Stefan Köster

29 papers receiving 1.4k citations

Peers

Stefan Köster
Comparison fields: 5 of 100
  • Infectious Diseases 398
  • Endocrinology 92
  • Physiology 69
  • Epidemiology 437
  • Immunology 249
Replace Hélène Munier‐Lehmann with:
Hélène Munier‐Lehmann France
Daniel Gillet France
Madhumati Sevvana Germany
Masayo Kotaka Hong Kong
Scott Bailey United States
Gary Fujii United States
Ya Ha United States
Carl Schmitz Netherlands
Tatos Akopian United States
Kuen‐Phon Wu United States
Stefan Köster relative to Hélène Munier‐Lehmann France Hélène Munier‐Lehmann's profile →
Citations per field
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Hélène Munier‐Lehmann · 1×
Citations per year

Countries citing papers authored by Stefan Köster

Since Specialization
Citations

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

Fields of papers citing papers by Stefan Köster

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Stefan Köster, 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 Stefan Köster Line = papers co-authored together Stefan Köster links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016290
2 2017160
3 2013146
4 2014122
5 2010104
6 201883
7 201572
8 202059
9 201150
10 200945
11 201038
12 200935
13 201130
14 200927
15 201023
16 200821
17 200720
18 201017
19 201415
20 201214

About Stefan Köster

Stefan Köster is a scholar working on Molecular Biology, Infectious Diseases, Atomic and Molecular Physics, and Optics, Genetics and Epidemiology, having authored 29 papers that have together received 1.4k indexed citations. Recurring topics across this work include Lipid Membrane Structure and Behavior (8 papers), Force Microscopy Techniques and Applications (6 papers), Tuberculosis Research and Epidemiology (6 papers), RNA and protein synthesis mechanisms (5 papers), Bacterial Genetics and Biotechnology (5 papers), Calcium signaling and nucleotide metabolism (4 papers), Protein Structure and Dynamics (4 papers) and Salmonella and Campylobacter epidemiology (2 papers). The work is most often cited by research in Infectious Diseases (398 citations), Endocrinology (92 citations), Physiology (69 citations), Epidemiology (437 citations) and Immunology (249 citations). Stefan Köster has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Özkan Yıldız, Werner Kühlbrandt, Jennifer A. Philips, Daniel J. Müller, Mireille Ouimet, Ekansh Mittal, Mehdi Damaghi, Christian A. Bippes, Sabrina Schulze and Anke C. Terwisscha van Scheltinga. Their work appears in journals such as Journal of Molecular Biology, mBio, Angewandte Chemie International Edition, PLoS Pathogens and Methods in enzymology on CD-ROM/Methods in enzymology.

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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