Daniel Scheps
Impact in
- Pharmacology top 5%
- Pharmacogenetics and Drug Metabolism
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- Microbial Metabolic Engineering and Bioproduction
- Enzyme Catalysis and Immobilization
- Protein purification and stability
Papers in
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- Protein purification and stability 5
- Microbial Metabolic Engineering and Bioproduction 5
- Enzyme Catalysis and Immobilization 3
- Microbial metabolism and enzyme function 2
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- Pharmacogenetics and Drug Metabolism 4
- Co-authors
- Sumire Honda Malca (5 shared papers)Bernhard Hauer (5 shared papers)Bettina M. Nestl (4 shared papers)Sven M. Richter (1 shared paper)Karoline Marisch (1 shared paper)Alexander Seifert (1 shared paper)Stefan Jacob (1 shared paper)Andrew J. Foster (1 shared paper)
In The Last Decade
Daniel Scheps
13 papers receiving 354 citations
Peers
Comparison fields: 5 of 65
- Pharmacology 118
- Molecular Biology 269
- Biochemistry 22
- Inorganic Chemistry 31
- Pollution 24
Countries citing papers authored by Daniel Scheps
This map shows the geographic impact of Daniel Scheps'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 Daniel Scheps with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Scheps more than expected).
Fields of papers citing papers by Daniel Scheps
This network shows the impact of papers produced by Daniel Scheps. 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 Daniel Scheps. The network helps show where Daniel Scheps may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Scheps, 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 | 2012 | 92 | |
| 2 | 2013 | 81 | |
| 3 | 2011 | 77 | |
| 4 | 2016 | 26 | |
| 5 | 2013 | 15 | |
| 6 | 2017 | 12 | |
| 7 | 2024 | 12 | |
| 8 | 2014 | 12 | |
| 9 | 2022 | 10 | |
| 10 | 2023 | 7 | |
| 11 | 2023 | 6 | |
| 12 | 2017 | 4 | |
| 13 | 2023 | 1 | |
| 14 | 2023 | 0 |
About Daniel Scheps
Daniel Scheps is a scholar working on Molecular Biology, Pharmacology, Spectroscopy, Cellular and Molecular Neuroscience and Neurology, having authored 14 papers that have together received 355 indexed citations. Recurring topics across this work include Protein purification and stability (5 papers), Microbial Metabolic Engineering and Bioproduction (5 papers), Analytical Chemistry and Chromatography (4 papers), Pharmacogenetics and Drug Metabolism (4 papers), Enzyme Catalysis and Immobilization (3 papers), Hereditary Neurological Disorders (2 papers), Microbial metabolism and enzyme function (2 papers) and Botulinum Toxin and Related Neurological Disorders (2 papers). The work is most often cited by research in Pharmacology (118 citations), Molecular Biology (269 citations), Biochemistry (22 citations), Inorganic Chemistry (31 citations) and Pollution (24 citations). Daniel Scheps has collaborated with scholars based in Germany, France and Austria. Frequent co-authors include Sumire Honda Malca, Bernhard Hauer, Bettina M. Nestl, Sven M. Richter, Karoline Marisch, Alexander Seifert, Stefan Jacob, Andrew J. Foster, Eckhard Thines and Jürgen Frevert. Their work appears in journals such as Toxicon, Journal of Separation Science, Chemical Communications, Microbiological Research and Microbial Biotechnology.
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.