Katrin Weigmann
Impact in
- Aging top 5%
- Cell Biology top 5%
- Hippo pathway signaling and YAP/TAZ
- Microtubule and mitosis dynamics
Papers in
-
- Developmental Biology and Gene Regulation 6
- Wnt/β-catenin signaling in development and cancer 2
- Genomics and Chromatin Dynamics 2
- Co-authors
- Stephen M. Cohen (4 shared papers)Christian F. Lehner (4 shared papers)David R. Hipfner (1 shared paper)Gerald M. Rubin (1 shared paper)Vladimı́r Beneš (1 shared paper)Pernille Rørth (1 shared paper)Todd Laverty (1 shared paper)Marco Milán (1 shared paper)
- Journals
- EMBO Reports (23 papers)Development (4 papers)Molecular Biology of the Cell (1 paper)Genes & Development (1 paper)ACS Catalysis (1 paper)
- Partner nations
- GermanyUnited StatesPoland
In The Last Decade
Katrin Weigmann
32 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 117
- Aging 51
- Cell Biology 336
- Cellular and Molecular Neuroscience 242
- Molecular Biology 838
- Cancer Research 96
Countries citing papers authored by Katrin Weigmann
This map shows the geographic impact of Katrin Weigmann'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 Katrin Weigmann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Katrin Weigmann more than expected).
Fields of papers citing papers by Katrin Weigmann
This network shows the impact of papers produced by Katrin Weigmann. 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 Katrin Weigmann. The network helps show where Katrin Weigmann may publish in the future.
Co-authors
The 25 scholars most cited alongside Katrin Weigmann, 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 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1998 | 393 | |
| 2 | 1997 | 166 | |
| 3 | 2002 | 153 | |
| 4 | 1997 | 67 | |
| 5 | 1995 | 54 | |
| 6 | 1996 | 53 | |
| 7 | 1999 | 53 | |
| 8 | 2003 | 36 | |
| 9 | 2016 | 16 | |
| 10 | 2019 | 14 | |
| 11 | 2004 | 13 | |
| 12 | 2016 | 11 | |
| 13 | 2014 | 10 | |
| 14 | 2016 | 9 | |
| 15 | 2012 | 9 | |
| 16 | 2013 | 9 | |
| 17 | 2001 | 8 | |
| 18 | 2006 | 8 | |
| 19 | 2017 | 6 | |
| 20 | 2004 | 6 |
About Katrin Weigmann
Katrin Weigmann is a scholar working on Molecular Biology, Cognitive Neuroscience, Genetics, Cell Biology and Developmental and Educational Psychology, having authored 32 papers that have together received 1.1k indexed citations. Recurring topics across this work include Developmental Biology and Gene Regulation (6 papers), Action Observation and Synchronization (2 papers), Wnt/β-catenin signaling in development and cancer (2 papers), Child and Animal Learning Development (2 papers), Neurobiology and Insect Physiology Research (2 papers), Microtubule and mitosis dynamics (2 papers), Genomics and Chromatin Dynamics (2 papers) and Neuroendocrine regulation and behavior (2 papers). The work is most often cited by research in Aging (51 citations), Cell Biology (336 citations), Cellular and Molecular Neuroscience (242 citations), Molecular Biology (838 citations) and Cancer Research (96 citations). Katrin Weigmann has collaborated with scholars based in Germany, United States and Poland. Frequent co-authors include Stephen M. Cohen, Christian F. Lehner, David R. Hipfner, Gerald M. Rubin, Vladimı́r Beneš, Pernille Rørth, Todd Laverty, Marco Milán, Adina Bailey and Wilhelm Ansorge. Their work appears in journals such as EMBO Reports, Development, Molecular Biology of the Cell, Genes & Development and ACS Catalysis.
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.