Markus Schade

1.1k total citations
27 papers, 818 citations indexed

About

Markus Schade is a scholar working on Molecular Biology, Materials Chemistry and Computational Theory and Mathematics. According to data from OpenAlex, Markus Schade has authored 27 papers receiving a total of 818 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 5 papers in Materials Chemistry and 4 papers in Computational Theory and Mathematics. Recurrent topics in Markus Schade's work include Computational Drug Discovery Methods (4 papers), RNA and protein synthesis mechanisms (4 papers) and Tuberculosis Research and Epidemiology (3 papers). Markus Schade is often cited by papers focused on Computational Drug Discovery Methods (4 papers), RNA and protein synthesis mechanisms (4 papers) and Tuberculosis Research and Epidemiology (3 papers). Markus Schade collaborates with scholars based in Germany, United Kingdom and United States. Markus Schade's co-authors include Hartmut Oschkinat, Ky Lowenhaupt, Peter Schmieder, Alan Herbert, Andrew D. Scott, Christopher M. Read, Robert J. Moore, Chris Phillips, Andrew R. Pickford and David G. Brown 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

Markus Schade

27 papers receiving 798 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 Schade Germany 14 557 129 79 67 65 27 818
Fernando A. Melo Brazil 14 664 1.2× 44 0.3× 69 0.9× 41 0.6× 36 0.6× 27 998
Ana Lazic United States 7 398 0.7× 47 0.4× 40 0.5× 39 0.6× 47 0.7× 8 643
John B. Jordan United States 16 443 0.8× 70 0.5× 60 0.8× 29 0.4× 99 1.5× 21 827
Chuan Li United States 11 657 1.2× 63 0.5× 160 2.0× 41 0.6× 18 0.3× 19 994
Noriaki Okimoto Japan 19 742 1.3× 98 0.8× 172 2.2× 128 1.9× 31 0.5× 46 1.2k
Fenfei Leng United States 23 1.1k 2.0× 176 1.4× 48 0.6× 43 0.6× 29 0.4× 76 1.5k
Guillaume Bec France 18 796 1.4× 58 0.4× 29 0.4× 182 2.7× 65 1.0× 28 1.0k
Charlotte A. Scarff United Kingdom 18 689 1.2× 117 0.9× 105 1.3× 50 0.7× 37 0.6× 30 1.1k
Idlir Liko United Kingdom 23 1.5k 2.6× 33 0.3× 154 1.9× 48 0.7× 48 0.7× 37 2.0k
Hiroyasu Ohtaka United States 9 452 0.8× 84 0.7× 62 0.8× 248 3.7× 62 1.0× 12 793

Countries citing papers authored by Markus Schade

Since Specialization
Citations

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

Fields of papers citing papers by Markus Schade

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Markus Schade

This figure shows the co-authorship network connecting the top 25 collaborators of Markus Schade. A scholar is included among the top collaborators of Markus Schade 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 Schade. Markus Schade 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.
Pike, Andy, et al.. (2025). Lessons learned in linking PROTACs from discovery to the clinic. Nature Reviews Chemistry. 10(2). 117–132. 1 indexed citations
2.
Schade, Markus, James S. Scott, Thomas G. Hayhow, et al.. (2024). Structural and Physicochemical Features of Oral PROTACs. Journal of Medicinal Chemistry. 67(15). 13106–13116. 32 indexed citations
3.
Schade, Markus, et al.. (2024). Negative cooperativity in the formation of H-bond networks involving primary anilines. Chemical Science. 15(30). 12036–12041. 4 indexed citations
4.
Hargreaves, David, Rodrigo J. Carbajo, Michael S. Bodnarchuk, et al.. (2023). Design of rigid protein–protein interaction inhibitors enables targeting of undruggable Mcl-1. Proceedings of the National Academy of Sciences. 120(21). e2221967120–e2221967120. 5 indexed citations
5.
Bertarello, Andrea, Pierrick Berruyer, Urban Skantze, et al.. (2021). Quantification of magic angle spinning dynamic nuclear polarization NMR spectra. Journal of Magnetic Resonance. 329. 107030–107030. 9 indexed citations
6.
Schade, Markus, et al.. (2020). Highly Selective Sub-Nanomolar Cathepsin S Inhibitors by Merging Fragment Binders with Nitrile Inhibitors. Journal of Medicinal Chemistry. 63(20). 11801–11808. 8 indexed citations
7.
Alen, Jo, Markus Schade, Markus Wagener, et al.. (2019). Fragment-Based Discovery of Novel Potent Sepiapterin Reductase Inhibitors. Journal of Medicinal Chemistry. 62(13). 6391–6397. 14 indexed citations
8.
Shuster, Jeremiah, et al.. (2019). Does the primary deposit affect the biogeochemical transformation of placer gold and associated biofilms?. Gondwana Research. 73. 77–95. 8 indexed citations
9.
Vargas, Carolyn, Gerald Radziwill, Gerd Krause, et al.. (2014). Small‐Molecule Inhibitors of AF6 PDZ‐Mediated Protein–Protein Interactions. ChemMedChem. 9(7). 1458–1462. 6 indexed citations
10.
Scheich, Christoph, Zoltán Szabadka, Beáta G. Vértessy, et al.. (2011). Discovery of Novel MDR-Mycobacterium tuberculosis Inhibitor by New FRIGATE Computational Screen. PLoS ONE. 6(12). e28428–e28428. 13 indexed citations
11.
Phillips, Chris, Lee R. Roberts, Markus Schade, et al.. (2011). Design and Structure of Stapled Peptides Binding to Estrogen Receptors. Journal of the American Chemical Society. 133(25). 9696–9699. 208 indexed citations
12.
Scheich, Christoph, et al.. (2010). Novel Small Molecule Inhibitors of MDR Mycobacterium tuberculosis by NMR Fragment Screening of Antigen 85C. Journal of Medicinal Chemistry. 53(23). 8362–8367. 30 indexed citations
13.
Schade, Markus, Olga Varlamova, J. Reif, et al.. (2009). High-resolution investigations of ripple structures formed by femtosecond laser irradiation of silicon. Analytical and Bioanalytical Chemistry. 396(5). 1905–1911. 60 indexed citations
14.
Schade, Markus, Matthias Gründling, D. Pavlović, et al.. (2009). Glutamine and alanyl-glutamine dipeptide reduce mesenteric plasma extravasation, leukocyte adhesion and tumor necrosis factor-α (TNF-α) release during experimental endotoxemia.. PubMed. 60 Suppl 8. 19–24. 7 indexed citations
15.
Joshi, Mangesh, Carolyn Vargas, Prisca Boisguérin, et al.. (2006). Discovery of Low‐Molecular‐Weight Ligands for the AF6 PDZ Domain. Angewandte Chemie International Edition. 45(23). 3790–3795. 33 indexed citations
16.
Schade, Markus. (2006). NMR fragment screening: Advantages and applications.. PubMed. 9(2). 110–3. 12 indexed citations
17.
Schade, Markus & Hartmut Oschkinat. (2005). NMR fragment screening: tackling protein-protein interaction targets.. PubMed. 8(3). 365–73. 23 indexed citations
18.
Schade, Markus, et al.. (1999). A 6 bp Z‐DNA hairpin binds two Zα domains from the human RNA editing enzyme ADAR1. FEBS Letters. 458(1). 27–31. 27 indexed citations
19.
Schade, Markus, Christopher J. Turner, Ronald Kühne, et al.. (1999). The solution structure of the Zα domain of the human RNA editing enzyme ADAR1 reveals a prepositioned binding surface for Z-DNA. Proceedings of the National Academy of Sciences. 96(22). 12465–12470. 80 indexed citations
20.

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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