Milan Pour

2.6k total citations
105 papers, 2.1k citations indexed

About

Milan Pour is a scholar working on Organic Chemistry, Molecular Biology and Pharmacology. According to data from OpenAlex, Milan Pour has authored 105 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 64 papers in Organic Chemistry, 23 papers in Molecular Biology and 16 papers in Pharmacology. Recurrent topics in Milan Pour's work include Synthetic Organic Chemistry Methods (22 papers), Synthesis and biological activity (12 papers) and Asymmetric Synthesis and Catalysis (12 papers). Milan Pour is often cited by papers focused on Synthetic Organic Chemistry Methods (22 papers), Synthesis and biological activity (12 papers) and Asymmetric Synthesis and Catalysis (12 papers). Milan Pour collaborates with scholars based in Czechia, United States and Australia. Milan Pour's co-authors include Jiřı́ Kuneš, Karel Waisser, Marcel Špulák, Vladimı́r Buchta, Jarmila Kaustová, Věra Klimešová, Marie Vopršalová, M Slosárek, Mukund Ghavre and Jana Pourová and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Angewandte Chemie International Edition.

In The Last Decade

Milan Pour

99 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
Milan Pour Czechia 25 1.3k 517 211 200 181 105 2.1k
Ricardo José Nunes Brazil 30 1.1k 0.8× 867 1.7× 267 1.3× 174 0.9× 160 0.9× 107 2.4k
Maria do Carmo Alves de Lima Brazil 30 1.3k 0.9× 922 1.8× 250 1.2× 237 1.2× 118 0.7× 178 2.7k
Hye‐Sook Kim Japan 31 1.2k 0.9× 1.0k 2.0× 327 1.5× 167 0.8× 272 1.5× 110 2.6k
Mymoona Akhter India 25 2.3k 1.7× 794 1.5× 284 1.3× 217 1.1× 72 0.4× 100 3.1k
Tuğba Taşkın‐Tok Türkiye 25 1.0k 0.8× 768 1.5× 320 1.5× 269 1.3× 94 0.5× 154 2.1k
Rahul V. Patel South Korea 25 1.1k 0.8× 709 1.4× 288 1.4× 142 0.7× 128 0.7× 80 2.2k
Antonio Morello Chile 31 1.2k 0.9× 716 1.4× 113 0.5× 314 1.6× 184 1.0× 92 2.8k
Michel Baltas France 31 1.9k 1.4× 1.2k 2.3× 271 1.3× 122 0.6× 93 0.5× 143 3.1k
Anamik Shah India 31 2.6k 1.9× 963 1.9× 357 1.7× 216 1.1× 66 0.4× 152 3.3k
Andrea Pinto Italy 28 1.0k 0.8× 1.5k 3.0× 195 0.9× 124 0.6× 114 0.6× 144 2.8k

Countries citing papers authored by Milan Pour

Since Specialization
Citations

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

Fields of papers citing papers by Milan Pour

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Milan Pour

This figure shows the co-authorship network connecting the top 25 collaborators of Milan Pour. A scholar is included among the top collaborators of Milan Pour 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 Milan Pour. Milan Pour 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.
3.
Капитанов, И. В., Marcel Špulák, Milan Pour, et al.. (2023). Sustainable ionic liquids-based molecular platforms for designing acetylcholinesterase reactivators. Chemico-Biological Interactions. 385. 110735–110735.
4.
Růžička, Aleš, Lubomı́r Rulı́šek, Jiřı́ Kuneš, et al.. (2023). Synthesis of highly polarized [3]dendralenes and their Diels–Alder reactions. Organic Chemistry Frontiers. 10(22). 5568–5578.
5.
Mohos, Violetta, Eszter Fliszár-Nyúl, Beáta Lemli, et al.. (2020). Testing the Pharmacokinetic Interactions of 24 Colonic Flavonoid Metabolites with Human Serum Albumin and Cytochrome P450 Enzymes. Biomolecules. 10(3). 409–409. 26 indexed citations
7.
Applová, Lenka, Pavel Horký, Jana Karlíčková, et al.. (2019). The influence of microbial isoflavonoid specific metabolites on platelets and transition metals iron and copper. Phytomedicine. 62. 152974–152974. 3 indexed citations
8.
Skledar, Darja Gramec, Maša Kenda, Anamarija Zega, et al.. (2019). Applicability of the OECD 455 in-vitro assay for determination of hERa agonistic activity of isoflavonoids. Toxicology and Applied Pharmacology. 386. 114831–114831. 13 indexed citations
9.
Horký, Pavel, Klára Konečná, David Sedlák, et al.. (2017). Nontoxic combretafuranone analogues with high in vitro antibacterial activity. European Journal of Medicinal Chemistry. 143. 843–853. 5 indexed citations
10.
Ševčíková, Zuzana, Milan Pour, David Novák, Jitka Ulrichová, & Jan Vacek. (2014). Chemical Properties and Biological Activities of Cyclopentenediones: A Review. Mini-Reviews in Medicinal Chemistry. 14(4). 322–331. 13 indexed citations
11.
Kamali, Mahmood, et al.. (2012). COPPER EFFECTS ON GROWTH PARAMETERS OF HOLLYHOCK (ALTHAEA ROSEA L.). 2(2). 95–101. 5 indexed citations
12.
Stuchlíková, Lucie Raisová, Robert Jirásko, Ivan Vokřál, et al.. (2012). Investigation of the metabolism of monepantel in ovine hepatocytes by UHPLC/MS/MS. Analytical and Bioanalytical Chemistry. 405(5). 1705–1712. 23 indexed citations
13.
Pourová, Jana, et al.. (2009). Reactive oxygen and nitrogen species in normal physiological processes. Acta Physiologica. 198(1). 15–35. 101 indexed citations
14.
Svecova, Lucie, Radim Vrzal, Ladislav Burýšek, et al.. (2007). Azole Antimycotics Differentially Affect Rifampicin-Induced Pregnane X Receptor-Mediated CYP3A4 Gene Expression. Drug Metabolism and Disposition. 36(2). 339–348. 50 indexed citations
15.
Vale-Silva, Luís A., Vladimı́r Buchta, Doris Vokurková, & Milan Pour. (2006). Investigation of the mechanism of action of 3-(4-bromophenyl)-5-acyloxymethyl-2,5-dihydrofuran-2-one against Candida albicans by flow cytometry. Bioorganic & Medicinal Chemistry Letters. 16(9). 2492–2495. 13 indexed citations
16.
Voříšek, Viktor, Milan Pour, Karel Ubik, et al.. (2005). Analytical Monitoring of Trinitrotoluene Metabolites in Urine by GC-MS. Part I. Semiquantitative Determination of 4-Amino-2,6-dinitrotoluene in Human Urine. Journal of Analytical Toxicology. 29(1). 62–65. 5 indexed citations
17.
Nobilis, Milan, Michal Holčapek, Lenka Kolářová, et al.. (2004). Disposition study of a new potential antineoplastic agent dimefluron in rats using high-performance liquid chromatography with ultraviolet and mass spectrometric detection. Journal of Pharmaceutical and Biomedical Analysis. 37(5). 1059–1071. 11 indexed citations
18.
Waisser, Karel, Jiřı́ Kuneš, Milan Pour, et al.. (2003). Antimycobacterial 3-aryl-2H-1,3-benzoxazine-2,4(3H)-diones.. PubMed. 58(2). 83–94. 5 indexed citations
19.
Waisser, Karel, et al.. (2003). Antimycobacterial and Antifungal Isosters of Salicylamides. Archiv der Pharmazie. 336(6-7). 322–335. 24 indexed citations
20.
Pour, Milan, Mark Furber, Lewis N. Mander, et al.. (1997). Synthesis of New 9,15-Cyclogibberellins from Developing Apple Seeds: Confirmation of Structure for GA 105 and GA 108. Australian Journal of Chemistry. 50(4). 289–300. 6 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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