Marco Vanoni
Impact in
- Molecular Biology top 2%
- Fungal and yeast genetics research
- Microbial Metabolic Engineering and Bioproduction
- Protein Kinase Regulation and GTPase Signaling
- Gene Regulatory Network Analysis
- Bioinformatics and Genomic Networks
- Cancer Research top 5%
- Cancer, Hypoxia, and Metabolism
Papers in
-
- Fungal and yeast genetics research 50
- Protein Kinase Regulation and GTPase Signaling 25
- Microbial Metabolic Engineering and Bioproduction 21
- Gene Regulatory Network Analysis 18
- Bioinformatics and Genomic Networks 11
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- Biofuel production and bioconversion 13
- Co-authors
- Lilia Alberghina (80 shared papers)Enzo Martegani (18 shared papers)Paola Coccetti (14 shared papers)Elena Sacco (27 shared papers)Ferdinando Chiaradonna (10 shared papers)Daniela Gaglio (13 shared papers)Marina Vai (5 shared papers)Julius Marmur (5 shared papers)
- Journals
- FEBS Letters (8 papers)Biochemical and Biophysical Research Communications (7 papers)Biotechnology Advances (6 papers)PLoS Computational Biology (6 papers)Molecular Microbiology (4 papers)
- Partner nations
- ItalyUnited StatesGermany
In The Last Decade
Marco Vanoni
146 papers receiving 4.1k citations
Peers
Comparison fields: 5 of 146
- Molecular Biology 3.0k
- Cancer Research 525
- Aging 54
- Cell Biology 474
- Biotechnology 204
Countries citing papers authored by Marco Vanoni
This map shows the geographic impact of Marco Vanoni'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 Marco Vanoni with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marco Vanoni more than expected).
Fields of papers citing papers by Marco Vanoni
This network shows the impact of papers produced by Marco Vanoni. 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 Marco Vanoni. The network helps show where Marco Vanoni may publish in the future.
Co-authors
The 25 scholars most cited alongside Marco Vanoni, 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 153 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1992 | 209 | |
| 2 | 1983 | 135 | |
| 3 | 2009 | 120 | |
| 4 | 2015 | 118 | |
| 5 | 2004 | 110 | |
| 6 | 2010 | 101 | |
| 7 | 1997 | 92 | |
| 8 | 2006 | 91 | |
| 9 | 2023 | 89 | |
| 10 | 2007 | 84 | |
| 11 | 2020 | 82 | |
| 12 | 2016 | 81 | |
| 13 | 2017 | 79 | |
| 14 | 2010 | 78 | |
| 15 | 2019 | 76 | |
| 16 | 1992 | 67 | |
| 17 | 2006 | 64 | |
| 18 | 1997 | 59 | |
| 19 | 2007 | 56 | |
| 20 | 2018 | 55 |
About Marco Vanoni
Marco Vanoni is a scholar working on Molecular Biology, Biomedical Engineering, Oncology, Cancer Research and Cell Biology, having authored 153 papers that have together received 4.2k indexed citations. Recurring topics across this work include Fungal and yeast genetics research (50 papers), Protein Kinase Regulation and GTPase Signaling (25 papers), Microbial Metabolic Engineering and Bioproduction (21 papers), Gene Regulatory Network Analysis (18 papers), Cancer, Hypoxia, and Metabolism (17 papers), Biofuel production and bioconversion (13 papers), Cancer-related Molecular Pathways (12 papers) and Bioinformatics and Genomic Networks (11 papers). The work is most often cited by research in Molecular Biology (3.0k citations), Cancer Research (525 citations), Aging (54 citations), Cell Biology (474 citations) and Biotechnology (204 citations). Marco Vanoni has collaborated with scholars based in Italy, United States and Germany. Frequent co-authors include Lilia Alberghina, Enzo Martegani, Paola Coccetti, Elena Sacco, Ferdinando Chiaradonna, Daniela Gaglio, Marina Vai, Julius Marmur, Cristina Ferrari and Renata Zippel. Their work appears in journals such as FEBS Letters, Biochemical and Biophysical Research Communications, Biotechnology Advances, PLoS Computational Biology and Molecular Microbiology.
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.