K. Maskos

58 papers receiving 3.9k citations

K. Maskos's Hit Papers

Mechanism of inhibition of the human matrix metalloproteinase stromelysin-1 by TIMP-1 1997 · 501 citations
5010+9+19Years since publication100200300400500

Peers

K. Maskos
Comparison fields: 5 of 128
  • Cancer Research 1.5k
  • Oncology 1.6k
  • Immunology and Allergy 297
  • Biotechnology 417
  • Hematology 471
Replace Werner Machleidt with:
Werner Machleidt Germany
Axel Ullrich Germany
Bernard Sordat Switzerland
Joseph G. Bieth France
Petra Van Damme Belgium
Paul E. Stephens United Kingdom
John E. Fothergill United Kingdom
Richard A. Williamson United Kingdom
Paul Brennan United Kingdom
Brigita Lenar≷cic̆ Slovenia
K. Maskos relative to Werner Machleidt Germany Werner Machleidt's profile →
Citations per field
00.5×4.1×
Werner Machleidt · 1×
Citations per year

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-authors

The 25 scholars most cited alongside K. Maskos, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with K. Maskos Line = papers co-authored together K. Maskos links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 59 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Mechanism of inhibition of the human matrix metalloproteinase stromelysin-1 by TIMP-1
Hit paper breakdown →
1997501
2 1998310
3 1999166
4 2004162
5 2003131
6 2007126
7 1998123
8 2011104
9 1998100
10 200397
11 201396
12 200493
13 200188
14 200879
15 201378
16 199877
17 201074
18 199572
19 199567
20 200266

About K. Maskos

K. Maskos is a scholar working on Molecular Biology, Oncology, Cancer Research, Hematology and Biotechnology, having authored 59 papers that have together received 4.0k indexed citations. Recurring topics across this work include Peptidase Inhibition and Analysis (25 papers), Protease and Inhibitor Mechanisms (23 papers), Signaling Pathways in Disease (10 papers), Blood Coagulation and Thrombosis Mechanisms (8 papers), Enzyme Production and Characterization (6 papers), Monoclonal and Polyclonal Antibodies Research (6 papers), Studies on Chitinases and Chitosanases (4 papers) and Enzyme Structure and Function (4 papers). The work is most often cited by research in Cancer Research (1.5k citations), Oncology (1.6k citations), Immunology and Allergy (297 citations), Biotechnology (417 citations) and Hematology (471 citations). K. Maskos has collaborated with scholars based in Germany, United States and United Kingdom. Frequent 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. Their work appears in journals such as Journal of Molecular Biology, Journal of Biological Chemistry, Structure, Proceedings of the National Academy of Sciences and ACS Medicinal Chemistry Letters.

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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