Mario Menschikowski

2.5k total citations
61 papers, 1.8k citations indexed

About

Mario Menschikowski is a scholar working on Molecular Biology, Cancer Research and Surgery. According to data from OpenAlex, Mario Menschikowski has authored 61 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Molecular Biology, 15 papers in Cancer Research and 11 papers in Surgery. Recurrent topics in Mario Menschikowski's work include Protein Kinase Regulation and GTPase Signaling (8 papers), Epigenetics and DNA Methylation (8 papers) and Prostate Cancer Treatment and Research (7 papers). Mario Menschikowski is often cited by papers focused on Protein Kinase Regulation and GTPase Signaling (8 papers), Epigenetics and DNA Methylation (8 papers) and Prostate Cancer Treatment and Research (7 papers). Mario Menschikowski collaborates with scholars based in Germany, United States and Australia. Mario Menschikowski's co-authors include Albert Hagelgans, Gabriele Siegert, W Jaroß, Olga Sukocheva, Graeme Eisenhofer, Oliver Tiebel, Peter Lattke, Rolf Eckey, Markus Friedemann and Stefan R. Bornstein and has published in prestigious journals such as SHILAP Revista de lepidopterología, Molecular and Cellular Biology and The Journal of Clinical Endocrinology & Metabolism.

In The Last Decade

Mario Menschikowski

59 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mario Menschikowski Germany 24 733 434 320 260 203 61 1.8k
Tomonari Koike Japan 24 503 0.7× 359 0.8× 282 0.9× 227 0.9× 275 1.4× 45 1.6k
Shuqi Mao China 23 544 0.7× 379 0.9× 222 0.7× 311 1.2× 122 0.6× 57 1.5k
Luı́s Vila Spain 24 412 0.6× 299 0.7× 232 0.7× 185 0.7× 326 1.6× 62 1.7k
Orina Belton Ireland 25 982 1.3× 434 1.0× 380 1.2× 203 0.8× 597 2.9× 41 2.8k
Marica Cariello Italy 24 632 0.9× 367 0.8× 212 0.7× 133 0.5× 191 0.9× 54 1.6k
Fengyun Xu United States 23 634 0.9× 273 0.6× 290 0.9× 424 1.6× 213 1.0× 32 2.4k
Feng Huang China 22 758 1.0× 387 0.9× 298 0.9× 184 0.7× 166 0.8× 123 1.8k
Xiang‐An Li United States 27 895 1.2× 584 1.3× 286 0.9× 338 1.3× 583 2.9× 57 2.5k
Toshiyuki Kita Japan 24 624 0.9× 575 1.3× 227 0.7× 194 0.7× 327 1.6× 127 2.1k
Toshiaki Nakano Japan 23 566 0.8× 401 0.9× 230 0.7× 181 0.7× 451 2.2× 132 2.2k

Countries citing papers authored by Mario Menschikowski

Since Specialization
Citations

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

Fields of papers citing papers by Mario Menschikowski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mario Menschikowski

This figure shows the co-authorship network connecting the top 25 collaborators of Mario Menschikowski. A scholar is included among the top collaborators of Mario Menschikowski 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 Mario Menschikowski. Mario Menschikowski 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
2.
Friedemann, Markus, Nicole Bechmann, Olga Sukocheva, et al.. (2021). Increased Sensitivity of Detection of RASSF1A and GSTP1 DNA Fragments in Serum of Prostate Cancer Patients: Optimisation of Diagnostics Using OBBPA-ddPCR. Cancers. 13(17). 4459–4459. 11 indexed citations
3.
Alter, Svenja, Alrun Hotz, Arne Jahn, et al.. (2018). Novel VPS33B mutation in a patient with autosomal recessive keratoderma‐ichthyosis‐deafness syndrome. American Journal of Medical Genetics Part A. 176(12). 2862–2866. 8 indexed citations
4.
5.
Hagelgans, Albert, et al.. (2017). Identification of CpG Sites of SERPINA5 Promoter with Opposite Methylation Patterns in Benign and Malignant Prostate Cells. Anticancer Research. 37(12). 6609–6618. 4 indexed citations
6.
Menschikowski, Mario, et al.. (2015). Epigenetic control of phospholipase A2 receptor expression in mammary cancer cells. BMC Cancer. 15(1). 971–971. 21 indexed citations
7.
Richter, Susan, Barbara Klink, Aguirre A. de Cubas, et al.. (2015). Epigenetic Mutation of the Succinate Dehydrogenase C Promoter in a Patient With Two Paragangliomas. The Journal of Clinical Endocrinology & Metabolism. 101(2). 359–363. 42 indexed citations
8.
Qin, Nan, Aguirre A. de Cubas, Rubén García-Martín, et al.. (2014). Opposing effects of HIF1α and HIF2α on chromaffin cell phenotypic features and tumor cell proliferation: Insights from MYC‐associated factor X. International Journal of Cancer. 135(9). 2054–2064. 61 indexed citations
9.
Menschikowski, Mario, et al.. (2013). Plasma Levels of Phospholipase A2-IIA in Patients with Different Types of Malignancies: Prognosis and Association with Inflammatory and Coagulation Biomarkers. Pathology & Oncology Research. 19(4). 839–846. 33 indexed citations
10.
Menschikowski, Mario, Albert Hagelgans, Graeme Eisenhofer, Oliver Tiebel, & Gabriele Siegert. (2010). Reducing agents induce thrombomodulin shedding in human endothelial cells. Thrombosis Research. 126(2). e88–e93. 20 indexed citations
11.
Menschikowski, Mario, Kyung Hwa Jung, P. Junghans, Klaus J. Petzke, & Volker Albrecht. (2009). The Influence of a Steroid Hormone and of Physical Exercise on Protein Metabolism in Rats. Experimental and Clinical Endocrinology & Diabetes. 92(6). 341–348. 1 indexed citations
12.
Menschikowski, Mario, Albert Hagelgans, Ute Hempel, et al.. (2008). On interaction of activated protein C with human aortic smooth muscle cells attenuating the secretory group IIA phospholipase A2 expression. Thrombosis Research. 122(1). 69–76. 12 indexed citations
13.
Menschikowski, Mario, et al.. (2008). Involvement of Epigenetic Mechanisms in the Regulation of Secreted Phospholipase A2 Expressions in Jurkat Leukemia Cells. Neoplasia. 10(11). 1195–1203. 14 indexed citations
14.
Lättig, Jens, Markus Böhl, Mario Menschikowski, et al.. (2007). Mechanism of inhibition of human secretory phospholipase A2 by flavonoids: rationale for lead design. Journal of Computer-Aided Molecular Design. 21(8). 473–483. 80 indexed citations
15.
Peter, Jan M., et al.. (2005). The relevance of the detection of troponins to the forensic diagnosis of cardiac contusion. Forensic Science International. 160(2-3). 127–133. 23 indexed citations
16.
Heller, Axel R., Thomas Rössel, Birgit Gottschlich, et al.. (2004). Omega‐3 fatty acids improve liver and pancreas function in postoperative cancer patients. International Journal of Cancer. 111(4). 611–616. 144 indexed citations
17.
20.
Fuki, Ilia V., et al.. (1991). Interaction of apolipoprotein B-containing lipoprotein secreted by Hep G2 cells with receptors for low-density lipoprotein. Biochimica et Biophysica Acta (BBA) - Lipids and Lipid Metabolism. 1086(2). 237–240. 3 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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