Renate Ackermann

970 citations
18 papers · 780 · h-index 15

Impact in

Papers in

    • Glycosylation and Glycoproteins Research 2
    • Heat shock proteins research 2
    • Connexins and lens biology 2
    • Protein purification and stability 2
    • Cell Adhesion Molecules Research 4

Renate Ackermann

18 papers receiving 757 citations

Peers

Renate Ackermann
Comparison fields: 5 of 101
  • Immunology and Allergy 111
  • Hepatology 93
  • Aging 20
  • Cell Biology 125
  • Molecular Biology 356
Replace Kenichiro Ito with:
Kenichiro Ito Japan
Sudhasri Mohanty United States
Charles Schick United States
Isao Yamane Japan
Gunbjørg Svineng Norway
Andy J.G. Pötgens Germany
Steven A. Maxwell United States
Riki Perlman Israel
Ding Ma China
Angela Holder United Kingdom
Renate Ackermann relative to Kenichiro Ito Japan Kenichiro Ito's profile →
Citations per field
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Citations per year

Countries citing papers authored by Renate Ackermann

Since Specialization
Citations

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

Fields of papers citing papers by Renate Ackermann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 1998123
2 199097
3 199665
4 200861
5
Inverse relationship of epidermal growth factor receptor and HER2/neu gene expression in human renal cell carcinoma.
199061
6 200650
7 200047
8 200238
9 199437
10 200235
11 200935
12 200934
13 198327
14 198024
15 200819
16 200612
17 19768
18 19967

About Renate Ackermann

Renate Ackermann is a scholar working on Molecular Biology, Immunology and Allergy, Oncology, Epidemiology and Cell Biology, having authored 18 papers that have together received 780 indexed citations. Recurring topics across this work include Cell Adhesion Molecules Research (4 papers), Glycosylation and Glycoproteins Research (2 papers), Proteoglycans and glycosaminoglycans research (2 papers), Heat shock proteins research (2 papers), Connexins and lens biology (2 papers), Protein purification and stability (2 papers), Algal biology and biofuel production (2 papers) and Advanced Proteomics Techniques and Applications (2 papers). The work is most often cited by research in Immunology and Allergy (111 citations), Hepatology (93 citations), Aging (20 citations), Cell Biology (125 citations) and Molecular Biology (356 citations). Renate Ackermann has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Monika Schmid, Rajan Somasundaram, Martin Ruehl, Peter R. Jungblut, Ursula Zimny‐Arndt, Detlef Schuppan, Jürgen C. Becker, Detlef Schuppan, Ernst–Otto Riecken and C. Brack. Their work appears in journals such as Journal of Biological Chemistry, PROTEOMICS, PLANT PHYSIOLOGY, Biochimica et Biophysica Acta (BBA) - Biomembranes and Amino Acids.

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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