Karin Effertz

1.3k total citations
8 papers, 1.1k citations indexed

About

Karin Effertz is a scholar working on Molecular Biology, Cell Biology and Materials Chemistry. According to data from OpenAlex, Karin Effertz has authored 8 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 2 papers in Cell Biology and 2 papers in Materials Chemistry. Recurrent topics in Karin Effertz's work include Glycosylation and Glycoproteins Research (3 papers), Endoplasmic Reticulum Stress and Disease (2 papers) and Receptor Mechanisms and Signaling (2 papers). Karin Effertz is often cited by papers focused on Glycosylation and Glycoproteins Research (3 papers), Endoplasmic Reticulum Stress and Disease (2 papers) and Receptor Mechanisms and Signaling (2 papers). Karin Effertz collaborates with scholars based in Germany and United States. Karin Effertz's co-authors include Werner Reutter, Stephan Hinderlich, Patricia Ruíz, Lothar Lucka, Pier Paolo Pandolfi, Mario Menk, Jana Reinemund, Heiko Funke‐Kaiser, Thomas Unger and Robin M. Hobbs and has published in prestigious journals such as Journal of Biological Chemistry, Circulation Research and Biochemistry.

In The Last Decade

Karin Effertz

8 papers receiving 1.0k 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 Effertz Germany 8 787 237 219 214 114 8 1.1k
Michel Lacasa France 20 659 0.8× 49 0.2× 382 1.7× 160 0.7× 189 1.7× 37 1.4k
Joerg E. Braun Germany 21 1.6k 2.1× 192 0.8× 73 0.3× 152 0.7× 109 1.0× 27 2.1k
Tomoko Nomura Japan 17 535 0.7× 59 0.2× 72 0.3× 45 0.2× 39 0.3× 34 906
L Harel France 18 620 0.8× 66 0.3× 157 0.7× 313 1.5× 44 0.4× 69 949
Tod Gulick United States 15 873 1.1× 65 0.3× 158 0.7× 63 0.3× 85 0.7× 21 1.2k
Yong Cheng China 17 580 0.7× 100 0.4× 220 1.0× 27 0.1× 66 0.6× 51 915
Robert E. Corin United States 16 309 0.4× 66 0.3× 87 0.4× 158 0.7× 60 0.5× 27 691
Robert Haas United States 15 469 0.6× 106 0.4× 55 0.3× 25 0.1× 71 0.6× 19 865
Fumiko Saito Japan 14 593 0.8× 32 0.1× 107 0.5× 75 0.4× 64 0.6× 46 886
Yukiko Kondo Japan 17 406 0.5× 42 0.2× 139 0.6× 40 0.2× 43 0.4× 31 863

Countries citing papers authored by Karin Effertz

Since Specialization
Citations

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

Fields of papers citing papers by Karin Effertz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Karin Effertz

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

All Works

8 of 8 papers shown
1.
Isensee, Jörg, Luca Meoli, Valeria Zazzu, et al.. (2008). Expression Pattern of G Protein-Coupled Receptor 30 in LacZ Reporter Mice. Endocrinology. 150(4). 1722–1730. 163 indexed citations
2.
Schefe, Jan H., Mario Menk, Jana Reinemund, et al.. (2006). A Novel Signal Transduction Cascade Involving Direct Physical Interaction of the Renin/Prorenin Receptor With the Transcription Factor Promyelocytic Zinc Finger Protein. Circulation Research. 99(12). 1355–1366. 254 indexed citations
3.
Guhl, Eva, Karin Effertz, Carlos F. Barbas, et al.. (2005). Custom Zinc-Finger Nucleases for Use in Human Cells. Molecular Therapy. 12(4). 610–617. 125 indexed citations
4.
Segal, David J., Roger R. Beerli, Pilar Blancafort, et al.. (2003). Evaluation of a Modular Strategy for the Construction of Novel Polydactyl Zinc Finger DNA-Binding Proteins. Biochemistry. 42(7). 2137–2148. 126 indexed citations
5.
Hinderlich, Stephan, Markus Berger, Martina Schwarzkopf, Karin Effertz, & Werner Reutter. (2000). Molecular cloning and characterization of murine and human N‐acetylglucosamine kinase. European Journal of Biochemistry. 267(11). 3301–3308. 68 indexed citations
6.
Horstkorte, Rüdiger, et al.. (2000). Protein kinase C phosphorylates and regulates UDP‐N‐acetylglucosamine‐2‐epimerase/N‐acetylmannosamine kinase. FEBS Letters. 470(3). 315–318. 25 indexed citations
7.
Effertz, Karin, Stephan Hinderlich, & Werner Reutter. (1999). Selective Loss of either the Epimerase or Kinase Activity of UDP-N-acetylglucosamine 2-Epimerase/N-Acetylmannosamine Kinase due to Site-directed Mutagenesis Based on Sequence Alignments. Journal of Biological Chemistry. 274(40). 28771–28778. 99 indexed citations
8.
Hinderlich, Stephan, et al.. (1997). A Bifunctional Enzyme Catalyzes the First Two Steps inN-Acetylneuraminic Acid Biosynthesis of Rat Liver. Journal of Biological Chemistry. 272(39). 24319–24324. 191 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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