Konstantin Schütze

10.4k citations
9 papers · 5.1k indexed · 1 hit paper · h-index 6
Topics
Machine Learning in Bioinformatics (5 papers)Genomics and Phylogenetic Studies (4 papers)Bioinformatics and Genomic Networks (3 papers)
Journals
Nature CommunicationsSHILAP Revista de lepidopterologíaBioinformatics

In The Last Decade

Konstantin Schütze

8 papers receiving 5.1k citations

Hit Papers

ColabFold: making protein folding accessible to all2022202620232024202210002.0k3.0k4.0k5.0k

Peers

Konstantin Schütze
Comparison fields: 5 of 147
  • Molecular Biology 3.5k
  • Genetics 590
  • Plant Science 536
  • Cell Biology 494
  • Ecology 485
Replace Yoshitaka Moriwaki with:
Yoshitaka Moriwaki Japan
Kyeong Kyu Kim South Korea
Liam J. McGuffin United Kingdom
Vikram Alva Germany
Marco Biasini Switzerland
Kevin Bryson United Kingdom
Walid A. Houry Canada
Lim Heo United States
Haim Ashkenazy Israel
David Eramian United States
Konstantin Schütze relative to Yoshitaka Moriwaki Japan Yoshitaka Moriwaki's profile →
Citations per field
00.5×1.5×
Yoshitaka Moriwaki · 1×
Citations per year

Countries citing papers authored by Konstantin Schütze

Since Specialization
Citations

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

Fields of papers citing papers by Konstantin Schütze

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Konstantin Schütze

This figure shows the co-authorship network connecting the top 25 collaborators of Konstantin Schütze. A scholar is included among the top collaborators of Konstantin Schütze 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 Konstantin Schütze. Konstantin Schütze is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
#WorkIndexed citations
1 1
2 0
3 10
4 18
5
ColabFold: making protein folding accessible to allbreakdown →
5020
6 15
7 59
8 1
9 8

About Konstantin Schütze

Konstantin Schütze is a scholar working on Microbiology, Molecular Biology and Cell Biology, having authored 9 papers that have together received 5.1k indexed citations. Recurring topics across this work include Machine Learning in Bioinformatics (5 papers), Genomics and Phylogenetic Studies (4 papers) and Bioinformatics and Genomic Networks (3 papers). The work is most often cited by research in Molecular Biology (3.5k citations), Structural Biology (51 citations) and Endocrinology (162 citations). Konstantin Schütze has collaborated with scholars based in Germany, South Korea and United States. Frequent co-authors include Martin Steinegger, Sergey Ovchinnikov, Lim Heo, Milot Mirdita, Yoshitaka Moriwaki, Burkhard Rost, Michael Heinzinger, Christian Dallago, Maria Littmann and Tobias Olenyi. Their work appears in journals such as Nature Communications, SHILAP Revista de lepidopterología and Bioinformatics.

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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