Günter Giese

2.3k citations
24 papers · 1.6k indexed · h-index 16
Topics
RNA Research and Splicing (5 papers)Skin and Cellular Biology Research (4 papers)Lipid Membrane Structure and Behavior (4 papers)

In The Last Decade

Günter Giese

24 papers receiving 1.6k citations

Peers

Günter Giese
Comparison fields: 5 of 110
  • Molecular Biology 781
  • Cell Biology 457
  • Biophysics 311
  • Cellular and Molecular Neuroscience 257
  • Genetics 211
Replace Yoshihiro Miwa with:
Yoshihiro Miwa Japan
Julia Fernández-Rodrı́guez Sweden
Renaud Legouis France
Joel Schwartz United States
Jorge E. Moreira United States
Hsiao-Ping H. Moore United States
Andrea M. Femino United States
Mie Kubota Japan
Pascal Kessler France
Mary N. Teruel United States
Günter Giese relative to Yoshihiro Miwa Japan Yoshihiro Miwa's profile →
Citations per field
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Yoshihiro Miwa · 1×
Citations per year

Countries citing papers authored by Günter Giese

Since Specialization
Citations

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

Fields of papers citing papers by Günter Giese

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Günter Giese

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 41
2 17
3 233
4 196
5 24
6 186
7 270
8 246
9 123
10 55
11 6
12 48
13 9
14 17
15 30
16 12
17
Expression of vimentin and nuclear lamins during the in vitro differentiation of human promyelocytic leukemia cells HL-60.
36
18 4
19 1
20 2

About Günter Giese

Günter Giese is a scholar working on Biophysics, Cell Biology and Toxicology, having authored 24 papers that have together received 1.6k indexed citations. Recurring topics across this work include RNA Research and Splicing (5 papers), Skin and Cellular Biology Research (4 papers) and Lipid Membrane Structure and Behavior (4 papers). The work is most often cited by research in Biophysics (311 citations), Cell Biology (457 citations) and Structural Biology (21 citations). Günter Giese has collaborated with scholars based in Germany, United States and France. Frequent co-authors include F. Thomas Wunderlich, Josef F. Bille, Meng Han, Wolfhard Almers, I. Wunderlich, Michèle Lieberherr, W. Peter M. Benten, Christoph Ballestrem, Beat A. Imhof and Christien J. Merrifield. Their work appears in journals such as Journal of Biological Chemistry, Nature Cell Biology and Molecular and Cellular Biology.

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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