D Křenová

1.4k total citations
82 papers, 1.2k citations indexed

About

D Křenová is a scholar working on Molecular Biology, Genetics and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, D Křenová has authored 82 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Molecular Biology, 35 papers in Genetics and 22 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in D Křenová's work include Diet, Metabolism, and Disease (15 papers), Adipose Tissue and Metabolism (15 papers) and Genetic Mapping and Diversity in Plants and Animals (12 papers). D Křenová is often cited by papers focused on Diet, Metabolism, and Disease (15 papers), Adipose Tissue and Metabolism (15 papers) and Genetic Mapping and Diversity in Plants and Animals (12 papers). D Křenová collaborates with scholars based in Czechia, United States and Canada. D Křenová's co-authors include Vladimı́r Křen, Michal Pravenec, Ludmila Kazdová, Ond⊘řej Šeda, Lucie Šedová, Václav Zı́dek, František Liška, Elizabeth St. Lezin, Pavel Hamet and Miroslava Šimáková and has published in prestigious journals such as Journal of Clinical Investigation, PLoS ONE and Genome Research.

In The Last Decade

D Křenová

79 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
D Křenová Czechia 20 539 443 347 292 181 82 1.2k
Armelle Penhoat France 20 555 1.0× 231 0.5× 331 1.0× 554 1.9× 103 0.6× 53 1.4k
Yunhua L. Muller United States 22 660 1.2× 462 1.0× 296 0.9× 193 0.7× 63 0.3× 54 1.2k
Hong Jiao Sweden 19 582 1.1× 429 1.0× 239 0.7× 174 0.6× 73 0.4× 46 1.3k
Anette P. Gjesing Denmark 20 563 1.0× 399 0.9× 235 0.7× 289 1.0× 69 0.4× 47 1.1k
Danièlle Chabardès France 24 1.1k 2.1× 147 0.3× 222 0.6× 162 0.6× 102 0.6× 41 1.7k
Laura Almasy United States 11 353 0.7× 630 1.4× 240 0.7× 134 0.5× 88 0.5× 12 1.2k
K. Rajkumar Canada 16 287 0.5× 199 0.4× 103 0.3× 469 1.6× 110 0.6× 43 919
Amrita Kamat United States 18 348 0.6× 239 0.5× 175 0.5× 170 0.6× 33 0.2× 29 1.1k
Fabiana Cornejo Maciel Argentina 20 657 1.2× 171 0.4× 130 0.4× 222 0.8× 37 0.2× 48 1.1k
Thomas Sparsø Denmark 19 428 0.8× 373 0.8× 136 0.4× 176 0.6× 53 0.3× 32 863

Countries citing papers authored by D Křenová

Since Specialization
Citations

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

Fields of papers citing papers by D Křenová

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of D Křenová

This figure shows the co-authorship network connecting the top 25 collaborators of D Křenová. A scholar is included among the top collaborators of D Křenová 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 D Křenová. D Křenová 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.
Liška, František, Ludmila Kazdová, Lucie Šedová, et al.. (2018). Single-Gene Congenic Strain Reveals the Effect of Zbtb16 on Dexamethasone-Induced Insulin Resistance. Frontiers in Endocrinology. 9. 185–185. 8 indexed citations
2.
Šedová, Lucie, Michal Pravenec, D Křenová, et al.. (2016). Isolation of a Genomic Region Affecting Most Components of Metabolic Syndrome in a Chromosome-16 Congenic Rat Model. PLoS ONE. 11(3). e0152708–e0152708. 6 indexed citations
3.
Liška, František, Sigmar Stricker, Claudia Gösele, et al.. (2010). Impairment of Sox9 Expression in Limb Buds of Rats Homozygous for Hypodactyly Mutation. Folia Biologica. 56(2). 58–65. 1 indexed citations
4.
5.
Wang, Yongming, František Liška, Claudia Gösele, et al.. (2009). A novel active endogenous retrovirus family contributes to genome variability in rat inbred strains. Genome Research. 20(1). 19–27. 14 indexed citations
6.
Šedová, Lucie, Ond⊘řej Šeda, Ludmila Kazdová, et al.. (2007). Sucrose feeding during pregnancy and lactation elicits distinct metabolic response in offspring of an inbred genetic model of metabolic syndrome. American Journal of Physiology-Endocrinology and Metabolism. 292(5). E1318–E1324. 42 indexed citations
7.
Liška, František, Claudia Gösele, Vladimı́r Křen, Norbert Hübner, & D Křenová. (2004). Molecular Analysis of the Sex Hormone-Binding Globulin Gene in the Rat Hypodactylous Mutation (Hd). Folia Biologica. 50(2). 63–68. 4 indexed citations
8.
Pravenec, Michal, Václav Zı́dek, V. Landa, et al.. (2004). Genetic analysis of “metabolic syndrome” in the spontaneously hypertensive rat. Physiological Research. 53 Suppl 1. S15–S22. 40 indexed citations
9.
Šeda, Ond⊘řej, František Liška, D Křenová, et al.. (2003). Differential Linkage of Triglyceride and Glucose Levels on Rat Chromosome 4 in Two Segregating Rat Populations. Folia Biologica. 49(6). 223–226. 6 indexed citations
10.
Gillissen, Gert, Vladimı́r Křen, D Křenová, et al.. (2003). Genetic Map of AFLP Markers in the Rat (Rattus norvegicus) Derived from the H × B/Ipcv and B × H/Cub Sets of Recombinant Inbred Strains. Biochemical Genetics. 41(3-4). 77–89. 3 indexed citations
11.
Šeda, Ond⊘řej, Ludmila Kazdová, D Křenová, & Vladimı́r Křen. (2002). Rosiglitazone Improves Insulin Resistance, Lipid Profile and Promotes Adiposity in a Genetic Model of Metabolic Syndrome X. Folia Biologica. 48(6). 237–241. 18 indexed citations
12.
Pravenec, Michal, Václav Zı́dek, Alena Musilová, et al.. (2002). Genetic analysis of metabolic defects in the spontaneously hypertensive rat. Mammalian Genome. 13(5). 253–258. 14 indexed citations
13.
Šedová, Lucie, et al.. (2000). Rat Inbred PD/Cub Strain as a Model of Dyslipidemia and Insulin Resistance. Folia Biologica. 46(3). 99–106. 30 indexed citations
14.
Dumas, Pierre, Yulin Sun, Zdenka Pausová, et al.. (2000). Mapping of quantitative trait loci (QTL) of differential stress gene expression in rat recombinant inbred strains. Journal of Hypertension. 18(5). 545–551. 29 indexed citations
15.
Křenová, D, Daniel Housa, František Liška, et al.. (1999). Genetic analysis of the rat hypodactylous mutation.. PubMed. 45(3). 81–6.
16.
Pravenec, Michal, D Křenová, Vladimı́r Křen, et al.. (1999). Congenic strains for genetic analysis of hypertension and dyslipidemia in the spontaneously hypertensive rat. Transplantation Proceedings. 31(3). 1555–1556. 5 indexed citations
17.
Pravenec, Michal, Václav Zı́dek, Miroslava Šimáková, et al.. (1999). Genetics of Cd36 and the clustering of multiple cardiovascular risk factors in spontaneous hypertension. Journal of Clinical Investigation. 103(12). 1651–1657. 101 indexed citations
18.
Hamet, Pavel, Zdenka Pausová, Pierre Dumas, et al.. (1998). Newborn and adult recombinant inbred strains: A tool to search for genetic determinants of target organ damage in hypertension. Kidney International. 53(6). 1488–1492. 33 indexed citations
19.
Pravenec, Michal, Václav Zı́dek, Vladimı́r Křen, et al.. (1997). Mapping genes controlling hematocrit in the spontaneously hypertensive rat. Mammalian Genome. 8(6). 387–389. 13 indexed citations
20.
Křen, Vladimı́r, et al.. (1997). Rat genome mapping using recombinant inbred strains. Transplantation Proceedings. 29(3). 1768–1768. 2 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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