Kai Licha

123 papers receiving 4.4k citations

Peers

Kai Licha
Comparison fields: 5 of 118
  • Biomaterials 724
  • Polymers and Plastics 682
  • Radiology, Nuclear Medicine and Imaging 1.2k
  • Pharmaceutical Science 190
  • Spectroscopy 422
Replace Gang Huang with:
Gang Huang United States
Suzie Hwang Pun United States
Aaron M. Mohs United States
Mark D. Bednarski United States
Wenhao Liu United States
Guanshu Liu United States
Vladimír Šubr Czechia
Conroy Sun United States
Cheol‐Hee Ahn South Korea
Michelle R. Longmire United States
Kai Licha relative to Gang Huang United States Gang Huang's profile →
Citations per field
00.5×2×4×6×8×9.6×
Gang Huang · 1×
Citations per year

Countries citing papers authored by Kai Licha

Since Specialization
Citations

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

Fields of papers citing papers by Kai Licha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 125 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001448
2 2010244
3 2005226
4 2000211
5 2002143
6 2010113
7 2001110
8 2011105
9 2009102
10 200097
11 201093
12 201790
13 200885
14 200082
15 201174
16 201374
17 200773
18 200871
19 201471
20 201167

About Kai Licha

Kai Licha is a scholar working on Radiology, Nuclear Medicine and Imaging, Polymers and Plastics, Spectroscopy, Pharmaceutical Science and Biomaterials, having authored 125 papers that have together received 4.7k indexed citations. Recurring topics across this work include Optical Imaging and Spectroscopy Techniques (50 papers), Dendrimers and Hyperbranched Polymers (28 papers), Molecular Sensors and Ion Detection (16 papers), Luminescence and Fluorescent Materials (12 papers), Nanoplatforms for cancer theranostics (10 papers), Nanoparticle-Based Drug Delivery (8 papers), Advanced Drug Delivery Systems (5 papers) and Advanced Fluorescence Microscopy Techniques (5 papers). The work is most often cited by research in Biomaterials (724 citations), Polymers and Plastics (682 citations), Radiology, Nuclear Medicine and Imaging (1.2k citations), Pharmaceutical Science (190 citations) and Spectroscopy (422 citations). Kai Licha has collaborated with scholars based in Germany, United States and Austria. Frequent co-authors include Rainer Haag, Pia Welker, Wolfhard Semmler, Andreas Becker, Bernd G. Ebert, Carsten Olbrich, Uwe Sukowski, Bertram J. Wiedenmann, Marcelo Calderón and Carsten Hessenius. Their work appears in journals such as Journal of Controlled Release, Bioconjugate Chemistry, Journal of Biomedical Optics, Biomacromolecules and Macromolecular Bioscience.

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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