Katja Siegers

4.5k total citations · 2 hit papers
14 papers, 3.4k citations indexed

About

Katja Siegers is a scholar working on Molecular Biology, Nutrition and Dietetics and Food Science. According to data from OpenAlex, Katja Siegers has authored 14 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 3 papers in Nutrition and Dietetics and 3 papers in Food Science. Recurrent topics in Katja Siegers's work include Heat shock proteins research (4 papers), Glycosylation and Glycoproteins Research (3 papers) and Microbial Metabolites in Food Biotechnology (3 papers). Katja Siegers is often cited by papers focused on Heat shock proteins research (4 papers), Glycosylation and Glycoproteins Research (3 papers) and Microbial Metabolites in Food Biotechnology (3 papers). Katja Siegers collaborates with scholars based in Germany, United Kingdom and Austria. Katja Siegers's co-authors include F. Ulrich Hartl, Jason C. Young, Vishwas R. Agashe, Karl‐Dieter Entian, Kim Nasmyth, Gislene Pereira, Wolfgang Zachariae, Michael Knop, Barbara Winsor and Raina Boteva and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and Nature Reviews Molecular Cell Biology.

In The Last Decade

Katja Siegers

14 papers receiving 3.3k citations

Hit Papers

Pathways of chaperone-mediated protein folding in the cyt... 1999 2026 2008 2017 2004 1999 250 500 750
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Pathways of chaperone-mediated protein folding in the cytosol
    2004 896 citations Jason C. Young, Vishwas R. Agashe et al. Nature Reviews Molecular Cell Biology profile →
  2. Epitope tagging of yeast genes using a PCR-based strategy: more tags and improved practical routines
    1999 888 citations Michael Knop, Katja Siegers et al. Yeast profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Katja Siegers Germany 13 2.9k 714 427 403 246 14 3.4k
Frederic A. Troy United States 40 3.4k 1.2× 654 0.9× 161 0.4× 297 0.7× 209 0.8× 94 4.6k
Jürgen J. Heinisch Germany 39 3.2k 1.1× 1.0k 1.4× 366 0.9× 211 0.5× 151 0.6× 120 4.3k
Jun‐ichi Nikawa Japan 37 3.9k 1.3× 1.4k 2.0× 120 0.3× 138 0.3× 142 0.6× 74 4.9k
Daniel Dignard Canada 33 3.7k 1.3× 1.1k 1.6× 420 1.0× 127 0.3× 73 0.3× 46 5.1k
Yoshifumi Jigami Japan 43 4.3k 1.5× 1.2k 1.7× 190 0.4× 85 0.2× 215 0.9× 160 5.6k
David C. Amberg United States 24 3.7k 1.3× 1.4k 1.9× 156 0.4× 166 0.4× 65 0.3× 71 4.5k
Joan Lin Cereghino United States 13 3.0k 1.0× 1.0k 1.4× 102 0.2× 111 0.3× 66 0.3× 15 4.0k
Thomas H. Plummer United States 40 4.4k 1.5× 699 1.0× 111 0.3× 407 1.0× 161 0.7× 76 5.9k
Janet Kurjan United States 30 3.1k 1.1× 798 1.1× 249 0.6× 201 0.5× 34 0.1× 45 3.6k
Paola Fusi Italy 26 1.3k 0.5× 132 0.2× 135 0.3× 297 0.7× 247 1.0× 94 2.3k

Countries citing papers authored by Katja Siegers

Since Specialization
Citations

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

Fields of papers citing papers by Katja Siegers

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Katja Siegers

This figure shows the co-authorship network connecting the top 25 collaborators of Katja Siegers. A scholar is included among the top collaborators of Katja Siegers 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 Katja Siegers. Katja Siegers is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

14 of 14 papers shown
1.
Urban, Johannes, Tobias Aumüller, Marcus Thein, et al.. (2017). Phage display and selection of lanthipeptides on the carboxy-terminus of the gene-3 minor coat protein. Nature Communications. 8(1). 1500–1500. 96 indexed citations
2.
Tiller, Thomas, Ingrid Schuster, Katja Siegers, et al.. (2013). A fully synthetic human Fab antibody library based on fixed VH/VL framework pairings with favorable biophysical properties. mAbs. 5(3). 445–470. 153 indexed citations
3.
Roeben, Annette, Jürgen M. Plitzko, Roman Körner, et al.. (2006). Structural Basis for Subunit Assembly in UDP-glucose Pyrophosphorylase from Saccharomyces cerevisiae. Journal of Molecular Biology. 364(4). 551–560. 44 indexed citations
4.
Behrends, Christian, Raina Boteva, Ulrike M.K. Böttcher, et al.. (2006). Chaperonin TRiC Promotes the Assembly of polyQ Expansion Proteins into Nontoxic Oligomers. Molecular Cell. 23(6). 887–897. 227 indexed citations
5.
Young, Jason C., Vishwas R. Agashe, Katja Siegers, & F. Ulrich Hartl. (2004). Pathways of chaperone-mediated protein folding in the cytosol. Nature Reviews Molecular Cell Biology. 5(10). 781–791. 896 indexed citations breakdown →
6.
Schaffar, Gregor, Péter Breuer, Raina Boteva, et al.. (2004). Cellular Toxicity of Polyglutamine Expansion Proteins. Molecular Cell. 15(1). 95–105. 335 indexed citations
7.
Siegers, Katja, et al.. (2003). Purification of GimC from Saccharomyces cerevisiae. Humana Press eBooks. 140. 185–193. 1 indexed citations
8.
Sondermann, Holger, Albert K. Ho, Laura Listenberger, et al.. (2002). Prediction of Novel Bag-1 Homologs Based on Structure/Function Analysis Identifies Snl1p as an Hsp70 Co-chaperone in Saccharomyces cerevisiae. Journal of Biological Chemistry. 277(36). 33220–33227. 60 indexed citations
9.
Siegers, Katja. (1999). Compartmentation of protein folding invivo: sequestration of non-native polypeptide by the chaperonin-GimC system. The EMBO Journal. 18(1). 75–84. 166 indexed citations
10.
Knop, Michael, Katja Siegers, Gislene Pereira, et al.. (1999). Epitope tagging of yeast genes using a PCR-based strategy: more tags and improved practical routines. Yeast. 15(10B). 963–972. 888 indexed citations breakdown →
11.
Siegers, Katja, Stefan Heinzmann, & Karl‐Dieter Entian. (1996). Biosynthesis of Lantibiotic Nisin. Journal of Biological Chemistry. 271(21). 12294–12301. 116 indexed citations
12.
Siegers, Katja & Karl‐Dieter Entian. (1995). Genes involved in immunity to the lantibiotic nisin produced by Lactococcus lactis 6F3. Applied and Environmental Microbiology. 61(3). 1082–1089. 186 indexed citations
13.
Klein, C, et al.. (1994). Growth phase-dependent regulation and membrane localization of SpaB, a protein involved in biosynthesis of the lantibiotic subtilin. Applied and Environmental Microbiology. 60(1). 1–11. 71 indexed citations
14.
Siegers, Katja, et al.. (1994). Regulation of nisin biosynthesis and immunity in Lactococcus lactis 6F3. Applied and Environmental Microbiology. 60(3). 814–825. 173 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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