Adriana Cimponeriu
- Cardiology and Cardiovascular Medicine top 10%
- Endocrinology, Diabetes and Metabolism top 5%
- Surgery
- Pulmonary and Respiratory Medicine
- Genetics
- Co-authors
- Maria AlevizakiChristos PapamichaelJohn LekakisJohn KanakakisStamatios StamatelopoulosKimon StamatelopoulosTheo PapaioannouAnastasios Kalofoutis
- Topics
- Estrogen and related hormone effects (6 papers)Hormonal and reproductive studies (4 papers)Cardiovascular Health and Disease Prevention (4 papers)
- Cited by
- Endocrinology, Diabetes and MetabolismCardiology and Cardiovascular MedicineBehavioral Neuroscience
- Partner nations
- GreeceUnited StatesNetherlands
In The Last Decade
Adriana Cimponeriu
15 papers receiving 656 citations
Peers
Comparison fields: 5 of 70
- Cardiology and Cardiovascular Medicine 277
- Endocrinology, Diabetes and Metabolism 224
- Surgery 200
- Pulmonary and Respiratory Medicine 185
- Genetics 89
Countries citing papers authored by Adriana Cimponeriu
This map shows the geographic impact of Adriana Cimponeriu'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 Adriana Cimponeriu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Adriana Cimponeriu more than expected).
Fields of papers citing papers by Adriana Cimponeriu
This network shows the impact of papers produced by Adriana Cimponeriu. 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 Adriana Cimponeriu. The network helps show where Adriana Cimponeriu may publish in the future.
Co-authorship network of co-authors of Adriana Cimponeriu
This figure shows the co-authorship network connecting the top 25 collaborators of Adriana Cimponeriu. A scholar is included among the top collaborators of Adriana Cimponeriu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Adriana Cimponeriu. Adriana Cimponeriu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 18 | |
| 2 | 10 | |
| 3 | 14 | |
| 4 | 14 | |
| 5 | 44 | |
| 6 | 46 | |
| 7 | The severity of cardiovascular disease in women is modified by estrogen receptor alpha polymorphic variants | 1 |
| 8 | 28 | |
| 9 | 46 | |
| 10 | 38 | |
| 11 | 60 | |
| 12 | 18 | |
| 13 | 176 | |
| 14 | 150 | |
| 15 | 20 |
About Adriana Cimponeriu
Adriana Cimponeriu is a scholar working on Endocrinology, Diabetes and Metabolism, Behavioral Neuroscience and Cardiology and Cardiovascular Medicine, having authored 15 papers that have together received 683 indexed citations. Recurring topics across this work include Estrogen and related hormone effects (6 papers), Hormonal and reproductive studies (4 papers) and Cardiovascular Health and Disease Prevention (4 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (224 citations), Cardiology and Cardiovascular Medicine (277 citations) and Behavioral Neuroscience (30 citations). Adriana Cimponeriu has collaborated with scholars based in Greece, United States and Netherlands. Frequent co-authors include Maria Alevizaki, Christos Papamichael, John Lekakis, John Kanakakis, Stamatios Stamatelopoulos, Kimon Stamatelopoulos, Theo Papaioannou, Anastasios Kalofoutis, Angeliki Papapanagiotou and Myron Mavrikakis. Their work appears in journals such as The American Journal of Cardiology, Clinica Chimica Acta and 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.