Daoyuan Huang
- Physiology top 2%
- Molecular Biology top 10%
- Cellular and Molecular Neuroscience top 5%
- Psychiatry and Mental health top 5%
- Pharmacology top 5%
- Co-authors
- Allen D. RosesLi DongAnn M. SaundersWarren J. StrittmatterD. E. SchmechelKarl H. WeisgraberGuy S. SalvesenMargaret A. Pericak‐Vance
- Topics
- Ubiquitin and proteasome pathways (6 papers)Epigenetics and DNA Methylation (6 papers)Protein Degradation and Inhibitors (4 papers)
- Cited by
- PhysiologyAgingNeurology
- Journals
- Proceedings of the National Academy of SciencesJournal of the American Chemical SocietyNucleic Acids Research
- Partner nations
- ChinaUnited StatesIndia
In The Last Decade
Daoyuan Huang
28 papers receiving 2.0k citations
Hit Papers
Peers
Comparison fields: 5 of 110
- Physiology 1.3k
- Molecular Biology 930
- Cellular and Molecular Neuroscience 270
- Psychiatry and Mental health 263
- Pharmacology 237
Countries citing papers authored by Daoyuan Huang
This map shows the geographic impact of Daoyuan Huang'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 Daoyuan Huang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daoyuan Huang more than expected).
Fields of papers citing papers by Daoyuan Huang
This network shows the impact of papers produced by Daoyuan Huang. 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 Daoyuan Huang. The network helps show where Daoyuan Huang may publish in the future.
Co-authorship network of co-authors of Daoyuan Huang
This figure shows the co-authorship network connecting the top 25 collaborators of Daoyuan Huang. A scholar is included among the top collaborators of Daoyuan Huang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Daoyuan Huang. Daoyuan Huang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 2 | |
| 3 | 1 | |
| 4 | 5 | |
| 5 | 3 | |
| 6 | 0 | |
| 7 | 7 | |
| 8 | 19 | |
| 9 | 10 | |
| 10 | 7 | |
| 11 | 42 | |
| 12 | 9 | |
| 13 | 27 | |
| 14 | 40 | |
| 15 | 57 | |
| 16 | 25 | |
| 17 | 17 | |
| 18 | 20 | |
| 19 | 74 | |
| 20 | 55 |
About Daoyuan Huang
Daoyuan Huang is a scholar working on Aging, Geriatrics and Gerontology and Molecular Biology, having authored 30 papers that have together received 2.1k indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (6 papers), Epigenetics and DNA Methylation (6 papers) and Protein Degradation and Inhibitors (4 papers). The work is most often cited by research in Physiology (1.3k citations), Aging (50 citations) and Neurology (203 citations). Daoyuan Huang has collaborated with scholars based in China, United States and India. Frequent co-authors include Allen D. Roses, Li Dong, Ann M. Saunders, Warren J. Strittmatter, D. E. Schmechel, Karl H. Weisgraber, Guy S. Salvesen, Margaret A. Pericak‐Vance, Dmitry Goldgaber and Jeffery M. Vance. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Nucleic Acids Research.
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.