Verónica Arnol
Impact in
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- Bone health and osteoporosis research
- Clinical Biochemistry top 10%
- Advanced Glycation End Products research
Papers in
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- Bone Metabolism and Diseases 3
- Metabolism, Diabetes, and Cancer 1
- TGF-β signaling in diseases 1
- Oncology 2
- Bone health and treatments 2
- Co-authors
- Antonio Desmond McCarthy (4 shared papers)Ana Marı́a Cortizo (3 shared papers)María Virginia Gangoiti (3 shared papers)Claudia Sedlinsky (2 shared papers)León Schurman (2 shared papers)María Silvina Molinuevo (1 shared paper)María José Tolosa (1 shared paper)Liliana Bruzzone (1 shared paper)
- Journals
- Experimental and Clinical Endocrinology & Diabetes (1 paper)Acta Diabetologica (1 paper)European Journal of Pharmacology (1 paper)Journal of Bone and Mineral Research (1 paper)Journal of Diabetes & Metabolism (1 paper)
- Partner nations
- Argentina
In The Last Decade
Verónica Arnol
5 papers receiving 330 citations
Peers
Comparison fields: 5 of 58
- Orthopedics and Sports Medicine 111
- Clinical Biochemistry 43
- Oncology 109
- Endocrinology, Diabetes and Metabolism 56
- Molecular Biology 210
Countries citing papers authored by Verónica Arnol
This map shows the geographic impact of Verónica Arnol'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 Verónica Arnol with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Verónica Arnol more than expected).
Fields of papers citing papers by Verónica Arnol
This network shows the impact of papers produced by Verónica Arnol. 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 Verónica Arnol. The network helps show where Verónica Arnol may publish in the future.
Co-authors
The 10 scholars most cited alongside Verónica Arnol, 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 | 2009 | 188 | |
| 2 | 2008 | 81 | |
| 3 | 2008 | 47 | |
| 4 | 2009 | 20 | |
| 5 | 2013 | 2 |
About Verónica Arnol
Verónica Arnol is a scholar working on Molecular Biology, Oncology, Clinical Biochemistry, Surgery and Obstetrics and Gynecology, having authored 5 papers that have together received 338 indexed citations. Recurring topics across this work include Bone Metabolism and Diseases (3 papers), Advanced Glycation End Products research (2 papers), Bone health and treatments (2 papers), NF-κB Signaling Pathways (1 paper), Metabolism, Diabetes, and Cancer (1 paper), TGF-β signaling in diseases (1 paper), Bariatric Surgery and Outcomes (1 paper) and Gestational Diabetes Research and Management (1 paper). The work is most often cited by research in Orthopedics and Sports Medicine (111 citations), Clinical Biochemistry (43 citations), Oncology (109 citations), Endocrinology, Diabetes and Metabolism (56 citations) and Molecular Biology (210 citations). Verónica Arnol has collaborated with scholars based in Argentina. Frequent co-authors include Antonio Desmond McCarthy, Ana Marı́a Cortizo, María Virginia Gangoiti, Claudia Sedlinsky, León Schurman, María Silvina Molinuevo, María José Tolosa, Liliana Bruzzone, Susana B. Etcheverry and Renata Curciarello. Their work appears in journals such as Experimental and Clinical Endocrinology & Diabetes, Acta Diabetologica, European Journal of Pharmacology, Journal of Bone and Mineral Research and Journal of Diabetes & Metabolism.
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.