Susanne Meyer
Impact in
- Hepatology top 5%
- Liver physiology and pathology
- Oncology top 10%
Papers in
-
- PI3K/AKT/mTOR signaling in cancer 5
- Cell death mechanisms and regulation 5
- Angiogenesis and VEGF in Cancer 4
- Glycosylation and Glycoproteins Research 2
- Genetics 11
- Virus-based gene therapy research 4
- Co-authors
- Gary Elliott (5 shared papers)Hartmut Beug (4 shared papers)Peter Steinlein (3 shared papers)Immo A. Hansen (5 shared papers)R Yabkowitz (3 shared papers)Michael J. Hayman (5 shared papers)A Hönig (11 shared papers)Jens C. Hahne (11 shared papers)
- Journals
- Blood (3 papers)Insect Molecular Biology (2 papers)Archives of Gynecology and Obstetrics (2 papers)Molecular and Cellular Biology (2 papers)Virology (2 papers)
- Partner nations
- GermanyUnited StatesCanada
In The Last Decade
Susanne Meyer
43 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 96
- Hepatology 191
- Oncology 266
- Immunology and Allergy 59
- Molecular Biology 712
- Cancer Research 115
Countries citing papers authored by Susanne Meyer
This map shows the geographic impact of Susanne Meyer'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 Susanne Meyer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Susanne Meyer more than expected).
Fields of papers citing papers by Susanne Meyer
This network shows the impact of papers produced by Susanne Meyer. 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 Susanne Meyer. The network helps show where Susanne Meyer may publish in the future.
Co-authors
The 25 scholars most cited alongside Susanne Meyer, 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 46 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 203 | |
| 2 | 2018 | 120 | |
| 3 | 1999 | 94 | |
| 4 | 1993 | 82 | |
| 5 | 2010 | 69 | |
| 6 | 2007 | 55 | |
| 7 | 1997 | 48 | |
| 8 | 1995 | 46 | |
| 9 | 2014 | 45 | |
| 10 | 2003 | 45 | |
| 11 | 2001 | 41 | |
| 12 | 2015 | 40 | |
| 13 | 2009 | 38 | |
| 14 | 2013 | 38 | |
| 15 | 2002 | 37 | |
| 16 | 2013 | 37 | |
| 17 | 2012 | 34 | |
| 18 | 1994 | 34 | |
| 19 | 1990 | 24 | |
| 20 | 2003 | 24 |
About Susanne Meyer
Susanne Meyer is a scholar working on Molecular Biology, Genetics, Oncology, Immunology and Cellular and Molecular Neuroscience, having authored 46 papers that have together received 1.4k indexed citations. Recurring topics across this work include PI3K/AKT/mTOR signaling in cancer (5 papers), Cell death mechanisms and regulation (5 papers), Angiogenesis and VEGF in Cancer (4 papers), Virus-based gene therapy research (4 papers), Liver physiology and pathology (3 papers), Neurobiology and Insect Physiology Research (3 papers), Cell Adhesion Molecules Research (3 papers) and Glycosylation and Glycoproteins Research (2 papers). The work is most often cited by research in Hepatology (191 citations), Oncology (266 citations), Immunology and Allergy (59 citations), Molecular Biology (712 citations) and Cancer Research (115 citations). Susanne Meyer has collaborated with scholars based in Germany, United States and Canada. Frequent co-authors include Gary Elliott, Hartmut Beug, Peter Steinlein, Immo A. Hansen, R Yabkowitz, Michael J. Hayman, A Hönig, Jens C. Hahne, J. Dietl and Klaus Scheller. Their work appears in journals such as Blood, Insect Molecular Biology, Archives of Gynecology and Obstetrics, Molecular and Cellular Biology and Virology.
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.