Yun Xu

525 citations
33 papers · 341 · h-index 10

Impact in

    • Colorectal Cancer Surgical Treatments
    • Colorectal Cancer Screening and Detection
    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research

Papers in

    • Colorectal Cancer Treatments and Studies 4
    • Colorectal Cancer Surgical Treatments 3
    • Cancer survivorship and care 2
    • Pancreatic and Hepatic Oncology Research 1
    • Genetic factors in colorectal cancer 5

Yun Xu

31 papers receiving 336 citations

Peers

Yun Xu
Comparison fields: 5 of 58
  • Oncology 121
  • Cancer Research 43
  • Complementary and alternative medicine 21
  • Pathology and Forensic Medicine 39
  • Pharmacology 13
Replace Arunima Datta with:
Arunima Datta United States
Ying Luo China
Raman Preet Kaur India
Pranav Pandya India
Yifan Gu China
Wenyuan Li China
Shujun Fan China
Mahasti Saghatchian France
Yun Xu relative to Arunima Datta United States Arunima Datta's profile →
Citations per field
00.5×4.2×
Arunima Datta · 1×
Citations per year

Countries citing papers authored by Yun Xu

Since Specialization
Citations

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

Fields of papers citing papers by Yun Xu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Yun Xu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Yun Xu Line = papers co-authored together Yun Xu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201743
2 202041
3 201040
4 201332
5 200827
6 202027
7 202124
8 202116
9 201611
10 202111
11 20219
12 20209
13 20216
14 20236
15 20205
16 20215
17 20094
18 20214
19 20223
20 20213

About Yun Xu

Yun Xu is a scholar working on Oncology, Pathology and Forensic Medicine, Molecular Biology, Surgery and Complementary and alternative medicine, having authored 33 papers that have together received 341 indexed citations. Recurring topics across this work include Genetic factors in colorectal cancer (5 papers), Colorectal Cancer Treatments and Studies (4 papers), Colorectal Cancer Surgical Treatments (3 papers), Cancer Genomics and Diagnostics (2 papers), Traditional Chinese Medicine Studies (2 papers), Cancer survivorship and care (2 papers), Colorectal and Anal Carcinomas (2 papers) and Pancreatic and Hepatic Oncology Research (1 paper). The work is most often cited by research in Oncology (121 citations), Cancer Research (43 citations), Complementary and alternative medicine (21 citations), Pathology and Forensic Medicine (39 citations) and Pharmacology (13 citations). Yun Xu has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Jingting Jiang, Lingyun Sun, Weiqi Sheng, Bin Xu, Jun J. Mao, Songwang Cai, Guoxiang Cai, Yufei Yang, Lorenzo Cohen and Junjie Peng. Their work appears in journals such as Chinese Journal of Integrative Medicine, Frontiers in Oncology, Integrative Cancer Therapies, Cochrane Database of Systematic Reviews and Colorectal Disease.

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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