Michael Wiese

4.4k total citations
108 papers, 3.8k citations indexed

About

Michael Wiese is a scholar working on Oncology, Molecular Biology and Infectious Diseases. According to data from OpenAlex, Michael Wiese has authored 108 papers receiving a total of 3.8k indexed citations (citations by other indexed papers that have themselves been cited), including 84 papers in Oncology, 57 papers in Molecular Biology and 43 papers in Infectious Diseases. Recurrent topics in Michael Wiese's work include Drug Transport and Resistance Mechanisms (78 papers), HIV/AIDS drug development and treatment (43 papers) and Cancer therapeutics and mechanisms (23 papers). Michael Wiese is often cited by papers focused on Drug Transport and Resistance Mechanisms (78 papers), HIV/AIDS drug development and treatment (43 papers) and Cancer therapeutics and mechanisms (23 papers). Michael Wiese collaborates with scholars based in Germany, Bulgaria and United Kingdom. Michael Wiese's co-authors include Ilza Pajeva, Kapil Juvale, Christoph Globisch, Sven Marcel Stefan, Jennifer Gallus, Henrik Müller, Katja Stefan, Veronika F.S. Pape, Vigneshwaran Namasivayam and Christa E. Müller and has published in prestigious journals such as Angewandte Chemie International Edition, SHILAP Revista de lepidopterología and Bioinformatics.

In The Last Decade

Michael Wiese

108 papers receiving 3.7k citations

Author Peers

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

Author Last Decade Papers Cites
Michael Wiese 2.2k 1.6k 1.0k 809 500 108 3.8k
Peter Chiba 1.7k 0.8× 1.3k 0.8× 560 0.6× 522 0.6× 333 0.7× 127 3.3k
Anne H. Dantzig 2.2k 1.0× 1.4k 0.9× 473 0.5× 186 0.2× 215 0.4× 62 3.5k
Ilza Pajeva 993 0.4× 1.1k 0.6× 381 0.4× 368 0.5× 413 0.8× 83 2.2k
Pär Matsson 1.3k 0.6× 1.1k 0.7× 216 0.2× 297 0.4× 415 0.8× 36 2.8k
Zsolt Bikádi 932 0.4× 1.7k 1.0× 179 0.2× 589 0.7× 286 0.6× 70 3.1k
Philip S. Burton 1.4k 0.6× 1.5k 0.9× 124 0.1× 407 0.5× 303 0.6× 49 3.5k
Yue Weng 1.2k 0.5× 894 0.5× 308 0.3× 535 0.7× 78 0.2× 34 2.2k
Prakash Mistry 2.2k 1.0× 1.5k 0.9× 351 0.3× 787 1.0× 45 0.1× 56 3.5k
Robert L. Shepard 1.3k 0.6× 831 0.5× 318 0.3× 111 0.1× 141 0.3× 34 2.0k
Hing L. Sham 558 0.2× 2.1k 1.3× 870 0.9× 2.0k 2.5× 414 0.8× 134 4.6k

Countries citing papers authored by Michael Wiese

Since Specialization
Citations

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

Fields of papers citing papers by Michael Wiese

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Wiese

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Wiese. A scholar is included among the top collaborators of Michael Wiese 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 Michael Wiese. Michael Wiese 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.
Namasivayam, Vigneshwaran, et al.. (2021). C@PA: Computer-Aided Pattern Analysis to Predict Multitarget ABC Transporter Inhibitors. Journal of Medicinal Chemistry. 64(6). 3350–3366. 31 indexed citations
2.
Namasivayam, Vigneshwaran, et al.. (2021). Scaffold fragmentation and substructure hopping reveal potential, robustness, and limits of computer-aided pattern analysis (C@PA). Computational and Structural Biotechnology Journal. 19. 3269–3283. 21 indexed citations
3.
4.
Wiese, Michael & Sven Marcel Stefan. (2019). The A‐B‐C of small‐molecule ABC transport protein modulators: From inhibition to activation—a case study of multidrug resistance‐associated protein 1 (ABCC1). Medicinal Research Reviews. 39(6). 2031–2081. 29 indexed citations
5.
Stefan, Sven Marcel & Michael Wiese. (2018). Small‐molecule inhibitors of multidrug resistance‐associated protein 1 and related processes: A historic approach and recent advances. Medicinal Research Reviews. 39(1). 176–264. 58 indexed citations
6.
Stefan, Sven Marcel, et al.. (2016). Pyrrolopyrimidine Derivatives as Novel Inhibitors of Multidrug Resistance-Associated Protein 1 (MRP1, ABCC1). Journal of Medicinal Chemistry. 59(7). 3018–3033. 44 indexed citations
7.
Stefan, Sven Marcel, et al.. (2016). Pyrrolopyrimidine derivatives and purine analogs as novel activators of Multidrug Resistance-associated Protein 1 (MRP1, ABCC1). Biochimica et Biophysica Acta (BBA) - Biomembranes. 1859(1). 69–79. 22 indexed citations
8.
Wiese, Michael, et al.. (2015). HM30181 Derivatives as Novel Potent and Selective Inhibitors of the Breast Cancer Resistance Protein (BCRP/ABCG2). Journal of Medicinal Chemistry. 58(9). 3910–3921. 71 indexed citations
9.
Michaelis, Martin, Florian Rothweiler, Thomas Nerreter, et al.. (2014). Association between acquired resistance to PLX4032 (vemurafenib) and ATP-binding cassette transporter expression. BMC Research Notes. 7(1). 710–710. 12 indexed citations
10.
Gallus, Jennifer, Kapil Juvale, & Michael Wiese. (2014). Characterization of 3-methoxy flavones for their interaction with ABCG2 as suggested by ATPase activity. Biochimica et Biophysica Acta (BBA) - Biomembranes. 1838(11). 2929–2938. 29 indexed citations
11.
Wiese, Michael, et al.. (2012). Tyrosine Kinase Inhibitors Influence ABCG2 Expression in EGFR‐Positive MDCK BCRP Cells via the PI3K/Akt Signaling Pathway. ChemMedChem. 7(4). 650–662. 72 indexed citations
12.
Juvale, Kapil, Veronika F.S. Pape, & Michael Wiese. (2011). Investigation of chalcones and benzochalcones as inhibitors of breast cancer resistance protein. Bioorganic & Medicinal Chemistry. 20(1). 346–355. 109 indexed citations
13.
Rothweiler, Florian, Martin Michaelis, Peter Bräuer, et al.. (2010). Anticancer Effects of the Nitric Oxide-Modified Saquinavir Derivative Saquinavir-NO against Multidrug-Resistant Cancer Cells. Neoplasia. 12(12). 1023–IN17. 53 indexed citations
14.
15.
Pajeva, Ilza & Michael Wiese. (2009). Structure–Activity Relationships of Tariquidar Analogs as Multidrug Resistance Modulators. The AAPS Journal. 11(3). 435–44. 34 indexed citations
16.
Gütschow, Michael, et al.. (2008). A 4-aminobenzoic acid derivative as novel lead for selective inhibitors of multidrug resistance-associated proteins. Bioorganic & Medicinal Chemistry Letters. 18(17). 4761–4763. 19 indexed citations
17.
Jekerle, Veronika, et al.. (2006). In vitro and in vivo evaluation of WK‐X‐34, a novel inhibitor of P‐glycoprotein and BCRP, using radio imaging techniques. International Journal of Cancer. 119(2). 414–422. 56 indexed citations
18.
Jekerle, Veronika, et al.. (2006). Novel tetrahydroisoquinolin-ethyl-phenylamine based multidrug resistance inhibitors with broad-spectrum modulating properties. Cancer Chemotherapy and Pharmacology. 59(1). 61–69. 23 indexed citations
19.
Pajeva, Ilza & Michael Wiese. (1997). QSAR and Molecular Modelling of Catamphiphilic Drugs Able to Modulate Multidrug Resistance in Tumors. Quantitative Structure-Activity Relationships. 16(1). 1–10. 29 indexed citations
20.
Baláž, Štefan, Michael Wiese, & Joachim K. Seydel. (1991). A kinetic description of the fate of chemicals in biosystems. The Science of The Total Environment. 109-110. 357–375. 2 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Peter Chiba Breakdown of academic impact, for papers by Anne H. Dantzig Breakdown of academic impact, for papers by Ilza Pajeva Breakdown of academic impact, for papers by Pär Matsson Breakdown of academic impact, for papers by Zsolt Bikádi Breakdown of academic impact, for papers by Philip S. Burton Breakdown of academic impact, for papers by Yue Weng Breakdown of academic impact, for papers by Prakash Mistry Breakdown of academic impact, for papers by Robert L. Shepard Breakdown of academic impact, for papers by Hing L. Sham
Rankless by CCL
2026