Fabio Munari
Impact in
- Immunology top 2%
- Immune cells in cancer
- Immune Cell Function and Interaction
- Phagocytosis and Immune Regulation
- Immune Response and Inflammation
- Biological Psychiatry top 10%
Papers in
- Immunology 13
- Galectins and Cancer Biology 3
- Immune Cell Function and Interaction 3
- Immune cells in cancer 3
- IL-33, ST2, and ILC Pathways 2
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- Muscle Physiology and Disorders 2
- Co-authors
- Antonella Viola (11 shared papers)Ricardo Sánchez‐Rodríguez (6 shared papers)Alessandra Castegna (5 shared papers)Tommaso Scolaro (2 shared papers)Marina de Bernard (10 shared papers)Roberta Angioni (6 shared papers)Matteo Fassan (7 shared papers)Barbara Molon (6 shared papers)
In The Last Decade
Fabio Munari
22 papers receiving 2.3k citations
Fabio Munari's Hit Papers
Peers
Comparison fields: 5 of 112
- Immunology 1.0k
- Biological Psychiatry 47
- Neurology 120
- Physiology 63
- Cancer Research 184
Countries citing papers authored by Fabio Munari
This map shows the geographic impact of Fabio Munari'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 Munari with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fabio Munari more than expected).
Fields of papers citing papers by Fabio Munari
This network shows the impact of papers produced by Fabio Munari. 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 Munari. The network helps show where Fabio Munari may publish in the future.
Co-authors
The 25 scholars most cited alongside Fabio Munari, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | The Metabolic Signature of Macrophage Responses Hit paper breakdown → | 2019 | 1484 |
| 2 | 2012 | 107 | |
| 3 | 2019 | 104 | |
| 4 | 2016 | 83 | |
| 5 | 2020 | 69 | |
| 6 | 2011 | 55 | |
| 7 | 2017 | 52 | |
| 8 | 2012 | 51 | |
| 9 | 2014 | 48 | |
| 10 | 2011 | 44 | |
| 11 | 2020 | 42 | |
| 12 | 2022 | 33 | |
| 13 | 2021 | 27 | |
| 14 | 2022 | 20 | |
| 15 | 2021 | 20 | |
| 16 | 2023 | 12 | |
| 17 | 2019 | 12 | |
| 18 | 2021 | 11 | |
| 19 | 2013 | 4 | |
| 20 | 2012 | 3 |
About Fabio Munari
Fabio Munari is a scholar working on Immunology, Molecular Biology, Surgery, Oncology and Infectious Diseases, having authored 22 papers that have together received 2.3k indexed citations. Recurring topics across this work include Helicobacter pylori-related gastroenterology studies (5 papers), Galectins and Cancer Biology (3 papers), Immune Cell Function and Interaction (3 papers), Immune cells in cancer (3 papers), Bladder and Urothelial Cancer Treatments (3 papers), IL-33, ST2, and ILC Pathways (2 papers), SARS-CoV-2 and COVID-19 Research (2 papers) and Muscle Physiology and Disorders (2 papers). The work is most often cited by research in Immunology (1.0k citations), Biological Psychiatry (47 citations), Neurology (120 citations), Physiology (63 citations) and Cancer Research (184 citations). Fabio Munari has collaborated with scholars based in Italy, India and France. Frequent co-authors include Antonella Viola, Ricardo Sánchez‐Rodríguez, Alessandra Castegna, Tommaso Scolaro, Marina de Bernard, Roberta Angioni, Matteo Fassan, Barbara Molon, Mario Milco D’Elios and Gaia Codolo. Their work appears in journals such as Frontiers in Immunology, Science Signaling, Journal of Visualized Experiments, Cell Death and Differentiation and Journal of Controlled Release.
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.