Danny D. Sahtoe
Impact in
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- Ubiquitin and proteasome pathways
- Epigenetics and DNA Methylation
- DNA Repair Mechanisms
- Genomics and Chromatin Dynamics
- Protein Structure and Dynamics
Papers in
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- Ubiquitin and proteasome pathways 5
- Protein Structure and Dynamics 3
- Glycosylation and Glycoproteins Research 2
- RNA and protein synthesis mechanisms 2
- Oncology 5
- Peptidase Inhibition and Analysis 4
- Co-authors
- Titia K. Sixma (5 shared papers)Willem J. van Dijk (4 shared papers)Reggy Ekkebus (2 shared papers)Huib Ovaa (2 shared papers)Farid El Oualid (1 shared paper)Michael Uckelmann (1 shared paper)Francesca Mattiroli (1 shared paper)David Baker (6 shared papers)
- Journals
- Proceedings of the National Academy of Sciences (4 papers)Nature Communications (2 papers)Molecular Cell (1 paper)Science (1 paper)Trends in Biochemical Sciences (1 paper)
- Partner nations
- United StatesNetherlandsCanada
In The Last Decade
Danny D. Sahtoe
11 papers receiving 687 citations
Danny D. Sahtoe's Hit Papers
Peers
Comparison fields: 5 of 70
- Molecular Biology 585
- Structural Biology 12
- Oncology 134
- Cell Biology 79
- Genetics 75
Countries citing papers authored by Danny D. Sahtoe
This map shows the geographic impact of Danny D. Sahtoe'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 Danny D. Sahtoe with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Danny D. Sahtoe more than expected).
Fields of papers citing papers by Danny D. Sahtoe
This network shows the impact of papers produced by Danny D. Sahtoe. 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 Danny D. Sahtoe. The network helps show where Danny D. Sahtoe may publish in the future.
Co-authors
The 25 scholars most cited alongside Danny D. Sahtoe, 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 | 2016 | 153 | |
| 2 | 2015 | 108 | |
| 3 | 2015 | 102 | |
| 4 | 2011 | 90 | |
| 5 | 2014 | 80 | |
| 6 | 2022 | 38 | |
| 7 | De novo design of modular protein hydrogels with programmable intra- and extracellular viscoelasticity Hit paper breakdown → | 2024 | 36 |
| 8 | 2021 | 28 | |
| 9 | 2021 | 23 | |
| 10 | 2024 | 20 | |
| 11 | 2023 | 15 |
About Danny D. Sahtoe
Danny D. Sahtoe is a scholar working on Molecular Biology, Oncology, Cell Biology, Structural Biology and Pulmonary and Respiratory Medicine, having authored 11 papers that have together received 693 indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (5 papers), Peptidase Inhibition and Analysis (4 papers), Protein Structure and Dynamics (3 papers), Glycosylation and Glycoproteins Research (2 papers), RNA and protein synthesis mechanisms (2 papers), Alzheimer's disease research and treatments (1 paper), Blood properties and coagulation (1 paper) and Genetics and Neurodevelopmental Disorders (1 paper). The work is most often cited by research in Molecular Biology (585 citations), Structural Biology (12 citations), Oncology (134 citations), Cell Biology (79 citations) and Genetics (75 citations). Danny D. Sahtoe has collaborated with scholars based in United States, Netherlands and Canada. Frequent co-authors include Titia K. Sixma, Willem J. van Dijk, Reggy Ekkebus, Huib Ovaa, Farid El Oualid, Michael Uckelmann, Francesca Mattiroli, David Baker, Evangelos Christodoulou and Yang Hsia. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications, Molecular Cell, Science and Trends in Biochemical Sciences.
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.