Marcel Scheepstra
Impact in
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- Psoriasis: Treatment and Pathogenesis
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- Supramolecular Chemistry and Complexes
- Synthesis and biological activity
Papers in
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- Computational Drug Discovery Methods 3
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- Nuclear Receptors and Signaling 2
- Co-authors
- Luc Van Hijfte (1 shared paper)Koen F. W. Hekking (1 shared paper)Luc Brunsveld (7 shared papers)Rutger H. A. Folmer (1 shared paper)Christian Ottmann (5 shared papers)Dana A. Uhlenheuer (1 shared paper)Hoang Duc Nguyen (1 shared paper)Lech-Gustav Milroy (4 shared papers)
- Journals
- Journal of Medicinal Chemistry (3 papers)Angewandte Chemie International Edition (2 papers)ACS Chemical Neuroscience (1 paper)Computational and Structural Biotechnology Journal (1 paper)Nature Communications (1 paper)
- Partner nations
- NetherlandsGermanyUnited States
In The Last Decade
Marcel Scheepstra
10 papers receiving 363 citations
Peers
Comparison fields: 5 of 39
- Immunology 71
- Organic Chemistry 98
- Molecular Biology 169
- Computational Theory and Mathematics 43
- Cellular and Molecular Neuroscience 35
Countries citing papers authored by Marcel Scheepstra
This map shows the geographic impact of Marcel Scheepstra'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 Marcel Scheepstra with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marcel Scheepstra more than expected).
Fields of papers citing papers by Marcel Scheepstra
This network shows the impact of papers produced by Marcel Scheepstra. 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 Marcel Scheepstra. The network helps show where Marcel Scheepstra may publish in the future.
Co-authors
The 24 scholars most cited alongside Marcel Scheepstra, 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 | 2019 | 94 | |
| 2 | 2015 | 90 | |
| 3 | 2011 | 54 | |
| 4 | 2014 | 38 | |
| 5 | 2019 | 33 | |
| 6 | 2017 | 23 | |
| 7 | 2014 | 15 | |
| 8 | 2016 | 15 | |
| 9 | 2017 | 14 | |
| 10 | 2024 | 10 |
About Marcel Scheepstra
Marcel Scheepstra is a scholar working on Computational Theory and Mathematics, Cellular and Molecular Neuroscience, Immunology, Molecular Biology and Organic Chemistry, having authored 10 papers that have together received 386 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (3 papers), Chemical Synthesis and Analysis (2 papers), Nuclear Receptors and Signaling (2 papers), Psoriasis: Treatment and Pathogenesis (2 papers), Receptor Mechanisms and Signaling (1 paper), Synthesis and biological activity (1 paper), Protein Structure and Dynamics (1 paper) and Estrogen and related hormone effects (1 paper). The work is most often cited by research in Immunology (71 citations), Organic Chemistry (98 citations), Molecular Biology (169 citations), Computational Theory and Mathematics (43 citations) and Cellular and Molecular Neuroscience (35 citations). Marcel Scheepstra has collaborated with scholars based in Netherlands, Germany and United States. Frequent co-authors include Luc Van Hijfte, Koen F. W. Hekking, Luc Brunsveld, Rutger H. A. Folmer, Christian Ottmann, Dana A. Uhlenheuer, Hoang Duc Nguyen, Lech-Gustav Milroy, S. Leysen and Femke A. Meijer. Their work appears in journals such as Journal of Medicinal Chemistry, Angewandte Chemie International Edition, ACS Chemical Neuroscience, Computational and Structural Biotechnology Journal and Nature Communications.
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.