Daniel Reker
Impact in
- Computational Theory and Mathematics top 0.5%
- Computational Drug Discovery Methods
- Pharmacology top 1%
- Microbial Natural Products and Biosynthesis
Papers in
-
- Chemical Synthesis and Analysis 7
- Protein Structure and Dynamics 5
- Receptor Mechanisms and Signaling 4
-
- Computational Drug Discovery Methods 36
- Co-authors
- Gisbert Schneider (28 shared papers)Petra Schneider (21 shared papers)Tiago Rodrigues (20 shared papers)Michael Reutlinger (4 shared papers)Gonçalo J. L. Bernardes (3 shared papers)Giovanni Traverso (11 shared papers)J.B. Brown (3 shared papers)Róbert Langer (9 shared papers)
- Journals
- Angewandte Chemie International Edition (6 papers)Nature Chemistry (3 papers)Nature Computational Science (2 papers)Advanced Science (2 papers)Molecular Informatics (2 papers)
- Partner nations
- United StatesSwitzerlandGermany
In The Last Decade
Daniel Reker
63 papers receiving 3.2k citations
Daniel Reker's Hit Papers
Peers
Comparison fields: 5 of 158
- Computational Theory and Mathematics 1.2k
- Pharmacology 604
- Toxicology 107
- Molecular Biology 1.6k
- Pharmacology 156
Countries citing papers authored by Daniel Reker
This map shows the geographic impact of Daniel Reker'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 Reker with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Reker more than expected).
Fields of papers citing papers by Daniel Reker
This network shows the impact of papers produced by Daniel Reker. 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 Reker. The network helps show where Daniel Reker may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Reker, 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 68 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Counting on natural products for drug design Hit paper breakdown → | 2016 | 992 |
| 2 | 2014 | 193 | |
| 3 | 2014 | 192 | |
| 4 | 2021 | 147 | |
| 5 | 2013 | 140 | |
| 6 | 2014 | 110 | |
| 7 | 2022 | 81 | |
| 8 | 2019 | 77 | |
| 9 | 2017 | 76 | |
| 10 | The landscape of small-molecule prodrugs Hit paper breakdown → | 2024 | 71 |
| 11 | 2019 | 67 | |
| 12 | 2013 | 64 | |
| 13 | 2016 | 62 | |
| 14 | 2015 | 60 | |
| 15 | 2020 | 56 | |
| 16 | 2019 | 55 | |
| 17 | 2024 | 47 | |
| 18 | 2020 | 45 | |
| 19 | 2019 | 43 | |
| 20 | 2015 | 42 |
About Daniel Reker
Daniel Reker is a scholar working on Molecular Biology, Computational Theory and Mathematics, Pharmacology, Materials Chemistry and Biomedical Engineering, having authored 68 papers that have together received 3.2k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (36 papers), Microbial Natural Products and Biosynthesis (14 papers), Machine Learning in Materials Science (12 papers), Chemical Synthesis and Analysis (7 papers), Innovative Microfluidic and Catalytic Techniques Innovation (6 papers), Protein Structure and Dynamics (5 papers), Receptor Mechanisms and Signaling (4 papers) and Nanoparticle-Based Drug Delivery (4 papers). The work is most often cited by research in Computational Theory and Mathematics (1.2k citations), Pharmacology (604 citations), Toxicology (107 citations), Molecular Biology (1.6k citations) and Pharmacology (156 citations). Daniel Reker has collaborated with scholars based in United States, Switzerland and Germany. Frequent co-authors include Gisbert Schneider, Petra Schneider, Tiago Rodrigues, Michael Reutlinger, Gonçalo J. L. Bernardes, Giovanni Traverso, J.B. Brown, Róbert Langer, Jens Kunze and Ameya R. Kirtane. Their work appears in journals such as Angewandte Chemie International Edition, Nature Chemistry, Nature Computational Science, Advanced Science and Molecular Informatics.
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.