Frank Wippich

1.2k total citations · 1 hit paper
9 papers, 910 citations indexed

About

Frank Wippich is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Oncology. According to data from OpenAlex, Frank Wippich has authored 9 papers receiving a total of 910 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 1 paper in Cardiology and Cardiovascular Medicine and 1 paper in Oncology. Recurrent topics in Frank Wippich's work include RNA Research and Splicing (4 papers), RNA modifications and cancer (3 papers) and CRISPR and Genetic Engineering (3 papers). Frank Wippich is often cited by papers focused on RNA Research and Splicing (4 papers), RNA modifications and cancer (3 papers) and CRISPR and Genetic Engineering (3 papers). Frank Wippich collaborates with scholars based in Germany, Switzerland and United States. Frank Wippich's co-authors include Stefanie Wanka, Bernd Bodenmiller, Maria Trajkovska, Ruedi Aebersold, Lucas Pelkmans, Anne Ephrussi, Imre Gáspár, Timothée Lionnet, James M. Halstead and Jeffrey A. Chao and has published in prestigious journals such as Science, Cell and Cancer Research.

In The Last Decade

Frank Wippich

8 papers receiving 901 citations

Hit Papers

Dual Specificity Kinase DYRK3 Couples Stress Granule Cond... 2013 2026 2017 2021 2013 100 200 300 400

Peers

Frank Wippich
Comparison fields: 5 of 81
  • Molecular Biology 805
  • Cell Biology 152
  • Biochemistry 45
  • Immunology 45
  • Neurology 43
Replace Robert G. Abrisch with:
Robert G. Abrisch United States
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Michael D. Hebert United States
Cécile Sauvanet France
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Nikolaj Zuleger United Kingdom
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Thomas Küntziger Norway
Stefanie Böhm Sweden
Robert G. Abrisch United States View profile →
Citations per field, relative to Frank Wippich
Frank Wippich · 1×
Citations per year, relative to Frank Wippich
Frank Wippich · 1×

Countries citing papers authored by Frank Wippich

Since Specialization
Citations

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

Fields of papers citing papers by Frank Wippich

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Frank Wippich

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

All Works

9 of 9 papers shown
# Work Indexed citations
1 2
2 0
3 2
4 15
5 100
6 23
7 221
8
Dual Specificity Kinase DYRK3 Couples Stress Granule Condensation/Dissolution to mTORC1 Signaling breakdown →
469
9 78

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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