Markus Düchler

1.1k total citations
22 papers, 892 citations indexed

About

Markus Düchler is a scholar working on Molecular Biology, Immunology and Cancer Research. According to data from OpenAlex, Markus Düchler has authored 22 papers receiving a total of 892 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 8 papers in Immunology and 4 papers in Cancer Research. Recurrent topics in Markus Düchler's work include Extracellular vesicles in disease (7 papers), RNA Interference and Gene Delivery (6 papers) and Immune Cell Function and Interaction (5 papers). Markus Düchler is often cited by papers focused on Extracellular vesicles in disease (7 papers), RNA Interference and Gene Delivery (6 papers) and Immune Cell Function and Interaction (5 papers). Markus Düchler collaborates with scholars based in Poland, Austria and United States. Markus Düchler's co-authors include Liliana Czernek, Erhard Hofer, Barbara Nawrot, Elżbieta Sochacka, Małgorzata Czyż, Yuri Sobanov, Diana Mechtcheriakova, Andreas Bernreiter, Kamila Koprowska and Bernhard Schweighofer and has published in prestigious journals such as Analytical Chemistry, International Journal of Molecular Sciences and Immunological Reviews.

In The Last Decade

Markus Düchler

22 papers receiving 881 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Markus Düchler Poland 17 601 249 221 72 68 22 892
Gajendra K. Katara United States 22 435 0.7× 257 1.0× 101 0.5× 87 1.2× 77 1.1× 37 1.1k
Benny Weiss‐Steider Mexico 20 382 0.6× 381 1.5× 116 0.5× 322 4.5× 38 0.6× 78 997
Chi‐Chen Fan Taiwan 19 423 0.7× 115 0.5× 161 0.7× 158 2.2× 56 0.8× 26 842
Shin Yoshioka Japan 15 384 0.6× 108 0.4× 75 0.3× 40 0.6× 17 0.3× 27 733
Weijie Dong China 17 613 1.0× 216 0.9× 162 0.7× 59 0.8× 10 0.1× 32 784
Sina Taefehshokr Iran 17 324 0.5× 201 0.8× 160 0.7× 195 2.7× 13 0.2× 23 778
Pascale Bette‐Bobillo France 11 526 0.9× 156 0.6× 166 0.8× 25 0.3× 13 0.2× 15 669
Guixiang Tai China 21 476 0.8× 427 1.7× 163 0.7× 166 2.3× 13 0.2× 52 949
Efraí­n Garrido Mexico 17 442 0.7× 88 0.4× 154 0.7× 173 2.4× 15 0.2× 48 716
Zhonghua Jiang China 19 551 0.9× 131 0.5× 320 1.4× 86 1.2× 11 0.2× 61 868

Countries citing papers authored by Markus Düchler

Since Specialization
Citations

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

Fields of papers citing papers by Markus Düchler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Markus Düchler

This figure shows the co-authorship network connecting the top 25 collaborators of Markus Düchler. A scholar is included among the top collaborators of Markus Düchler 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 Markus Düchler. Markus Düchler 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.
Czernek, Liliana, et al.. (2022). Small Extracellular Vesicles Loaded with Immunosuppressive miRNAs Leads to an Inhibition of Dendritic Cell Maturation. Archivum Immunologiae et Therapiae Experimentalis. 70(1). 27–27. 8 indexed citations
2.
Solá, Laura, Anna Maria Ferretti, Nataša Zarovni, et al.. (2021). EV Separation: Release of Intact Extracellular Vesicles Immunocaptured on Magnetic Particles. Analytical Chemistry. 93(13). 5476–5483. 38 indexed citations
3.
Düchler, Markus, et al.. (2021). CRISPR/Cas9: Principle, Applications, and Delivery through Extracellular Vesicles. International Journal of Molecular Sciences. 22(11). 6072–6072. 82 indexed citations
4.
Czernek, Liliana, et al.. (2019). Methods for the Determination of the Purity of Exosomes. Current Pharmaceutical Design. 25(42). 4464–4485. 24 indexed citations
5.
Düchler, Markus, et al.. (2019). Melanoma-Derived Extracellular Vesicles Bear the Potential for the Induction of Antigen-Specific Tolerance. Cells. 8(7). 665–665. 25 indexed citations
6.
Czernek, Liliana & Markus Düchler. (2017). Functions of Cancer-Derived Extracellular Vesicles in Immunosuppression. Archivum Immunologiae et Therapiae Experimentalis. 65(4). 311–323. 97 indexed citations
7.
Woźniak, Michał, et al.. (2017). Analysis of the miRNA Profiles of Melanoma Exosomes Derived Under Normoxic and Hypoxic Culture Conditions. Anticancer Research. 37(12). 97–6789. 33 indexed citations
8.
Düchler, Markus. (2012). G-quadruplexes: targets and tools in anticancer drug design. Journal of drug targeting. 20(5). 389–400. 87 indexed citations
9.
Wąsowicz, Wojciech, Małgorzata Cieślak, Jadwiga Palus, et al.. (2011). Evaluation of biological effects of nanomaterials. Part I. Cyto- and genotoxicity of nanosilver composites applied in textile technologies. International Journal of Occupational Medicine and Environmental Health. 24(4). 348–58. 9 indexed citations
10.
Nawrot, Barbara, Elżbieta Sochacka, & Markus Düchler. (2011). tRNA structural and functional changes induced by oxidative stress. Cellular and Molecular Life Sciences. 68(24). 4023–4032. 66 indexed citations
11.
Koprowska, Kamila, et al.. (2010). Parthenolide, a sesquiterpene lactone from the medical herb feverfew, shows anticancer activity against human melanoma cells in vitro. Melanoma Research. 20(1). 21–34. 73 indexed citations
12.
Hubmann, Rainer, Markus Düchler, Susanne Schnabl, et al.. (2009). NOTCH2 links protein kinase C delta to the expression of CD23 in chronic lymphocytic leukaemia (CLL) cells. British Journal of Haematology. 148(6). 868–878. 24 indexed citations
13.
Czyż, Małgorzata, et al.. (2005). Effects of anthracycline derivatives on human leukemia K562 cell growth and differentiation. Biochemical Pharmacology. 70(10). 1431–1442. 23 indexed citations
14.
Hubmann, Rainer, et al.. (2004). Regulation of CD23 expression by Notch2 in B-cell chronic lymphocytic leukemia. Leukemia & lymphoma. 46(2). 157–165. 9 indexed citations
15.
Düchler, Markus, et al.. (2002). Somatic gene transfer into the lactating ovine mammary gland. The Journal of Gene Medicine. 4(3). 282–291. 5 indexed citations
16.
Hofer, Erhard, Yuri Sobanov, Christine Brostjan, Hans Lehrach, & Markus Düchler. (2001). The centromeric part of the human natural killer (NK) receptor complex: lectin‐like receptor genes expressed in NK, dendritic and endothelial cells. Immunological Reviews. 181(1). 5–19. 28 indexed citations
17.
Sobanov, Yuri, Andreas Bernreiter, Sophia Derdak, et al.. (2001). A novel cluster of lectin-like receptor genes expressed in monocytic, dendritic and endothelial cells maps close to the NK receptor genes in the human NK gene complex. European Journal of Immunology. 31(12). 3493–3503. 97 indexed citations
18.
Düchler, Markus, et al.. (1998). OMEC II: A new ovine mammary epithelial cell line. Biology of the Cell. 90(2). 199–205. 18 indexed citations
19.
Düchler, Markus, Martin Offterdinger, Harry Holzmüller, et al.. (1995). NKG2‐C is a receptor on human natural killer cells that recognizes structures on K562 target cells. European Journal of Immunology. 25(10). 2923–2931. 24 indexed citations
20.
Hofer, Erhard, et al.. (1992). Candidate natural killer cell receptors. Immunology Today. 13(11). 429–430. 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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