Michaela Niessen

685 citations
6 papers · 570 · h-index 5

Impact in

  • Cell Biology top 10%
    • Skin and Cellular Biology Research
    • Ubiquitin and proteasome pathways
    • DNA Repair Mechanisms
    • Photosynthetic Processes and Mechanisms

Papers in

    • Wnt/β-catenin signaling in development and cancer 3
    • Photosynthetic Processes and Mechanisms 1
    • Ubiquitin and proteasome pathways 1
    • Glycosylation and Glycoproteins Research 1
    • Hair Growth and Disorders 3

Michaela Niessen

6 papers receiving 563 citations

Peers

Michaela Niessen
Comparison fields: 5 of 68
  • Cell Biology 107
  • Molecular Biology 439
  • Immunology and Allergy 36
  • Oncology 132
  • Urology 25
Replace Alexander Schepsky with:
Alexander Schepsky Iceland
Melanie Kappelmann‐Fenzl Germany
Akiko Obinata Japan
Annalisa Saltari Italy
Anne‐Sophie Macé France
Geetika Chakravarty United States
Linh Le United States
Lee Finlan United Kingdom
Yasuyuki Shitomi Japan
Nancy Bogdan United States
Michaela Niessen relative to Alexander Schepsky Iceland Alexander Schepsky's profile →
Citations per field
00.5×1.5×2.3×
Alexander Schepsky · 1×
Citations per year

Countries citing papers authored by Michaela Niessen

Since Specialization
Citations

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

Fields of papers citing papers by Michaela Niessen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Michaela Niessen, 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 Michaela Niessen Line = papers co-authored together Michaela Niessen links everyone, so they are left out of the graph.

All Works

6 of 6 papers shown
#Work
1 2007258
2 2011127
3 2007100
4 201359
5 201225
6 20101

About Michaela Niessen

Michaela Niessen is a scholar working on Molecular Biology, Urology, Cell Biology, Oncology and Genetics, having authored 6 papers that have together received 570 indexed citations. Recurring topics across this work include Hair Growth and Disorders (3 papers), Wnt/β-catenin signaling in development and cancer (3 papers), Skin and Cellular Biology Research (3 papers), Hippo pathway signaling and YAP/TAZ (1 paper), Photosynthetic Processes and Mechanisms (1 paper), Ubiquitin and proteasome pathways (1 paper), Glycosylation and Glycoproteins Research (1 paper) and Cancer Cells and Metastasis (1 paper). The work is most often cited by research in Cell Biology (107 citations), Molecular Biology (439 citations), Immunology and Allergy (36 citations), Oncology (132 citations) and Urology (25 citations). Michaela Niessen has collaborated with scholars based in Germany, Belgium and United States. Frequent co-authors include Carien M. Niessen, Hartmut Scheel, Gerrit J. K. Praefcke, Maria A. Miteva, Kristina Uzunova, R. Jürgen Dohmen, Erica S. Johnson, Kay Hofmann, Paul Säftig and Ralf Schwanbeck. Their work appears in journals such as Development, Journal of Cell Science, Journal of Biological Chemistry, The Journal of Cell Biology and PLANT PHYSIOLOGY.

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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