Markus Pietsch
Impact in
- Organic Chemistry top 5%
- Synthesis and biological activity
- Synthesis and Biological Evaluation
- Click Chemistry and Applications
- Pharmacology top 10%
- Cholinesterase and Neurodegenerative Diseases
Papers in
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- Protein Kinase Regulation and GTPase Signaling 7
- Chemical Synthesis and Analysis 6
- Receptor Mechanisms and Signaling 3
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- Synthesis and biological activity 4
- Synthesis and Characterization of Heterocyclic Compounds 3
- Click Chemistry and Applications 3
- Co-authors
- Michael Gütschow (22 shared papers)Andrew D. Abell (8 shared papers)Reik Löser (10 shared papers)Robert Wodtke (9 shared papers)Erwin A. Galinski (1 shared paper)Lars Kuerschner (2 shared papers)Ulf Neumann (2 shared papers)Jens Pietzsch (6 shared papers)
In The Last Decade
Markus Pietsch
52 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 99
- Organic Chemistry 356
- Pharmacology 145
- Molecular Biology 458
- Computational Theory and Mathematics 97
- Neurology 40
Countries citing papers authored by Markus Pietsch
This map shows the geographic impact of Markus Pietsch'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 Pietsch with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Markus Pietsch more than expected).
Fields of papers citing papers by Markus Pietsch
This network shows the impact of papers produced by Markus Pietsch. 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 Pietsch. The network helps show where Markus Pietsch may publish in the future.
Co-authors
The 25 scholars most cited alongside Markus Pietsch, 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 53 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 96 | |
| 2 | 1999 | 83 | |
| 3 | 2006 | 63 | |
| 4 | 2010 | 59 | |
| 5 | 2002 | 52 | |
| 6 | 2015 | 47 | |
| 7 | 2011 | 41 | |
| 8 | 2008 | 38 | |
| 9 | 2009 | 35 | |
| 10 | 2013 | 32 | |
| 11 | 2018 | 30 | |
| 12 | 2019 | 29 | |
| 13 | 2005 | 27 | |
| 14 | 2014 | 26 | |
| 15 | 2013 | 26 | |
| 16 | 2013 | 26 | |
| 17 | 2021 | 24 | |
| 18 | 2015 | 21 | |
| 19 | 2020 | 20 | |
| 20 | 2005 | 19 |
About Markus Pietsch
Markus Pietsch is a scholar working on Molecular Biology, Organic Chemistry, Pulmonary and Respiratory Medicine, Oncology and Pharmacology, having authored 53 papers that have together received 1.0k indexed citations. Recurring topics across this work include Blood properties and coagulation (8 papers), Protein Kinase Regulation and GTPase Signaling (7 papers), Chemical Synthesis and Analysis (6 papers), Synthesis and biological activity (4 papers), Receptor Mechanisms and Signaling (3 papers), Synthesis and Characterization of Heterocyclic Compounds (3 papers), Peptidase Inhibition and Analysis (3 papers) and Click Chemistry and Applications (3 papers). The work is most often cited by research in Organic Chemistry (356 citations), Pharmacology (145 citations), Molecular Biology (458 citations), Computational Theory and Mathematics (97 citations) and Neurology (40 citations). Markus Pietsch has collaborated with scholars based in Germany, Australia and Denmark. Frequent co-authors include Michael Gütschow, Andrew D. Abell, Reik Löser, Robert Wodtke, Erwin A. Galinski, Lars Kuerschner, Ulf Neumann, Jens Pietzsch, Steven Ballet and Kurt Eger. Their work appears in journals such as ChemMedChem, Journal of Medicinal Chemistry, Analytical Biochemistry, Bioorganic Chemistry and Biological Chemistry.
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.