V. Landa

614 total citations
40 papers, 502 citations indexed

About

V. Landa is a scholar working on Molecular Biology, Genetics and Public Health, Environmental and Occupational Health. According to data from OpenAlex, V. Landa has authored 40 papers receiving a total of 502 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 11 papers in Genetics and 10 papers in Public Health, Environmental and Occupational Health. Recurrent topics in V. Landa's work include Reproductive Biology and Fertility (10 papers), Adipose Tissue and Metabolism (7 papers) and Animal Genetics and Reproduction (6 papers). V. Landa is often cited by papers focused on Reproductive Biology and Fertility (10 papers), Adipose Tissue and Metabolism (7 papers) and Animal Genetics and Reproduction (6 papers). V. Landa collaborates with scholars based in Czechia, United States and Russia. V. Landa's co-authors include Michal Pravenec, Václav Zı́dek, Petr Mlejnek, K. Sláma, P. Masner, Jan Šilhavý, V. Kopečný, Miroslava Šimáková, A. Pavlok and L Kazdová and has published in prestigious journals such as Nature, Development and International Journal of Obesity.

In The Last Decade

V. Landa

38 papers receiving 468 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
V. Landa Czechia 12 214 98 95 84 67 40 502
Michael Clark United States 11 273 1.3× 48 0.5× 55 0.6× 104 1.2× 13 0.2× 18 564
Tamara Pulpitel Australia 11 258 1.2× 296 3.0× 64 0.7× 52 0.6× 72 1.1× 23 654
P Blažiček Slovakia 15 120 0.6× 123 1.3× 57 0.6× 8 0.1× 56 0.8× 36 577
M. Arnal France 15 149 0.7× 229 2.3× 70 0.7× 9 0.1× 25 0.4× 47 676
Simone Poddighe Italy 14 148 0.7× 47 0.5× 54 0.6× 107 1.3× 14 0.2× 17 496
Arturo Alisio United States 12 189 0.9× 38 0.4× 56 0.6× 11 0.1× 158 2.4× 18 536
Denis Cyr Canada 14 209 1.0× 255 2.6× 63 0.7× 11 0.1× 12 0.2× 25 591
Xing Yang China 15 264 1.2× 70 0.7× 57 0.6× 14 0.2× 507 7.6× 47 1.2k
Mieko Saito Japan 11 74 0.3× 50 0.5× 40 0.4× 35 0.4× 11 0.2× 20 352
Joana Vieira Silva Portugal 16 224 1.0× 33 0.3× 94 1.0× 18 0.2× 183 2.7× 38 608

Countries citing papers authored by V. Landa

Since Specialization
Citations

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

Fields of papers citing papers by V. Landa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of V. Landa

This figure shows the co-authorship network connecting the top 25 collaborators of V. Landa. A scholar is included among the top collaborators of V. Landa 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 V. Landa. V. Landa 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.
Škop, Vojtěch, Jaroslava Trnovská, Olena Oliyarnyk, et al.. (2016). Hepatotoxic Effects of Fenofibrate in Spontaneously Hypertensive Rats Expressing Human C-Reactive Protein. Physiological Research. 65(6). 891–899. 13 indexed citations
2.
Trnovská, Jaroslava, Jan Šilhavý, Václav Zı́dek, et al.. (2015). Gender-Related Effects on Substrate Utilization and Metabolic Adaptation in Hairless Spontaneously Hypertensive Rat. Physiological Research. 64(1). 51–60. 6 indexed citations
3.
Šilhavý, Jan, Václav Zı́dek, V. Landa, et al.. (2015). Rosuvastatin Ameliorates Inflammation, Renal Fat Accumulation, and Kidney Injury in Transgenic Spontaneously Hypertensive Rats Expressing Human C-Reactive Protein. Physiological Research. 64(3). 295–301. 5 indexed citations
4.
Landa, V., Václav Zı́dek, Petr Mlejnek, et al.. (2014). Sterol Regulatory Element Binding Protein 2 Overexpression Is Associated With Reduced Adipogenesis and Ectopic Fat Accumulation in Transgenic Spontaneously Hypertensive Rats. Physiological Research. 63(5). 587–590. 7 indexed citations
5.
Pravenec, Michal, Jan Šilhavý, Václav Zı́dek, et al.. (2014). Fumaric acid esters can block pro-inflammatory actions of human CRP and ameliorate metabolic disturbances in transgenic spontaneously hypertensive rats. Atherosclerosis. 235(2). e268–e268. 5 indexed citations
6.
Šilhavý, Jan, Václav Zı́dek, V. Landa, et al.. (2014). Rosuvastatin can block pro-inflammatory actions of transgenic human CRP without reducing its circulating levels. MDC Repository (Max-Delbrueck-Center for Molecular Medicine). 3 indexed citations
7.
Zı́dek, Václav, Petr Mlejnek, Jan Šilhavý, et al.. (2013). Tissue-Specific Peroxisome Proliferator Activated Receptor Gamma Expression and Metabolic Effects of Telmisartan. American Journal of Hypertension. 26(6). 829–835. 10 indexed citations
8.
Pravenec, Michal, Viktor Kožich, Jakub Krijt, et al.. (2012). Folate Deficiency Is Associated With Oxidative Stress, Increased Blood Pressure, and Insulin Resistance in Spontaneously Hypertensive Rats. American Journal of Hypertension. 26(1). 135–140. 78 indexed citations
9.
Pravenec, Michal, Ludmila Kazdová, Monika Cahová, et al.. (2006). Fat-specific transgenic expression of resistin in the spontaneously hypertensive rat impairs fatty acid re-esterification. International Journal of Obesity. 30(7). 1157–1159. 16 indexed citations
10.
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
11.
Poplštein, Martin, et al.. (2004). Generation and Phenotypic Analysis of a Transgenic Line of Rabbits Secreting Active Recombinant Human Erythropoietin in the Milk. Transgenic Research. 13(5). 487–498. 9 indexed citations
12.
Pravenec, Michal, V. Landa, Václav Zı́dek, et al.. (2003). Transgenic expression of CD36 in the spontaneously hypertensive rat is associated with amelioration of metabolic disturbances but has no effect on hypertension.. Physiological Research. 52(6). 681–688. 48 indexed citations
13.
14.
Liška, František, G. Levan, Khalil Helou, et al.. (2002). Chromosome Assignment of Cd36 Transgenes in Two Rat SHR Lines by FISH and Linkage Mapping of Transgenic Insert in the SHR-TG19 Line. Folia Biologica. 48(4). 139–144. 2 indexed citations
15.
Malý, Petr, et al.. (2001). Expression of Human Erythropoietin Gene in the Mammary Gland of a Transgenic Mouse. Folia Biologica. 47(6). 187–195. 11 indexed citations
16.
Landa, V. & V. Kopečný. (1995). DNA synthesis and distribution in parthenogenetic bovine embryos. Theriogenology. 43(5). 871–881. 4 indexed citations
17.
Kopečný, V., V. Landa, & A. Pavlok. (1995). Localization of nucleic acids in the nucleoli of oocytes and early embryos of mouse and hamster: An autoradiographic study. Molecular Reproduction and Development. 41(4). 449–458. 41 indexed citations
18.
Landa, V.. (1975). Activity and subcellular localization of proteolytic enzymes of boar and rabbit spermatozoa.. PubMed. 21(3). 192–5. 1 indexed citations
19.
Landa, V., et al.. (1971). Effects of chemosterilants on reproductive organs and embryogenesis in insects.. 173–182. 5 indexed citations
20.

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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