Markus Schiller
Impact in
- Biophysics top 10%
- Spectroscopy Techniques in Biomedical and Chemical Research
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- Computational Drug Discovery Methods
Papers in
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- Computational Drug Discovery Methods 4
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- Free Radicals and Antioxidants 1
- Co-authors
- Tanja Schirmeister (6 shared papers)Knut Baumann (3 shared papers)Samuel Samnick (3 shared papers)Andreas K. Buck (3 shared papers)John Ziebuhr (2 shared papers)Nikolaus Stiefl (2 shared papers)Radim Vičík (2 shared papers)Bernd Engels (1 shared paper)
- Journals
- Current Topics in Medicinal Chemistry (1 paper)Frontiers in Aging Neuroscience (1 paper)Radiation Oncology (1 paper)Journal of Medicinal Chemistry (1 paper)Bioorganic & Medicinal Chemistry Letters (1 paper)
- Partner nations
- GermanyUnited StatesItaly
In The Last Decade
Markus Schiller
9 papers receiving 320 citations
Peers
Comparison fields: 5 of 68
- Biophysics 25
- Computational Theory and Mathematics 54
- Infectious Diseases 61
- Neurology 43
- Organic Chemistry 72
Countries citing papers authored by Markus Schiller
This map shows the geographic impact of Markus Schiller'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 Markus Schiller with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Markus Schiller more than expected).
Fields of papers citing papers by Markus Schiller
This network shows the impact of papers produced by Markus Schiller. 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 Markus Schiller. The network helps show where Markus Schiller may publish in the future.
Co-authors
The 25 scholars most cited alongside Markus Schiller, 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 | 2012 | 72 | |
| 2 | 2005 | 52 | |
| 3 | 2011 | 42 | |
| 4 | 2005 | 38 | |
| 5 | 2010 | 36 | |
| 6 | 2010 | 31 | |
| 7 | 2014 | 23 | |
| 8 | 2014 | 23 | |
| 9 | 2008 | 8 | |
| 10 | 2017 | 1 |
About Markus Schiller
Markus Schiller is a scholar working on Computational Theory and Mathematics, Organic Chemistry, Molecular Biology, Pharmacology and Epidemiology, having authored 10 papers that have together received 326 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (4 papers), Cholinesterase and Neurodegenerative Diseases (2 papers), Nicotinic Acetylcholine Receptors Study (2 papers), Meningioma and schwannoma management (1 paper), Traditional and Medicinal Uses of Annonaceae (1 paper), Malaria Research and Control (1 paper), SARS-CoV-2 and COVID-19 Research (1 paper) and Free Radicals and Antioxidants (1 paper). The work is most often cited by research in Biophysics (25 citations), Computational Theory and Mathematics (54 citations), Infectious Diseases (61 citations), Neurology (43 citations) and Organic Chemistry (72 citations). Markus Schiller has collaborated with scholars based in Germany, United States and Italy. Frequent co-authors include Tanja Schirmeister, Knut Baumann, Samuel Samnick, Andreas K. Buck, John Ziebuhr, Nikolaus Stiefl, Radim Vičík, Bernd Engels, Michael Laßmann and Frederik A. Verburg. Their work appears in journals such as Current Topics in Medicinal Chemistry, Frontiers in Aging Neuroscience, Radiation Oncology, Journal of Medicinal Chemistry and Bioorganic & Medicinal Chemistry Letters.
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.