J. Vácha

1.0k total citations
64 papers, 829 citations indexed

About

J. Vácha is a scholar working on Physiology, Molecular Biology and Pharmacology. According to data from OpenAlex, J. Vácha has authored 64 papers receiving a total of 829 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Physiology, 16 papers in Molecular Biology and 9 papers in Pharmacology. Recurrent topics in J. Vácha's work include Pharmacogenetics and Drug Metabolism (9 papers), Erythrocyte Function and Pathophysiology (7 papers) and Biochemical and Molecular Research (7 papers). J. Vácha is often cited by papers focused on Pharmacogenetics and Drug Metabolism (9 papers), Erythrocyte Function and Pathophysiology (7 papers) and Biochemical and Molecular Research (7 papers). J. Vácha collaborates with scholars based in Czechia, India and Slovakia. J. Vácha's co-authors include Lýdie Izakovičová Hollá, V. Znojil, J. Seifert, J. Holá, Anna Vašků, M. Höfer, M. Pospíšil, Michal Jurajda, J Netíková and Jan Mužı́k and has published in prestigious journals such as Blood, Annals of the Rheumatic Diseases and Archives of Biochemistry and Biophysics.

In The Last Decade

J. Vácha

62 papers receiving 795 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
J. Vácha Czechia 17 246 199 162 130 104 64 829
V. Znojil Czechia 17 234 1.0× 143 0.7× 169 1.0× 138 1.1× 79 0.8× 50 766
Thomas C. Knauss United States 19 137 0.6× 400 2.0× 87 0.5× 107 0.8× 38 0.4× 33 1.4k
Yoshitsugu Kubota Japan 20 86 0.3× 355 1.8× 215 1.3× 126 1.0× 69 0.7× 75 1.1k
Joshua DeLeon United States 11 121 0.5× 294 1.5× 247 1.5× 117 0.9× 68 0.7× 20 772
Carl‐Gustav Groth Sweden 25 188 0.8× 630 3.2× 65 0.4× 123 0.9× 26 0.3× 64 2.4k
Simona Buelli Italy 22 199 0.8× 377 1.9× 113 0.7× 524 4.0× 35 0.3× 27 1.6k
James O. Shaw United States 18 204 0.8× 274 1.4× 191 1.2× 483 3.7× 38 0.4× 23 1.3k
Alfonso Oriente Italy 16 225 0.9× 322 1.6× 100 0.6× 455 3.5× 48 0.5× 32 1.2k
Katsuro Yagawa Japan 17 48 0.2× 189 0.9× 182 1.1× 180 1.4× 34 0.3× 56 752
Noriaki Iino Japan 19 133 0.5× 524 2.6× 114 0.7× 87 0.7× 41 0.4× 66 1.4k

Countries citing papers authored by J. Vácha

Since Specialization
Citations

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

Fields of papers citing papers by J. Vácha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J. Vácha

This figure shows the co-authorship network connecting the top 25 collaborators of J. Vácha. A scholar is included among the top collaborators of J. Vácha 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 J. Vácha. J. Vácha 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.
2.
Hollá, Lýdie Izakovičová, et al.. (2003). Two CD14 promoter polymorphisms and atopic phenotypes in Czech patients with IgE‐mediated allergy. Allergy. 58(10). 1023–1026. 51 indexed citations
3.
Beránek, Michal, et al.. (2003). Genetic variation in the promoter region of the basic fibroblast growth factor gene. Human Immunology. 64(3). 374–377. 14 indexed citations
4.
Jurajda, Michal, Jan Mužı́k, Lýdie Izakovičová Hollá, & J. Vácha. (2002). A newly identified single nucleotide polymorphism in the promoter of the matrix metalloproteinase-1 gene. Molecular and Cellular Probes. 16(1). 63–66. 22 indexed citations
5.
Hollá, Lýdie Izakovičová, et al.. (2002). Prevalence of endothelial nitric oxide synthase gene polymorphisms in patients with atopic asthma. Clinical & Experimental Allergy. 32(8). 1193–1198. 30 indexed citations
6.
Vašků, Anna, Lenka Špinarová, Monika Pávková Goldbergová, et al.. (2002). The Double Heterozygote of Two Endothelin-1 Gene Polymorphisms (G8002A and -3A/-4A) Is Related to Big Endothelin Levels in Chronic Heart Failure. Experimental and Molecular Pathology. 73(3). 230–233. 18 indexed citations
7.
Vašků, Vladimı́r, et al.. (2002). Genotype Association of C(-735)T Polymorphism in Matrix Metalloproteinase 2 Gene with G(8002)A Endothelin 1 Gene with Plaque Psoriasis. Dermatology. 204(4). 262–265. 25 indexed citations
8.
Kaňková, Kateřina, et al.. (2002). Relations among serum ferritin, C282Y and H63D mutations in the HFE gene and type 2 diabetes mellitus in the Czech population. Experimental and Clinical Endocrinology & Diabetes. 110(5). 223–229. 8 indexed citations
9.
Vašků, Vladimı́r, Kateřina Kaňková, Anna Vašků, et al.. (2002). Gene polymorphisms (G82S, 1704G/T, 2184A/G and 2245G/A) of the receptor of advanced glycation end products (RAGE) in plaque psoriasis. Archives of Dermatological Research. 294(3). 127–130. 23 indexed citations
10.
11.
Pospísil, M, M. Höfer, V. Znojil, et al.. (1998). Granulocyte colony‐stimulating factor and drugs elevating extracellular adenosine synergize to enhance haematopoietic reconstitution in irradiated mice. European Journal Of Haematology. 60(3). 172–180. 28 indexed citations
12.
Vácha, J., et al.. (1990). Ferrokinetics and erythropoiesis in mice after long-term inhalation of benzene. Annals of Hematology. 60(1). 41–47. 10 indexed citations
13.
Pospíšil, M., et al.. (1988). Interstrain differences in the responsiveness of mice to glucan with respect to hematological effects and manifestations of late damage. Experimental Pathology. 33(1). 27–36. 6 indexed citations
14.
Vácha, J., et al.. (1988). The fall in the incorporation of labelled iron into the bone marrow during enhanced erythropoiesis: This paradox explained by changes in ferrokinetics and cytokinetics using the model of mice affected by thyroid hormones. International Journal of Radiation Applications and Instrumentation Part B Nuclear Medicine and Biology. 15(4). 373–380. 2 indexed citations
15.
Vácha, J., et al.. (1985). The Effect of Acute Gamma Irradiation of the Head on the Erythropoiesis in Various Regions of the Hemopoietic System in Mice. Acta Veterinaria Brno. 54(3-4). 189–205. 1 indexed citations
16.
Vácha, J., et al.. (1984). Iron Kinetics in Individual Bone Marrow Regions (Bones) in Mice. Acta Veterinaria Brno. 53(3-4). 119–136. 4 indexed citations
17.
Vácha, J., et al.. (1982). The Internal Iron Kinetics in Mice. Acta Veterinaria Brno. 51(1-4). 3–22. 6 indexed citations
18.
Vácha, J., et al.. (1978). Determination of heme and non-heme iron content of mouse erythropoietic organs.. Munich Personal RePEc Archive (Ludwig Maximilian University of Munich). 6(9). 718–24. 15 indexed citations
19.
Seifert, J. & J. Vácha. (1975). SEX-DEPENDENT DIFFERENCES IN THE BIOSYNTHESIS OF PYRIMIDINE NUCLEOTIDES IN RAT LIVER AFTER REPEATED ADMINISTRATION OFα-HEXACHLOROCYCLOHEXANE. Drug Metabolism and Disposition. 3(6). 430–436. 6 indexed citations
20.
Vácha, J., et al.. (1975). Proceedings: The analysis of visual evoked potential components.. Munich Personal RePEc Archive (Ludwig Maximilian University of Munich). 39(5). 546–546. 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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