Mario Wurglics

2.5k total citations
53 papers, 2.1k citations indexed

About

Mario Wurglics is a scholar working on Molecular Biology, Pharmacology and Plant Science. According to data from OpenAlex, Mario Wurglics has authored 53 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 16 papers in Pharmacology and 15 papers in Plant Science. Recurrent topics in Mario Wurglics's work include Natural Compound Pharmacology Studies (12 papers), Peroxisome Proliferator-Activated Receptors (7 papers) and Inflammatory mediators and NSAID effects (7 papers). Mario Wurglics is often cited by papers focused on Natural Compound Pharmacology Studies (12 papers), Peroxisome Proliferator-Activated Receptors (7 papers) and Inflammatory mediators and NSAID effects (7 papers). Mario Wurglics collaborates with scholars based in Germany, Austria and United Kingdom. Mario Wurglics's co-authors include Manfred Schubert‐Zsilavecz, Mona Abdel‐Tawab, Alexander Paulke, U. Bahr, Michael Karas, Christian Ude, Michael Nöldner, Oliver Rau, Theo Dingermann and Karim Raafat and has published in prestigious journals such as Journal of Medicinal Chemistry, Journal of Chromatography A and British Journal of Pharmacology.

In The Last Decade

Mario Wurglics

52 papers receiving 2.0k 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 Wurglics Germany 23 949 431 406 370 349 53 2.1k
Eunjung Moon South Korea 28 967 1.0× 264 0.6× 335 0.8× 334 0.9× 491 1.4× 67 2.1k
Myung Koo Lee South Korea 32 1.1k 1.1× 370 0.9× 440 1.1× 551 1.5× 516 1.5× 110 2.6k
Young‐Wuk Cho South Korea 26 928 1.0× 421 1.0× 320 0.8× 340 0.9× 297 0.9× 70 2.3k
Nou-Ying Tang Taiwan 29 989 1.0× 536 1.2× 357 0.9× 496 1.3× 365 1.0× 47 2.5k
Ming Yan China 29 911 1.0× 245 0.6× 321 0.8× 292 0.8× 489 1.4× 109 2.4k
Lalita Subedi South Korea 33 1.3k 1.3× 355 0.8× 301 0.7× 278 0.8× 657 1.9× 94 2.8k
Wen‐Fei Chiou Taiwan 28 1.3k 1.4× 382 0.9× 431 1.1× 498 1.3× 390 1.1× 66 2.5k
Jyh‐Fei Liao Taiwan 29 993 1.0× 269 0.6× 268 0.7× 372 1.0× 267 0.8× 63 2.3k
Hyun Ok Yang South Korea 30 1.1k 1.2× 259 0.6× 321 0.8× 415 1.1× 226 0.6× 95 2.4k
Ji Wook Jung South Korea 24 629 0.7× 452 1.0× 329 0.8× 386 1.0× 438 1.3× 58 1.7k

Countries citing papers authored by Mario Wurglics

Since Specialization
Citations

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

Fields of papers citing papers by Mario Wurglics

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mario Wurglics

This figure shows the co-authorship network connecting the top 25 collaborators of Mario Wurglics. A scholar is included among the top collaborators of Mario Wurglics 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 Wurglics. Mario Wurglics 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.
Hernández‐Olmos, Víctor, Jan Heering, Andreas von Knethen, et al.. (2019). Structure optimization of a new class of PPARγ antagonists. Bioorganic & Medicinal Chemistry. 27(21). 115082–115082. 5 indexed citations
3.
Paulke, Alexander, et al.. (2019). Chronic alcohol abuse may lead to high skin iron content, but not to hepatic siderosis. Forensic Science International. 304. 109851–109851. 2 indexed citations
4.
Raafat, Karim & Mario Wurglics. (2018). Phytochemical analysis of Ficus carica L. active compounds possessing anticonvulsant activity. Journal of Traditional and Complementary Medicine. 9(4). 263–270. 18 indexed citations
5.
Paulke, Alexander, et al.. (2015). Studies on the alkaloid composition of the Hawaiian Baby Woodrose Argyreia nervosa , a common legal high. Forensic Science International. 249. 281–293. 13 indexed citations
6.
Hagl, Stephanie, et al.. (2015). MH84: A Novel γ-Secretase Modulator/PPARγ Agonist—Improves Mitochondrial Dysfunction in a Cellular Model of Alzheimer’s Disease. Neurochemical Research. 41(1-2). 231–242. 14 indexed citations
7.
Stein, Christoph, Daniel Merk, Jochen Klein, et al.. (2014). Pharmacokinetic properties of MH84, a γ-secretase modulator with PPARγ agonistic activity. Journal of Pharmaceutical and Biomedical Analysis. 102. 417–424. 6 indexed citations
8.
Paulke, Alexander, et al.. (2012). Isoquercitrin provides better bioavailability than quercetin: comparison of quercetin metabolites in body tissue and brain sections after six days administration of isoquercitrin and quercetin.. PubMed. 67(12). 991–6. 45 indexed citations
9.
Hofmann, Bettina, Astrid S. Kahnt, Oliver Rau, et al.. (2011). Molecular pharmacological profile of a novel thiazolinone‐based direct and selective 5‐lipoxygenase inhibitor. British Journal of Pharmacology. 165(7). 2304–2313. 13 indexed citations
10.
Eckert, Gunter P., Cornelia Franke, Michael Nöldner, et al.. (2010). Plant derived omega-3-fatty acids protect mitochondrial function in the brain. Pharmacological Research. 61(3). 234–241. 58 indexed citations
11.
Nöldner, Michael, et al.. (2010). Plasma Levels and Distribution of Flavonoids in Rat Brain after Single and Repeated Doses of StandardizedGinkgo bilobaExtract EGb 761®. Planta Medica. 76(15). 1683–1690. 89 indexed citations
12.
Ude, Christian, Alexander Paulke, Manfred Schubert‐Zsilavecz, & Mario Wurglics. (2009). Chemie, Pharmakokinetik und Metabolismus von Ginkgo‐Extrakt. Eines der bestuntersuchten Phytopharmaka. Pharmazie in unserer Zeit. 38(5). 418–423. 3 indexed citations
13.
Paulke, Alexander, Michael Nöldner, Manfred Schubert‐Zsilavecz, & Mario Wurglics. (2008). St. John's wort flavonoids and their metabolites show antidepressant activity and accumulate in brain after multiple oral doses.. PubMed. 63(4). 296–302. 39 indexed citations
14.
Paulke, Alexander, Manfred Schubert‐Zsilavecz, & Mario Wurglics. (2006). Determination of St. John's wort flavonoid-metabolites in rat brain through high performance liquid chromatography coupled with fluorescence detection. Journal of Chromatography B. 832(1). 109–113. 79 indexed citations
15.
Wurglics, Mario, et al.. (2005). Geschichte der Ulcustherapie: Ein historischer Rückblick. Pharmazie in unserer Zeit. 34(3). 188–192. 1 indexed citations
16.
Kaunzinger, Astrid, et al.. (2002). Biorelevant dissolution testing of St John's wort products. Journal of Pharmacy and Pharmacology. 54(12). 1615–1621. 17 indexed citations
17.
Wurglics, Mario, et al.. (2001). Comparison of German St. John's Wort Products According to Hyperforin and Total Hypericin Content. Journal of the American Pharmaceutical Association (1996). 41(4). 560–566. 47 indexed citations
18.
Wurglics, Mario, et al.. (2001). Batch-to-Batch Reproducibility of St. John's Wort Preparations. Pharmacopsychiatry. 34(Suppl1). 152–156. 27 indexed citations
19.
Abdel‐Tawab, Mona, Astrid Kaunzinger, U. Bahr, et al.. (2001). Development of a high-performance liquid chromatographic method for the determination of 11-keto-β-boswellic acid in human plasma. Journal of Chromatography B Biomedical Sciences and Applications. 761(2). 221–227. 45 indexed citations
20.
Wurglics, Mario, et al.. (1999). Lack of correlation between surface and interfacial activities of saponins and their hemolytic properties.. PubMed. 54(10). 766–7. 4 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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