Adriana Georgescu

2.0k total citations
86 papers, 1.5k citations indexed

About

Adriana Georgescu is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology and Cancer Research. According to data from OpenAlex, Adriana Georgescu has authored 86 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Cardiology and Cardiovascular Medicine, 30 papers in Molecular Biology and 17 papers in Cancer Research. Recurrent topics in Adriana Georgescu's work include Extracellular vesicles in disease (17 papers), Cardiovascular Disease and Adiposity (14 papers) and MicroRNA in disease regulation (12 papers). Adriana Georgescu is often cited by papers focused on Extracellular vesicles in disease (17 papers), Cardiovascular Disease and Adiposity (14 papers) and MicroRNA in disease regulation (12 papers). Adriana Georgescu collaborates with scholars based in Romania, Czechia and Ukraine. Adriana Georgescu's co-authors include Nicoleta Alexandru, Doina Popov, Miruna Nemecz, Elisabeta Bădilă, Emanuel Dragan, Alina Constantin, Ewa Stępień, Alexandru Filippi, Maya Simionescu and Maria‐Luiza Flonta and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Diabetes.

In The Last Decade

Adriana Georgescu

79 papers receiving 1.5k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Adriana Georgescu Romania 23 769 370 369 215 204 86 1.5k
Huaqing Zhu China 25 868 1.1× 326 0.9× 402 1.1× 276 1.3× 245 1.2× 52 1.7k
Jingzhou Chen China 22 709 0.9× 428 1.2× 299 0.8× 158 0.7× 162 0.8× 84 1.5k
Ceren Eyileten Poland 24 747 1.0× 393 1.1× 548 1.5× 140 0.7× 158 0.8× 83 1.7k
Arash Haghikia Germany 21 682 0.9× 368 1.0× 196 0.5× 201 0.9× 364 1.8× 57 1.6k
Chi Dae Kim South Korea 26 811 1.1× 270 0.7× 248 0.7× 364 1.7× 297 1.5× 74 2.0k
Wenhui Peng China 23 593 0.8× 372 1.0× 187 0.5× 227 1.1× 200 1.0× 71 1.5k
Ying Yu China 23 412 0.5× 300 0.8× 215 0.6× 244 1.1× 223 1.1× 50 1.5k
Christophe Montessuit Switzerland 21 1.0k 1.3× 563 1.5× 220 0.6× 134 0.6× 362 1.8× 48 1.8k
Kimihiko Kato Japan 26 829 1.1× 376 1.0× 198 0.5× 167 0.8× 162 0.8× 83 1.9k
Naohiro Yano United States 26 819 1.1× 278 0.8× 164 0.4× 217 1.0× 408 2.0× 86 1.8k

Countries citing papers authored by Adriana Georgescu

Since Specialization
Citations

This map shows the geographic impact of Adriana Georgescu'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 Georgescu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Adriana Georgescu more than expected).

Fields of papers citing papers by Adriana Georgescu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Adriana Georgescu. 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 Georgescu. The network helps show where Adriana Georgescu may publish in the future.

Co-authorship network of co-authors of Adriana Georgescu

This figure shows the co-authorship network connecting the top 25 collaborators of Adriana Georgescu. A scholar is included among the top collaborators of Adriana Georgescu 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 Georgescu. Adriana Georgescu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Mogoantă, Carmen Aurelia, et al.. (2025). 10 Years of experience in the evaluation and management of pediatric neck masses. Romanian Journal of Morphology and Embryology. 65(4). 671–677.
2.
Kardassis, Dimitris, Cécile Vindis, Camelia S. Stancu, et al.. (2024). Unravelling molecular mechanisms in atherosclerosis using cellular models and omics technologies. Vascular Pharmacology. 158. 107452–107452. 1 indexed citations
3.
4.
Dascălu, Ana Maria, Dragoş Şerban, G Vancea, et al.. (2023). The Value of White Cell Inflammatory Biomarkers as Potential Predictors for Diabetic Retinopathy in Type 2 Diabetes Mellitus (T2DM). Biomedicines. 11(8). 2106–2106. 19 indexed citations
5.
Scafa‐Udriște, Alexandru, et al.. (2023). Progress in Biomaterials for Cardiac Tissue Engineering and Regeneration. Polymers. 15(5). 1177–1177. 18 indexed citations
6.
7.
Bădilă, Elisabeta, et al.. (2023). Cardiovascular Disease as a Consequence or a Cause of Cancer: Potential Role of Extracellular Vesicles. Biomolecules. 13(2). 321–321. 5 indexed citations
8.
Simiónescu, N, et al.. (2022). Microvesicles and Microvesicle-Associated microRNAs Reflect Glioblastoma Regression: Microvesicle-Associated miR-625-5p Has Biomarker Potential. International Journal of Molecular Sciences. 23(15). 8398–8398. 8 indexed citations
9.
Niculescu, Loredan S., et al.. (2017). Microparticles of healthy origins improve endothelial progenitor cell dysfunction via micro RNA transfer in an atherosclerotic hamster model. Acta Physiologica. 221(4). 230–249. 22 indexed citations
10.
Bădilă, Elisabeta, et al.. (2015). Midkine proteins in cardio-vascular disease.. European Journal of Pharmacology. 762. 464–471. 10 indexed citations
11.
Chen, Qingmin, Gisela Găină, Cătălin Ţucureanu, et al.. (2013). Activation profile of dorsal root ganglia Iba-1 (+) macrophages varies with the type of lesion in rats. Acta Histochemica. 115(8). 840–850. 38 indexed citations
12.
Popov, Doina, et al.. (2009). Long-term high glucose concentration influences Akt, ERK1/2, and PTP1B protein expression in human aortic smooth muscle cells. Biochemical and Biophysical Research Communications. 388(1). 51–55. 14 indexed citations
13.
Georgescu, Adriana, et al.. (2008). Application of two spectral methods to a problem of convection with uniform internal heat source. 30. 43–52.
14.
Georgescu, Adriana, Nicoleta Alexandru, E Constantinescu, & Doina Popov. (2006). Effect of gap junction uncoupler heptanol on resistance arteries reactivity in experimental models of diabetes, hyperlipemia and hyperlipemia-diabetes. Vascular Pharmacology. 44(6). 513–518. 12 indexed citations
15.
Georgescu, Adriana, et al.. (2006). Detection of DNA‐bound advanced glycation end‐products by immunoaffinity chromatography coupled to HPLC‐diode array detection. Molecular Nutrition & Food Research. 50(4-5). 424–429. 15 indexed citations
16.
Georgescu, Adriana, et al.. (2004). On instability of the magnetic Bénard problem with Hall and ion-slip effects. International Journal of Engineering Science. 42(10). 1001–1012. 4 indexed citations
17.
Radu, Dorel L., et al.. (2004). Double transgenic mice with Type 1 diabetes mellitus develop somatic, metabolic and vascular disorders. Journal of Cellular and Molecular Medicine. 8(3). 349–358. 9 indexed citations
18.
Popov, Doina, et al.. (2002). Beneficial effects of L -arginine supplementation in experimental hyperlipemia-hyperglycemia in the hamster. Cell and Tissue Research. 308(1). 109–120. 33 indexed citations
19.
Georgescu, Adriana, Doina Popov, & Maya Simionescu. (2001). Mechanisms of decreased bradykinin‐ induced vasodilation in experimental hyperlipemia–hyperglycemia: contribution of nitric oxide and Ca2+‐activated K+ channels. Fundamental and Clinical Pharmacology. 15(5). 335–342. 6 indexed citations
20.
Popov, Doina, et al.. (2000). The effects of simultaneous hyperlipemia-hyperglycemia on the resistance arteries, myocardium and kidney glomeruli.. PubMed. 32(1). 47–58. 8 indexed citations

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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