Yun Fu

473 total citations
23 papers, 346 citations indexed

About

Yun Fu is a scholar working on Cancer Research, Surgery and Pathology and Forensic Medicine. According to data from OpenAlex, Yun Fu has authored 23 papers receiving a total of 346 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Cancer Research, 5 papers in Surgery and 5 papers in Pathology and Forensic Medicine. Recurrent topics in Yun Fu's work include Breast Cancer Treatment Studies (4 papers), Endometrial and Cervical Cancer Treatments (3 papers) and Tumors and Oncological Cases (2 papers). Yun Fu is often cited by papers focused on Breast Cancer Treatment Studies (4 papers), Endometrial and Cervical Cancer Treatments (3 papers) and Tumors and Oncological Cases (2 papers). Yun Fu collaborates with scholars based in China, United States and Taiwan. Yun Fu's co-authors include Zhigang Zhuang, John D. Crissman, Sophia K. Apple, Helena R. Chang, Robert E. Bristow, Beth Y. Karlan, Yijing Wang, Jing Hua, Li Zhu and Yuanyuan Tan and has published in prestigious journals such as Journal of Clinical Oncology, PLoS ONE and Journal of Allergy and Clinical Immunology.

In The Last Decade

Yun Fu

23 papers receiving 334 citations

Peers

Yun Fu
Comparison fields: 5 of 62
  • Surgery 78
  • Obstetrics and Gynecology 75
  • Cancer Research 72
  • Reproductive Medicine 71
  • Epidemiology 62
Replace Małgorzata Walentowicz‐Sadlecka with:
Małgorzata Walentowicz‐Sadlecka Poland
David F. Silver United States
M. J. Merino United States
Angel Yordanov Bulgaria
Maxime Fastrez Belgium
Ju‐Yoon Yoon Canada
Rohyun Sung South Korea
Veronica Schimp United States
Masahito Mizuuchi Japan
Cornelia Bachmann Germany
Małgorzata Walentowicz‐Sadlecka Poland View profile →
Citations per field, relative to Yun Fu
Yun Fu · 1×
Citations per year, relative to Yun Fu
Yun Fu · 1×

Countries citing papers authored by Yun Fu

Since Specialization
Citations

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

Fields of papers citing papers by Yun Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yun Fu

This figure shows the co-authorship network connecting the top 25 collaborators of Yun Fu. A scholar is included among the top collaborators of Yun Fu 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 Yun Fu. Yun Fu 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
# Work Indexed citations
1 1
2 1
3 2
4 1
5 2
6 30
7 6
8 7
9 1
10 44
11 33
12 1
13
Long-term effects of levonorgestrel-releasing intrauterine system on tamoxifen-treated breast cancer patients: a meta-analysis.
17
14 41
15 20
16
Genistein Induces Apoptosis Through Upregulation of p53 Signaling Pathway
3
17 49
18 19
19 3
20 29

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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