Gianfranco Matrone
Impact in
- Physiology top 10%
- Reproductive biology and impacts on aquatic species
- Adipose Tissue and Metabolism
Papers in
-
- Nuclear Structure and Function 3
- Epigenetics and DNA Methylation 3
- Angiogenesis and VEGF in Cancer 2
- DNA Repair Mechanisms 2
-
- Zebrafish Biomedical Research Applications 5
- Co-authors
- John P. Cooke (6 shared papers)Martin A. Denvir (5 shared papers)John J. Mullins (3 shared papers)Carl S. Tucker (2 shared papers)Anahita Mojiri (3 shared papers)Brandon K. Walther (3 shared papers)Patrick W. F. Hadoke (2 shared papers)K. Wilson (2 shared papers)
- Journals
- Cell Cycle (2 papers)Stem Cells (1 paper)Science (1 paper)Nature Communications (1 paper)Cardiovascular Research (1 paper)
- Partner nations
- United KingdomUnited StatesItaly
In The Last Decade
Gianfranco Matrone
14 papers receiving 489 citations
Peers
Comparison fields: 5 of 82
- Physiology 36
- Cardiology and Cardiovascular Medicine 105
- Aging 8
- Cell Biology 69
- Complementary and alternative medicine 31
Countries citing papers authored by Gianfranco Matrone
This map shows the geographic impact of Gianfranco Matrone'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 Gianfranco Matrone with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gianfranco Matrone more than expected).
Fields of papers citing papers by Gianfranco Matrone
This network shows the impact of papers produced by Gianfranco Matrone. 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 Gianfranco Matrone. The network helps show where Gianfranco Matrone may publish in the future.
Co-authors
The 25 scholars most cited alongside Gianfranco Matrone, 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 | 2007 | 108 | |
| 2 | 2008 | 71 | |
| 3 | 2013 | 64 | |
| 4 | 2021 | 63 | |
| 5 | 2006 | 45 | |
| 6 | 2015 | 36 | |
| 7 | 2019 | 25 | |
| 8 | 2017 | 23 | |
| 9 | 2009 | 19 | |
| 10 | 2021 | 16 | |
| 11 | 2021 | 13 | |
| 12 | 2016 | 10 | |
| 13 | 2021 | 2 | |
| 14 | 2022 | 1 |
About Gianfranco Matrone
Gianfranco Matrone is a scholar working on Molecular Biology, Cell Biology, Oncology, Physiology and Nephrology, having authored 14 papers that have together received 496 indexed citations. Recurring topics across this work include Zebrafish Biomedical Research Applications (5 papers), Nuclear Structure and Function (3 papers), Epigenetics and DNA Methylation (3 papers), Lymphatic System and Diseases (2 papers), Angiogenesis and VEGF in Cancer (2 papers), Nitric Oxide and Endothelin Effects (2 papers), DNA Repair Mechanisms (2 papers) and Trace Elements in Health (1 paper). The work is most often cited by research in Physiology (36 citations), Cardiology and Cardiovascular Medicine (105 citations), Aging (8 citations), Cell Biology (69 citations) and Complementary and alternative medicine (31 citations). Gianfranco Matrone has collaborated with scholars based in United Kingdom, United States and Italy. Frequent co-authors include John P. Cooke, Martin A. Denvir, John J. Mullins, Carl S. Tucker, Anahita Mojiri, Brandon K. Walther, Patrick W. F. Hadoke, K. Wilson, Jean‐Sébastien Silvestre and Shu Meng. Their work appears in journals such as Cell Cycle, Stem Cells, Science, Nature Communications and Cardiovascular Research.
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.