Dakai Yang

25 total papers · 1.3k total citations
19 papers, 921 citations indexed

About

Dakai Yang is a scholar working on Molecular Biology, Cancer Research and Surgery. According to data from OpenAlex, Dakai Yang has authored 19 papers receiving a total of 921 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 5 papers in Cancer Research and 3 papers in Surgery. Recurrent topics in Dakai Yang's work include Extracellular vesicles in disease (5 papers), MicroRNA in disease regulation (4 papers) and Circular RNAs in diseases (3 papers). Dakai Yang is often cited by papers focused on Extracellular vesicles in disease (5 papers), MicroRNA in disease regulation (4 papers) and Circular RNAs in diseases (3 papers). Dakai Yang collaborates with scholars based in China, Germany and United States. Dakai Yang's co-authors include Hui Qian, Jing Liu, Qin Zhuang, Jing Liu, Wenrong Xu, Hui Qian, Tobias Cantz, Michael P. Manns, Qinggong Yuan and Asha Balakrishnan and has published in prestigious journals such as Nature Communications, ACS Nano and Cell stem cell.

In The Last Decade

Dakai Yang

18 papers receiving 917 citations

Hit Papers

Cancer-associated fibrobl... 2022 2026 2023 2024 2023 2022 50 100 150 200

Author Peers

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

Author Last Decade Papers Cites
Dakai Yang 450 205 169 154 144 19 921
Yuemeng Jia 731 1.6× 257 1.3× 116 0.7× 106 0.7× 164 1.1× 18 1.1k
Xiaolei Shi 498 1.1× 316 1.5× 99 0.6× 103 0.7× 135 0.9× 14 796
Jian Bai 370 0.8× 196 1.0× 143 0.8× 315 2.0× 115 0.8× 24 832
Wenwei Zhu 636 1.4× 417 2.0× 313 1.9× 228 1.5× 173 1.2× 19 1.1k
Detian Yuan 542 1.2× 133 0.6× 137 0.8× 84 0.5× 82 0.6× 17 849
Shentong Fang 466 1.0× 114 0.6× 259 1.5× 178 1.2× 56 0.4× 23 1.2k
Weijie Ye 368 0.8× 190 0.9× 133 0.8× 254 1.6× 77 0.5× 16 930
Renate Gay 393 0.9× 230 1.1× 161 1.0× 239 1.6× 70 0.5× 13 1.1k
Mary Drinane 407 0.9× 123 0.6× 69 0.4× 77 0.5× 179 1.2× 16 857
Chun-Chen Gao 397 0.9× 194 0.9× 146 0.9× 428 2.8× 149 1.0× 17 893

Countries citing papers authored by Dakai Yang

Since Specialization
Citations

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

Fields of papers citing papers by Dakai Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dakai Yang

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