Stephan Bergmann
Impact in
- Oncology top 5%
- Cancer-related Molecular Pathways
- Drug Transport and Resistance Mechanisms
- Molecular Biology top 10%
- Genomics and Chromatin Dynamics
- Retinoids in leukemia and cellular processes
- RNA Research and Splicing
- TGF-β signaling in diseases
- Nuclear Structure and Function
Papers in
- Oncology 6
- Cancer-related Molecular Pathways 3
- Drug Transport and Resistance Mechanisms 3
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- TGF-β signaling in diseases 3
- Cell death mechanisms and regulation 1
- Genomics and Chromatin Dynamics 1
- Co-authors
- Pier Paolo Pandolfi (6 shared papers)Hui‐Kuan Lin (3 shared papers)Karsten Jürchott (6 shared papers)Hans‐Dieter Royer (7 shared papers)Manfred Dietel (5 shared papers)Rosa Bernardi (2 shared papers)Wolfgang Walther (3 shared papers)Henning F. Horn (1 shared paper)
- Journals
- Journal of Biological Chemistry (3 papers)Blood (2 papers)Cancer Research (2 papers)Oncogene (2 papers)Nature Medicine (1 paper)
- Partner nations
- GermanyUnited StatesUnited Kingdom
In The Last Decade
Stephan Bergmann
16 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 64
- Oncology 554
- Molecular Biology 785
- Cancer Research 116
- Genetics 139
- Pathology and Forensic Medicine 80
Countries citing papers authored by Stephan Bergmann
This map shows the geographic impact of Stephan Bergmann'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 Stephan Bergmann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stephan Bergmann more than expected).
Fields of papers citing papers by Stephan Bergmann
This network shows the impact of papers produced by Stephan Bergmann. 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 Stephan Bergmann. The network helps show where Stephan Bergmann may publish in the future.
Co-authors
The 25 scholars most cited alongside Stephan Bergmann, 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 | 1997 | 372 | |
| 2 | 2004 | 276 | |
| 3 | 2004 | 261 | |
| 4 | 2003 | 185 | |
| 5 | 2005 | 126 | |
| 6 | 2001 | 122 | |
| 7 | 2002 | 92 | |
| 8 | 2004 | 70 | |
| 9 | 2005 | 49 | |
| 10 | 2004 | 42 | |
| 11 | 2004 | 40 | |
| 12 | 2005 | 39 | |
| 13 | 2006 | 33 | |
| 14 | 2004 | 5 | |
| 15 | 1993 | 3 | |
| 16 | 1994 | 3 |
About Stephan Bergmann
Stephan Bergmann is a scholar working on Oncology, Molecular Biology, Genetics, Epidemiology and Cell Biology, having authored 16 papers that have together received 1.7k indexed citations. Recurring topics across this work include TGF-β signaling in diseases (3 papers), Cancer-related Molecular Pathways (3 papers), Drug Transport and Resistance Mechanisms (3 papers), Cervical Cancer and HPV Research (2 papers), Virus-based gene therapy research (2 papers), Microtubule and mitosis dynamics (1 paper), Cell death mechanisms and regulation (1 paper) and Genomics and Chromatin Dynamics (1 paper). The work is most often cited by research in Oncology (554 citations), Molecular Biology (785 citations), Cancer Research (116 citations), Genetics (139 citations) and Pathology and Forensic Medicine (80 citations). Stephan Bergmann has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Pier Paolo Pandolfi, Hui‐Kuan Lin, Karsten Jürchott, Hans‐Dieter Royer, Manfred Dietel, Rosa Bernardi, Wolfgang Walther, Henning F. Horn, Karen H. Vousden and Pier Paolo Scaglioni. Their work appears in journals such as Journal of Biological Chemistry, Blood, Cancer Research, Oncogene and Nature Medicine.
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.