Kai Licha

5.2k total citations
122 papers, 4.1k citations indexed

About

Kai Licha is a scholar working on Molecular Biology, Biomedical Engineering and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Kai Licha has authored 122 papers receiving a total of 4.1k indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Molecular Biology, 40 papers in Biomedical Engineering and 25 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Kai Licha's work include Nanoplatforms for cancer theranostics (27 papers), RNA Interference and Gene Delivery (25 papers) and Dendrimers and Hyperbranched Polymers (23 papers). Kai Licha is often cited by papers focused on Nanoplatforms for cancer theranostics (27 papers), RNA Interference and Gene Delivery (25 papers) and Dendrimers and Hyperbranched Polymers (23 papers). Kai Licha collaborates with scholars based in Germany, United States and Netherlands. Kai Licha's co-authors include Rainer Haag, Pia Welker, Andreas Becker, Wolfhard Semmler, Carsten Olbrich, Bernd Ebert, Uwe Sukowski, Bertram Wiedenmann, Carsten Hessenius and Marcelo Calderón and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Angewandte Chemie International Edition.

In The Last Decade

Kai Licha

119 papers receiving 4.0k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Kai Licha 1.6k 1.4k 740 739 730 122 4.1k
Mohamed E. H. ElSayed 1.8k 1.1× 1.8k 1.2× 1.1k 1.4× 178 0.2× 1.1k 1.5× 79 4.5k
J. Strohalm 2.2k 1.3× 1.3k 0.9× 2.7k 3.7× 762 1.0× 689 0.9× 90 5.2k
Blanka Řı́hová 1.7k 1.0× 1.6k 1.1× 2.8k 3.8× 613 0.8× 805 1.1× 140 5.0k
Ronit Satchi‐Fainaro 3.3k 2.0× 2.6k 1.8× 1.9k 2.6× 450 0.6× 441 0.6× 158 7.5k
Gang Huang 2.0k 1.2× 2.8k 1.9× 1.7k 2.3× 271 0.4× 230 0.3× 72 5.8k
Thommey P. Thomas 3.2k 2.0× 1.2k 0.9× 1.5k 2.0× 269 0.4× 2.5k 3.4× 66 5.5k
Xinghai Ning 1.5k 1.0× 1.4k 1.0× 498 0.7× 577 0.8× 157 0.2× 90 3.6k
Vladimír Šubr 2.7k 1.7× 2.6k 1.8× 3.3k 4.5× 583 0.8× 706 1.0× 129 7.4k
Adah Almutairi 1.1k 0.7× 2.2k 1.6× 1.7k 2.3× 273 0.4× 611 0.8× 84 5.3k
Zhiliang Cheng 1.5k 0.9× 1.8k 1.3× 1.3k 1.8× 264 0.4× 515 0.7× 82 4.6k

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-authorship network of co-authors of Kai Licha

This figure shows the co-authorship network connecting the top 25 collaborators of Kai Licha. A scholar is included among the top collaborators of Kai Licha 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 Kai Licha. Kai Licha 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
1.
Hradílek, Pavel, et al.. (2025). Analysis of serum natalizumab concentrations obtained during routine clinical care in patients with multiple sclerosis: A cross-sectional study. Multiple Sclerosis and Related Disorders. 94. 106298–106298.
2.
Haag, Rainer, et al.. (2023). Controlled Grafting Expansion Microscopy. Angewandte Chemie International Edition. 62(28). e202302318–e202302318. 8 indexed citations
3.
Schmidt, Péter, Alexander Vogel, Benedikt Schwarze, et al.. (2023). Towards Probing Conformational States of Y2 Receptor Using Hyperpolarized 129Xe NMR. Molecules. 28(3). 1424–1424. 2 indexed citations
4.
Achazi, Katharina, et al.. (2022). Hydroquinone-functionalized cyanine dye as reduction-sensitive probe for imaging of biological reducing species. Dyes and Pigments. 201. 110198–110198. 5 indexed citations
5.
Tully, Michael, et al.. (2021). Linear Polyglycerol for N-terminal-selective Modification of Interleukin-4. Journal of Pharmaceutical Sciences. 111(6). 1642–1651. 10 indexed citations
6.
Tully, Michael, Mathias Dimde, Christoph Weise, et al.. (2021). Polyglycerol for Half-Life Extension of Proteins—Alternative to PEGylation?. Biomacromolecules. 22(4). 1406–1416. 53 indexed citations
7.
Dirauf, Michael, Marc D. Drießen, Kai Licha, et al.. (2021). Molecular Insights into Site-Specific Interferon-α2a Bioconjugates Originated from PEG, LPG, and PEtOx. Biomacromolecules. 22(11). 4521–4534. 25 indexed citations
8.
Achazi, Katharina, Min Qiu, Chao Deng, et al.. (2019). Reductively cleavable polymer-drug conjugates based on dendritic polyglycerol sulfate and monomethyl auristatin E as anticancer drugs. Journal of Controlled Release. 300. 13–21. 27 indexed citations
9.
Brodwolf, Robert, et al.. (2019). Expanding the Scope of Reporting Nanoparticles: Sensing of Lipid Phase Transitions and Nanoviscosities in Lipid Membranes. Langmuir. 35(35). 11422–11434. 10 indexed citations
10.
Licha, Kai, et al.. (2018). Dendritic Polyglycerol Sulfate for Therapy and Diagnostics. Polymers. 10(6). 595–595. 22 indexed citations
11.
Donskyi, Ievgen S., et al.. (2017). Fullerene Polyglycerol Amphiphiles as Unimolecular Transporters. Langmuir. 33(26). 6595–6600. 11 indexed citations
12.
Schneider, Tobias F., Pia Welker, Falko Neumann, et al.. (2017). Dendritic polyglycerol anions for the selective targeting of native and inflamed articular cartilage. Journal of Materials Chemistry B. 5(24). 4754–4767. 11 indexed citations
13.
Boreham, Alexander, Pierre Volz, Robert Brodwolf, et al.. (2015). Detecting and Quantifying Biomolecular Interactions of a Dendritic Polyglycerol Sulfate Nanoparticle Using Fluorescence Lifetime Measurements. Molecules. 21(1). 22–22. 31 indexed citations
14.
15.
Taruttis, Adrian, Moritz Wildgruber, Nicolas Bézière, et al.. (2012). Multispectral optoacoustic tomography of myocardial infarction. Photoacoustics. 1(1). 3–8. 58 indexed citations
16.
Sisson, Adam L., Dirk Steinhilber, Torsten Rossow, et al.. (2009). Biocompatible Functionalized Polyglycerol Microgels with Cell Penetrating Properties. Angewandte Chemie International Edition. 48(41). 7540–7545. 83 indexed citations
17.
Quadir, Mohiuddin, Michał R. Radowski, Felix Kratz, et al.. (2008). Dendritic multishell architectures for drug and dye transport. Journal of Controlled Release. 132(3). 289–294. 57 indexed citations
18.
Hillig, R.C., Stefanie Urlinger, Yvonne Stark, et al.. (2007). Crystallization and molecular-replacement solution of a diagnostic fluorescent dye in complex with a specific Fab fragment. Acta Crystallographica Section F Structural Biology and Crystallization Communications. 63(3). 217–223. 2 indexed citations
19.
Licha, Kai & Carsten Olbrich. (2005). Optical imaging in drug discovery and diagnostic applications. Advanced Drug Delivery Reviews. 57(8). 1087–1108. 216 indexed citations
20.
Riefke, Björn, Kai Licha, & Wolfhard Semmler. (1997). Kontrastmittel fur die optische Mammographie. Der Radiologe. 37(9). 749–755. 8 indexed citations

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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