J. Schiebel
Impact in
-
- Computational Drug Discovery Methods
- Molecular Medicine top 10%
- Antibiotic Resistance in Bacteria
Papers in
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- Protein Structure and Dynamics 9
- Biochemical and Molecular Research 6
- Chemical Synthesis and Analysis 5
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- Enzyme Structure and Function 10
- Co-authors
- A. Heine (13 shared papers)G. Klebe (13 shared papers)Caroline Kisker (9 shared papers)Peter J. Tonge (7 shared papers)Andrew Chang (5 shared papers)Andreas Ostermann (4 shared papers)Roberto Gaspari (3 shared papers)Andrea Cavalli (2 shared papers)
- Journals
- Structure (3 papers)Journal of Medicinal Chemistry (3 papers)Angewandte Chemie International Edition (2 papers)Journal of Biological Chemistry (2 papers)Biochemistry (2 papers)
- Partner nations
- GermanyUnited StatesSweden
In The Last Decade
J. Schiebel
21 papers receiving 776 citations
Peers
Comparison fields: 5 of 85
- Computational Theory and Mathematics 175
- Molecular Medicine 55
- Microbiology 47
- Molecular Biology 514
- Organic Chemistry 185
Countries citing papers authored by J. Schiebel
This map shows the geographic impact of J. Schiebel'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 J. Schiebel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. Schiebel more than expected).
Fields of papers citing papers by J. Schiebel
This network shows the impact of papers produced by J. Schiebel. 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 J. Schiebel. The network helps show where J. Schiebel may publish in the future.
Co-authors
The 25 scholars most cited alongside J. Schiebel, 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 171 | |
| 2 | 2016 | 80 | |
| 3 | 2012 | 74 | |
| 4 | 2016 | 60 | |
| 5 | 2014 | 53 | |
| 6 | 2015 | 52 | |
| 7 | 2013 | 51 | |
| 8 | 2014 | 38 | |
| 9 | 2013 | 35 | |
| 10 | 2015 | 27 | |
| 11 | 2016 | 26 | |
| 12 | 2016 | 24 | |
| 13 | 2017 | 23 | |
| 14 | 2017 | 21 | |
| 15 | 2016 | 13 | |
| 16 | 2016 | 12 | |
| 17 | 2017 | 11 | |
| 18 | 2021 | 6 | |
| 19 | 2017 | 3 | |
| 20 | 2021 | 1 |
About J. Schiebel
J. Schiebel is a scholar working on Molecular Biology, Materials Chemistry, Organic Chemistry, Infectious Diseases and Computational Theory and Mathematics, having authored 22 papers that have together received 782 indexed citations. Recurring topics across this work include Enzyme Structure and Function (10 papers), Protein Structure and Dynamics (9 papers), Biochemical and Molecular Research (6 papers), Chemical Synthesis and Analysis (5 papers), Antimicrobial agents and applications (5 papers), Antimicrobial Resistance in Staphylococcus (3 papers), Computational Drug Discovery Methods (3 papers) and Microbial Natural Products and Biosynthesis (2 papers). The work is most often cited by research in Computational Theory and Mathematics (175 citations), Molecular Medicine (55 citations), Microbiology (47 citations), Molecular Biology (514 citations) and Organic Chemistry (185 citations). J. Schiebel has collaborated with scholars based in Germany, United States and Sweden. Frequent co-authors include A. Heine, G. Klebe, Caroline Kisker, Peter J. Tonge, Andrew Chang, Andreas Ostermann, Roberto Gaspari, Andrea Cavalli, Tobias Wulsdorf and Tobias E. Schrader. Their work appears in journals such as Structure, Journal of Medicinal Chemistry, Angewandte Chemie International Edition, Journal of Biological Chemistry and Biochemistry.
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.