Daxun Piao

1.1k citations
25 papers · 783 indexed · h-index 16
Topics
Cancer-related molecular mechanisms research (4 papers)Ubiquitin and proteasome pathways (3 papers)Cancer Mechanisms and Therapy (2 papers)
Partner nations
ChinaUnited States

In The Last Decade

Daxun Piao

25 papers receiving 777 citations

Peers

Daxun Piao
Comparison fields: 5 of 80
  • Molecular Biology 482
  • Cancer Research 229
  • Pathology and Forensic Medicine 147
  • Immunology 142
  • Oncology 134
Replace Valentina Bevelacqua with:
Valentina Bevelacqua Italy
Ying Tian China
Kawin Leelawat Thailand
Venkatesh V. Nemmara United States
Lorraine A. Chantrill Australia
Raffaella DeFranco Italy
Erin E. Childs United States
Saeed Aslani Iran
Mihaela Ignat France
Jigang Dai China
Daxun Piao relative to Valentina Bevelacqua Italy Valentina Bevelacqua's profile →
Citations per field
00.5×4.5×
Valentina Bevelacqua · 1×
Citations per year

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

20 of 20 papers shown
#WorkIndexed citations
1 16
2 14
3 89
4 9
5 39
6 8
7 16
8 23
9 13
10 71
11 68
12 83
13 22
14 11
15 38
16 25
17 26
18
[Analysis of clinical characteristics of gastrointestinal cancer in Heilongjiang province, China 1998 to 2007].
1
19 3
20
Continuous regional chemotherapy using arsenic trioxide for primary hepatic carcinoma
1

About Daxun Piao

Daxun Piao is a scholar working on Cancer Research, Transplantation and Gastroenterology, having authored 25 papers that have together received 783 indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (4 papers), Ubiquitin and proteasome pathways (3 papers) and Cancer Mechanisms and Therapy (2 papers). The work is most often cited by research in Cancer Research (229 citations), Pathology and Forensic Medicine (147 citations) and Molecular Biology (482 citations). Daxun Piao has collaborated with scholars based in China and United States. Frequent co-authors include Yuekun Zhu, Tao Jiang, Yanwei Xing, Tiemin Zhang, Chengbo Wang, Yayan Bi, Junjie Kou, Jialan Shi, Qingxin Zhou and Liangliang Zhao. Their work appears in journals such as PLoS ONE, Scientific Reports and Cell Death and Differentiation.

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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