Hana Rauchová

1.5k total citations
90 papers, 1.3k citations indexed

About

Hana Rauchová is a scholar working on Molecular Biology, Physiology and Clinical Biochemistry. According to data from OpenAlex, Hana Rauchová has authored 90 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Molecular Biology, 28 papers in Physiology and 18 papers in Clinical Biochemistry. Recurrent topics in Hana Rauchová's work include Mitochondrial Function and Pathology (36 papers), Metabolism and Genetic Disorders (17 papers) and Adipose Tissue and Metabolism (16 papers). Hana Rauchová is often cited by papers focused on Mitochondrial Function and Pathology (36 papers), Metabolism and Genetic Disorders (17 papers) and Adipose Tissue and Metabolism (16 papers). Hana Rauchová collaborates with scholars based in Czechia, Slovakia and Italy. Hana Rauchová's co-authors include Z Drahota, Giorgio Lenaz, Martina Vokurková, Josef Zicha, J Koudelová, Martin Kalous, Jaroslav Kuneš, Romana Fato, Ivana Vaněčková and Silvie Hojná and has published in prestigious journals such as Analytical Biochemistry, Biochemical and Biophysical Research Communications and FEBS Letters.

In The Last Decade

Hana Rauchová

90 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hana Rauchová Czechia 21 716 348 199 163 162 90 1.3k
Bruno Fink Germany 21 539 0.8× 717 2.1× 332 1.7× 239 1.5× 84 0.5× 41 1.6k
Andries J. Gilde Netherlands 12 665 0.9× 405 1.2× 382 1.9× 66 0.4× 118 0.7× 13 1.2k
Lucia Cavallini Italy 23 743 1.0× 329 0.9× 112 0.6× 81 0.5× 66 0.4× 71 1.5k
Samantha J. Clarke United Kingdom 10 1.6k 2.2× 275 0.8× 231 1.2× 73 0.4× 43 0.3× 10 2.4k
Véronique Maupoil France 24 427 0.6× 307 0.9× 436 2.2× 123 0.8× 89 0.5× 65 1.6k
Pedro Gomes Portugal 25 798 1.1× 339 1.0× 124 0.6× 200 1.2× 190 1.2× 57 1.6k
T. Metsä‐Ketelä Finland 24 473 0.7× 571 1.6× 274 1.4× 221 1.4× 110 0.7× 73 1.9k
Lindsay S. Burwell United States 12 833 1.2× 593 1.7× 191 1.0× 200 1.2× 38 0.2× 12 1.6k
A Ziegelhöffer Slovakia 21 738 1.0× 264 0.8× 556 2.8× 72 0.4× 102 0.6× 143 1.5k
Marilva Pistolese Italy 9 1.2k 1.7× 297 0.9× 141 0.7× 109 0.7× 30 0.2× 9 1.7k

Countries citing papers authored by Hana Rauchová

Since Specialization
Citations

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

Fields of papers citing papers by Hana Rauchová

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hana Rauchová

This figure shows the co-authorship network connecting the top 25 collaborators of Hana Rauchová. A scholar is included among the top collaborators of Hana Rauchová 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 Hana Rauchová. Hana Rauchová 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.
Rauchová, Hana, et al.. (2023). Sex differences in blood pressure, free radicals and plasma cholesterol fractions in Ren-2 transgenic rats of various ages. Physiological Research. 72(Vol 72(2)). 167–175. 4 indexed citations
2.
Hojná, Silvie, Zdeňka Vaňourková, Hana Rauchová, et al.. (2022). Empagliflozin Is Not Renoprotective in Non-Diabetic Rat Models of Chronic Kidney Disease. Biomedicines. 10(10). 2509–2509. 8 indexed citations
3.
4.
Hojná, Silvie, Hana Rauchová, Hana Malínská, et al.. (2021). Antihypertensive and metabolic effects of empagliflozin in Ren-2 transgenic rats, an experimental non-diabetic model of hypertension. Biomedicine & Pharmacotherapy. 144. 112246–112246. 16 indexed citations
5.
Hojná, Silvie, et al.. (2019). Role of angiotensin II in chronic blood pressure control of heterozygous Ren-2 transgenic rats: Peripheral vasoconstriction versus central sympathoexcitation. Biomedicine & Pharmacotherapy. 116. 108996–108996. 8 indexed citations
6.
Vaněčková, Ivana, et al.. (2018). CHRONIC KIDNEY DISEASE IN Ren-2 TRANSGENIC RATS AND ITS TREATMENT WITH ENDOTHELIN RECEPTOR ANTAGONISTS. Pathophysiology. 25(3). 162–162. 1 indexed citations
7.
Vokurková, Martina, et al.. (2015). ROS Production Is Increased in the Kidney but Not in the Brain of Dahl Rats With Salt Hypertension Elicited in Adulthood. Physiological Research. 64(3). 303–312. 10 indexed citations
8.
Endlicher, René, et al.. (2009). Peroxidative damage of mitochondrial respiration is substrate-dependent. Physiological Research. 58(5). 685–692. 20 indexed citations
9.
Rauchová, Hana, Oľga Pecháňová, Jaroslav Kuneš, et al.. (2005). Chronic N-Acetylcysteine Administration Prevents Development of Hypertension in N.OMEGA.-Nitro-L-Arginine Methyl Ester-Treated Rats: The Role of Reactive Oxygen Species. Hypertension Research. 28(5). 475–482. 39 indexed citations
10.
Popinigis, Jerzy, Jędrzej Antosiewicz, Jan Jacek Kaczor, Hana Rauchová, & Giorgio Lenaz. (2004). Oxidation of glycerol-3-phosphate in porcine and bovineadrenal cortex mitochondria.. Acta Biochimica Polonica. 51(4). 1075–1080. 2 indexed citations
11.
Rauchová, Hana, Gisela Zachařová, & T. Soukup. (2004). Influence of Chronically Altered Thyroid Status on the Activity of Liver Mitochondrial Glycerol-3-phosphate Dehydrogenase in Female Inbred Lewis Rats. Hormone and Metabolic Research. 36(5). 286–290. 13 indexed citations
12.
Rauchová, Hana, et al.. (2002). Hypoxia-Induced Lipid Peroxidation in Rat Brain and Protective Effect of Carnitine and Phosphocreatine. Neurochemical Research. 27(9). 899–904. 26 indexed citations
13.
Rauchová, Hana, et al.. (2001). Postnatal development of energy metabolism in the rat brain. Physiological Research. 50(3). 315–319. 13 indexed citations
14.
Rauchová, Hana, et al.. (1998). High-density lipoprotein subclasses and esterification rate of cholesterol in children: effect of gender and age. Acta Paediatrica. 87(9). 918–923. 1 indexed citations
15.
Lenaz, Giorgio, Giovanna Parenti Castelli, Romana Fato, et al.. (1997). Coenzyme Q deficiency in mitochondria: Kinetic saturation versus physical saturation. Molecular Aspects of Medicine. 18. 25–31. 26 indexed citations
16.
Červinková, Zuzana, et al.. (1997). The effect of triiodothyronine on cell oxidative capacity in regenerating rat liver.. PubMed. 46(3). 237–40. 2 indexed citations
17.
Drahota, Z, et al.. (1995). Dicarbanonaborates - New Inhibitors of Mitochondrial L-Glycerol-3-Phosphate Dehydrogenase. Biochemical and Biophysical Research Communications. 210(3). 760–765. 5 indexed citations
18.
Lenaz, Giorgio, Romana Fato, Cinzia Castelluccio, et al.. (1994). An updating of the biochemical function of Coenzyme Q in mitochondria. Molecular Aspects of Medicine. 15. s29–s36. 27 indexed citations
19.
20.
Rauchová, Hana & Z Drahota. (1986). [The glycerophosphate cycle and its significance in the regulation of cell metabolism].. PubMed. 35(4). 289–305. 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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