- Reproductive System and Pregnancy 20
- T-cell and B-cell Immunology 12
- Immunotherapy and Immune Responses 9
- Co-authors
- Vito PistoiaAlberto L. HorensteinIgnazia PrigioneFabio MalavasiIrma AiroldiSoldano FerroneLizzia RaffaghelloPaola Bocca
- Journals
- Frontiers in Immunology (7 papers)Journal of Immunology Research (6 papers)OncoImmunology (6 papers)Cells (5 papers)The Journal of Immunology (4 papers)
- Partner nations
- ItalyUnited StatesFrance
In The Last Decade
Fabio Morandi
92 papers receiving 3.3k citations
Peers
Comparison fields: 5 of 98
- Physiology 443
- Immunology 1.9k
- Oncology 1.1k
- Neurology 571
- Hematology 363
Countries citing papers authored by Fabio Morandi
This map shows the geographic impact of Fabio Morandi'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 Fabio Morandi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fabio Morandi more than expected).
Fields of papers citing papers by Fabio Morandi
This network shows the impact of papers produced by Fabio Morandi. 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 Fabio Morandi. The network helps show where Fabio Morandi may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Fabio Morandi, 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 | 2024 | 0 | |
| 2 | 2024 | 3 | |
| 3 | 2023 | 2 | |
| 4 | 2021 | 10 | |
| 5 | 2021 | 11 | |
| 6 | 2021 | 18 | |
| 7 | 2019 | 29 | |
| 8 | 2018 | 12 | |
| 9 | 2018 | 68 | |
| 10 | 2017 | 95 | |
| 11 | 2016 | 98 | |
| 12 | 2016 | 17 | |
| 13 | 2015 | 17 | |
| 14 | 2014 | 6 | |
| 15 | 2014 | 25 | |
| 16 | 2013 | 48 | |
| 17 | 2011 | 2 | |
| 18 | 2010 | 60 | |
| 19 | 2009 | 27 | |
| 20 | 2005 | 7 |
About Fabio Morandi
Fabio Morandi is a scholar working on Physiology, Immunology, Neurology, Hematology and Oncology, having authored 94 papers that have together received 3.3k indexed citations. Recurring topics across this work include Neuroblastoma Research and Treatments (32 papers), Immune Cell Function and Interaction (22 papers), Reproductive System and Pregnancy (20 papers), Calcium signaling and nucleotide metabolism (16 papers), Adenosine and Purinergic Signaling (13 papers), T-cell and B-cell Immunology (12 papers), Immunotherapy and Immune Responses (9 papers) and CAR-T cell therapy research (8 papers). The work is most often cited by research in Physiology (443 citations), Immunology (1.9k citations), Oncology (1.1k citations), Neurology (571 citations) and Hematology (363 citations). Fabio Morandi has collaborated with scholars based in Italy, United States and France. Frequent co-authors include Vito Pistoia, Alberto L. Horenstein, Ignazia Prigione, Fabio Malavasi, Irma Airoldi, Soldano Ferrone, Lizzia Raffaghello, Paola Bocca, Maria Valeria Corrias and Claudia Cocco. Their work appears in journals such as Frontiers in Immunology, Journal of Immunology Research, OncoImmunology, Cells and The 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.