Kay Schallert

983 total citations
22 papers, 486 citations indexed

About

Kay Schallert is a scholar working on Molecular Biology, Ecology and Spectroscopy. According to data from OpenAlex, Kay Schallert has authored 22 papers receiving a total of 486 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 8 papers in Ecology and 8 papers in Spectroscopy. Recurrent topics in Kay Schallert's work include Microbial Community Ecology and Physiology (8 papers), Advanced Proteomics Techniques and Applications (8 papers) and Genomics and Phylogenetic Studies (8 papers). Kay Schallert is often cited by papers focused on Microbial Community Ecology and Physiology (8 papers), Advanced Proteomics Techniques and Applications (8 papers) and Genomics and Phylogenetic Studies (8 papers). Kay Schallert collaborates with scholars based in Germany, Spain and Austria. Kay Schallert's co-authors include Dirk Benndorf, Robert Heyer, Gunter Saake, Roman Zoun, Udo Reichl, Sebastian Püttker, Thilo Muth, Fabian Kohrs, Bernhard Y. Renard and Stephan Fuchs and has published in prestigious journals such as Water Research, Bioresource Technology and Nature Protocols.

In The Last Decade

Kay Schallert

20 papers receiving 478 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kay Schallert Germany 10 346 135 116 56 47 22 486
Sebastian Püttker Germany 9 189 0.5× 49 0.4× 68 0.6× 48 0.9× 44 0.9× 11 321
Roman Zoun Germany 4 197 0.6× 83 0.6× 73 0.6× 37 0.7× 30 0.6× 7 272
Martin Kucklick Germany 8 311 0.9× 30 0.2× 132 1.1× 28 0.5× 3 0.1× 13 394
Heather Olson United States 9 133 0.4× 10 0.1× 43 0.4× 68 1.2× 26 0.6× 18 334
Claudia Ehlers Germany 14 455 1.3× 8 0.1× 165 1.4× 42 0.8× 83 1.8× 17 561
Thomas McGowan United States 12 325 0.9× 223 1.7× 49 0.4× 22 0.4× 2 0.0× 24 474
Rachel Legmann Israel 10 268 0.8× 9 0.1× 59 0.5× 100 1.8× 16 0.3× 16 556
Anne‐Marie Lomenech France 14 345 1.0× 27 0.2× 31 0.3× 40 0.7× 3 0.1× 21 623
Konrad Foerstner Germany 9 467 1.3× 7 0.1× 224 1.9× 20 0.4× 6 0.1× 11 577
Marianne Lange Denmark 10 241 0.7× 5 0.0× 67 0.6× 45 0.8× 69 1.5× 13 425

Countries citing papers authored by Kay Schallert

Since Specialization
Citations

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

Fields of papers citing papers by Kay Schallert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kay Schallert

This figure shows the co-authorship network connecting the top 25 collaborators of Kay Schallert. A scholar is included among the top collaborators of Kay Schallert 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 Kay Schallert. Kay Schallert 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.
Wolf, Maximilian, Dirk Benndorf, Lina Welz, et al.. (2025). Fecal metaproteomics enables functional characterization of remission in patients with inflammatory bowel disease. Journal of Proteomics. 318. 105455–105455. 2 indexed citations
2.
Heyer, Robert, et al.. (2024). Metaproteomic Analysis of Biogas Plants: A Complete Workflow from Lab to Bioinformatics. Methods in molecular biology. 2820. 99–113.
3.
Heyer, Robert, Irena Maus, Andreas Schlüter, et al.. (2023). Breakdown of hardly degradable carbohydrates (lignocellulose) in a two-stage anaerobic digestion plant is favored in the main fermenter. Water Research. 250. 121020–121020. 9 indexed citations
4.
Schallert, Kay, et al.. (2023). The importance of graph databases and graph learning for clinical applications. Database. 2024. 4 indexed citations
5.
Wolf, Maximilian, Kay Schallert, Albert Sickmann, et al.. (2023). Advances in the clinical use of metaproteomics. Expert Review of Proteomics. 20(4-6). 71–86. 6 indexed citations
6.
Schallert, Kay, Pieter Verschaffelt, Bart Mesuere, et al.. (2022). Pout2Prot : An Efficient Tool to Create Protein (Sub)groups from Percolator Output Files. Journal of Proteome Research. 21(4). 1175–1180. 10 indexed citations
7.
Starke, Robert, José A. Siles, Kay Schallert, et al.. (2021). The structure and function of soil archaea across biomes. Journal of Proteomics. 237. 104147–104147. 13 indexed citations
8.
Bastida, Felipe, Nico Jehmlich, Robert Starke, et al.. (2021). Structure and function of bacterial metaproteomes across biomes. Soil Biology and Biochemistry. 160. 108331–108331. 7 indexed citations
9.
Biemann, Ronald, Dirk Benndorf, Kay Schallert, et al.. (2021). Fecal Metaproteomics Reveals Reduced Gut Inflammation and Changed Microbial Metabolism Following Lifestyle-Induced Weight Loss. Biomolecules. 11(5). 726–726. 18 indexed citations
10.
Schallert, Kay, et al.. (2021). MPA_Pathway_Tool: User-Friendly, Automatic Assignment of Microbial Community Data on Metabolic Pathways. International Journal of Molecular Sciences. 22(20). 10992–10992. 4 indexed citations
11.
Bossche, Tim Van Den, Pieter Verschaffelt, Kay Schallert, et al.. (2020). Connecting MetaProteomeAnalyzer and PeptideShaker to Unipept for Seamless End-to-End Metaproteomics Data Analysis. Journal of Proteome Research. 19(8). 3562–3566. 7 indexed citations
12.
Heyer, Robert, Johanna Klang, Kay Schallert, et al.. (2020). Impact of feeding and stirring regimes on the internal stratification of microbial communities in the fermenter of anaerobic digestion plants. Bioresource Technology. 314. 123679–123679. 9 indexed citations
13.
Schiebenhoefer, Henning, Kay Schallert, Bernhard Y. Renard, et al.. (2020). A complete and flexible workflow for metaproteomics data analysis based on MetaProteomeAnalyzer and Prophane. Nature Protocols. 15(10). 3212–3239. 53 indexed citations
14.
Schallert, Kay, Ramiro Vilchez‐Vargas, Dirk Benndorf, et al.. (2019). Metaproteomics of fecal samples of Crohn's disease and Ulcerative Colitis. Journal of Proteomics. 201. 93–103. 49 indexed citations
15.
Heyer, Robert, Kay Schallert, Roman Zoun, et al.. (2019). A Robust and Universal Metaproteomics Workflow for Research Studies and Routine Diagnostics Within 24 h Using Phenol Extraction, FASP Digest, and the MetaProteomeAnalyzer. Frontiers in Microbiology. 10. 1883–1883. 60 indexed citations
16.
Heyer, Robert, Kay Schallert, Fabian Kohrs, et al.. (2019). Metaproteome analysis reveals that syntrophy, competition, and phage-host interaction shape microbial communities in biogas plants. Microbiome. 7(1). 69–69. 61 indexed citations
17.
Zoun, Roman, Kay Schallert, David Broneske, et al.. (2019). 4.-8. März 2019. Gesellschaft für Informatik (GI). 507–510.
18.
Heyer, Robert, et al.. (2017). Challenges and perspectives of metaproteomic data analysis. Journal of Biotechnology. 261. 24–36. 143 indexed citations
19.
Kohrs, Fabian, Robert Heyer, Kay Schallert, et al.. (2017). Proteotyping of laboratory-scale biogas plants reveals multiple steady-states in community composition. Anaerobe. 46. 56–68. 10 indexed citations
20.
Zoun, Roman, Kay Schallert, David Broneske, et al.. (2017). Interactive Chord Visualization for Metaproteomics. 6. 79–83. 4 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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