Gianni Monaco
Impact in
- Immunology top 5%
- Immune Cell Function and Interaction
- Immune cells in cancer
- T-cell and B-cell Immunology
- Neurology top 10%
- Neuroinflammation and Neurodegeneration Mechanisms
Papers in
- Immunology 15
- Immune Cell Function and Interaction 6
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- Neuroinflammation and Neurodegeneration Mechanisms 5
- Co-authors
- João Pedro de MagalhãesAnis LarbiMichael PoidingerAlfred ZippeliusWeili XuBernett LeeMichele CeccarelliLucian Visan
- Journals
- Cell Reports (2 papers)Cancers (2 papers)Histochemistry and Cell Biology (2 papers)eLife (2 papers)Nature Medicine (1 paper)
- Partner nations
- ItalyGermanyUnited Kingdom
In The Last Decade
Gianni Monaco
43 papers receiving 1.5k citations
Hit Papers
Peers
Comparison fields: 5 of 133
- Immunology 489
- Neurology 111
- Aquatic Science 95
- Molecular Biology 708
- Aging 18
Countries citing papers authored by Gianni Monaco
This map shows the geographic impact of Gianni Monaco'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 Gianni Monaco with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gianni Monaco more than expected).
Fields of papers citing papers by Gianni Monaco
This network shows the impact of papers produced by Gianni Monaco. 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 Gianni Monaco. The network helps show where Gianni Monaco may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Gianni Monaco, 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 | 2025 | 0 | |
| 2 | 2025 | 1 | |
| 3 | 2025 | 2 | |
| 4 | 2025 | 1 | |
| 5 | 2024 | 2 | |
| 6 | 2023 | 5 | |
| 7 | 2023 | 64 | |
| 8 | 2023 | 3 | |
| 9 | 2023 | 8 | |
| 10 | 2023 | 22 | |
| 11 | 2022 | 9 | |
| 12 | 2021 | 16 | |
| 13 | 2021 | 121 | |
| 14 | 2020 | 50 | |
| 15 | RNA-Seq Signatures Normalized by mRNA Abundance Allow Absolute Deconvolution of Human Immune Cell Types Hit paper breakdown → | 2019 | 502 |
| 16 | 2019 | 50 | |
| 17 | 2015 | 80 | |
| 18 | 2006 | 10 | |
| 19 | 2002 | 70 | |
| 20 | 1996 | 41 |
About Gianni Monaco
Gianni Monaco is a scholar working on Immunology, Neurology, Aging, Developmental Neuroscience and Physiology, having authored 44 papers that have together received 1.6k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (6 papers), Single-cell and spatial transcriptomics (5 papers), Neuroinflammation and Neurodegeneration Mechanisms (5 papers), Microtubule and mitosis dynamics (4 papers), Cell death mechanisms and regulation (4 papers), Erythrocyte Function and Pathophysiology (3 papers), Cellular Mechanics and Interactions (3 papers) and Cancer-related molecular mechanisms research (3 papers). The work is most often cited by research in Immunology (489 citations), Neurology (111 citations), Aquatic Science (95 citations), Molecular Biology (708 citations) and Aging (18 citations). Gianni Monaco has collaborated with scholars based in Italy, Germany and United Kingdom. Frequent co-authors include João Pedro de Magalhães, Anis Larbi, Michael Poidinger, Alfred Zippelius, Weili Xu, Bernett Lee, Michele Ceccarelli, Lucian Visan, Nicolas Burdin and Seri Mustafah. Their work appears in journals such as Cell Reports, Cancers, Histochemistry and Cell Biology, eLife and Nature Medicine.
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.