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
-
- Single-cell and spatial transcriptomics 5
- Cell death mechanisms and regulation 4
- Immunology 15
- Immune Cell Function and Interaction 6
- Co-authors
- João Pedro de Magalhães (4 shared papers)Anis Larbi (4 shared papers)Michael Poidinger (2 shared papers)Alfred Zippelius (3 shared papers)Bernett Lee (1 shared paper)Lucian Visan (1 shared paper)Nicolas Burdin (1 shared paper)Seri Mustafah (1 shared paper)
- Journals
- Cancers (2 papers)Histochemistry and Cell Biology (2 papers)Cell Reports (2 papers)eLife (2 papers)Journal of Biotechnology (1 paper)
- Partner nations
- ItalyGermanyUnited Kingdom
In The Last Decade
Gianni Monaco
44 papers receiving 1.6k citations
Gianni Monaco's Hit Papers
Peers
Comparison fields: 5 of 128
- Immunology 435
- Neurology 105
- Aquatic Science 96
- Aging 18
- Molecular Biology 676
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-authors
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
Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | RNA-Seq Signatures Normalized by mRNA Abundance Allow Absolute Deconvolution of Human Immune Cell Types Hit paper breakdown → | 2019 | 517 |
| 2 | 2016 | 174 | |
| 3 | 2021 | 134 | |
| 4 | 1987 | 90 | |
| 5 | 2015 | 82 | |
| 6 | 2023 | 71 | |
| 7 | 2002 | 70 | |
| 8 | 2020 | 52 | |
| 9 | 2019 | 51 | |
| 10 | 1996 | 41 | |
| 11 | 1970 | 29 | |
| 12 | 2023 | 23 | |
| 13 | 1976 | 21 | |
| 14 | Induction of monocyte-macrophage differentiation in a new diploid line of human hematopoietic cells (CM-S) by phorbol esters. | 1982 | 21 |
| 15 | 2002 | 20 | |
| 16 | 2008 | 19 | |
| 17 | 1986 | 17 | |
| 18 | 2021 | 17 | |
| 19 | 1978 | 16 | |
| 20 | 2020 | 15 |
About Gianni Monaco
Gianni Monaco is a scholar working on Molecular Biology, Immunology, Oncology, Cell Biology and Neurology, 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), Cancer-related molecular mechanisms research (3 papers) and Cellular Mechanics and Interactions (3 papers). The work is most often cited by research in Immunology (435 citations), Neurology (105 citations), Aquatic Science (96 citations), Aging (18 citations) and Molecular Biology (676 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, Bernett Lee, Lucian Visan, Nicolas Burdin, Seri Mustafah, Weili Xu and You Yi Hwang. Their work appears in journals such as Cancers, Histochemistry and Cell Biology, Cell Reports, eLife and Journal of Biotechnology.
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.