Uta Fuchs
Impact in
- Hematology top 2%
- Acute Myeloid Leukemia Research
- Chronic Myeloid Leukemia Treatments
- Molecular Biology top 10%
- RNA Interference and Gene Delivery
- Fungal and yeast genetics research
- Protein Degradation and Inhibitors
- Advanced biosensing and bioanalysis techniques
- Genomics and Chromatin Dynamics
Papers in
- Hematology 11
- Acute Myeloid Leukemia Research 8
- Chronic Myeloid Leukemia Treatments 5
- Co-authors
- Arndt BorkhardtGero SteinbergWilhelm WößmannMonika WildaRobert K. SlanyJay L. HessChristine Damm‐WelkGerd Hause
- Journals
- Blood (3 papers)Physiological Entomology (2 papers)Oncogene (2 papers)Proceedings of the National Academy of Sciences (2 papers)British Journal of Cancer (1 paper)
- Partner nations
- GermanyUnited StatesAustria
In The Last Decade
Uta Fuchs
28 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 80
- Hematology 426
- Molecular Biology 1.1k
- Cell Biology 230
- Genetics 125
- Cancer Research 137
Countries citing papers authored by Uta Fuchs
This map shows the geographic impact of Uta Fuchs'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 Fuchs with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Uta Fuchs more than expected).
Fields of papers citing papers by Uta Fuchs
This network shows the impact of papers produced by Uta Fuchs. 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 Fuchs. The network helps show where Uta Fuchs may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Uta Fuchs, 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 | 2010 | 21 | |
| 2 | 2007 | 31 | |
| 3 | 2006 | 63 | |
| 4 | 2006 | 21 | |
| 5 | 2006 | 26 | |
| 6 | 2006 | 128 | |
| 7 | 2005 | 74 | |
| 8 | 2005 | 75 | |
| 9 | 2005 | 24 | |
| 10 | 2005 | 1 | |
| 11 | 2004 | 61 | |
| 12 | 2003 | 42 | |
| 13 | 2003 | 29 | |
| 14 | 2003 | 20 | |
| 15 | 2003 | 246 | |
| 16 | 2003 | 13 | |
| 17 | RNA interference: new mechanisms for targeted treatment? | 2003 | 15 |
| 18 | 2002 | 214 | |
| 19 | 2001 | 43 | |
| 20 | [Clinically significant double carcinoma in man]. | 1960 | 1 |
About Uta Fuchs
Uta Fuchs is a scholar working on Hematology, Cell Biology, Molecular Biology, Genetics and Cancer Research, having authored 29 papers that have together received 1.5k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (8 papers), RNA Interference and Gene Delivery (8 papers), Advanced biosensing and bioanalysis techniques (7 papers), Chronic Myeloid Leukemia Treatments (5 papers), Fungal and yeast genetics research (5 papers), Plant Reproductive Biology (4 papers), Chronic Lymphocytic Leukemia Research (3 papers) and Glycosylation and Glycoproteins Research (2 papers). The work is most often cited by research in Hematology (426 citations), Molecular Biology (1.1k citations), Cell Biology (230 citations), Genetics (125 citations) and Cancer Research (137 citations). Uta Fuchs has collaborated with scholars based in Germany, United States and Austria. Frequent co-authors include Arndt Borkhardt, Gero Steinberg, Wilhelm Wößmann, Monika Wilda, Robert K. Slany, Jay L. Hess, Christine Damm‐Welk, Gerd Hause, Isabel Bartrina and Oskar A. Haas. Their work appears in journals such as Blood, Physiological Entomology, Oncogene, Proceedings of the National Academy of Sciences and British Journal of Cancer.
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.