Uta Ferch
Impact in
- Cancer Research top 5%
- NF-κB Signaling Pathways
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- Lymphoma Diagnosis and Treatment
Papers in
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- NF-κB Signaling Pathways 8
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- Lymphoma Diagnosis and Treatment 4
- Co-authors
- Jürgen Ruland (12 shared papers)Daniel Krappmann (6 shared papers)Andrea Oeckinghaus (3 shared papers)Christian Peschel (6 shared papers)Michael Düwel (3 shared papers)Elmar Wegener (3 shared papers)Bernhard Kloo (3 shared papers)Andreas Gewies (5 shared papers)
- Journals
- The Journal of Immunology (3 papers)The Journal of Experimental Medicine (3 papers)The Journal of Cell Biology (1 paper)Molecular Cell (1 paper)Nature Immunology (1 paper)
- Partner nations
- GermanyCanadaUnited States
In The Last Decade
Uta Ferch
15 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 59
- Cancer Research 526
- Pathology and Forensic Medicine 202
- Immunology 198
- Molecular Biology 239
- Genetics 26
Countries citing papers authored by Uta Ferch
This map shows the geographic impact of Uta Ferch'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 Uta Ferch with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Uta Ferch more than expected).
Fields of papers citing papers by Uta Ferch
This network shows the impact of papers produced by Uta Ferch. 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 Uta Ferch. The network helps show where Uta Ferch may publish in the future.
Co-authors
The 25 scholars most cited alongside Uta Ferch, 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 | 2009 | 201 | |
| 2 | 2007 | 179 | |
| 3 | 2009 | 174 | |
| 4 | 2010 | 125 | |
| 5 | 2006 | 113 | |
| 6 | 2007 | 70 | |
| 7 | 2010 | 68 | |
| 8 | 2007 | 66 | |
| 9 | 2007 | 42 | |
| 10 | A model for PTCH1/Ptch1-associated tumors comprising mutational inactivation and gene silencing. | 2005 | 25 |
| 11 | 2007 | 22 | |
| 12 | 2013 | 17 | |
| 13 | 2014 | 11 | |
| 14 | 2010 | 2 | |
| 15 | 2009 | 1 |
About Uta Ferch
Uta Ferch is a scholar working on Cancer Research, Pathology and Forensic Medicine, Immunology, Spectroscopy and Molecular Biology, having authored 15 papers that have together received 1.1k indexed citations. Recurring topics across this work include NF-κB Signaling Pathways (8 papers), Lymphoma Diagnosis and Treatment (4 papers), T-cell and B-cell Immunology (3 papers), Hedgehog Signaling Pathway Studies (1 paper), Advanced Proteomics Techniques and Applications (1 paper), Congenital heart defects research (1 paper) and Developmental Biology and Gene Regulation (1 paper). The work is most often cited by research in Cancer Research (526 citations), Pathology and Forensic Medicine (202 citations), Immunology (198 citations), Molecular Biology (239 citations) and Genetics (26 citations). Uta Ferch has collaborated with scholars based in Germany, Canada and United States. Frequent co-authors include Jürgen Ruland, Daniel Krappmann, Andrea Oeckinghaus, Christian Peschel, Michael Düwel, Elmar Wegener, Bernhard Kloo, Andreas Gewies, Seda Çöl Arslan and Claus Scheidereit. Their work appears in journals such as The Journal of Immunology, The Journal of Experimental Medicine, The Journal of Cell Biology, Molecular Cell and Nature Immunology.
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.