Konrad Basler
- Aging top 0.2%
- Cell Biology top 0.05%
- Hippo pathway signaling and YAP/TAZ 31
- Molecular Biology top 0.1%
- Developmental Biology and Gene Regulation 75
- Wnt/β-catenin signaling in development and cancer 57
- Cancer-related gene regulation 41
- Hedgehog Signaling Pathway Studies 21
- Genomics and Chromatin Dynamics 15
- Cellular and Molecular Neuroscience top 0.2%
- Neurobiology and Insect Physiology Research 26
- Developmental Biology top 1%
-
- Cancer Cells and Metastasis 13
- Co-authors
- Gary StruhlGeorge HausmannTomáš ValentaDenise NellenErnst HafenEduardo MorenoRichard BurkeMarkus Affolter
- Cited by
- AgingCell BiologyMolecular Biology
- Partner nations
- SwitzerlandUnited StatesGermany
In The Last Decade
Konrad Basler
197 papers receiving 23.0k citations
Hit Papers
Peers
Comparison fields: 5 of 156
- Aging 717
- Cell Biology 5.6k
- Molecular Biology 19.1k
- Cellular and Molecular Neuroscience 3.6k
- Developmental Biology 257
Countries citing papers authored by Konrad Basler
This map shows the geographic impact of Konrad Basler'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 Konrad Basler with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Konrad Basler more than expected).
Fields of papers citing papers by Konrad Basler
This network shows the impact of papers produced by Konrad Basler. 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 Konrad Basler. The network helps show where Konrad Basler may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Konrad Basler, 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 | 1 | |
| 2 | 2021 | 21 | |
| 3 | 2021 | 28 | |
| 4 | 2020 | 33 | |
| 5 | 2020 | 12 | |
| 6 | 2020 | 58 | |
| 7 | 2019 | 22 | |
| 8 | 2018 | 30 | |
| 9 | 2018 | 33 | |
| 10 | 2014 | 166 | |
| 11 | 2010 | 102 | |
| 12 | 2008 | 88 | |
| 13 | An optimized transgenesis system for Drosophila using germ-line-specific φC31 integrasesbreakdown → | 2007 | 1476 |
| 14 | 2006 | 161 | |
| 15 | 2004 | 47 | |
| 16 | 2002 | 38 | |
| 17 | 2001 | 354 | |
| 18 | 2001 | 38 | |
| 19 | 2000 | 129 | |
| 20 | 2000 | 170 |
About Konrad Basler
Konrad Basler is a scholar working on Aging, Cell Biology, Molecular Biology, Developmental Biology and Cellular and Molecular Neuroscience, having authored 199 papers that have together received 23.2k indexed citations. Recurring topics across this work include Developmental Biology and Gene Regulation (75 papers), Wnt/β-catenin signaling in development and cancer (57 papers), Cancer-related gene regulation (41 papers), Hippo pathway signaling and YAP/TAZ (31 papers), Neurobiology and Insect Physiology Research (26 papers), Hedgehog Signaling Pathway Studies (21 papers), Genomics and Chromatin Dynamics (15 papers) and Cancer Cells and Metastasis (13 papers). The work is most often cited by research in Aging (717 citations), Cell Biology (5.6k citations), Molecular Biology (19.1k citations), Cellular and Molecular Neuroscience (3.6k citations) and Developmental Biology (257 citations). Konrad Basler has collaborated with scholars based in Switzerland, United States and Germany. Frequent co-authors include Gary Struhl, George Hausmann, Tomáš Valenta, Denise Nellen, Ernst Hafen, Eduardo Moreno, Richard Burke, Markus Affolter, Johannes Bischof and Myriam Zecca. Their work appears in journals such as Cell, Development, Mechanisms of Development, Current Biology and Nature Communications.
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.