Ursula Weber
Impact in
- Cell Biology top 1%
- Hippo pathway signaling and YAP/TAZ
- Cellular Mechanics and Interactions
- Microtubule and mitosis dynamics
- Aging top 2%
Papers in
-
- Wnt/β-catenin signaling in development and cancer 9
- Developmental Biology and Gene Regulation 9
- RNA Research and Splicing 3
- Cell Biology 14
- Hippo pathway signaling and YAP/TAZ 7
- Microtubule and mitosis dynamics 5
- Co-authors
- Marek Mlodzik (23 shared papers)David Strutt (2 shared papers)R Klemenz (2 shared papers)Walter J. Gehring (1 shared paper)Paul A. Mahoney (1 shared paper)Corey S. Goodman (1 shared paper)Peter J. Bryant (1 shared paper)Harald Biessmann (1 shared paper)
- Journals
- The EMBO Journal (5 papers)Developmental Cell (3 papers)PLoS Genetics (2 papers)Nature Communications (2 papers)Nature (2 papers)
- Partner nations
- United StatesGermanyUnited Kingdom
In The Last Decade
Ursula Weber
31 papers receiving 2.6k citations
Peers
Comparison fields: 5 of 101
- Cell Biology 993
- Aging 90
- Molecular Biology 2.2k
- Cellular and Molecular Neuroscience 509
- Immunology 264
Countries citing papers authored by Ursula Weber
This map shows the geographic impact of Ursula Weber'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 Ursula Weber with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ursula Weber more than expected).
Fields of papers citing papers by Ursula Weber
This network shows the impact of papers produced by Ursula Weber. 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 Ursula Weber. The network helps show where Ursula Weber may publish in the future.
Co-authors
The 25 scholars most cited alongside Ursula Weber, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1997 | 485 | |
| 2 | 1991 | 380 | |
| 3 | 1987 | 325 | |
| 4 | 2000 | 168 | |
| 5 | 2000 | 162 | |
| 6 | 1993 | 155 | |
| 7 | 2005 | 109 | |
| 8 | 2018 | 105 | |
| 9 | 1965 | 80 | |
| 10 | 1993 | 79 | |
| 11 | 2003 | 59 | |
| 12 | 1984 | 56 | |
| 13 | 2001 | 54 | |
| 14 | 2006 | 51 | |
| 15 | 1994 | 42 | |
| 16 | 2012 | 41 | |
| 17 | 1984 | 39 | |
| 18 | 2008 | 38 | |
| 19 | 2000 | 36 | |
| 20 | 1995 | 31 |
About Ursula Weber
Ursula Weber is a scholar working on Molecular Biology, Cell Biology, Cellular and Molecular Neuroscience, Genetics and Immunology, having authored 31 papers that have together received 2.7k indexed citations. Recurring topics across this work include Wnt/β-catenin signaling in development and cancer (9 papers), Developmental Biology and Gene Regulation (9 papers), Hippo pathway signaling and YAP/TAZ (7 papers), Microtubule and mitosis dynamics (5 papers), Neurobiology and Insect Physiology Research (5 papers), Invertebrate Immune Response Mechanisms (4 papers), Plant Molecular Biology Research (3 papers) and RNA Research and Splicing (3 papers). The work is most often cited by research in Cell Biology (993 citations), Aging (90 citations), Molecular Biology (2.2k citations), Cellular and Molecular Neuroscience (509 citations) and Immunology (264 citations). Ursula Weber has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Marek Mlodzik, David Strutt, R Klemenz, Walter J. Gehring, Paul A. Mahoney, Corey S. Goodman, Peter J. Bryant, Harald Biessmann, Nuria Paricio and Herschel K. Mitchell. Their work appears in journals such as The EMBO Journal, Developmental Cell, PLoS Genetics, Nature Communications and Nature.
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.