Sascha Urbaczek

485 citations
12 papers · 393 indexed · h-index 9
Topics
Computational Drug Discovery Methods (12 papers)Protein Structure and Dynamics (9 papers)Microbial Natural Products and Biosynthesis (3 papers)
Partner nations
GermanySwitzerland

In The Last Decade

Sascha Urbaczek

11 papers receiving 382 citations

Peers

Sascha Urbaczek
Comparison fields: 5 of 66
  • Computational Theory and Mathematics 276
  • Molecular Biology 272
  • Materials Chemistry 103
  • Pharmacology 70
  • Organic Chemistry 52
Replace Constantine Kreatsoulas with:
Constantine Kreatsoulas United States
Nils‐Ole Friedrich Germany
Ludovic Chaput France
Robert J. Jilek Netherlands
Sumudu P. Leelananda United States
Gerd Neudert Germany
Daniel Álvarez-García Spain
Sam Z. Grinter United States
Nikolay P. Todorov United Kingdom
Sahil Patel United Kingdom
Sascha Urbaczek relative to Constantine Kreatsoulas United States Constantine Kreatsoulas's profile →
Citations per field
00.5×4.3×
Constantine Kreatsoulas · 1×
Citations per year

Countries citing papers authored by Sascha Urbaczek

Since Specialization
Citations

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

Fields of papers citing papers by Sascha Urbaczek

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sascha Urbaczek

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

All Works

12 of 12 papers shown
#WorkIndexed citations
1 162
2 18
3
Protoss: a holistic approach to predict tautomers and protonation states in protein-ligand
0
4 17
5 52
6 25
7 17
8 2
9 27
10 16
11 56
12 1

About Sascha Urbaczek

Sascha Urbaczek is a scholar working on Computational Theory and Mathematics, Physical and Theoretical Chemistry and Spectroscopy, having authored 12 papers that have together received 393 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (12 papers), Protein Structure and Dynamics (9 papers) and Microbial Natural Products and Biosynthesis (3 papers). The work is most often cited by research in Computational Theory and Mathematics (276 citations), Pharmacology (70 citations) and Molecular Biology (272 citations). Sascha Urbaczek has collaborated with scholars based in Germany and Switzerland. Frequent co-authors include Matthias Rarey, Stefan Bietz, Benjamin Schulz, Stefan Heuser, Hans Briem, Tanja Schulz‐Gasch and Andrea Volkamer. Their work appears in journals such as Journal of Chemical Information and Modeling, Journal of Computer-Aided Molecular Design and Journal of Cheminformatics.

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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