Georg Dietzl

5.1k citations
6 papers · 3.4k indexed · 1 hit paper · h-index 6
Topics
Hippo pathway signaling and YAP/TAZ (3 papers)Developmental Biology and Gene Regulation (3 papers)RNA Research and Splicing (2 papers)
Journals
NatureCell

In The Last Decade

Georg Dietzl

6 papers receiving 3.4k citations

Hit Papers

A genome-wide transgenic RNAi library for conditional gen...2007202620132019200750010001.5k2.0k

Peers

Georg Dietzl
Comparison fields: 5 of 98
  • Molecular Biology 2.2k
  • Cellular and Molecular Neuroscience 1.6k
  • Cell Biology 979
  • Immunology 498
  • Genetics 440
Replace Frank Schnorrer with:
Frank Schnorrer Germany
Karen L. Schulze United States
Koen J. T. Venken United States
Yuchun He United States
Oren Schuldiner Israel
Todd Laverty United States
Marco Milán Spain
Krystyna Keleman Austria
Roger A. Hoskins United States
Africa Couto United Kingdom
Georg Dietzl relative to Frank Schnorrer Germany Frank Schnorrer's profile →
Citations per field
00.5×1.5×
Frank Schnorrer · 1×
Citations per year

Countries citing papers authored by Georg Dietzl

Since Specialization
Citations

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

Fields of papers citing papers by Georg Dietzl

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Georg Dietzl

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

All Works

6 of 6 papers shown
#WorkIndexed citations
1 219
2 247
3
A genome-wide transgenic RNAi library for conditional gene inactivation in Drosophilabreakdown →
2075
4 297
5 283
6 264

About Georg Dietzl

Georg Dietzl is a scholar working on Cell Biology, Cellular and Molecular Neuroscience and Molecular Biology, having authored 6 papers that have together received 3.4k indexed citations. Recurring topics across this work include Hippo pathway signaling and YAP/TAZ (3 papers), Developmental Biology and Gene Regulation (3 papers) and RNA Research and Splicing (2 papers). The work is most often cited by research in Aging (286 citations), Cellular and Molecular Neuroscience (1.6k citations) and Cell Biology (979 citations). Georg Dietzl has collaborated with scholars based in Austria, United States and France. Frequent co-authors include Barry J. Dickson, Krystyna Keleman, Doris Chen, Michaela Fellner, Frank Schnorrer, Kuan-Chung Su, Africa Couto, J. Ng, Julia Tzu and Yan Sun. Their work appears in journals such as Nature and Cell.

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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