Daoyuan Huang

34 total papers · 2.8k total citations
30 papers, 2.1k citations indexed

About

Daoyuan Huang is a scholar working on Molecular Biology, Physiology and Oncology. According to data from OpenAlex, Daoyuan Huang has authored 30 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 7 papers in Physiology and 5 papers in Oncology. Recurrent topics in Daoyuan Huang's work include Epigenetics and DNA Methylation (6 papers), Ubiquitin and proteasome pathways (6 papers) and Protein Degradation and Inhibitors (4 papers). Daoyuan Huang is often cited by papers focused on Epigenetics and DNA Methylation (6 papers), Ubiquitin and proteasome pathways (6 papers) and Protein Degradation and Inhibitors (4 papers). Daoyuan Huang collaborates with scholars based in China, United States and Taiwan. Daoyuan Huang's co-authors include Ann M. Saunders, Li Dong, Warren J. Strittmatter, Allen D. Roses, D. E. Schmechel, Karl H. Weisgraber, Guy S. Salvesen, Dmitry Goldgaber, Margaret A. Pericak‐Vance and Ross Jakes and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Nucleic Acids Research.

In The Last Decade

Daoyuan Huang

27 papers receiving 2.0k citations

Hit Papers

Binding of human apolipop... 1993 2026 2004 2015 1993 250 500 750 1000

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Daoyuan Huang 1.3k 920 270 262 237 30 2.1k
Hyejin Yoon 993 0.8× 1.2k 1.3× 427 1.6× 145 0.6× 210 0.9× 27 2.4k
Britto P. Nathan 1.0k 0.8× 760 0.8× 486 1.8× 179 0.7× 191 0.8× 32 2.0k
Brian M. Bennett 1.2k 1.0× 837 0.9× 199 0.7× 103 0.4× 180 0.8× 100 2.5k
Xiaodong Pan 647 0.5× 730 0.8× 276 1.0× 55 0.2× 184 0.8× 94 2.0k
Basavaraj Hooli 1.2k 0.9× 975 1.1× 432 1.6× 109 0.4× 195 0.8× 17 2.3k
Patrizia Formichi 444 0.3× 792 0.9× 220 0.8× 84 0.3× 133 0.6× 41 1.7k
June Kaplow 886 0.7× 1.3k 1.4× 171 0.6× 319 1.2× 397 1.7× 46 2.4k
Mirjana Babić Leko 726 0.6× 466 0.5× 213 0.8× 183 0.7× 234 1.0× 45 1.6k
Shigeru Tanaka 309 0.2× 918 1.0× 575 2.1× 44 0.2× 165 0.7× 86 2.1k
Qunxing Ding 719 0.6× 1.4k 1.5× 304 1.1× 52 0.2× 137 0.6× 32 2.3k

Countries citing papers authored by Daoyuan Huang

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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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.

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