E Marzi
Impact in
- Aging top 5%
- Genetics, Aging, and Longevity in Model Organisms
-
- Cancer-related Molecular Pathways
Papers in
-
- Coffee research and impacts 3
- Oncology 3
- Cancer-related Molecular Pathways 2
- Co-authors
- Claudio Franceschi (4 shared papers)Olivieri Fabiola (3 shared papers)Maurizio Bonati (4 shared papers)Roberto Latini (4 shared papers)Cristiana Barbi (2 shared papers)Massimiliano Bonafè (2 shared papers)Gianluca Storci (2 shared papers)Claudio Ceccarelli (1 shared paper)
- Journals
- Toxicology Letters (2 papers)Journal of Pharmacy and Pharmacology (2 papers)European Journal of Human Genetics (1 paper)Food Policy (1 paper)Cell Death and Differentiation (1 paper)
- Partner nations
- ItalyUnited KingdomGreece
In The Last Decade
E Marzi
10 papers receiving 372 citations
Peers
Comparison fields: 5 of 80
- Aging 45
- Oncology 141
- Cancer Research 68
- Pharmacology 31
- Biotechnology 21
Countries citing papers authored by E Marzi
This map shows the geographic impact of E Marzi'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 E Marzi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites E Marzi more than expected).
Fields of papers citing papers by E Marzi
This network shows the impact of papers produced by E Marzi. 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 E Marzi. The network helps show where E Marzi may publish in the future.
Co-authors
The 25 scholars most cited alongside E Marzi, 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 | Retention of the p53 codon 72 arginine allele is associated with a reduction of disease-free and overall survival in arginine/proline heterozygous breast cancer patients. | 2003 | 107 |
| 2 | 2004 | 89 | |
| 3 | 2004 | 82 | |
| 4 | 1980 | 29 | |
| 5 | 1980 | 28 | |
| 6 | 1981 | 20 | |
| 7 | 2007 | 19 | |
| 8 | In vivo and perfused liver caffeine kinetics in the rat. | 1990 | 6 |
| 9 | 1981 | 4 | |
| 10 | 2025 | 2 |
About E Marzi
E Marzi is a scholar working on Pharmacology, Oncology, Molecular Biology, Cellular and Molecular Neuroscience and Rheumatology, having authored 10 papers that have together received 386 indexed citations. Recurring topics across this work include Coffee research and impacts (3 papers), Cancer-related Molecular Pathways (2 papers), Cancer Research and Treatments (2 papers), Neuroscience and Neuropharmacology Research (2 papers), Amino Acid Enzymes and Metabolism (2 papers), Glycogen Storage Diseases and Myoclonus (1 paper), Metabolism and Genetic Disorders (1 paper) and Chemical synthesis and alkaloids (1 paper). The work is most often cited by research in Aging (45 citations), Oncology (141 citations), Cancer Research (68 citations), Pharmacology (31 citations) and Biotechnology (21 citations). E Marzi has collaborated with scholars based in Italy, United Kingdom and Greece. Frequent co-authors include Claudio Franceschi, Olivieri Fabiola, Maurizio Bonati, Roberto Latini, Cristiana Barbi, Massimiliano Bonafè, Gianluca Storci, Claudio Ceccarelli, Fulvia Farabegoli and Donatella Santini. Their work appears in journals such as Toxicology Letters, Journal of Pharmacy and Pharmacology, European Journal of Human Genetics, Food Policy and Cell Death and Differentiation.
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.