Ute Nussbaumer
Impact in
- Aging top 10%
- Immunology and Allergy top 10%
- Cell Adhesion Molecules Research
Papers in
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- Developmental Biology and Gene Regulation 4
- Fungal and yeast genetics research 3
- TGF-β signaling in diseases 2
- Wnt/β-catenin signaling in development and cancer 2
- Bioinformatics and Genomic Networks 2
- Kruppel-like factors research 1
-
- Hippo pathway signaling and YAP/TAZ 1
- Co-authors
- Gerhard A. Müller (1 shared paper)Jürgen Behrens (1 shared paper)Peter Böhlen (1 shared paper)Walter Birchmeier (1 shared paper)Markus Affolter (5 shared papers)Konrad Basler (1 shared paper)Denise Nellen (1 shared paper)Yujie Chen (1 shared paper)
- Journals
- Journal of Cell Science (3 papers)Proceedings of the National Academy of Sciences (2 papers)Development (2 papers)Gene (1 paper)Molecular and Cellular Biology (1 paper)
- Partner nations
- SwitzerlandGermanyUnited States
In The Last Decade
Ute Nussbaumer
10 papers receiving 628 citations
Peers
Comparison fields: 5 of 75
- Aging 28
- Immunology and Allergy 69
- Molecular Biology 530
- Cell Biology 122
- Cancer Research 80
Countries citing papers authored by Ute Nussbaumer
This map shows the geographic impact of Ute Nussbaumer'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 Ute Nussbaumer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ute Nussbaumer more than expected).
Fields of papers citing papers by Ute Nussbaumer
This network shows the impact of papers produced by Ute Nussbaumer. 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 Ute Nussbaumer. The network helps show where Ute Nussbaumer may publish in the future.
Co-authors
The 24 scholars most cited alongside Ute Nussbaumer, 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 | 1987 | 266 | |
| 2 | 1994 | 125 | |
| 3 | 2009 | 101 | |
| 4 | 2001 | 43 | |
| 5 | 2010 | 29 | |
| 6 | 2004 | 23 | |
| 7 | 2000 | 22 | |
| 8 | 2012 | 20 | |
| 9 | 2002 | 10 | |
| 10 | 2011 | 1 |
About Ute Nussbaumer
Ute Nussbaumer is a scholar working on Molecular Biology, Cell Biology, Genetics, Cellular and Molecular Neuroscience and Immunology and Allergy, having authored 10 papers that have together received 640 indexed citations. Recurring topics across this work include Developmental Biology and Gene Regulation (4 papers), Fungal and yeast genetics research (3 papers), TGF-β signaling in diseases (2 papers), Wnt/β-catenin signaling in development and cancer (2 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (2 papers), Bioinformatics and Genomic Networks (2 papers), Kruppel-like factors research (1 paper) and Hippo pathway signaling and YAP/TAZ (1 paper). The work is most often cited by research in Aging (28 citations), Immunology and Allergy (69 citations), Molecular Biology (530 citations), Cell Biology (122 citations) and Cancer Research (80 citations). Ute Nussbaumer has collaborated with scholars based in Switzerland, Germany and United States. Frequent co-authors include Gerhard A. Müller, Jürgen Behrens, Peter Böhlen, Walter Birchmeier, Markus Affolter, Konrad Basler, Denise Nellen, Yujie Chen, Renato Paro and Muhammad Tariq. Their work appears in journals such as Journal of Cell Science, Proceedings of the National Academy of Sciences, Development, Gene and Molecular and Cellular Biology.
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.