M. Veroni
Impact in
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- Bone health and treatments
- HER2/EGFR in Cancer Research
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- Estrogen and related hormone effects
Papers in
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- Metabolism, Diabetes, and Cancer 5
- Peroxisome Proliferator-Activated Receptors 2
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- Adipose Tissue and Metabolism 4
- Co-authors
- Nicola C. Partridge (2 shared papers)T. John Martin (1 shared paper)Bruce E. Kemp (1 shared paper)Richard G. Larkins (7 shared papers)Joseph Proietto (1 shared paper)Xiangdong Hu (1 shared paper)C. K. W. Watts (1 shared paper)John Zalcberg (1 shared paper)
- Journals
- Clinical and Experimental Pharmacology and Physiology (3 papers)Endocrinology (2 papers)Hormone and Metabolic Research (2 papers)Diabetes (1 paper)Diabetologia (1 paper)
- Partner nations
- AustraliaUnited KingdomUnited States
In The Last Decade
M. Veroni
16 papers receiving 368 citations
Peers
Comparison fields: 5 of 55
- Oncology 124
- Genetics 116
- Endocrinology, Diabetes and Metabolism 59
- Molecular Biology 213
- Endocrine and Autonomic Systems 18
Countries citing papers authored by M. Veroni
This map shows the geographic impact of M. Veroni'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 M. Veroni with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Veroni more than expected).
Fields of papers citing papers by M. Veroni
This network shows the impact of papers produced by M. Veroni. 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 M. Veroni. The network helps show where M. Veroni may publish in the future.
Co-authors
The 25 scholars most cited alongside M. Veroni, 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 | 1981 | 131 | |
| 2 | 1993 | 95 | |
| 3 | 1991 | 59 | |
| 4 | 1984 | 18 | |
| 5 | 1983 | 17 | |
| 6 | 1984 | 11 | |
| 7 | 1983 | 11 | |
| 8 | 1980 | 9 | |
| 9 | 1980 | 7 | |
| 10 | 1984 | 5 | |
| 11 | 1983 | 5 | |
| 12 | 1981 | 5 | |
| 13 | 1986 | 4 | |
| 14 | 1980 | 3 | |
| 15 | 1980 | 2 | |
| 16 | 1983 | 1 |
About M. Veroni
M. Veroni is a scholar working on Molecular Biology, Physiology, Endocrinology, Diabetes and Metabolism, Surgery and Pharmacology, having authored 16 papers that have together received 383 indexed citations. Recurring topics across this work include Metabolism, Diabetes, and Cancer (5 papers), Adipose Tissue and Metabolism (4 papers), Pancreatic function and diabetes (3 papers), Diet, Metabolism, and Disease (2 papers), Hormonal Regulation and Hypertension (2 papers), Inflammatory mediators and NSAID effects (2 papers), Peroxisome Proliferator-Activated Receptors (2 papers) and Cytokine Signaling Pathways and Interactions (1 paper). The work is most often cited by research in Oncology (124 citations), Genetics (116 citations), Endocrinology, Diabetes and Metabolism (59 citations), Molecular Biology (213 citations) and Endocrine and Autonomic Systems (18 citations). M. Veroni has collaborated with scholars based in Australia, United Kingdom and United States. Frequent co-authors include Nicola C. Partridge, T. John Martin, Bruce E. Kemp, Richard G. Larkins, Joseph Proietto, Xiangdong Hu, C. K. W. Watts, John Zalcberg, M. De Luise and R. Sutherland. Their work appears in journals such as Clinical and Experimental Pharmacology and Physiology, Endocrinology, Hormone and Metabolic Research, Diabetes and Diabetologia.
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.