Katharina Gaus

15.5k citations
255 papers · 12.2k indexed · h-index 58
Topics
Advanced Fluorescence Microscopy Techniques (67 papers)Lipid Membrane Structure and Behavior (45 papers)Advanced biosensing and bioanalysis techniques (27 papers)

In The Last Decade

Katharina Gaus

249 papers receiving 12.1k citations

Peers

Katharina Gaus
Comparison fields: 5 of 178
  • Molecular Biology 6.7k
  • Biomedical Engineering 2.3k
  • Cell Biology 2.1k
  • Immunology 1.8k
  • Biophysics 1.5k
Replace Jay T. Groves with:
Jay T. Groves United States
Sanford M. Simon United States
Alice Y. Ting United States
Barbara Baird United States
Philippe I. H. Bastiaens Germany
Takahiro Fujiwara Japan
Gerhard J. Schütz Austria
Peter Hinterdorfer Austria
Ben N. G. Giepmans Netherlands
Daniel Axelrod United States
Katharina Gaus relative to Jay T. Groves United States Jay T. Groves's profile →
Citations per field
00.5×1.5×1.8×
Jay T. Groves · 1×
Citations per year

Countries citing papers authored by Katharina Gaus

Since Specialization
Citations

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

Fields of papers citing papers by Katharina Gaus

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Katharina Gaus

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 23
2 0
3 19
4 10
5 1
6 5
7 28
8 40
9 143
10 51
11 107
12 19
13 6
14 72
15 21
16 237
17 62
18
b-ACC containing RGD peptides efficiently inhibit tumor cell adhesion
1
19 57
20 440

About Katharina Gaus

Katharina Gaus is a scholar working on Biophysics, Structural Biology and Immunology and Allergy, having authored 255 papers that have together received 12.2k indexed citations. Recurring topics across this work include Advanced Fluorescence Microscopy Techniques (67 papers), Lipid Membrane Structure and Behavior (45 papers) and Advanced biosensing and bioanalysis techniques (27 papers). The work is most often cited by research in Structural Biology (397 citations), Biophysics (1.5k citations) and Cell Biology (2.1k citations). Katharina Gaus has collaborated with scholars based in Australia, United Kingdom and United States. Frequent co-authors include J. Justin Gooding, Dylan M. Owen, Astrid Magenau, David J. Williamson, Wendy Jessup, Jérémie Rossy, Carles Rentero, Leonard Kritharides, Till Böcking and Thomas Harder. Their work appears in journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

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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