Karin Schwarz

10.5k total citations
166 papers, 6.9k citations indexed

About

Karin Schwarz is a scholar working on Food Science, Molecular Biology and Biochemistry. According to data from OpenAlex, Karin Schwarz has authored 166 papers receiving a total of 6.9k indexed citations (citations by other indexed papers that have themselves been cited), including 71 papers in Food Science, 54 papers in Molecular Biology and 53 papers in Biochemistry. Recurrent topics in Karin Schwarz's work include Phytochemicals and Antioxidant Activities (42 papers), Proteins in Food Systems (34 papers) and Edible Oils Quality and Analysis (22 papers). Karin Schwarz is often cited by papers focused on Phytochemicals and Antioxidant Activities (42 papers), Proteins in Food Systems (34 papers) and Edible Oils Quality and Analysis (22 papers). Karin Schwarz collaborates with scholars based in Germany, Netherlands and United States. Karin Schwarz's co-authors include Stephan Drusch, Heiko Stöckmann, Waldemar Ternes, Julia K. Keppler, Yvonne Serfert, Eva Maria Hubbermann, J. Bruce German, E. N. Frankel, Anu Hopia and Shu‐Wen Huang and has published in prestigious journals such as Nature Communications, PLoS ONE and Applied and Environmental Microbiology.

In The Last Decade

Karin Schwarz

163 papers receiving 6.6k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Karin Schwarz Germany 50 3.2k 2.2k 1.7k 1.4k 1.3k 166 6.9k
Michael H. Gordon United Kingdom 52 2.7k 0.8× 3.2k 1.4× 1.3k 0.8× 1.9k 1.3× 1.7k 1.3× 143 7.7k
Lothar W. Kroh Germany 51 2.3k 0.7× 2.2k 1.0× 1.8k 1.0× 697 0.5× 2.2k 1.7× 171 7.3k
‪Mohamed Bouaziz Tunisia 50 2.7k 0.8× 2.1k 1.0× 1.1k 0.6× 2.6k 1.8× 2.0k 1.6× 214 7.2k
Karen M. Schaich United States 28 2.3k 0.7× 3.6k 1.6× 1.6k 1.0× 1.7k 1.2× 1.9k 1.5× 56 8.3k
Ronald B. Pegg United States 42 2.3k 0.7× 2.5k 1.1× 1.4k 0.8× 719 0.5× 1.9k 1.5× 160 6.7k
Yukio Kakuda Canada 46 3.2k 1.0× 2.1k 0.9× 1.7k 1.0× 721 0.5× 1.7k 1.3× 134 7.5k
Faridah Abas Malaysia 47 1.9k 0.6× 1.5k 0.7× 2.4k 1.4× 950 0.7× 2.2k 1.7× 359 8.2k
Carmen Socaciu Romania 44 2.1k 0.6× 2.2k 1.0× 1.8k 1.0× 630 0.4× 1.5k 1.2× 304 6.9k
Adriana Zerlotti Mercadante Brazil 53 2.6k 0.8× 4.0k 1.8× 1.8k 1.1× 663 0.5× 2.2k 1.7× 172 8.3k
Ryan J. Elias United States 36 1.9k 0.6× 1.2k 0.5× 1.7k 1.0× 709 0.5× 829 0.6× 108 5.5k

Countries citing papers authored by Karin Schwarz

Since Specialization
Citations

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

Fields of papers citing papers by Karin Schwarz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Karin Schwarz

This figure shows the co-authorship network connecting the top 25 collaborators of Karin Schwarz. A scholar is included among the top collaborators of Karin Schwarz 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 Karin Schwarz. Karin Schwarz 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.
Moghadam, M R Fatahi, Timon R. Heyn, Karin Schwarz, & Julia K. Keppler. (2024). Influence of purification on the composition, structural and physicochemical properties of myofibrillar proteins from blue mussel (Mytilus edulis). Food Bioscience. 62. 105206–105206. 4 indexed citations
2.
Kieserling, Helena, Wouter J.C. de Bruijn, Julia K. Keppler, et al.. (2024). Protein–phenolic interactions and reactions: Discrepancies, challenges, and opportunities. Comprehensive Reviews in Food Science and Food Safety. 23(5). e70015–e70015. 19 indexed citations
3.
Heyn, Timon R., et al.. (2024). Oil binding capacity and related physicochemical properties of commercial plant protein products. Food Bioscience. 59. 103823–103823. 4 indexed citations
4.
Heyn, Timon R., et al.. (2023). Glass beads increase the formation kinetics of beta-lactoglobulin amyloid fibrils. Food Hydrocolloids. 139. 108511–108511. 3 indexed citations
5.
6.
Keppler, Julia K., et al.. (2022). Lipid oxidation induced protein scission in an oleogel as a model food. Food Chemistry. 415. 135357–135357. 4 indexed citations
7.
Zacharias, Helena U., Christoph Kaleta, François Cossais, et al.. (2022). Microbiome and Metabolome Insights into the Role of the Gastrointestinal–Brain Axis in Parkinson’s and Alzheimer’s Disease: Unveiling Potential Therapeutic Targets. Metabolites. 12(12). 1222–1222. 14 indexed citations
8.
Heyn, Timon R., Atze Jan van der Goot, Remko M. Boom, et al.. (2021). Engineering amyloid and amyloid-like morphologies of β-lactoglobulin. Food Hydrocolloids. 124. 107301–107301. 46 indexed citations
9.
Krebs, Melanie, et al.. (2020). Restricted suitability of BODIPY for caging in biological applications based on singlet oxygen generation. Photochemical & Photobiological Sciences. 19(10). 1319–1325. 8 indexed citations
10.
Seybold, Heike, Tobias Demetrowitsch, M. Amine Hassani, et al.. (2020). A fungal pathogen induces systemic susceptibility and systemic shifts in wheat metabolome and microbiome composition. Nature Communications. 11(1). 1910–1910. 110 indexed citations
11.
Steffen‐Heins, Anja, et al.. (2020). Analysis of radical formation by EPR in complex starch-protein-lipid model systems and corn extrudates. Food Chemistry. 331. 127314–127314. 13 indexed citations
12.
Demetrowitsch, Tobias, Kristina Schlicht, Johannes Zimmermann, et al.. (2020). Precision Nutrition in Chronic Inflammation. Frontiers in Immunology. 11. 587895–587895. 15 indexed citations
13.
Rogoll, Dorothee, et al.. (2017). Encapsulation of anthocyanins from bilberries – Effects on bioavailability and intestinal accessibility in humans. Food Chemistry. 248. 217–224. 67 indexed citations
14.
Egert, Sarah, Anja Bosy‐Westphal, Manfred J. Müller, et al.. (2016). Bioavailability of quercetin in humans and the influence of food matrix comparing quercetin capsules and different apple sources. Food Research International. 88(Pt A). 159–165. 54 indexed citations
15.
16.
Keppler, Julia K., et al.. (2015). β-Lactoglobulin as nanotransporter – Part II: Characterization of the covalent protein modification by allicin and diallyl disulfide. Food Chemistry. 197(Pt A). 1022–1029. 24 indexed citations
17.
Harbaum‐Piayda, Britta, et al.. (2015). Influence of postharvest UV-B treatment and fermentation on secondary plant compounds in white cabbage leaves. Food Chemistry. 197(Pt A). 47–56. 30 indexed citations
18.
Keppler, Julia K., et al.. (2013). Characterization of the covalent binding of allyl isothiocyanate toβ-lactoglobulin by fluorescence quenching, equilibrium measurement, and mass spectrometry. Journal of Biomolecular Structure and Dynamics. 32(7). 1103–1117. 50 indexed citations
19.
20.
Schwarz, Karin & Waldemar Ternes. (1992). Antioxidative constituents ofRosmarinus officinalis andSalvia officinalis. European Food Research and Technology. 195(2). 95–98. 105 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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