Dahong Yao

68 total papers · 1.6k total citations
58 papers, 1.2k citations indexed

About

Dahong Yao is a scholar working on Molecular Biology, Oncology and Organic Chemistry. According to data from OpenAlex, Dahong Yao has authored 58 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Molecular Biology, 10 papers in Oncology and 7 papers in Organic Chemistry. Recurrent topics in Dahong Yao's work include Protein Degradation and Inhibitors (8 papers), Histone Deacetylase Inhibitors Research (7 papers) and Ubiquitin and proteasome pathways (5 papers). Dahong Yao is often cited by papers focused on Protein Degradation and Inhibitors (8 papers), Histone Deacetylase Inhibitors Research (7 papers) and Ubiquitin and proteasome pathways (5 papers). Dahong Yao collaborates with scholars based in China, Macao and United States. Dahong Yao's co-authors include Jinhui Wang, Zhendan He, Jian Huang, Jin Zhang, Liang Ouyang, Leilei Fu, Jian Huang, Lan Zhang, Chenyang Li and Yuqian Zhao and has published in prestigious journals such as Angewandte Chemie International Edition, Analytical Chemistry and Scientific Reports.

In The Last Decade

Dahong Yao

55 papers receiving 1.1k citations

Hit Papers

Targeting the Warburg eff... 2023 2026 2024 2023 25 50 75

Author Peers

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

Author Last Decade Papers Cites
Dahong Yao 632 180 154 140 131 58 1.2k
Yali Wang 614 1.0× 91 0.5× 179 1.2× 186 1.3× 98 0.7× 75 1.3k
Feifei Yang 740 1.2× 292 1.6× 166 1.1× 231 1.6× 189 1.4× 79 1.5k
Wenyu Wu 460 0.7× 168 0.9× 99 0.6× 107 0.8× 114 0.9× 62 1.1k
Rajesh K. Grover 699 1.1× 166 0.9× 80 0.5× 126 0.9× 117 0.9× 49 1.5k
Simon Wing Fai Mok 594 0.9× 160 0.9× 171 1.1× 203 1.4× 91 0.7× 35 1.0k
Joanna Jakubowicz-Gil 561 0.9× 145 0.8× 88 0.6× 134 1.0× 104 0.8× 55 1.0k
Dejuan Sun 749 1.2× 183 1.0× 181 1.2× 171 1.2× 101 0.8× 73 1.3k
Nana Zhang 640 1.0× 125 0.7× 122 0.8× 119 0.8× 187 1.4× 59 1.3k
Gul-e-Saba Chaudhry 563 0.9× 216 1.2× 58 0.4× 217 1.6× 136 1.0× 44 1.2k
Xing Xu 635 1.0× 108 0.6× 69 0.4× 208 1.5× 123 0.9× 62 1.2k

Countries citing papers authored by Dahong Yao

Since Specialization
Citations

This map shows the geographic impact of Dahong Yao'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 Dahong Yao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dahong Yao more than expected).

Fields of papers citing papers by Dahong Yao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dahong Yao. 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 Dahong Yao. The network helps show where Dahong Yao may publish in the future.

Co-authorship network of co-authors of Dahong Yao

This figure shows the co-authorship network connecting the top 25 collaborators of Dahong Yao. A scholar is included among the top collaborators of Dahong Yao 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 Dahong Yao. Dahong Yao 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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