Hans Peter Märki
Impact in
- Biochemistry top 10%
-
- Computational Drug Discovery Methods
Papers in
-
- Chemical Synthesis and Analysis 4
- Peroxisome Proliferator-Activated Receptors 4
- Receptor Mechanisms and Signaling 3
-
- Asymmetric Synthesis and Catalysis 3
- Co-authors
- Bernd Kuhn (7 shared papers)Paul Hadváry (1 shared paper)Markus Meyer (4 shared papers)Jörg Benz (4 shared papers)Alfred Binggeli (5 shared papers)Daniel Bur (5 shared papers)A. Ruf (5 shared papers)Peter Mohr (3 shared papers)
- Journals
- CHIMIA International Journal for Chemistry (4 papers)Helvetica Chimica Acta (4 papers)Bioorganic & Medicinal Chemistry Letters (4 papers)Journal of the American Chemical Society (1 paper)FEBS Letters (1 paper)
- Partner nations
- SwitzerlandGermanyChina
In The Last Decade
Hans Peter Märki
20 papers receiving 718 citations
Peers
Comparison fields: 5 of 76
- Biochemistry 65
- Computational Theory and Mathematics 113
- Endocrinology, Diabetes and Metabolism 119
- Molecular Biology 474
- Organic Chemistry 182
Countries citing papers authored by Hans Peter Märki
This map shows the geographic impact of Hans Peter Märki'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 Hans Peter Märki with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hans Peter Märki more than expected).
Fields of papers citing papers by Hans Peter Märki
This network shows the impact of papers produced by Hans Peter Märki. 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 Hans Peter Märki. The network helps show where Hans Peter Märki may publish in the future.
Co-authors
The 25 scholars most cited alongside Hans Peter Märki, 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 | 2005 | 131 | |
| 2 | 2009 | 85 | |
| 3 | 1992 | 82 | |
| 4 | 1999 | 79 | |
| 5 | 2006 | 64 | |
| 6 | 1999 | 52 | |
| 7 | 1984 | 45 | |
| 8 | 2015 | 35 | |
| 9 | 2002 | 32 | |
| 10 | 2016 | 28 | |
| 11 | 2009 | 25 | |
| 12 | 2003 | 21 | |
| 13 | 2003 | 16 | |
| 14 | 1988 | 14 | |
| 15 | 1981 | 13 | |
| 16 | 2010 | 5 | |
| 17 | 2005 | 3 | |
| 18 | 1980 | 2 | |
| 19 | 2015 | 1 | |
| 20 | 2009 | 1 |
About Hans Peter Märki
Hans Peter Märki is a scholar working on Molecular Biology, Organic Chemistry, Computational Theory and Mathematics, Endocrinology, Diabetes and Metabolism and Cellular and Molecular Neuroscience, having authored 20 papers that have together received 734 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (4 papers), Chemical Synthesis and Analysis (4 papers), Peroxisome Proliferator-Activated Receptors (4 papers), Hormonal Regulation and Hypertension (3 papers), Adipose Tissue and Metabolism (3 papers), Receptor Mechanisms and Signaling (3 papers), Malaria Research and Control (3 papers) and Asymmetric Synthesis and Catalysis (3 papers). The work is most often cited by research in Biochemistry (65 citations), Computational Theory and Mathematics (113 citations), Endocrinology, Diabetes and Metabolism (119 citations), Molecular Biology (474 citations) and Organic Chemistry (182 citations). Hans Peter Märki has collaborated with scholars based in Switzerland, Germany and China. Frequent co-authors include Bernd Kuhn, Paul Hadváry, Markus Meyer, Jörg Benz, Alfred Binggeli, Daniel Bur, A. Ruf, Peter Mohr, Uwe Grether and Hans Hilpert. Their work appears in journals such as CHIMIA International Journal for Chemistry, Helvetica Chimica Acta, Bioorganic & Medicinal Chemistry Letters, Journal of the American Chemical Society and FEBS 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.