Stefan Gahbauer

9 papers receiving 583 citations

Hit Papers

A practical guide to large-scale docking20212026202220242021100200300

Peers

Stefan Gahbauer
Comparison fields: 5 of 90
  • Molecular Biology 425
  • Computational Theory and Mathematics 190
  • Cellular and Molecular Neuroscience 112
  • Organic Chemistry 64
  • Oncology 61
Replace Brian J. Bender with:
Brian J. Bender United States
Ori Kalid United States
Hayarpi Torosyan United States
Marlet Martínez‐Archundia Mexico
Andy Merritt United Kingdom
Stephen Boulton Canada
Patricia Soulard United States
Andreas Luttens Sweden
Klaus Michelsen United States
Apurba Bhattarai United States
Stefan Gahbauer relative to Brian J. Bender United States Brian J. Bender's profile →
Citations per field
00.5×1.5×
Brian J. Bender · 1×
Citations per year

Countries citing papers authored by Stefan Gahbauer

Since Specialization
Citations

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

Fields of papers citing papers by Stefan Gahbauer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stefan Gahbauer

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

All Works

10 of 10 papers shown
#WorkIndexed citations
1 0
2 2
3 3
4 19
5 24
6
A practical guide to large-scale dockingbreakdown →
310
7 21
8 34
9 80
10 98

About Stefan Gahbauer

Stefan Gahbauer is a scholar working on Molecular Biology, Computational Theory and Mathematics and Cellular and Molecular Neuroscience, having authored 10 papers that have together received 591 indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (5 papers), Protein Structure and Dynamics (3 papers) and Lipid Membrane Structure and Behavior (3 papers). The work is most often cited by research in Computational Theory and Mathematics (190 citations), Molecular Biology (425 citations) and Cellular and Molecular Neuroscience (112 citations). Stefan Gahbauer has collaborated with scholars based in United States, Germany and Ukraine. Frequent co-authors include Rainer A. Böckmann, Brian K. Shoichet, John J. Irwin, Elissa A. Fink, Jiankun Lyu, Chase M. Webb, Jens Carlsson, Trent E. Balius, Andreas Luttens and Reed M. Stein. Their work appears in journals such as Nature Communications, The Journal of Physical Chemistry B and Nature Protocols.

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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