Kay E. Gottschalk

1.3k citations
22 papers · 1.1k · h-index 17

Impact in

Papers in

Kay E. Gottschalk

22 papers receiving 1.1k citations

Peers

Kay E. Gottschalk
Comparison fields: 5 of 104
  • Immunology and Allergy 178
  • Cell Biology 183
  • Molecular Biology 572
  • Physiology 192
  • Biomaterials 105
Replace Camilo Aponte‐Santamaría with:
Camilo Aponte‐Santamaría Germany
Ewa P. Wojcikiewicz United States
Massimo Malcovati Italy
David A. Holowka United States
Kornelia Galior United States
G Hudry-Clergeon France
László Mátyus Hungary
Katrin G. Heinze Germany
Kay‐Eberhard Gottschalk Germany
Sébastien Harlepp France
Kay E. Gottschalk relative to Camilo Aponte‐Santamaría Germany Camilo Aponte‐Santamaría's profile →
Citations per field
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Camilo Aponte‐Santamaría · 1×
Citations per year

Countries citing papers authored by Kay E. Gottschalk

Since Specialization
Citations

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

Fields of papers citing papers by Kay E. Gottschalk

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kay E. Gottschalk. 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 Kay E. Gottschalk. The network helps show where Kay E. Gottschalk may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007243
2 2009136
3 200493
4 200684
5 200276
6 201464
7 200961
8 201160
9 201055
10 201240
11 200933
12 200630
13 200427
14 201023
15 200022
16 202018
17 200216
18 201410
19
Transmembrane signal-transduction of alpha-IIb/beta-3 Integrins
20029
20 20137

About Kay E. Gottschalk

Kay E. Gottschalk is a scholar working on Molecular Biology, Atomic and Molecular Physics, and Optics, Cell Biology, Immunology and Allergy and Materials Chemistry, having authored 22 papers that have together received 1.1k indexed citations. Recurring topics across this work include Force Microscopy Techniques and Applications (5 papers), Cell Adhesion Molecules Research (4 papers), Polymer Surface Interaction Studies (3 papers), Drug Transport and Resistance Mechanisms (3 papers), Protein Structure and Dynamics (3 papers), Cellular Mechanics and Interactions (3 papers), Enzyme Structure and Function (3 papers) and Wnt/β-catenin signaling in development and cancer (2 papers). The work is most often cited by research in Immunology and Allergy (178 citations), Cell Biology (183 citations), Molecular Biology (572 citations), Physiology (192 citations) and Biomaterials (105 citations). Kay E. Gottschalk has collaborated with scholars based in Germany, Israel and United States. Frequent co-authors include Martin Hoefling, Reinhard Fässler, Christopher Stremmel, Alexander Meves, Stefano Corni, Horst Kessler, Gideon Schreiber, Rüdiger Pipkorn, Gerd Multhaup and Anja Harmeier. Their work appears in journals such as Protein Science, Thrombosis and Haemostasis, FEBS Letters, Circulation Journal and Journal of Micromechanics and Microengineering.

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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