Weixing Dai

4.4k citations
111 papers · 2.8k indexed · h-index 32
Topics
Colorectal Cancer Surgical Treatments (20 papers)Colorectal Cancer Treatments and Studies (17 papers)Genetic factors in colorectal cancer (16 papers)
Journals
Nature CommunicationsSHILAP Revista de lepidopterologíaCancer Research

In The Last Decade

Weixing Dai

109 papers receiving 2.8k citations

Peers

Weixing Dai
Comparison fields: 5 of 123
  • Molecular Biology 1.2k
  • Oncology 1.0k
  • Cancer Research 638
  • Pulmonary and Respiratory Medicine 512
  • Radiology, Nuclear Medicine and Imaging 362
Replace Na Han with:
Na Han China
Huafeng Kang China
Yao Shen United States
Qibiao Wu Macao
Akira Tangoku Japan
Mohamed A. Elkablawy Saudi Arabia
Antoinette Lemoine France
Khawla S. Al‐Kuraya Saudi Arabia
Zhi-Wei Zhou China
In Ja Park South Korea
Weixing Dai relative to Na Han China Na Han's profile →
Citations per field
00.5×
Na Han · 1×
Citations per year

Countries citing papers authored by Weixing Dai

Since Specialization
Citations

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

Fields of papers citing papers by Weixing Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Weixing Dai

This figure shows the co-authorship network connecting the top 25 collaborators of Weixing Dai. A scholar is included among the top collaborators of Weixing Dai 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 Weixing Dai. Weixing Dai 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 0
2 1
3 6
4 3
5 6
6 3
7 2
8 6
9 69
10 28
11 31
12 90
13
[Trend analysis of morbidity and mortality of colorectal cancer in China from 1988 to 2009].
3
14 14
15 21
16
[Can the weekday of surgery influence the prognosis of colorectal cancer patients? A retrospective study based on a single-center of large sample].
1
17 30
18 3
19 38
20 24

About Weixing Dai

Weixing Dai is a scholar working on Oncology, Complementary and alternative medicine and Cancer Research, having authored 111 papers that have together received 2.8k indexed citations. Recurring topics across this work include Colorectal Cancer Surgical Treatments (20 papers), Colorectal Cancer Treatments and Studies (17 papers) and Genetic factors in colorectal cancer (16 papers). The work is most often cited by research in Cancer Research (638 citations), Oncology (1.0k citations) and Complementary and alternative medicine (265 citations). Weixing Dai has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Ye Xu, Guoxiang Cai, Weidong Zhang, Wenqiang Xiang, Renjie Wang, Qingguo Li, Lingyu Han, Shaobo Mo, Shikai Yan and Sanjun Cai. Their work appears in journals such as Nature Communications, SHILAP Revista de lepidopterología and Cancer Research.

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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