Kai‐Uwe Goss

10.1k total citations
168 papers, 8.2k citations indexed

About

Kai‐Uwe Goss is a scholar working on Spectroscopy, Health, Toxicology and Mutagenesis and Atmospheric Science. According to data from OpenAlex, Kai‐Uwe Goss has authored 168 papers receiving a total of 8.2k indexed citations (citations by other indexed papers that have themselves been cited), including 65 papers in Spectroscopy, 47 papers in Health, Toxicology and Mutagenesis and 39 papers in Atmospheric Science. Recurrent topics in Kai‐Uwe Goss's work include Analytical Chemistry and Chromatography (43 papers), Atmospheric chemistry and aerosols (35 papers) and Toxic Organic Pollutants Impact (31 papers). Kai‐Uwe Goss is often cited by papers focused on Analytical Chemistry and Chromatography (43 papers), Atmospheric chemistry and aerosols (35 papers) and Toxic Organic Pollutants Impact (31 papers). Kai‐Uwe Goss collaborates with scholars based in Germany, Switzerland and United States. Kai‐Uwe Goss's co-authors include René P. Schwarzenbach, Satoshi Endo, Hans Peter H. Arp, Christian Niederer, Steven T. J. Droge, Guido Bronner, Beate I. Escher, Kai Bittermann, Martina Schneider and Steven J. Eisenreich and has published in prestigious journals such as SHILAP Revista de lepidopterología, Environmental Science & Technology and PLoS ONE.

In The Last Decade

Kai‐Uwe Goss

166 papers receiving 8.0k 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‐Uwe Goss 3.7k 1.8k 1.6k 1.6k 1.6k 168 8.2k
Karl‐Werner Schramm 5.6k 1.5× 2.3k 1.2× 860 0.5× 509 0.3× 627 0.4× 343 8.3k
Hongxia Yu 5.9k 1.6× 2.9k 1.6× 2.0k 1.2× 311 0.2× 895 0.6× 281 10.0k
André J. Simpson 1.7k 0.5× 1.6k 0.9× 1.6k 1.0× 1.2k 0.8× 1.3k 0.8× 284 10.8k
Yawei Wang 7.0k 1.9× 2.4k 1.3× 2.9k 1.8× 419 0.3× 1.6k 1.0× 256 9.9k
P.E.G. Leonards 7.5k 2.0× 2.6k 1.4× 1.4k 0.9× 916 0.6× 606 0.4× 233 9.9k
Peter Haglund 5.6k 1.5× 3.0k 1.6× 851 0.5× 1.3k 0.8× 561 0.4× 189 8.4k
Michael G. Ikonomou 7.0k 1.9× 2.7k 1.5× 2.0k 1.2× 1.9k 1.2× 1.2k 0.8× 168 10.9k
Wan Ying Shiu 2.9k 0.8× 1.6k 0.9× 463 0.3× 795 0.5× 507 0.3× 46 5.5k
J. de Boer 12.9k 3.5× 4.6k 2.5× 2.8k 1.7× 2.1k 1.3× 1.6k 1.0× 350 18.8k
Frank A. P. C. Gobas 9.3k 2.5× 4.0k 2.2× 1.9k 1.2× 389 0.2× 946 0.6× 164 11.8k

Countries citing papers authored by Kai‐Uwe Goss

Since Specialization
Citations

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

Fields of papers citing papers by Kai‐Uwe Goss

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kai‐Uwe Goss

This figure shows the co-authorship network connecting the top 25 collaborators of Kai‐Uwe Goss. A scholar is included among the top collaborators of Kai‐Uwe Goss 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‐Uwe Goss. Kai‐Uwe Goss 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.
Goss, Kai‐Uwe, et al.. (2025). Predicting Caco-2/MDCK intrinsic membrane permeability from HDM-PAMPA-derived hexadecane/water partition coefficients. European Journal of Pharmaceutical Sciences. 214. 107280–107280. 1 indexed citations
2.
Goss, Kai‐Uwe, et al.. (2025). Blood-brain barrier permeability revisited: Predicting intrinsic passive BBB permeability using the Solubility-diffusion model. European Journal of Pharmaceutical Sciences. 215. 107354–107354. 1 indexed citations
3.
Goss, Kai‐Uwe, et al.. (2023). Mechanistic modeling of the bioconcentration of (super)hydrophobic compounds in Hyalella azteca. Environmental Science and Pollution Research. 30(17). 50257–50268.
4.
Goss, Kai‐Uwe, et al.. (2022). Impact of cholesterol and sphingomyelin on intrinsic membrane permeability. Biochimica et Biophysica Acta (BBA) - Biomembranes. 1864(9). 183953–183953. 7 indexed citations
5.
Ulrich, Nadin, et al.. (2021). Exploring the octanol–water partition coefficient dataset using deep learning techniques and data augmentation. Communications Chemistry. 4(1). 90–90. 51 indexed citations
6.
Henneberger, Luise & Kai‐Uwe Goss. (2019). Environmental Sorption Behavior of Ionic and Ionizable Organic Chemicals. Reviews of Environmental Contamination and Toxicology. 253. 43–64. 11 indexed citations
7.
Fischer, Fabian C., Olaf A. Cirpka, Kai‐Uwe Goss, Luise Henneberger, & Beate I. Escher. (2018). Application of Experimental Polystyrene Partition Constants and Diffusion Coefficients to Predict the Sorption of Neutral Organic Chemicals to Multiwell Plates in in Vivo and in Vitro Bioassays. Environmental Science & Technology. 52(22). 13511–13522. 55 indexed citations
8.
Hannesschlaeger, Christof, et al.. (2018). Passive Permeability of Planar Lipid Bilayers to Organic Anions. Biophysical Journal. 115(10). 1931–1941. 40 indexed citations
9.
10.
Wang, Chen, Tiange Yuan, Kai‐Uwe Goss, et al.. (2017). Uncertain Henry's law constants compromise equilibrium partitioning calculations of atmospheric oxidation products. Atmospheric chemistry and physics. 17(12). 7529–7540. 36 indexed citations
11.
Fischer, Fabian C., Luise Henneberger, Maria König, et al.. (2017). Modeling Exposure in the Tox21 in Vitro Bioassays. Chemical Research in Toxicology. 30(5). 1197–1208. 111 indexed citations
12.
Bittermann, Kai & Kai‐Uwe Goss. (2017). Assessing the toxicity of ionic liquids – Application of the critical membrane concentration approach. Chemosphere. 183. 410–418. 21 indexed citations
13.
Wania, Frank, Ying Duan Lei, Chen Wang, Jonathan P. D. Abbatt, & Kai‐Uwe Goss. (2015). Using the chemical equilibrium partitioning space to explore factors influencing the phase distribution of compounds involved in secondary organic aerosol formation. Atmospheric chemistry and physics. 15(6). 3395–3412. 33 indexed citations
14.
Wania, Frank, Ying Duan Lei, Chen Wang, Jonathan P. D. Abbatt, & Kai‐Uwe Goss. (2014). Novel methods for predicting gas–particle partitioning during the formation of secondary organic aerosol. Atmospheric chemistry and physics. 14(23). 13189–13204. 23 indexed citations
15.
Kjeldsen, Morten, et al.. (2014). Detecting Corrosion Under Insulation using Trained Dogs: a Novel Approach. Materials Evaluation. 72(2). 1 indexed citations
16.
Goss, Kai‐Uwe, et al.. (2014). Ion exchange membranes as novel passive sampling material for organic ions: Application for the determination of freely dissolved concentrations. Journal of Chromatography A. 1370. 17–24. 12 indexed citations
17.
Endo, Satoshi, et al.. (2011). Partitioning of polar and non-polar neutral organic chemicals into human and cow milk. Environment International. 37(7). 1253–1258. 18 indexed citations
18.
Mariussen, Espen, Marianne Haukås, Hans Peter H. Arp, et al.. (2010). Relevance of 1,2,5,6,9,10-hexabromocyclododecane diastereomer structure on partitioning properties, column-retention and clean-up procedures. Journal of Chromatography A. 1217(9). 1441–1446. 13 indexed citations
19.
20.
Goss, Kai‐Uwe & René P. Schwarzenbach. (2002). Adsorption of a Diverse Set of Organic Vapors on Quartz, CaCO3, and α-Al2O3 at Different Relative Humidities. Journal of Colloid and Interface Science. 252(1). 31–41. 52 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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