Jana Šáchová

782 total citations
19 papers, 549 citations indexed

About

Jana Šáchová is a scholar working on Molecular Biology, Oncology and Immunology. According to data from OpenAlex, Jana Šáchová has authored 19 papers receiving a total of 549 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 9 papers in Oncology and 4 papers in Immunology. Recurrent topics in Jana Šáchová's work include Cancer Cells and Metastasis (5 papers), Immunotherapy and Immune Responses (4 papers) and Cancer, Lipids, and Metabolism (2 papers). Jana Šáchová is often cited by papers focused on Cancer Cells and Metastasis (5 papers), Immunotherapy and Immune Responses (4 papers) and Cancer, Lipids, and Metabolism (2 papers). Jana Šáchová collaborates with scholars based in Czechia, Slovakia and Singapore. Jana Šáchová's co-authors include Michal Kolář, Hynek Strnad, Karel Smetana, Lukáš Lacina, Barbora Dvořánková, Čestmı́r Vlček, Eliška Krejčí, Miloš Grim, Daniela Kodetová and Jiří Štork and has published in prestigious journals such as Nature Communications, Scientific Reports and The Journal of Physical Chemistry Letters.

In The Last Decade

Jana Šáchová

19 papers receiving 541 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jana Šáchová Czechia 11 303 183 135 105 65 19 549
D. V. Maltseva Russia 17 561 1.9× 125 0.7× 279 2.1× 118 1.1× 51 0.8× 63 878
Izabela Sacewicz‐Hofman Poland 10 217 0.7× 105 0.6× 116 0.9× 69 0.7× 68 1.0× 14 397
Stacey Fossey United States 10 318 1.0× 246 1.3× 77 0.6× 107 1.0× 51 0.8× 16 596
Longyue L. Cao United States 9 420 1.4× 211 1.2× 82 0.6× 97 0.9× 48 0.7× 9 614
Fuxiang Bai China 12 225 0.7× 105 0.6× 100 0.7× 77 0.7× 60 0.9× 21 478
Ondřej Kodet Czechia 17 424 1.4× 362 2.0× 183 1.4× 222 2.1× 129 2.0× 44 897
Seunghyun Bang South Korea 14 298 1.0× 122 0.7× 65 0.5× 88 0.8× 203 3.1× 26 749
Vanessa Morales-Tirado United States 11 223 0.7× 112 0.6× 90 0.7× 142 1.4× 55 0.8× 26 540
Takuya Iyoda Japan 15 215 0.7× 69 0.4× 84 0.6× 99 0.9× 77 1.2× 37 540
Da Ma China 12 177 0.6× 192 1.0× 79 0.6× 160 1.5× 34 0.5× 34 564

Countries citing papers authored by Jana Šáchová

Since Specialization
Citations

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

Fields of papers citing papers by Jana Šáchová

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jana Šáchová

This figure shows the co-authorship network connecting the top 25 collaborators of Jana Šáchová. A scholar is included among the top collaborators of Jana Šáchová 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 Jana Šáchová. Jana Šáchová is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
1.
Šáchová, Jana, Miluše Hradilová, Kenneth J. Pienta, et al.. (2025). The HOX code of human adult fibroblasts reflects their ectomesenchymal or mesodermal origin. Histochemistry and Cell Biology. 163(1). 38–38. 2 indexed citations
2.
Gbelcová, Helena, Silvie Rimpelová, Tomáš Ruml, et al.. (2024). Highly variable biological effects of statins on cancer, non-cancer, and stem cells in vitro. Scientific Reports. 14(1). 11830–11830. 1 indexed citations
3.
4.
Cihlářová, Zuzana, Jan Kubovčiak, Margarita Sobol, et al.. (2022). BRAT1 links Integrator and defective RNA processing with neurodegeneration. Nature Communications. 13(1). 5026–5026. 15 indexed citations
5.
Šáchová, Jana, et al.. (2022). Different Mechanisms of DNA Radiosensitization by 8-Bromoadenosine and 2′-Deoxy-2′-fluorocytidine Observed on DNA Origami Nanoframe Supports. The Journal of Physical Chemistry Letters. 13(17). 3922–3928. 7 indexed citations
6.
Strnadová, Karolína, P. Přikryl, Barbora Dvořánková, et al.. (2021). Exosomes produced by melanoma cells significantly influence the biological properties of normal and cancer-associated fibroblasts. Histochemistry and Cell Biology. 157(2). 153–172. 27 indexed citations
7.
Kolář, Michal, Árpád Szabó, Lukáš Lacina, et al.. (2021). Desmoplastic Crosstalk in Pancreatic Ductal Adenocarcinoma Is Reflected by Different Responses of Panc-1, MIAPaCa-2, PaTu-8902, and CAPAN-2 Cell Lines to Cancer-associated/Normal Fibroblasts. Cancer Genomics & Proteomics. 18(3). 221–243. 10 indexed citations
8.
Hanzlíková, Hana, Evgeniia Prokhorova, Kateřina Krejčíková, et al.. (2020). Pathogenic ARH3 mutations result in ADP-ribose chromatin scars during DNA strand break repair. Nature Communications. 11(1). 3391–3391. 35 indexed citations
9.
10.
Alquicer, Glenda, et al.. (2020). A rapid approach for in locus overexpression of Trypanosoma brucei proteins. Molecular and Biochemical Parasitology. 239. 111300–111300. 3 indexed citations
11.
Koníčková, Renata, Martin Leníček, Michal Kolář, et al.. (2020). Anti‐angiogenic effects of the blue‐green alga Arthrospira platensis on pancreatic cancer. Journal of Cellular and Molecular Medicine. 24(4). 2402–2415. 12 indexed citations
12.
Gál, Péter, Herbert Kaltner, Michal Kolář, et al.. (2018). Detection of Distinct Changes in Gene-expression Profiles in Specimens of Tumors and Transition Zones of Tenascinpositive/- negative Head and Neck Squamous Cell Carcinoma. Anticancer Research. 38(3). 1279–1290. 9 indexed citations
13.
Gbelcová, Helena, Silvie Rimpelová, Zdeněk Knejzlı́k, et al.. (2017). Isoprenoids responsible for protein prenylation modulate the biological effects of statins on pancreatic cancer cells. Lipids in Health and Disease. 16(1). 250–250. 28 indexed citations
14.
Lacina, Lukáš, Karel Smetana, Eliška Krejčí, et al.. (2017). Analysis of dermal fibroblasts isolated from neonatal and child cleft lip and adult skin: Developmental implications on reconstructive surgery. International Journal of Molecular Medicine. 40(5). 1323–1334. 18 indexed citations
15.
Kodet, Ondřej, Lukáš Lacina, Eliška Krejčí, et al.. (2015). Melanoma cells influence the differentiation pattern of human epidermal keratinocytes. Molecular Cancer. 14(1). 1–1. 222 indexed citations
16.
Šáchová, Jana, Hynek Strnad, Michal Kolář, et al.. (2014). Microarray Analysis of Serum mRNA in Patients with Head and Neck Squamous Cell Carcinoma at Whole-Genome Scale. BioMed Research International. 2014. 1–10. 6 indexed citations
17.
Kolář, Michal, Pavol Szabó, Barbora Dvořánková, et al.. (2012). Upregulation of IL‐6, IL‐8 and CXCL‐1 production in dermal fibroblasts by normal/malignant epithelial cells in vitro: Immunohistochemical and transcriptomic analyses. Biology of the Cell. 104(12). 738–751. 73 indexed citations
18.
Strnad, Hynek, Lukáš Lacina, Michal Kolář, et al.. (2009). Head and neck squamous cancer stromal fibroblasts produce growth factors influencing phenotype of normal human keratinocytes. Histochemistry and Cell Biology. 133(2). 201–211. 43 indexed citations
19.
Heráček, Jiří, Mi­chael Urban, Jana Šáchová, et al.. (2007). The endocrine profiles in men with localized and locally advanced prostate cancer treated with radical prostatectomy.. PubMed. 28(1). 45–51. 21 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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