Mario Buono
Impact in
- Ophthalmology top 5%
- Glaucoma and retinal disorders
- Retinal Diseases and Treatments
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- Cellular transport and secretion
Papers in
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- Single-cell and spatial transcriptomics 2
- Protein Kinase Regulation and GTPase Signaling 2
- Fibroblast Growth Factor Research 2
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- Hematopoietic Stem Cell Transplantation 4
- Acute Myeloid Leukemia Research 2
- Co-authors
- Graciana Diez‐Roux (1 shared paper)Fulvia Troise (1 shared paper)Maria Pia Cosma (5 shared papers)Claus Nerlov (7 shared papers)Satish Kumar (1 shared paper)Kapil Sirohi (1 shared paper)Cherukuri Sudhakar (1 shared paper)Megha Bansal (1 shared paper)
- Journals
- Journal of Biological Chemistry (2 papers)The Journal of Experimental Medicine (1 paper)Nature Communications (1 paper)Science Immunology (1 paper)Experimental Hematology (1 paper)
- Partner nations
- United KingdomItalyUnited States
In The Last Decade
Mario Buono
14 papers receiving 387 citations
Peers
Comparison fields: 5 of 66
- Ophthalmology 58
- Cell Biology 86
- Hematology 50
- Immunology 71
- Neurology 26
Countries citing papers authored by Mario Buono
This map shows the geographic impact of Mario Buono'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 Mario Buono with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mario Buono more than expected).
Fields of papers citing papers by Mario Buono
This network shows the impact of papers produced by Mario Buono. 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 Mario Buono. The network helps show where Mario Buono may publish in the future.
Co-authors
The 25 scholars most cited alongside Mario Buono, 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 | 2006 | 105 | |
| 2 | 2017 | 76 | |
| 3 | 2016 | 50 | |
| 4 | 2007 | 41 | |
| 5 | 2009 | 27 | |
| 6 | 2010 | 22 | |
| 7 | 2020 | 20 | |
| 8 | 2009 | 13 | |
| 9 | 2018 | 13 | |
| 10 | 2024 | 11 | |
| 11 | 2022 | 10 | |
| 12 | 2023 | 3 | |
| 13 | 2018 | 1 | |
| 14 | 2010 | 1 |
About Mario Buono
Mario Buono is a scholar working on Molecular Biology, Hematology, Cell Biology, Immunology and Epidemiology, having authored 14 papers that have together received 393 indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (4 papers), Proteoglycans and glycosaminoglycans research (3 papers), Cellular transport and secretion (2 papers), Single-cell and spatial transcriptomics (2 papers), Immune Cell Function and Interaction (2 papers), Protein Kinase Regulation and GTPase Signaling (2 papers), Fibroblast Growth Factor Research (2 papers) and Acute Myeloid Leukemia Research (2 papers). The work is most often cited by research in Ophthalmology (58 citations), Cell Biology (86 citations), Hematology (50 citations), Immunology (71 citations) and Neurology (26 citations). Mario Buono has collaborated with scholars based in United Kingdom, Italy and United States. Frequent co-authors include Graciana Diez‐Roux, Fulvia Troise, Maria Pia Cosma, Claus Nerlov, Satish Kumar, Kapil Sirohi, Cherukuri Sudhakar, Megha Bansal, G. Swarup and Supat Thongjuea. Their work appears in journals such as Journal of Biological Chemistry, The Journal of Experimental Medicine, Nature Communications, Science Immunology and Experimental Hematology.
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.