K. Maskos

5.2k total citations · 1 hit paper
59 papers, 4.0k citations indexed

About

K. Maskos is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, K. Maskos has authored 59 papers receiving a total of 4.0k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Molecular Biology, 31 papers in Oncology and 24 papers in Cancer Research. Recurrent topics in K. Maskos's work include Peptidase Inhibition and Analysis (25 papers), Protease and Inhibitor Mechanisms (23 papers) and Signaling Pathways in Disease (10 papers). K. Maskos is often cited by papers focused on Peptidase Inhibition and Analysis (25 papers), Protease and Inhibitor Mechanisms (23 papers) and Signaling Pathways in Disease (10 papers). K. Maskos collaborates with scholars based in Germany, United States and United Kingdom. K. Maskos's co-authors include Wolfram Bode, Robert Huber, Hideaki Nagase, Rudi Glockshuber, Gleb Bourenkov, H.D. Bartunik, F. Xavier Gomis‐Rüth, C. Fernandez-Catalan, Michael Betz and Keith Brew and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

K. Maskos

58 papers receiving 3.9k citations

Hit Papers

Mechanism of inhibition of the human matrix metalloprotei... 1997 2026 2006 2016 1997 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
K. Maskos Germany 38 2.1k 1.6k 1.5k 471 417 59 4.0k
Shijie Sheng United States 40 3.7k 1.8× 1.6k 1.0× 2.9k 1.9× 280 0.6× 195 0.5× 85 6.0k
Joseph G. Bieth France 39 2.2k 1.0× 947 0.6× 1.9k 1.2× 781 1.7× 483 1.2× 148 5.2k
Bernard Sordat Switzerland 37 2.3k 1.1× 1.7k 1.1× 1.0k 0.7× 474 1.0× 349 0.8× 111 5.7k
Werner Machleidt Germany 40 2.6k 1.3× 604 0.4× 882 0.6× 336 0.7× 366 0.9× 107 4.7k
Brigita Lenar≷cic̆ Slovenia 31 1.5k 0.7× 670 0.4× 824 0.5× 93 0.2× 324 0.8× 70 2.8k
John E. Fothergill United Kingdom 29 1.7k 0.8× 854 0.5× 894 0.6× 378 0.8× 152 0.4× 68 3.8k
Axel Ullrich Germany 27 3.7k 1.8× 2.2k 1.4× 1.1k 0.7× 169 0.4× 172 0.4× 55 6.1k
Kazunori Hanada Japan 26 1.8k 0.9× 683 0.4× 700 0.5× 125 0.3× 308 0.7× 71 3.4k
M A Brown United States 13 1.3k 0.6× 618 0.4× 582 0.4× 243 0.5× 205 0.5× 16 2.5k
Filip Lardon Belgium 45 2.9k 1.4× 2.7k 1.7× 1.2k 0.8× 268 0.6× 202 0.5× 170 6.4k

Countries citing papers authored by K. Maskos

Since Specialization
Citations

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

Fields of papers citing papers by K. Maskos

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of K. Maskos

This figure shows the co-authorship network connecting the top 25 collaborators of K. Maskos. A scholar is included among the top collaborators of K. Maskos 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 K. Maskos. K. Maskos 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.
Methot, Joey L., Matthew J. Mitcheltree, Andrew J. Musacchio, et al.. (2025). The Discovery of Bridged Benzoazepine Amides as Selective Allosteric Modulators of RIPK1. ACS Medicinal Chemistry Letters. 16(5). 811–818.
2.
Koehler, Michael F. T., Philippe Bergeron, Elizabeth M. Blackwood, et al.. (2016). Development of a Potent, Specific CDK8 Kinase Inhibitor Which Phenocopies CDK8/19 Knockout Cells. ACS Medicinal Chemistry Letters. 7(3). 223–228. 65 indexed citations
3.
Ivanov, Iván, et al.. (2015). Production of aggregation prone human interferon gamma and its mutant in highly soluble and biologically active form by SUMO fusion technology. Protein Expression and Purification. 117. 26–34. 16 indexed citations
4.
Grädler, Ulrich, Paul Czodrowski, Markus Klein, et al.. (2014). Structure-based optimization of non-peptidic Cathepsin D inhibitors. Bioorganic & Medicinal Chemistry Letters. 24(17). 4141–4150. 21 indexed citations
5.
Blasche, Sonja, Mario Mörtl, H. Steuber, et al.. (2013). The E. coli Effector Protein NleF Is a Caspase Inhibitor. PLoS ONE. 8(3). e58937–e58937. 78 indexed citations
6.
Bayés, Àlex, M. Comellas-Bigler, K. Maskos, et al.. (2005). Structural basis of the resistance of an insect carboxypeptidase to plant protease inhibitors. Proceedings of the National Academy of Sciences. 102(46). 16602–16607. 51 indexed citations
7.
Comellas-Bigler, M., et al.. (2005). Crystal Structure of the E.coli Dipeptidyl Carboxypeptidase Dcp: Further Indication of a Ligand-dependant Hinge Movement Mechanism. Journal of Molecular Biology. 349(1). 99–112. 32 indexed citations
8.
Comellas-Bigler, M., K. Maskos, Robert Huber, et al.. (2004). 1.2 Å Crystal Structure of the Serine Carboxyl Proteinase Pro-Kumamolisin. Structure. 12(7). 1313–1323. 52 indexed citations
9.
Braun, Marianne, Nor Eddine Sounni, Agnès Noël, et al.. (2003). Crystal Structure of the Catalytic Domain of MMP-16/MT3-MMP: Characterization of MT-MMP Specific Features. Journal of Molecular Biology. 336(1). 213–225. 37 indexed citations
11.
Lee, Meng‐Huee, Vandana Verma, K. Maskos, et al.. (2002). The C‐terminal domains of TACE weaken the inhibitory action of N‐TIMP‐3. FEBS Letters. 520(1-3). 102–106. 29 indexed citations
12.
Estébanez‐Perpiñá, Eva, Pablo Fuentes‐Prior, Didier Belorgey, et al.. (2002). Caspase activator human granzyme B, crystal structure and implications in apoptosis. Acta Crystallographica Section A Foundations of Crystallography. 58(s1). c280–c280. 1 indexed citations
13.
Maskos, K., Martina Huber‐Wunderlich, & Rudi Glockshuber. (2002). DsbA and DsbC-catalyzed Oxidative Folding of Proteins with Complex Disulfide Bridge Patterns In Vitro and In Vivo. Journal of Molecular Biology. 325(3). 495–513. 58 indexed citations
14.
Kocourek, Andreas, Marianne Braun, Harald Tschesche, et al.. (2001). Substrate specificity determinants of human macrophage elastase (MMP-12) based on the 1.1 Å crystal structure 1 1Edited by I. Wilson. Journal of Molecular Biology. 312(4). 731–742. 88 indexed citations
15.
Bode, Wolfram, C. Fernandez-Catalan, Hideaki Nagase, & K. Maskos. (1999). Endoproteinase‐protein inhibitor interactions. Apmis. 107(1-6). 3–10. 34 indexed citations
17.
Tuuttila, Ari, Ekaterina Morgunova, Ulrich Bergmann, et al.. (1998). Three-dimensional structure of human tissue inhibitor of metalloproteinases-2 at 2.1 Å resolution. Journal of Molecular Biology. 284(4). 1133–1140. 77 indexed citations
18.
Strobl, Stefan, Ronald Wiltscheck, K. Maskos, et al.. (1995). Determination of the Three-Dimensional Structure of the Bifunctional .alpha.-Amylase/Trypsin Inhibitor from Ragi Seeds by NMR Spectroscopy. Biochemistry. 34(26). 8281–8293. 72 indexed citations
19.
Wunderlich, Martina, et al.. (1995). Efficient Catalysis of Disulfide Formation During Protein Folding with a Single Active-site Cysteine. Journal of Molecular Biology. 247(1). 28–33. 67 indexed citations
20.
Maskos, K.. (1974). Studies on electron spin resonance of Cu2+ complexes with nucleosides.. PubMed. 21(3). 255–61. 5 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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