Massimo Ghizzoni
Impact in
- Geriatrics and Gerontology top 10%
- Sirtuins and Resveratrol in Medicine
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- Histone Deacetylase Inhibitors Research
- Protein Degradation and Inhibitors
- Epigenetics and DNA Methylation
- Ubiquitin and proteasome pathways
Papers in
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- Histone Deacetylase Inhibitors Research 4
- Protein Degradation and Inhibitors 3
- Epigenetics and DNA Methylation 1
- Genomics, phytochemicals, and oxidative stress 1
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- Nuclear Receptors and Signaling 2
- Co-authors
- Frank J. Dekker (9 shared papers)Hidde J. Haisma (7 shared papers)Harm Maarsingh (2 shared papers)André Boltjes (2 shared papers)Rosalina Wisastra (3 shared papers)Tielong Gao (1 shared paper)Jiang Wu (1 shared paper)Chris de Graaf (1 shared paper)
- Journals
- Bioorganic & Medicinal Chemistry (3 papers)European Journal of Medicinal Chemistry (2 papers)Organic & Biomolecular Chemistry (1 paper)Drug Discovery Today (1 paper)Anti-Cancer Agents in Medicinal Chemistry (1 paper)
- Partner nations
- NetherlandsPolandUnited States
In The Last Decade
Massimo Ghizzoni
9 papers receiving 397 citations
Peers
Comparison fields: 5 of 70
- Geriatrics and Gerontology 25
- Molecular Biology 268
- Complementary and alternative medicine 26
- Toxicology 8
- Oncology 57
Countries citing papers authored by Massimo Ghizzoni
This map shows the geographic impact of Massimo Ghizzoni'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 Massimo Ghizzoni with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Massimo Ghizzoni more than expected).
Fields of papers citing papers by Massimo Ghizzoni
This network shows the impact of papers produced by Massimo Ghizzoni. 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 Massimo Ghizzoni. The network helps show where Massimo Ghizzoni may publish in the future.
Co-authors
The 16 scholars most cited alongside Massimo Ghizzoni, 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 | 2011 | 109 | |
| 2 | 2011 | 92 | |
| 3 | 2010 | 67 | |
| 4 | 2008 | 43 | |
| 5 | 2009 | 29 | |
| 6 | 2012 | 25 | |
| 7 | 2011 | 18 | |
| 8 | 2013 | 13 | |
| 9 | 2012 | 9 |
About Massimo Ghizzoni
Massimo Ghizzoni is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Infectious Diseases, Surgery and Genetics, having authored 9 papers that have together received 405 indexed citations. Recurring topics across this work include Histone Deacetylase Inhibitors Research (4 papers), Protein Degradation and Inhibitors (3 papers), Nuclear Receptors and Signaling (2 papers), Chronic Myeloid Leukemia Treatments (1 paper), Epigenetics and DNA Methylation (1 paper), Enzyme Structure and Function (1 paper), Genomics, phytochemicals, and oxidative stress (1 paper) and Peptidase Inhibition and Analysis (1 paper). The work is most often cited by research in Geriatrics and Gerontology (25 citations), Molecular Biology (268 citations), Complementary and alternative medicine (26 citations), Toxicology (8 citations) and Oncology (57 citations). Massimo Ghizzoni has collaborated with scholars based in Netherlands, Poland and United States. Frequent co-authors include Frank J. Dekker, Hidde J. Haisma, Harm Maarsingh, André Boltjes, Rosalina Wisastra, Tielong Gao, Jiang Wu, Chris de Graaf, Katarzyna Piwocka and Monika Kusio-Kobiałka. Their work appears in journals such as Bioorganic & Medicinal Chemistry, European Journal of Medicinal Chemistry, Organic & Biomolecular Chemistry, Drug Discovery Today and Anti-Cancer Agents in Medicinal Chemistry.
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.