Kai Krämer

762 citations
23 papers · 662 · h-index 11

Impact in

  • Biomaterials top 10%
    • Nanoparticle-Based Drug Delivery
    • Carbon Nanotubes in Composites
    • Graphene research and applications
    • Nanoparticles: synthesis and applications

Papers in

Kai Krämer

21 papers receiving 636 citations

Peers

Kai Krämer
Comparison fields: 5 of 86
  • Biomaterials 115
  • Materials Chemistry 334
  • Biomedical Engineering 253
  • Electronic, Optical and Magnetic Materials 69
  • Immunology 70
Replace Diego Pallarola with:
Diego Pallarola Argentina
David Warther France
Yijian Gao China
Meiru Lu China
Eva Sunnick Germany
Xiongqi Han China
Yuchen Tian China
Yinlin Sha China
Muthu Kumara Gnanasammandhan Jayakumar Singapore
Eleonora Muro France
Kai Krämer relative to Diego Pallarola Argentina Diego Pallarola's profile →
Citations per field
00.5×2.8×
Diego Pallarola · 1×
Citations per year

Countries citing papers authored by Kai Krämer

Since Specialization
Citations

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

Fields of papers citing papers by Kai Krämer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008214
2 200495
3 200070
4 200955
5 200848
6 201042
7 200928
8 200327
9 200921
10 199913
11 202112
12 19918
13 20018
14 19987
15 20115
16 20232
17 20242
18 20222
19 20251
20 20061

About Kai Krämer

Kai Krämer is a scholar working on Molecular Biology, Immunology, Biomedical Engineering, Materials Chemistry and Cellular and Molecular Neuroscience, having authored 23 papers that have together received 662 indexed citations. Recurring topics across this work include Mast cells and histamine (5 papers), Receptor Mechanisms and Signaling (4 papers), Carbon Nanotubes in Composites (3 papers), Asthma and respiratory diseases (3 papers), Neuropeptides and Animal Physiology (3 papers), Nanopore and Nanochannel Transport Studies (3 papers), Recycling and Waste Management Techniques (2 papers) and Nanoparticle-Based Drug Delivery (2 papers). The work is most often cited by research in Biomaterials (115 citations), Materials Chemistry (334 citations), Biomedical Engineering (253 citations), Electronic, Optical and Magnetic Materials (69 citations) and Immunology (70 citations). Kai Krämer has collaborated with scholars based in Germany, Poland and United States. Frequent co-authors include B. Büchner, A. Leonhardt, Silke Hampel, M. Ritschel, Diana Haase, Manfred P. Wirth, Steffen Oswald, Arthur Taylor, R. Klingeler and Walter Schunack. Their work appears in journals such as Journal of Magnetism and Magnetic Materials, Journal of Medicinal Chemistry, Naunyn-Schmiedeberg s Archives of Pharmacology, Nanomedicine and Journal of Nanoscience and Nanotechnology.

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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