Daniel Mayer
Impact in
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- Receptor Mechanisms and Signaling
- Chemical Synthesis and Analysis
- RNA Research and Splicing
- Protein Structure and Dynamics
- Enzyme Catalysis and Immobilization
- Ubiquitin and proteasome pathways
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- Mass Spectrometry Techniques and Applications
Papers in
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- Receptor Mechanisms and Signaling 5
- Ubiquitin and proteasome pathways 1
- Heat shock proteins research 1
- Protein Structure and Dynamics 1
- Chemical Synthesis and Analysis 1
- RNA Research and Splicing 1
- Co-authors
- Dmitry B. Veprintsev (8 shared papers)Gebhard F. X. Schertler (3 shared papers)Joerg Standfuss (2 shared papers)Xavier Deupí (2 shared papers)Tilman Flock (2 shared papers)Dawei Sun (2 shared papers)Assaf Friedler (2 shared papers)Mattan Hurevich (2 shared papers)
- Journals
- Nature Communications (2 papers)Nature Structural & Molecular Biology (1 paper)PLoS ONE (1 paper)Organic & Biomolecular Chemistry (1 paper)eLife (1 paper)
- Partner nations
- SwitzerlandUnited KingdomUnited States
In The Last Decade
Daniel Mayer
10 papers receiving 327 citations
Peers
Comparison fields: 5 of 38
- Molecular Biology 267
- Spectroscopy 27
- Hematology 14
- Cancer Research 8
- Biophysics 4
Countries citing papers authored by Daniel Mayer
This map shows the geographic impact of Daniel Mayer'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 Mayer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Mayer more than expected).
Fields of papers citing papers by Daniel Mayer
This network shows the impact of papers produced by Daniel Mayer. 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 Mayer. The network helps show where Daniel Mayer may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Mayer, 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 | 95 | |
| 2 | 2015 | 58 | |
| 3 | 2021 | 42 | |
| 4 | 2013 | 36 | |
| 5 | 2023 | 20 | |
| 6 | 2018 | 19 | |
| 7 | 2018 | 17 | |
| 8 | 2020 | 15 | |
| 9 | 2018 | 14 | |
| 10 | 2019 | 14 |
About Daniel Mayer
Daniel Mayer is a scholar working on Molecular Biology, Spectroscopy, Materials Chemistry, Genetics and Nuclear Energy and Engineering, having authored 10 papers that have together received 330 indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (5 papers), Enzyme Structure and Function (2 papers), Ubiquitin and proteasome pathways (1 paper), Heat shock proteins research (1 paper), Protein Structure and Dynamics (1 paper), Chemical Synthesis and Analysis (1 paper), RNA Research and Splicing (1 paper) and Bacterial Genetics and Biotechnology (1 paper). The work is most often cited by research in Molecular Biology (267 citations), Spectroscopy (27 citations), Hematology (14 citations), Cancer Research (8 citations) and Biophysics (4 citations). Daniel Mayer has collaborated with scholars based in Switzerland, United Kingdom and United States. Frequent co-authors include Dmitry B. Veprintsev, Gebhard F. X. Schertler, Joerg Standfuss, Xavier Deupí, Tilman Flock, Dawei Sun, Assaf Friedler, Mattan Hurevich, Ziva Vuckovic and Fred Franz Damberger. Their work appears in journals such as Nature Communications, Nature Structural & Molecular Biology, PLoS ONE, Organic & Biomolecular Chemistry and eLife.
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.