Karin Effertz

1.3k citations
8 papers · 1.1k · h-index 8

Impact in

Papers in

    • Glycosylation and Glycoproteins Research 3
    • Receptor Mechanisms and Signaling 2
    • Peroxisome Proliferator-Activated Receptors 1
    • Viral Infectious Diseases and Gene Expression in Insects 1
    • Endoplasmic Reticulum Stress and Disease 2

Karin Effertz

8 papers receiving 1.0k citations

Peers

Karin Effertz
Comparison fields: 5 of 72
  • Endocrinology, Diabetes and Metabolism 190
  • Cardiology and Cardiovascular Medicine 232
  • Molecular Biology 742
  • Genetics 209
  • Immunology 99
Replace Michel Lacasa with:
Michel Lacasa France
L Harel France
Joerg E. Braun Germany
Caroline Pendaries France
Joan Blanchette‐Mackie United States
Tomoko Nomura Japan
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Martine Le Cunff France
Brian R. Mullin United States
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Citations per field
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Citations per year

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-authors

The 25 scholars most cited alongside Karin Effertz, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Karin Effertz Line = papers co-authored together Karin Effertz links everyone, so they are left out of the graph.

All Works

8 of 8 papers shown
#Work
1 2006254
2 1997193
3 2008162
4 2003126
5 2005124
6 1999100
7 200069
8 200025

About Karin Effertz

Karin Effertz is a scholar working on Molecular Biology, Cell Biology, Materials Chemistry, Organic Chemistry and Oncology, having authored 8 papers that have together received 1.1k indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (3 papers), Enzyme Structure and Function (2 papers), Endoplasmic Reticulum Stress and Disease (2 papers), Receptor Mechanisms and Signaling (2 papers), Peroxisome Proliferator-Activated Receptors (1 paper), Estrogen and related hormone effects (1 paper), Viral Infectious Diseases and Gene Expression in Insects (1 paper) and Galectins and Cancer Biology (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (190 citations), Cardiology and Cardiovascular Medicine (232 citations), Molecular Biology (742 citations), Genetics (209 citations) and Immunology (99 citations). Karin Effertz has collaborated with scholars based in Germany and United States. Frequent co-authors include Werner Reutter, Stephan Hinderlich, Patricia Ruíz, Lothar Lucka, Robin M. Hobbs, Christoph Weise, Mario Menk, Thomas Unger, Pier Paolo Pandolfi and Heiko Funke‐Kaiser. Their work appears in journals such as Journal of Biological Chemistry, European Journal of Biochemistry, Circulation Research, Molecular Therapy and FEBS Letters.

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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