Renate Ackermann

970 citations
18 papers · 780 indexed · h-index 15
Topics
Cell Adhesion Molecules Research (4 papers)Glycosylation and Glycoproteins Research (2 papers)Advanced Proteomics Techniques and Applications (2 papers)

In The Last Decade

Renate Ackermann

18 papers receiving 757 citations

Peers

Renate Ackermann
Comparison fields: 5 of 101
  • Molecular Biology 356
  • Cell Biology 125
  • Epidemiology 117
  • Surgery 115
  • Immunology and Allergy 111
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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Kenichiro Ito · 1×
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-authorship network of co-authors of Renate Ackermann

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

All Works

18 of 18 papers shown
#WorkIndexed citations
1 34
2 35
3 19
4 61
5 12
6 50
7 35
8 38
9 47
10 123
11 7
12 65
13 37
14
Inverse relationship of epidermal growth factor receptor and HER2/neu gene expression in human renal cell carcinoma.
61
15 97
16 27
17 24
18 8

About Renate Ackermann

Renate Ackermann is a scholar working on Immunology and Allergy, Aging 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) 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) and Aging (20 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, Jürgen C. Becker, Detlef Schuppan, Ursula Zimny‐Arndt, Detlef Schuppan, Ernst–Otto Riecken and C. Brack. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.

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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