Adriana Cimponeriu

841 total citations
15 papers, 683 citations indexed

About

Adriana Cimponeriu is a scholar working on Endocrinology, Diabetes and Metabolism, Genetics and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Adriana Cimponeriu has authored 15 papers receiving a total of 683 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Endocrinology, Diabetes and Metabolism, 6 papers in Genetics and 5 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Adriana Cimponeriu's work include Estrogen and related hormone effects (6 papers), Hormonal and reproductive studies (4 papers) and Cardiovascular Health and Disease Prevention (4 papers). Adriana Cimponeriu is often cited by papers focused on Estrogen and related hormone effects (6 papers), Hormonal and reproductive studies (4 papers) and Cardiovascular Health and Disease Prevention (4 papers). Adriana Cimponeriu collaborates with scholars based in Greece, United States and Netherlands. Adriana Cimponeriu's co-authors include Maria Alevizaki, John Lekakis, Christos Papamichael, John Kanakakis, Stamatios Stamatelopoulos, Kimon Stamatelopoulos, Theo Papaioannou, Anastasios Kalofoutis, Angeliki Papapanagiotou and Myron Mavrikakis and has published in prestigious journals such as The American Journal of Cardiology, Clinica Chimica Acta and Metabolism.

In The Last Decade

Adriana Cimponeriu

15 papers receiving 656 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 Cimponeriu Greece 13 277 224 200 185 89 15 683
Satoki Homma Japan 14 299 1.1× 151 0.7× 180 0.9× 133 0.7× 102 1.1× 33 773
B. O. Boehm Germany 13 154 0.6× 353 1.6× 129 0.6× 86 0.5× 97 1.1× 28 795
Miyuki Onishi Japan 15 403 1.5× 96 0.4× 129 0.6× 111 0.6× 57 0.6× 24 840
Steen Nielsen Denmark 12 191 0.7× 371 1.7× 119 0.6× 60 0.3× 56 0.6× 19 771
Simone Theilade Denmark 17 446 1.6× 219 1.0× 122 0.6× 61 0.3× 57 0.6× 51 960
A.D. Rao United States 15 169 0.6× 343 1.5× 235 1.2× 43 0.2× 81 0.9× 30 848
Charles C. White United States 14 150 0.5× 231 1.0× 312 1.6× 69 0.4× 32 0.4× 26 822
Y. Okuno Japan 9 153 0.6× 246 1.1× 113 0.6× 77 0.4× 37 0.4× 14 683
Kiichiro Fujisaki Japan 15 112 0.4× 112 0.5× 95 0.5× 115 0.6× 30 0.3× 43 700
Keiji Kono Japan 17 126 0.5× 56 0.3× 116 0.6× 118 0.6× 50 0.6× 66 660

Countries citing papers authored by Adriana Cimponeriu

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

15 of 15 papers shown
1.
Saltiki, Katerina, Aimilia Mantzou, Adriana Cimponeriu, et al.. (2012). Hormonal parameters and sex hormone receptor gene polymorphisms in men with autoimmune diseases. Rheumatology International. 33(3). 575–582. 18 indexed citations
2.
Saltiki, Katerina, et al.. (2011). Severity of coronary artery disease in postmenopausal women. Menopause The Journal of The North American Menopause Society. 18(11). 1225–1231. 10 indexed citations
3.
Alevizaki, Maria, Aimilia Mantzou, Adriana Cimponeriu, et al.. (2008). The Pro12Ala PPARγ gene polymorphism: possible modifier of the activity and severity of thyroid‐associated orbitopathy (TAO). Clinical Endocrinology. 70(3). 464–468. 14 indexed citations
4.
Alevizaki, Maria, Katerina Saltiki, Nectaria Xita, et al.. (2008). The importance of the (TAAAA)n alleles at the SHBG gene promoter for the severity of coronary artery disease in postmenopausal women. Menopause The Journal of The North American Menopause Society. 15(3). 461–468. 14 indexed citations
5.
Alevizaki, Maria, Adriana Cimponeriu, John Lekakis, Christos Papamichael, & George P. Chrousos. (2007). High anticipatory stress plasma cortisol levels and sensitivity to glucocorticoids predict severity of coronary artery disease in subjects undergoing coronary angiography. Metabolism. 56(2). 222–226. 46 indexed citations
6.
Alevizaki, Maria, Katerina Saltiki, Adriana Cimponeriu, et al.. (2007). Severity of cardiovascular disease in postmenopausal women: associations with common estrogen receptor α polymorphic variants. European Journal of Endocrinology. 156(4). 489–496. 44 indexed citations
7.
Alevizaki, Maria, et al.. (2006). The severity of cardiovascular disease in women is modified by estrogen receptor alpha polymorphic variants. 11. 1 indexed citations
8.
Lekakis, John, Christos Papamichael, Theodore G. Papaioannou, et al.. (2005). Intima–media Thickness Score from Carotid and Femoral Arteries Predicts the Extent of Coronary Artery Disease. International journal of cardiac imaging. 21(5). 495–501. 46 indexed citations
9.
Alevizaki, Maria, et al.. (2005). TSH may not be a good marker for adequate thyroid hormone replacement therapy. Wiener klinische Wochenschrift. 117(18). 636–640. 28 indexed citations
10.
Karatzis, Emmanouil, John Lekakis, Christos Papamichael, et al.. (2004). Rapid effect of pravastatin on endothelial function and lipid peroxidation in unstable angina. International Journal of Cardiology. 101(1). 65–70. 38 indexed citations
11.
Alevizaki, Maria, Adriana Cimponeriu, C.C. Alevizaki, et al.. (2003). The androgen receptor gene CAG polymorphism is associated with the severity of coronary artery disease in men. Clinical Endocrinology. 59(6). 749–755. 60 indexed citations
12.
Evangelopoulos, Dimitrios, Maria Alevizaki, John Lekakis, et al.. (2003). Molecular analysis of the estrogen receptor alpha gene in men with coronary artery disease: association with disease status. Clinica Chimica Acta. 331(1-2). 37–44. 18 indexed citations
13.
Lekakis, John, Christos Papamichael, Adriana Cimponeriu, et al.. (2000). Atherosclerotic changes of extracoronary arteries are associated with the extent of coronary atherosclerosis. The American Journal of Cardiology. 85(8). 949–952. 150 indexed citations
14.
Papamichael, Christos, John Lekakis, Kimon Stamatelopoulos, et al.. (2000). Ankle-brachial index as a predictor of the extent of coronary atherosclerosis and cardiovascular events in patients with coronary artery disease. The American Journal of Cardiology. 86(6). 615–618. 176 indexed citations
15.
Lekakis, John, Christos Papamichael, Κimon Stamatelopoulos, et al.. (1999). Hemochromatosis associated with endothelial dysfunction: evidence for the role of iron stores in early atherogenesis. Vascular Medicine. 4(3). 147–148. 20 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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