Yingrui Fan

574 total citations
12 papers, 419 citations indexed

About

Yingrui Fan is a scholar working on Cancer Research, Molecular Biology and Pathology and Forensic Medicine. According to data from OpenAlex, Yingrui Fan has authored 12 papers receiving a total of 419 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Cancer Research, 7 papers in Molecular Biology and 2 papers in Pathology and Forensic Medicine. Recurrent topics in Yingrui Fan's work include Cancer-related molecular mechanisms research (6 papers), RNA modifications and cancer (5 papers) and Cancer, Lipids, and Metabolism (2 papers). Yingrui Fan is often cited by papers focused on Cancer-related molecular mechanisms research (6 papers), RNA modifications and cancer (5 papers) and Cancer, Lipids, and Metabolism (2 papers). Yingrui Fan collaborates with scholars based in China and Hong Kong. Yingrui Fan's co-authors include Hao Ji, Yong-Guo Shi, Yifan Lian, Keming Wang, Li Wang, Yongqian Shu, Yun Tian, Yangchen Liu, Juan Li and Zhaoxia Wang and has published in prestigious journals such as PLoS ONE, Nutrients and Molecular Cancer.

In The Last Decade

Yingrui Fan

11 papers receiving 414 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Yingrui Fan China 9 368 314 61 43 39 12 419
Ti‐Dong Shan China 10 198 0.5× 230 0.7× 38 0.6× 48 1.1× 30 0.8× 16 304
Guokai Pan China 8 250 0.7× 335 1.1× 27 0.4× 49 1.1× 39 1.0× 10 432
Weiqin Wu China 4 573 1.6× 577 1.8× 55 0.9× 33 0.8× 37 0.9× 6 639
Qinliang Fang China 10 252 0.7× 356 1.1× 54 0.9× 62 1.4× 22 0.6× 15 442
Hanyu Ma China 7 283 0.8× 284 0.9× 31 0.5× 34 0.8× 27 0.7× 14 383
Chongguo Zhang China 7 366 1.0× 414 1.3× 34 0.6× 35 0.8× 43 1.1× 8 474
Guozhi Yin China 13 236 0.6× 275 0.9× 18 0.3× 58 1.3× 41 1.1× 19 371
Kwang Bog Cho United States 5 430 1.2× 428 1.4× 63 1.0× 42 1.0× 15 0.4× 8 533

Countries citing papers authored by Yingrui Fan

Since Specialization
Citations

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

Fields of papers citing papers by Yingrui Fan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yingrui Fan

This figure shows the co-authorship network connecting the top 25 collaborators of Yingrui Fan. A scholar is included among the top collaborators of Yingrui Fan 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 Yingrui Fan. Yingrui Fan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

12 of 12 papers shown
1.
2.
Li, Li, et al.. (2022). Gene signature to predict prognostic survival of hepatocellular carcinoma. Open Medicine. 17(1). 135–150. 10 indexed citations
3.
Li, Rong, et al.. (2022). METTL7B serves as a prognostic biomarker and promotes metastasis of lung adenocarcinoma cells. Annals of Translational Medicine. 10(16). 895–895. 8 indexed citations
4.
Dong, Shaowei, Rong Li, Zhiqiang Cheng, et al.. (2021). Mutational Pattern in Multiple Pulmonary Nodules Are Associated With Early Stage Lung Adenocarcinoma. Frontiers in Oncology. 10. 571521–571521.
5.
Fan, Yingrui, et al.. (2020). LncRNA PTENP1 inhibits cervical cancer progression by suppressing miR-106b. Artificial Cells Nanomedicine and Biotechnology. 48(1). 393–407. 66 indexed citations
6.
Fan, Yingrui, et al.. (2019). Clinical value of plasma cfDNA concentration and integrity in breast cancer patients. Cellular and Molecular Biology. 65(6). 64–72. 18 indexed citations
7.
Tian, Yun, Keming Wang, Yingrui Fan, et al.. (2016). Chemopreventive Effect of Dietary Glutamineon Colitis-Associated Colorectal Cancer Is Associated with Modulation of the DEPTOR/mTOR Signaling Pathway. Nutrients. 8(5). 261–261. 10 indexed citations
8.
Shi, Yong-Guo, Juan Li, Yangchen Liu, et al.. (2015). The long noncoding RNA SPRY4-IT1 increases the proliferation of human breast cancer cells by upregulating ZNF703 expression. Molecular Cancer. 14(1). 51–51. 137 indexed citations
9.
Lian, Yifan, Hao Ji, Zhihong Zhang, et al.. (2015). The long noncoding RNA HOXA transcript at the distal tip promotes colorectal cancer growth partially via silencing of p21 expression. Tumor Biology. 37(6). 7431–7440. 47 indexed citations
10.
Wang, Ke‐Ming, Juan Li, Jirong Wang, et al.. (2015). The association between serum lipids and colorectal neoplasm: a systemic review and meta-analysis. Public Health Nutrition. 18(18). 3355–3370. 47 indexed citations
11.
Ji, Hao, Binbin Lu, Jianping Wang, et al.. (2015). Long non-coding RNA Loc554202 induces apoptosis in colorectal cancer cells via the caspase cleavage cascades. Journal of Experimental & Clinical Cancer Research. 34(1). 100–100. 65 indexed citations
12.
Wang, Jirong, Ying Ye, Liqun Sun, et al.. (2014). Apolipoprotein E Polymorphism and Colorectal Neoplasm: Results from a Meta-Analysis. PLoS ONE. 9(7). e102477–e102477. 10 indexed citations

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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