Eric Wieschaus
Impact in
- Aging top 0.1%
- Cell Biology top 0.02%
- Cellular Mechanics and Interactions
- Hippo pathway signaling and YAP/TAZ
- Microtubule and mitosis dynamics
Papers in
- Aging 7
- Cell Biology 60
- Cellular Mechanics and Interactions 39
- Microtubule and mitosis dynamics 21
- Co-authors
- Christiane Nüsslein‐VolhardH. KludingTrudi SchüpbachMark PeiferMatthias KaschubeAdam C. MartinThomas GregorKenneth D. Irvine
- Journals
- Development (28 papers)Cell (17 papers)Developmental Biology (15 papers)Developmental Cell (14 papers)Development Genes and Evolution (10 papers)
- Partner nations
- United StatesGermanySwitzerland
In The Last Decade
Eric Wieschaus
176 papers receiving 24.7k citations
Hit Papers
Peers
Comparison fields: 5 of 175
- Aging 939
- Cell Biology 8.6k
- Molecular Biology 19.7k
- Cellular and Molecular Neuroscience 3.3k
- Genetics 4.2k
Countries citing papers authored by Eric Wieschaus
This map shows the geographic impact of Eric Wieschaus'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 Eric Wieschaus with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eric Wieschaus more than expected).
Fields of papers citing papers by Eric Wieschaus
This network shows the impact of papers produced by Eric Wieschaus. 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 Eric Wieschaus. The network helps show where Eric Wieschaus may publish in the future.
Co-authors
The 25 scholars most cited alongside Eric Wieschaus, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 3 | |
| 3 | 2024 | 8 | |
| 4 | 2024 | 2 | |
| 5 | 2023 | 2 | |
| 6 | 2022 | 7 | |
| 7 | 2020 | 15 | |
| 8 | 2017 | 29 | |
| 9 | 2016 | 74 | |
| 10 | 2015 | 121 | |
| 11 | 2015 | 46 | |
| 12 | 2011 | 49 | |
| 13 | 2010 | 395 | |
| 14 | 2005 | 244 | |
| 15 | 2005 | 321 | |
| 16 | 2005 | 74 | |
| 17 | 2000 | 188 | |
| 18 | 2000 | 281 | |
| 19 | 1994 | 14 | |
| 20 | 1994 | 42 |
About Eric Wieschaus
Eric Wieschaus is a scholar working on Aging, Cell Biology, Molecular Biology, Genetics and Cellular and Molecular Neuroscience, having authored 178 papers that have together received 25.1k indexed citations. Recurring topics across this work include Developmental Biology and Gene Regulation (97 papers), Cellular Mechanics and Interactions (39 papers), Genomics and Chromatin Dynamics (37 papers), Neurobiology and Insect Physiology Research (23 papers), RNA Research and Splicing (23 papers), Wnt/β-catenin signaling in development and cancer (22 papers), Microtubule and mitosis dynamics (21 papers) and Animal Genetics and Reproduction (18 papers). The work is most often cited by research in Aging (939 citations), Cell Biology (8.6k citations), Molecular Biology (19.7k citations), Cellular and Molecular Neuroscience (3.3k citations) and Genetics (4.2k citations). Eric Wieschaus has collaborated with scholars based in United States, Germany and Switzerland. Frequent co-authors include Christiane Nüsslein‐Volhard, H. Kluding, Trudi Schüpbach, Mark Peifer, Matthias Kaschube, Adam C. Martin, Thomas Gregor, Kenneth D. Irvine, William Bialek and David W. Tank. Their work appears in journals such as Development, Cell, Developmental Biology, Developmental Cell and Development Genes and Evolution.
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.