Michaela Schmidtke
Impact in
-
- Computational Drug Discovery Methods
- Epidemiology top 5%
- Influenza Virus Research Studies
- Cervical Cancer and HPV Research
Papers in
- Epidemiology 34
- Influenza Virus Research Studies 31
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- Viral Infections and Immunology Research 16
- Co-authors
- Judith Maria Rollinger (25 shared papers)Vadim Makarov (33 shared papers)Peter Wutzler (27 shared papers)Axel Stelzner (14 shared papers)Johannes Kirchmair (19 shared papers)Ulrike Grienke (18 shared papers)Olga Riabova (21 shared papers)Klaus Roman Liedl (11 shared papers)
In The Last Decade
Michaela Schmidtke
114 papers receiving 3.3k citations
Peers
Comparison fields: 5 of 81
- Computational Theory and Mathematics 325
- Epidemiology 592
- Cardiology and Cardiovascular Medicine 376
- Pharmacology 93
- Cell Biology 66
Countries citing papers authored by Michaela Schmidtke
This map shows the geographic impact of Michaela Schmidtke'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 Michaela Schmidtke with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michaela Schmidtke more than expected).
Fields of papers citing papers by Michaela Schmidtke
This network shows the impact of papers produced by Michaela Schmidtke. 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 Michaela Schmidtke. The network helps show where Michaela Schmidtke may publish in the future.
Co-authors
The 25 scholars most cited alongside Michaela Schmidtke, 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 119 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2003 | 147 | |
| 2 | 2007 | 147 | |
| 3 | 2001 | 145 | |
| 4 | 2011 | 141 | |
| 5 | 2008 | 113 | |
| 6 | 2009 | 109 | |
| 7 | 2014 | 82 | |
| 8 | 2005 | 77 | |
| 9 | 2008 | 77 | |
| 10 | 2003 | 76 | |
| 11 | 2009 | 72 | |
| 12 | 2000 | 69 | |
| 13 | 2001 | 66 | |
| 14 | 2007 | 66 | |
| 15 | 2016 | 66 | |
| 16 | 2009 | 58 | |
| 17 | 2010 | 58 | |
| 18 | 2006 | 49 | |
| 19 | 2004 | 48 | |
| 20 | 2005 | 48 |
About Michaela Schmidtke
Michaela Schmidtke is a scholar working on Epidemiology, Cardiology and Cardiovascular Medicine, Computational Theory and Mathematics, Pharmacology and Pharmacology, having authored 119 papers that have together received 3.4k indexed citations. Recurring topics across this work include Influenza Virus Research Studies (31 papers), Viral Infections and Immunology Research (16 papers), Computational Drug Discovery Methods (11 papers), Microbial Natural Products and Biosynthesis (4 papers), Proteoglycans and glycosaminoglycans research (3 papers), Pharmacological Effects of Natural Compounds (2 papers), Bioactive natural compounds (2 papers) and Medicinal Plant Research (2 papers). The work is most often cited by research in Computational Theory and Mathematics (325 citations), Epidemiology (592 citations), Cardiology and Cardiovascular Medicine (376 citations), Pharmacology (93 citations) and Cell Biology (66 citations). Michaela Schmidtke has collaborated with scholars based in Germany, Austria and Russia. Frequent co-authors include Judith Maria Rollinger, Vadim Makarov, Peter Wutzler, Axel Stelzner, Johannes Kirchmair, Ulrike Grienke, Olga Riabova, Klaus Roman Liedl, P Wutzler and Hans‐Martin Dahse. Their work appears in journals such as Antiviral Research, Planta Medica, Journal of Medicinal Chemistry, Medical Microbiology and Immunology and Journal of Medical 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.