M Zadinová

1.3k total citations
46 papers, 1.1k citations indexed

About

M Zadinová is a scholar working on Molecular Biology, Oncology and Biomedical Engineering. According to data from OpenAlex, M Zadinová has authored 46 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 9 papers in Oncology and 9 papers in Biomedical Engineering. Recurrent topics in M Zadinová's work include Heme Oxygenase-1 and Carbon Monoxide (6 papers), Neonatal Health and Biochemistry (5 papers) and Nanoplatforms for cancer theranostics (5 papers). M Zadinová is often cited by papers focused on Heme Oxygenase-1 and Carbon Monoxide (6 papers), Neonatal Health and Biochemistry (5 papers) and Nanoplatforms for cancer theranostics (5 papers). M Zadinová collaborates with scholars based in Czechia, Croatia and United States. M Zadinová's co-authors include P Poučková, Libor Vı́tek, Jaroslav Zelenka, Tomáš Olejár, Tomáš Ruml, Lucie Muchová, Aleš Dvořák, Ronald J. Wong, Michal Kudla and Peter Baláž and has published in prestigious journals such as Biomaterials, Journal of Controlled Release and Journal of Hepatology.

In The Last Decade

M Zadinová

45 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
M Zadinová Czechia 19 521 188 153 152 152 46 1.1k
Ravi Thakur India 18 466 0.9× 71 0.4× 202 1.3× 214 1.4× 107 0.7× 36 1.2k
Zhanjun Hou United States 27 1.1k 2.2× 113 0.6× 261 1.7× 95 0.6× 151 1.0× 80 1.9k
Hongzhuan Yin China 19 539 1.0× 57 0.3× 115 0.8× 164 1.1× 253 1.7× 35 915
Fernando Rodríguez‐Serrano Spain 22 639 1.2× 42 0.2× 243 1.6× 78 0.5× 173 1.1× 79 1.5k
Inge A. Ivens Germany 11 488 0.9× 49 0.3× 141 0.9× 77 0.5× 55 0.4× 16 1.2k
Patricia García‐López Mexico 20 469 0.9× 34 0.2× 191 1.2× 70 0.5× 137 0.9× 54 1.1k
Helena Gbelcová Slovakia 17 753 1.4× 53 0.3× 148 1.0× 73 0.5× 207 1.4× 33 1.3k
Dixian Luo China 25 1.2k 2.2× 129 0.7× 190 1.2× 105 0.7× 654 4.3× 81 1.9k
Leyuan Xu United States 26 615 1.2× 39 0.2× 156 1.0× 88 0.6× 102 0.7× 36 1.4k
Federica Saletta Australia 19 779 1.5× 51 0.3× 375 2.5× 266 1.8× 346 2.3× 38 1.5k

Countries citing papers authored by M Zadinová

Since Specialization
Citations

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

Fields of papers citing papers by M Zadinová

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M Zadinová

This figure shows the co-authorship network connecting the top 25 collaborators of M Zadinová. A scholar is included among the top collaborators of M Zadinová 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 M Zadinová. M Zadinová 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.
Poučková, P, M Zadinová, Jiřı́ Štětina, et al.. (2020). Hydrogels based on low-methoxyl amidated citrus pectin and flaxseed gum formulated with tripeptide glycyl-l-histidyl-l-lysine improve the healing of experimental cutting wounds in rats. International Journal of Biological Macromolecules. 165(Pt B). 3156–3168. 38 indexed citations
2.
3.
Vachtenheim, J, et al.. (2016). Survivin, a novel target of the Hedgehog/GLI signaling pathway in human tumor cells. Cell Death and Disease. 7(1). e2048–e2048. 26 indexed citations
4.
Vı́tek, Libor, Helena Gbelcová, Lucie Muchová, et al.. (2014). Antiproliferative effects of carbon monoxide on pancreatic cancer. Digestive and Liver Disease. 46(4). 369–375. 87 indexed citations
5.
Beneš, Jiří, et al.. (2012). Biological effects of tandem shock waves demonstrated on magnetic resonance. Bratislavské lekárske listy/Bratislava medical journal. 113(6). 335–338. 3 indexed citations
6.
Větvička, David, et al.. (2012). Evaluation of topical photodynamic therapy of mammary carcinoma with an experimental gel containing liposomal hydroxyl-aluminium phthalocyanine.. PubMed. 32(9). 3769–74. 13 indexed citations
7.
Beneš, Jiří, P Poučková, M Zadinová, et al.. (2011). Effects of Tandem Shock Waves Combined with Photosan and Cytostatics on the Growth of Tumours. Folia Biologica. 57(6). 255–260. 9 indexed citations
8.
Hrubý, Martin, P Poučková, M Zadinová, Jan Kučka, & O. Lebeda. (2011). Thermoresponsive polymeric radionuclide delivery system—An injectable brachytherapy. European Journal of Pharmaceutical Sciences. 42(5). 484–488. 28 indexed citations
9.
Šunka, P., Petr Hoffer, Petr Lukeš, et al.. (2009). Biological effects of tandem shock waves on soft animal tissues – preliminary “in vivo” experiments. 1–1. 1 indexed citations
10.
Gbelcová, Helena, Martin Leníček, Jaroslav Zelenka, et al.. (2007). Differences in antitumor effects of various statins on human pancreatic cancer. International Journal of Cancer. 122(6). 1214–1221. 92 indexed citations
11.
Zadinová, M, et al.. (2007). Optimum modality for photodynamic therapy of tumors: gels containing liposomes with hydrophobic photosensitizers. Drug Development Research. 68(5). 235–252. 6 indexed citations
12.
Kleibl, Zdeněk, Jan Ševčı́k, Jana Březinová, et al.. (2006). Establishment, growth and in vivo differentiation of a new clonal human cell line, EM-G3, derived from breast cancer progenitors. Breast Cancer Research and Treatment. 103(2). 247–257. 13 indexed citations
13.
Sova, Petr, et al.. (2006). Comparative anti-tumor efficacy of two orally administered platinum(IV) drugs in nude mice bearing human tumor xenografts. Anti-Cancer Drugs. 17(2). 201–206. 25 indexed citations
14.
Vı́tek, Libor, et al.. (2005). The Effect of Zinc Salts on Serum Bilirubin Levels in Hyperbilirubinemic Rats. Journal of Pediatric Gastroenterology and Nutrition. 40(2). 135–140. 5 indexed citations
15.
Sova, Petr, et al.. (2005). Preclinical anti-tumor activity of a new oral platinum(IV) drug LA-12. Anti-Cancer Drugs. 16(6). 653–657. 29 indexed citations
16.
Vı́tek, Libor, et al.. (2004). The impact of intestinal microflora on serum bilirubin levels. Journal of Hepatology. 42(2). 238–243. 57 indexed citations
17.
Poučková, P, M Zadinová, J. Strohalm, et al.. (2004). Polymer-conjugated bovine pancreatic and seminal ribonucleases inhibit growth of human tumors in nude mice. Journal of Controlled Release. 95(1). 83–92. 23 indexed citations
18.
Souček, J., P Poučková, J. Strohalm, et al.. (2002). Poly [N -(2-hydroxypropyl)methacrylamide] Conjugates of Bovine Pancreatic Ribonuclease (RNase A) Inhibit Growth of Human Melanoma in Nude Mice. Journal of drug targeting. 10(3). 175–183. 23 indexed citations
19.
20.
Olejár, Tomáš, Radoslav Matěj, M Zadinová, & P Poučková. (2001). Expression of Proteinase-Activated Receptor 2 During Taurocholate-Induced Acute Pancreatic Lesion Development in Wistar Rats. International Journal of Gastrointestinal Cancer. 30(3). 113–122. 19 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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