Daniel King
Impact in
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- TGF-β signaling in diseases
- Bone Metabolism and Diseases
- Genomics and Chromatin Dynamics
- DNA Repair Mechanisms
- Fungal and yeast genetics research
- RNA and protein synthesis mechanisms
- Rheumatology top 10%
Papers in
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- Fungal and yeast genetics research 2
- TGF-β signaling in diseases 2
- Genomics and Chromatin Dynamics 2
- RNA and protein synthesis mechanisms 2
- DNA Repair Mechanisms 1
- Genetics 2
- Genomics and Rare Diseases 1
- Forensic and Genetic Research 1
- Co-authors
- Beth Bragdon (2 shared papers)Oleksandra Moseychuk (2 shared papers)Anja Nohe (2 shared papers)JoAnne Julian (1 shared paper)Zhang Li (2 shared papers)Nils O. Petersen (1 shared paper)Kira Young (1 shared paper)David W. Litchfield (1 shared paper)
- Journals
- The American Journal of Human Genetics (1 paper)Journal of Biological Chemistry (1 paper)Journal of the American Chemical Society (1 paper)Science (1 paper)Biophysical Journal (1 paper)
- Partner nations
- United StatesItalyFinland
In The Last Decade
Daniel King
9 papers receiving 810 citations
Daniel King's Hit Papers
Peers
Comparison fields: 5 of 93
- Molecular Biology 535
- Rheumatology 100
- Urology 33
- Genetics 52
- Developmental Neuroscience 16
Countries citing papers authored by Daniel King
This map shows the geographic impact of Daniel King'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 King with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel King more than expected).
Fields of papers citing papers by Daniel King
This network shows the impact of papers produced by Daniel King. 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 King. The network helps show where Daniel King may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel King, 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 | Bone Morphogenetic Proteins: A critical review Hit paper breakdown → | 2010 | 537 |
| 2 | 1999 | 82 | |
| 3 | 2018 | 62 | |
| 4 | 2010 | 55 | |
| 5 | 2006 | 31 | |
| 6 | 2023 | 28 | |
| 7 | 1999 | 25 | |
| 8 | 2023 | 4 | |
| 9 | 2024 | 1 |
About Daniel King
Daniel King is a scholar working on Molecular Biology, Genetics, Toxicology, Rheumatology and Cell Biology, having authored 9 papers that have together received 825 indexed citations. Recurring topics across this work include Fungal and yeast genetics research (2 papers), TGF-β signaling in diseases (2 papers), Genomics and Chromatin Dynamics (2 papers), RNA and protein synthesis mechanisms (2 papers), DNA Repair Mechanisms (1 paper), Genomics and Rare Diseases (1 paper), Forensic and Genetic Research (1 paper) and Bioactive Compounds and Antitumor Agents (1 paper). The work is most often cited by research in Molecular Biology (535 citations), Rheumatology (100 citations), Urology (33 citations), Genetics (52 citations) and Developmental Neuroscience (16 citations). Daniel King has collaborated with scholars based in United States, Italy and Finland. Frequent co-authors include Beth Bragdon, Oleksandra Moseychuk, Anja Nohe, JoAnne Julian, Zhang Li, Nils O. Petersen, Kira Young, David W. Litchfield, Marta Jiménez and Eric T. Kool. Their work appears in journals such as The American Journal of Human Genetics, Journal of Biological Chemistry, Journal of the American Chemical Society, Science and Biophysical Journal.
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.