Markus Sitzmann
Impact in
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- Computational Drug Discovery Methods
- Pharmacology top 10%
- Pharmacogenetics and Drug Metabolism
Papers in
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- Computational Drug Discovery Methods 8
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- Chemical Synthesis and Analysis 4
- Protein Structure and Dynamics 2
- Co-authors
- Marc C. Nicklaus (8 shared papers)Megan L. Peach (4 shared papers)Chenzhong Liao (2 shared papers)Alexey Zakharov (3 shared papers)Angelo Pugliese (2 shared papers)Wolf‐Dietrich Ihlenfeldt (2 shared papers)Igor Filippov (3 shared papers)Jonatan Zischg (3 shared papers)
- Journals
- Journal of Chemical Information and Modeling (4 papers)Future Medicinal Chemistry (2 papers)Perspectives in Drug Discovery and Design (1 paper)Water (1 paper)SAR and QSAR in environmental research (1 paper)
- Partner nations
- United StatesAustriaGermany
In The Last Decade
Markus Sitzmann
16 papers receiving 664 citations
Peers
Comparison fields: 5 of 106
- Computational Theory and Mathematics 375
- Pharmacology 62
- Environmental Engineering 79
- Molecular Biology 305
- Spectroscopy 70
Countries citing papers authored by Markus Sitzmann
This map shows the geographic impact of Markus Sitzmann'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 Sitzmann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Markus Sitzmann more than expected).
Fields of papers citing papers by Markus Sitzmann
This network shows the impact of papers produced by Markus Sitzmann. 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 Sitzmann. The network helps show where Markus Sitzmann may publish in the future.
Co-authors
The 25 scholars most cited alongside Markus Sitzmann, 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 | 2011 | 139 | |
| 2 | 2014 | 101 | |
| 3 | 2018 | 68 | |
| 4 | 2010 | 62 | |
| 5 | 2012 | 52 | |
| 6 | 2008 | 45 | |
| 7 | 2014 | 43 | |
| 8 | 2014 | 34 | |
| 9 | 2012 | 33 | |
| 10 | 2013 | 31 | |
| 11 | 2017 | 25 | |
| 12 | 2000 | 25 | |
| 13 | 2012 | 20 | |
| 14 | 2005 | 12 | |
| 15 | 2017 | 4 | |
| 16 | 2004 | 1 |
About Markus Sitzmann
Markus Sitzmann is a scholar working on Computational Theory and Mathematics, Molecular Biology, Spectroscopy, Environmental Engineering and Computer Networks and Communications, having authored 16 papers that have together received 695 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (8 papers), Analytical Chemistry and Chromatography (4 papers), Chemical Synthesis and Analysis (4 papers), Urban Stormwater Management Solutions (3 papers), Pharmacogenetics and Drug Metabolism (2 papers), Advanced Database Systems and Queries (2 papers), Water Systems and Optimization (2 papers) and Protein Structure and Dynamics (2 papers). The work is most often cited by research in Computational Theory and Mathematics (375 citations), Pharmacology (62 citations), Environmental Engineering (79 citations), Molecular Biology (305 citations) and Spectroscopy (70 citations). Markus Sitzmann has collaborated with scholars based in United States, Austria and Germany. Frequent co-authors include Marc C. Nicklaus, Megan L. Peach, Chenzhong Liao, Alexey Zakharov, Angelo Pugliese, Wolf‐Dietrich Ihlenfeldt, Igor Filippov, Jonatan Zischg, Christopher Southan and Sorel Mureşan. Their work appears in journals such as Journal of Chemical Information and Modeling, Future Medicinal Chemistry, Perspectives in Drug Discovery and Design, Water and SAR and QSAR in environmental 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.