Anca Ouatu
- Epidemiology top 10%
- Endocrinology, Diabetes and Metabolism top 5%
- Molecular Biology
- Cardiology and Cardiovascular Medicine top 10%
- Physiology
- Co-authors
- Mariana FloriaDaniela Maria TănaseEvelina Maria GosavClaudia Florida CosteaManuela CiocoiuMinela Aida MaranducăCristina-Mihaela LăcătușuCiprian Rezuș
- Topics
- Atrial Fibrillation Management and Outcomes (4 papers)Venous Thromboembolism Diagnosis and Management (4 papers)Cardiovascular Function and Risk Factors (3 papers)
- Partner nations
- Romania
In The Last Decade
Anca Ouatu
22 papers receiving 727 citations
Hit Papers
Peers
Comparison fields: 5 of 92
- Epidemiology 322
- Endocrinology, Diabetes and Metabolism 226
- Molecular Biology 201
- Cardiology and Cardiovascular Medicine 195
- Physiology 88
Countries citing papers authored by Anca Ouatu
This map shows the geographic impact of Anca Ouatu'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 Anca Ouatu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anca Ouatu more than expected).
Fields of papers citing papers by Anca Ouatu
This network shows the impact of papers produced by Anca Ouatu. 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 Anca Ouatu. The network helps show where Anca Ouatu may publish in the future.
Co-authorship network of co-authors of Anca Ouatu
This figure shows the co-authorship network connecting the top 25 collaborators of Anca Ouatu. A scholar is included among the top collaborators of Anca Ouatu 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 Anca Ouatu. Anca Ouatu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 5 | |
| 7 | 3 | |
| 8 | 31 | |
| 9 | 9 | |
| 10 | 0 | |
| 11 | 17 | |
| 12 | 5 | |
| 13 | 9 | |
| 14 | 1 | |
| 15 | The Intricate Relationship between Type 2 Diabetes Mellitus (T2DM), Insulin Resistance (IR), and Nonalcoholic Fatty Liver Disease (NAFLD)breakdown → | 415 |
| 16 | 92 | |
| 17 | 25 | |
| 18 | The importance of clinical prediction models in non-fatal pulmonary embolism: an analysis of the best known clinical scores. | 2 |
| 19 | 8 | |
| 20 | Risk assessment in the development of atrial fibrillation at patients with associate thyroid dysfunctions. | 16 |
About Anca Ouatu
Anca Ouatu is a scholar working on Internal Medicine, Cardiology and Cardiovascular Medicine and Hematology, having authored 27 papers that have together received 751 indexed citations. Recurring topics across this work include Atrial Fibrillation Management and Outcomes (4 papers), Venous Thromboembolism Diagnosis and Management (4 papers) and Cardiovascular Function and Risk Factors (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (226 citations), Epidemiology (322 citations) and Cardiology and Cardiovascular Medicine (195 citations). Anca Ouatu has collaborated with scholars based in Romania. Frequent co-authors include Mariana Floria, Daniela Maria Tănase, Evelina Maria Gosav, Claudia Florida Costea, Manuela Ciocoiu, Minela Aida Maranducă, Cristina-Mihaela Lăcătușu, Ciprian Rezuș, Smaranda Radu and Nicoleta Dima. Their work appears in journals such as International Journal of Molecular Sciences, Nutrients and BioMed Research International.
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.