Anca Ouatu

55 total papers · 1.1k total citations
27 papers, 739 citations indexed

About

Anca Ouatu is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology and Epidemiology. According to data from OpenAlex, Anca Ouatu has authored 27 papers receiving a total of 739 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Cardiology and Cardiovascular Medicine, 6 papers in Molecular Biology and 5 papers in Epidemiology. Recurrent topics in Anca Ouatu's work include Venous Thromboembolism Diagnosis and Management (4 papers), Atrial Fibrillation Management and Outcomes (4 papers) and Adipokines, Inflammation, and Metabolic Diseases (3 papers). Anca Ouatu is often cited by papers focused on Venous Thromboembolism Diagnosis and Management (4 papers), Atrial Fibrillation Management and Outcomes (4 papers) and Adipokines, Inflammation, and Metabolic Diseases (3 papers). Anca Ouatu collaborates with scholars based in Romania. Anca Ouatu's 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 Cătălina Arsenescu Georgescu and has published in prestigious journals such as International Journal of Molecular Sciences, Nutrients and BioMed Research International.

In The Last Decade

Anca Ouatu

22 papers receiving 715 citations

Hit Papers

The Intricate Relationshi... 2020 2026 2022 2024 2020 100 200 300 400

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Anca Ouatu 318 224 198 190 87 27 739
Song Lu 266 0.8× 251 1.1× 128 0.6× 109 0.6× 102 1.2× 23 646
Feruze Yılmaz Enç 327 1.0× 226 1.0× 124 0.6× 90 0.5× 162 1.9× 31 690
Xiao Liu 167 0.5× 196 0.9× 146 0.7× 249 1.3× 74 0.9× 44 811
Gemma Aragonès 275 0.9× 154 0.7× 328 1.7× 158 0.8× 206 2.4× 36 893
Jianmin Ran 232 0.7× 243 1.1× 180 0.9× 175 0.9× 147 1.7× 41 784
Adriana Sánchez‐García 240 0.8× 325 1.5× 150 0.8× 143 0.8× 93 1.1× 36 814
Debora Donnini 415 1.3× 232 1.0× 125 0.6× 176 0.9× 145 1.7× 23 716
Kalliopi Pafili 326 1.0× 287 1.3× 170 0.9× 144 0.8× 205 2.4× 39 865
Derya Koçer 186 0.6× 303 1.4× 141 0.7× 79 0.4× 73 0.8× 39 879
Verónica Miksztowicz 312 1.0× 206 0.9× 170 0.9× 291 1.5× 164 1.9× 47 869

Countries citing papers authored by Anca Ouatu

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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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.

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