Regina Wikinski

798 total citations
33 papers, 640 citations indexed

About

Regina Wikinski is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery and Cancer Research. According to data from OpenAlex, Regina Wikinski has authored 33 papers receiving a total of 640 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Endocrinology, Diabetes and Metabolism, 11 papers in Surgery and 9 papers in Cancer Research. Recurrent topics in Regina Wikinski's work include Diabetes, Cardiovascular Risks, and Lipoproteins (12 papers), Lipoproteins and Cardiovascular Health (9 papers) and Cancer, Lipids, and Metabolism (7 papers). Regina Wikinski is often cited by papers focused on Diabetes, Cardiovascular Risks, and Lipoproteins (12 papers), Lipoproteins and Cardiovascular Health (9 papers) and Cancer, Lipids, and Metabolism (7 papers). Regina Wikinski collaborates with scholars based in Argentina, France and Japan. Regina Wikinski's co-authors include Laura Schreier, Gabriela Berg, Fernando Brites, Graciela López, Jean‐Charles Fruchart, Graciela Castro, Martín Donato, Ricardo J. Gelpi, Verónica D’Annunzio and Verónica Miksztowicz and has published in prestigious journals such as Arteriosclerosis Thrombosis and Vascular Biology, Archives of Biochemistry and Biophysics and Clinica Chimica Acta.

In The Last Decade

Regina Wikinski

31 papers receiving 623 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Regina Wikinski Argentina 17 208 190 139 130 117 33 640
Srikanth Koneru United States 14 77 0.4× 147 0.8× 191 1.4× 273 2.1× 114 1.0× 28 989
Lars Eikvar Norway 15 108 0.5× 138 0.7× 70 0.5× 162 1.2× 151 1.3× 26 655
Süha Aydın Türkiye 18 83 0.4× 432 2.3× 81 0.6× 69 0.5× 47 0.4× 35 755
Susan J. Murdoch United States 14 423 2.0× 223 1.2× 26 0.2× 155 1.2× 188 1.6× 19 722
H. Leweling Germany 12 73 0.4× 99 0.5× 83 0.6× 51 0.4× 150 1.3× 41 703
So Ra Kim South Korea 14 179 0.9× 105 0.6× 29 0.2× 42 0.3× 145 1.2× 26 618
Jidong Cheng China 17 256 1.2× 210 1.1× 285 2.1× 131 1.0× 309 2.6× 36 1.3k
Stefano Ministrini Italy 16 134 0.6× 160 0.8× 48 0.3× 187 1.4× 188 1.6× 59 846
Jie Teng China 17 39 0.2× 214 1.1× 58 0.4× 116 0.9× 102 0.9× 49 1.0k
Jianqiu Gu China 16 156 0.8× 171 0.9× 201 1.4× 41 0.3× 169 1.4× 28 989

Countries citing papers authored by Regina Wikinski

Since Specialization
Citations

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

Fields of papers citing papers by Regina Wikinski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Regina Wikinski

This figure shows the co-authorship network connecting the top 25 collaborators of Regina Wikinski. A scholar is included among the top collaborators of Regina Wikinski 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 Regina Wikinski. Regina Wikinski 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.
Miksztowicz, Verónica, Bruno Buchholz, Verónica D’Annunzio, et al.. (2026). Efecto de la rosuvastatina sobre el infarto experimental en conejos normales e hipercolesterolémicos. Revista Argentina de Cardiología. 76(2). 118–123.
2.
Wikinski, Regina, et al.. (2013). Epidemiología Inversa: baja concentración de LDL modificadas y morbimortalidad cardiovascular en pacientes en hemodiálisis. Acta bioquímica clínica latinoamericana. 47(1). 95–100.
3.
Lucero, Diego, Valeria Zago, Graciela López, et al.. (2010). Does non-alcoholic fatty liver impair alterations of plasma lipoproteins and associated factors in metabolic syndrome?. Clinica Chimica Acta. 412(7-8). 587–592. 25 indexed citations
4.
Donato, Martín, Verónica D’Annunzio, Bruno Buchholz, et al.. (2009). Role of matrix metalloproteinase‐2 in the cardioprotective effect of ischaemic postconditioning. Experimental Physiology. 95(2). 274–281. 26 indexed citations
5.
D’Annunzio, Verónica, Martín Donato, Verónica Miksztowicz, et al.. (2009). Rosuvastatin Given During Reperfusion Decreases Infarct Size and Inhibits Matrix Metalloproteinase-2 Activity in Normocholesterolemic and Hypercholesterolemic Rabbits. Journal of Cardiovascular Pharmacology. 53(2). 137–144. 24 indexed citations
6.
Miksztowicz, Verónica, María Luz Muzzio, Monique Royer, et al.. (2008). Increased plasma activity of metalloproteinase 2 in women with metabolic syndrome. Metabolism. 57(11). 1493–1496. 39 indexed citations
7.
Brites, Fernando, et al.. (2006). Chronic renal failure in diabetic patients increases lipid risk factors for atherosclerosis. Diabetes Research and Clinical Practice. 75(1). 35–41. 5 indexed citations
8.
D’Annunzio, Verónica, et al.. (2005). Hypercholesterolemia attenuates postischemic ventricular dysfunction in the isolated rabbit heart. Molecular and Cellular Biochemistry. 273(1-2). 137–143. 10 indexed citations
9.
Schreier, Laura, et al.. (2005). Endogenous Hypertriglyceridemia Intensifies the Course of Cerulein-Induced Pancreatitis in Rat: Relation with Changes in the VLDL Composition. Annals of Nutrition and Metabolism. 50(1). 37–44. 7 indexed citations
10.
Palma, Antonio, et al.. (2004). Síndrome metabólico en mujeres obesas.: Evaluación de biomarcadores de resistencia insulínica y lipoproteicos. Acta bioquímica clínica latinoamericana. 38(4). 481–488. 1 indexed citations
11.
12.
Batthyány, Carlos, Andrés Trostchansky, Horacio Botti, et al.. (2004). Nitric oxide inhibits prooxidant actions of uric acid during copper-mediated LDL oxidation. Archives of Biochemistry and Biophysics. 423(2). 302–308. 19 indexed citations
13.
Schreier, Laura, et al.. (2004). Utility of non-high-density lipoprotein cholesterol in hemodialyzed patients. Metabolism. 53(8). 1013–1015. 5 indexed citations
14.
Schreier, Laura, et al.. (2003). Lipoprotein alterations in hemodialysis: Differences between diabetic and nondiabetic patients. Metabolism. 52(1). 116–121. 18 indexed citations
15.
Evelson, Pablo, Marina Travacio, Gabriela Jaita, et al.. (2002). Higher antioxidant defences in plasma and low density lipoproteins from rugby players. European Journal of Clinical Investigation. 32(11). 818–825. 43 indexed citations
16.
Schreier, Laura, et al.. (2001). Diagnóstico bioquímico de las dislipemias en el adulto. Acta bioquímica clínica latinoamericana. 35(2). 225–236. 1 indexed citations
17.
Wikinski, Regina, et al.. (2000). Premenopause contraception with monthly injectable Mesigyna® with special emphasis on serum lipid and bone density patterns. Contraception. 61(5). 317–322. 13 indexed citations
18.
19.
Schreier, Laura, et al.. (1993). Colesterol - idl y / o colesterol - beta - vldl : un nuevo parámetro en diferentes fenotipos lipoproteicos. Acta bioquímica clínica latinoamericana. 27(1). 65–74. 1 indexed citations
20.
Berg, Gabriela, et al.. (1992). Lipoproteínas de densidad intermedia y lipasa hepática en mujeres post-menopáusicas. Medicina-buenos Aires. 1 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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