Maike Schmidt
Impact in
- Oncology top 5%
- Cancer Immunotherapy and Biomarkers
- Cancer Research top 5%
- Cancer, Hypoxia, and Metabolism
- MicroRNA in disease regulation
Papers in
-
- Angiogenesis and VEGF in Cancer 8
- Oncology 13
- Cancer Immunotherapy and Biomarkers 4
- Cancer Treatment and Pharmacology 3
- Co-authors
- Ralf Dringen (20 shared papers)Weilan Ye (3 shared papers)Alane Gray (3 shared papers)Andrea Münsterberg (3 shared papers)Doris Abele (4 shared papers)Adrian M. Jubb (3 shared papers)Kenneth J. Hillan (2 shared papers)Laura A Strickland (2 shared papers)
- Journals
- Annals of Oncology (3 papers)Journal of Neurochemistry (3 papers)Journal of Clinical Oncology (3 papers)Clinical Cancer Research (2 papers)Neurochemical Research (2 papers)
- Partner nations
- GermanyUnited StatesAustralia
In The Last Decade
Maike Schmidt
56 papers receiving 2.3k citations
Peers
Comparison fields: 5 of 129
- Oncology 615
- Cancer Research 335
- Molecular Biology 1.2k
- Immunology 339
- Cell Biology 187
Countries citing papers authored by Maike Schmidt
This map shows the geographic impact of Maike Schmidt'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 Maike Schmidt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maike Schmidt more than expected).
Fields of papers citing papers by Maike Schmidt
This network shows the impact of papers produced by Maike Schmidt. 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 Maike Schmidt. The network helps show where Maike Schmidt may publish in the future.
Co-authors
The 25 scholars most cited alongside Maike Schmidt, 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 60 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 302 | |
| 2 | 2017 | 270 | |
| 3 | 2011 | 162 | |
| 4 | 2007 | 150 | |
| 5 | 2009 | 140 | |
| 6 | 2010 | 110 | |
| 7 | 2011 | 102 | |
| 8 | 2006 | 100 | |
| 9 | 2011 | 79 | |
| 10 | 2000 | 68 | |
| 11 | 2012 | 65 | |
| 12 | 2010 | 58 | |
| 13 | 2010 | 57 | |
| 14 | 2010 | 53 | |
| 15 | 2008 | 52 | |
| 16 | 2011 | 35 | |
| 17 | 2009 | 35 | |
| 18 | 2004 | 35 | |
| 19 | 2011 | 34 | |
| 20 | 2008 | 33 |
About Maike Schmidt
Maike Schmidt is a scholar working on Molecular Biology, Oncology, Biochemistry, Immunology and Cellular and Molecular Neuroscience, having authored 60 papers that have together received 2.3k indexed citations. Recurring topics across this work include Angiogenesis and VEGF in Cancer (8 papers), Neuroinflammation and Neurodegeneration Mechanisms (6 papers), Physics and Engineering Research Articles (5 papers), Cancer Immunotherapy and Biomarkers (4 papers), Sulfur Compounds in Biology (4 papers), Advanced Breast Cancer Therapies (4 papers), Cancer Treatment and Pharmacology (3 papers) and Cell Adhesion Molecules Research (3 papers). The work is most often cited by research in Oncology (615 citations), Cancer Research (335 citations), Molecular Biology (1.2k citations), Immunology (339 citations) and Cell Biology (187 citations). Maike Schmidt has collaborated with scholars based in Germany, United States and Australia. Frequent co-authors include Ralf Dringen, Weilan Ye, Alane Gray, Andrea Münsterberg, Doris Abele, Adrian M. Jubb, Kenneth J. Hillan, Laura A Strickland, Hartmut Koeppen and Mikiko Tanaka. Their work appears in journals such as Annals of Oncology, Journal of Neurochemistry, Journal of Clinical Oncology, Clinical Cancer Research and Neurochemical Research.
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.