Maria Cekanova

2.1k total citations
51 papers, 1.7k citations indexed

About

Maria Cekanova is a scholar working on Molecular Biology, Oncology and Surgery. According to data from OpenAlex, Maria Cekanova has authored 51 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 15 papers in Oncology and 12 papers in Surgery. Recurrent topics in Maria Cekanova's work include Cancer, Stress, Anesthesia, and Immune Response (7 papers), Inflammatory mediators and NSAID effects (7 papers) and Nuclear Physics and Applications (6 papers). Maria Cekanova is often cited by papers focused on Cancer, Stress, Anesthesia, and Immune Response (7 papers), Inflammatory mediators and NSAID effects (7 papers) and Nuclear Physics and Applications (6 papers). Maria Cekanova collaborates with scholars based in United States, Japan and Slovakia. Maria Cekanova's co-authors include Kusum Rathore, Seung Joon Baek, Seong‐Ho Lee, Hildegard M. Schuller, Nalin Siriwardhana, Betty Greer, Nishan S. Kalupahana, Monique LeMieux, Naïma Moustaïd‐Moussa and Antonín Bukovský and has published in prestigious journals such as Journal of Biological Chemistry, Cancer and Cancer Research.

In The Last Decade

Maria Cekanova

49 papers receiving 1.6k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Maria Cekanova 563 313 182 174 167 51 1.7k
Ana I. Faustino‐Rocha 466 0.8× 313 1.0× 155 0.9× 112 0.6× 213 1.3× 82 1.3k
Haitao Guan 578 1.0× 225 0.7× 114 0.6× 97 0.6× 270 1.6× 57 1.3k
Michael K. Jones 766 1.4× 237 0.8× 203 1.1× 102 0.6× 245 1.5× 56 1.7k
Bin Ren 1.2k 2.1× 304 1.0× 119 0.7× 123 0.7× 269 1.6× 90 2.0k
Fei Ding 581 1.0× 353 1.1× 268 1.5× 85 0.5× 155 0.9× 82 1.3k
Akira Imaizumi 924 1.6× 244 0.8× 129 0.7× 123 0.7× 221 1.3× 74 1.5k
Ioulia Chatzistamou 777 1.4× 529 1.7× 322 1.8× 187 1.1× 250 1.5× 104 2.1k
Emanuela Masini 442 0.8× 208 0.7× 117 0.6× 203 1.2× 308 1.8× 14 1.4k
Weimin Sun 728 1.3× 220 0.7× 300 1.6× 387 2.2× 188 1.1× 88 1.9k
Sutapa Ray 1.1k 1.9× 419 1.3× 360 2.0× 72 0.4× 185 1.1× 74 2.0k

Countries citing papers authored by Maria Cekanova

Since Specialization
Citations

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

Fields of papers citing papers by Maria Cekanova

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maria Cekanova

This figure shows the co-authorship network connecting the top 25 collaborators of Maria Cekanova. A scholar is included among the top collaborators of Maria Cekanova 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 Maria Cekanova. Maria Cekanova 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.
Venkatakrishnan, Singanallur, Diyu Yang, George J. Nelson, et al.. (2024). A machine learning decision criterion for reducing scan time for hyperspectral neutron computed tomography systems. Scientific Reports. 14(1). 15171–15171. 2 indexed citations
2.
Millis, Darryl L., et al.. (2019). Platelet-rich plasma affects the proliferation of canine bone marrow-derived mesenchymal stromal cells in vitro. BMC Veterinary Research. 15(1). 269–269. 10 indexed citations
3.
Rathore, Kusum, et al.. (2019). Detection of carcinogen-induced bladder cancer by fluorocoxib A. BMC Cancer. 19(1). 1152–1152. 7 indexed citations
4.
Smolensky, Dmitriy, Kusum Rathore, & Maria Cekanova. (2016). Molecular targets in urothelial cancer: detection, treatment, and animal models of bladder cancer. Drug Design Development and Therapy. Volume 10. 3305–3322. 24 indexed citations
5.
Rathore, Kusum & Maria Cekanova. (2015). Effects of environmental carcinogen benzo(a)pyrene on canine adipose-derived mesenchymal stem cells. Research in Veterinary Science. 103. 34–43. 12 indexed citations
6.
Rathore, Kusum, et al.. (2014). Piroxicam inhibits Masitinib-induced cyclooxygenase 2 expression in oral squamous cell carcinoma cells in vitro. Translational research. 164(2). 158–168. 35 indexed citations
7.
Rathore, Kusum & Maria Cekanova. (2014). Animal model of naturally occurring bladder cancer: Characterization of four new canine transitional cell carcinoma cell lines. BMC Cancer. 14(1). 465–465. 18 indexed citations
8.
Cekanova, Maria, Romaine I. Fernando, Nalin Siriwardhana, et al.. (2014). BCL-2 family protein, BAD is down-regulated in breast cancer and inhibits cell invasion. Experimental Cell Research. 331(1). 1–10. 29 indexed citations
9.
Cekanova, Maria, Md. Jashim Uddin, Joseph W. Bartges, et al.. (2013). Molecular Imaging of Cyclooxygenase-2 in Canine Transitional Cell Carcinomas In Vitro and In Vivo. Cancer Prevention Research. 6(5). 466–476. 39 indexed citations
10.
Cekanova, Maria, Md. Jashim Uddin, Alfred Μ. Legendre, et al.. (2012). Single-dose safety and pharmacokinetic evaluation of fluorocoxib A: pilot study of novel cyclooxygenase-2-targeted optical imaging agent in a canine model. Journal of Biomedical Optics. 17(11). 116002–116002. 10 indexed citations
11.
Cekanova, Maria, Seong‐Ho Lee, Michael F. McEntee, & Seung Joon Baek. (2010). MCC-555-induced NAG-1 expression is mediated in part by KLF4. European Journal of Pharmacology. 637(1-3). 30–37. 15 indexed citations
12.
13.
Fernando, Romaine I., James S. Foster, Amber N. Bible, et al.. (2007). Breast Cancer Cell Proliferation Is Inhibited by BAD. Journal of Biological Chemistry. 282(39). 28864–28873. 29 indexed citations
14.
Schuller, Hildegard M., George W. Kabalka, Gary T. Smith, et al.. (2006). Detection of Overexpressed COX‐2 in Precancerous Lesions of Hamster Pancreas and Lungs by Molecular Imaging: Implications for Early Diagnosis and Prevention. ChemMedChem. 1(6). 603–610. 28 indexed citations
15.
Cekanova, Maria, Thomas Masi, Howard K. Plummer, et al.. (2006). Pulmonary fibroblasts stimulate the proliferation of cell lines from human lung adenocarcinomas. Anti-Cancer Drugs. 17(7). 771–781. 17 indexed citations
16.
Askari, Minoo, Ming‐Sound Tsao, Maria Cekanova, & Hildegard M. Schuller. (2006). Ethanol and the Tobacco-specific Carcinogen, NNK, Contribute to Signaling in Immortalized Human Pancreatic Duct Epithelial Cells. Pancreas. 33(1). 53–62. 31 indexed citations
17.
Plummer, Howard K., Madhu Dhar, Maria Cekanova, & Hildegard M. Schuller. (2005). Expression of G-protein inwardly rectifying potassium channels (GIRKs) in lung cancer cell lines. BMC Cancer. 5(1). 104–104. 40 indexed citations
18.
Schuller, Hildegard M. & Maria Cekanova. (2005). NNK-induced hamster lung adenocarcinomas over-express β2-adrenergic and EGFR signaling pathways. Lung Cancer. 49(1). 35–45. 51 indexed citations
19.
20.
Cekanova, Maria, et al.. (2001). Photodynamic therapy of murine fibrosarcoma with topical and systemic administration of Hypericin. Phytomedicine. 8(5). 325–330. 11 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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