Ulrike Stein
Impact in
- Oncology top 1%
- Drug Transport and Resistance Mechanisms
- Cancer Cells and Metastasis
- Cancer Research top 1%
Papers in
-
- RNA Interference and Gene Delivery 27
- S100 Proteins and Annexins 18
- Cancer-related gene regulation 15
- Oncology 73
- Drug Transport and Resistance Mechanisms 29
- Co-authors
- Wolfgang Walther (97 shared papers)Peter M. Schlag (41 shared papers)Iduna Fichtner (30 shared papers)K. Remberger (4 shared papers)Franziska Arlt (7 shared papers)Helmut Bonkhoff (3 shared papers)Dennis Kobelt (39 shared papers)Janice Smith (16 shared papers)
- Journals
- Cancers (15 papers)Cancer Research (8 papers)Oncogene (8 papers)International Journal of Cancer (8 papers)Clinical Chemistry and Laboratory Medicine (CCLM) (5 papers)
- Partner nations
- GermanyUnited StatesSwitzerland
In The Last Decade
Ulrike Stein
220 papers receiving 7.2k citations
Peers
Comparison fields: 5 of 153
- Oncology 1.9k
- Cancer Research 1000
- Molecular Biology 3.6k
- Biotechnology 333
- Pathology and Forensic Medicine 564
Countries citing papers authored by Ulrike Stein
This map shows the geographic impact of Ulrike Stein'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 Ulrike Stein with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ulrike Stein more than expected).
Fields of papers citing papers by Ulrike Stein
This network shows the impact of papers produced by Ulrike Stein. 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 Ulrike Stein. The network helps show where Ulrike Stein may publish in the future.
Co-authors
The 25 scholars most cited alongside Ulrike Stein, 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 236 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 400 | |
| 2 | 2000 | 312 | |
| 3 | 1993 | 192 | |
| 4 | 2006 | 187 | |
| 5 | 2003 | 186 | |
| 6 | 1994 | 182 | |
| 7 | 2005 | 175 | |
| 8 | 2011 | 171 | |
| 9 | 2014 | 130 | |
| 10 | 2001 | 117 | |
| 11 | 2019 | 117 | |
| 12 | 1993 | 115 | |
| 13 | 2009 | 109 | |
| 14 | 2009 | 103 | |
| 15 | 2011 | 98 | |
| 16 | 1993 | 97 | |
| 17 | 2014 | 94 | |
| 18 | 2007 | 89 | |
| 19 | 2018 | 89 | |
| 20 | 2017 | 87 |
About Ulrike Stein
Ulrike Stein is a scholar working on Molecular Biology, Oncology, Genetics, Biotechnology and Pathology and Forensic Medicine, having authored 236 papers that have together received 7.3k indexed citations. Recurring topics across this work include Drug Transport and Resistance Mechanisms (29 papers), RNA Interference and Gene Delivery (27 papers), Cancer Research and Treatments (22 papers), Virus-based gene therapy research (19 papers), S100 Proteins and Annexins (18 papers), Cancer-related gene regulation (15 papers), German Economic Analysis & Policies (14 papers) and Cancer Mechanisms and Therapy (13 papers). The work is most often cited by research in Oncology (1.9k citations), Cancer Research (1000 citations), Molecular Biology (3.6k citations), Biotechnology (333 citations) and Pathology and Forensic Medicine (564 citations). Ulrike Stein has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Wolfgang Walther, Peter M. Schlag, Iduna Fichtner, K. Remberger, Franziska Arlt, Helmut Bonkhoff, Dennis Kobelt, Janice Smith, Robert H. Shoemaker and Mathias Dahlmann. Their work appears in journals such as Cancers, Cancer Research, Oncogene, International Journal of Cancer and Clinical Chemistry and Laboratory Medicine (CCLM).
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.