Daxun Piao

33 total papers · 1.1k total citations
25 papers, 780 citations indexed

About

Daxun Piao is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Daxun Piao has authored 25 papers receiving a total of 780 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 7 papers in Oncology and 7 papers in Cancer Research. Recurrent topics in Daxun Piao's work include Cancer-related molecular mechanisms research (4 papers), Ubiquitin and proteasome pathways (3 papers) and Gastrointestinal Tumor Research and Treatment (2 papers). Daxun Piao is often cited by papers focused on Cancer-related molecular mechanisms research (4 papers), Ubiquitin and proteasome pathways (3 papers) and Gastrointestinal Tumor Research and Treatment (2 papers). Daxun Piao collaborates with scholars based in China and United States. Daxun Piao's co-authors include Yuekun Zhu, Tao Jiang, Yanwei Xing, Tiemin Zhang, Chengbo Wang, Jialan Shi, Junjie Kou, Yayan Bi, Qingxin Zhou and Liangliang Zhao and has published in prestigious journals such as PLoS ONE, Scientific Reports and Cell Death and Differentiation.

In The Last Decade

Daxun Piao

25 papers receiving 774 citations

Author Peers

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

Author						Papers	Cites
Daxun Piao	478	229	147	142	133	25	780
Xianzhi Meng	501 1.0×	243 1.1×	110 0.7×	95 0.7×	207 1.6×	28	858
Kiyoko Umene	392 0.8×	264 1.2×	108 0.7×	75 0.5×	107 0.8×	32	835
Fabrizio Galimberti	471 1.0×	202 0.9×	116 0.8×	147 1.0×	216 1.6×	44	898
Jingshu Geng	522 1.1×	196 0.9×	145 1.0×	76 0.5×	251 1.9×	40	875
Feng Peng	271 0.6×	207 0.9×	136 0.9×	117 0.8×	225 1.7×	32	764
Su Lu	536 1.1×	335 1.5×	72 0.5×	90 0.6×	157 1.2×	32	792
Haohai Zhang	370 0.8×	287 1.3×	67 0.5×	84 0.6×	199 1.5×	27	775
Chung-Ta Lee	417 0.9×	306 1.3×	81 0.6×	72 0.5×	196 1.5×	37	861
Lin Zhou	265 0.6×	204 0.9×	97 0.7×	150 1.1×	202 1.5×	28	830
Qiongfang Yu	386 0.8×	175 0.8×	54 0.4×	127 0.9×	139 1.0×	31	652

Countries citing papers authored by Daxun Piao

Since Specialization

Citations

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

Fields of papers citing papers by Daxun Piao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daxun Piao

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