Ilja Küsters

733 citations
15 papers · 613 · h-index 11

Impact in

  • Genetics top 10%
    • Bacterial Genetics and Biotechnology
    • Barrier Structure and Function Studies

Papers in

    • Bacterial Genetics and Biotechnology 8
    • Lipid Membrane Structure and Behavior 5
    • Advanced Biosensing Techniques and Applications 1

Ilja Küsters

15 papers receiving 603 citations

Peers

Ilja Küsters
Comparison fields: 5 of 60
  • Genetics 247
  • Neurology 35
  • Molecular Biology 253
  • Cell Biology 40
  • Structural Biology 6
Replace Thomas Waizenegger with:
Thomas Waizenegger Germany
Matthieu Delincé United States
Benno Kuropka Germany
Jonathan M. Wojciak United States
Giulia Calloni Germany
Hélène Cwerman‐Thibault France
Dirk Landgraf United States
Daying Wen Australia
Karen A. Lewis United States
Valery M. Lipkin Russia
Ilja Küsters relative to Thomas Waizenegger Germany Thomas Waizenegger's profile →
Citations per field
00.5×2×3×4.4×
Thomas Waizenegger · 1×
Citations per year

Countries citing papers authored by Ilja Küsters

Since Specialization
Citations

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

Fields of papers citing papers by Ilja Küsters

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 2020109
2 201594
3 200787
4 201161
5 201157
6 201156
7 202040
8 200824
9 201424
10 201120
11 201514
12 201311
13 20109
14 20246
15 20131

About Ilja Küsters

Ilja Küsters is a scholar working on Genetics, Molecular Biology, Biophysics, Neurology and Cell Biology, having authored 15 papers that have together received 613 indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (8 papers), Lipid Membrane Structure and Behavior (5 papers), Plasmonic and Surface Plasmon Research (1 paper), Advanced Fluorescence Microscopy Techniques (1 paper), Advanced Biosensing Techniques and Applications (1 paper), Barrier Structure and Function Studies (1 paper), Cellular transport and secretion (1 paper) and Monoclonal and Polyclonal Antibodies Research (1 paper). The work is most often cited by research in Genetics (247 citations), Neurology (35 citations), Molecular Biology (253 citations), Cell Biology (40 citations) and Structural Biology (6 citations). Ilja Küsters has collaborated with scholars based in Netherlands, United States and Germany. Frequent co-authors include Arnold J. M. Driessen, Victor V. Krasnikov, Alexej Kedrov, Antonella Caforio, Ulf Gerth, Robert L. Switzer, Stephan Michalik, Holger Kock, Michael Hecker and Geert van den Bogaart. Their work appears in journals such as PLoS ONE, The Journal of Cell Biology, Frontiers in Bioengineering and Biotechnology, ACS Nano and Biochimica et Biophysica Acta (BBA) - Biomembranes.

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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