Fan Yao

4.5k total citations · 1 hit paper
99 papers, 2.8k citations indexed

About

Fan Yao is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Fan Yao has authored 99 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 56 papers in Molecular Biology, 23 papers in Oncology and 22 papers in Cancer Research. Recurrent topics in Fan Yao's work include Epigenetics and DNA Methylation (16 papers), Ubiquitin and proteasome pathways (9 papers) and RNA modifications and cancer (8 papers). Fan Yao is often cited by papers focused on Epigenetics and DNA Methylation (16 papers), Ubiquitin and proteasome pathways (9 papers) and RNA modifications and cancer (8 papers). Fan Yao collaborates with scholars based in China, United States and Japan. Fan Yao's co-authors include Li Ma, Yutong Sun, Zhenna Xiao, Jongchan Kim, Han Liang, Yumeng Wang, Xiaoyun Mao, Mien‐Chie Hung, Shinichi Nakagawa and Matthew J. Ellis and has published in prestigious journals such as Nature Communications, Nature Genetics and PLoS ONE.

In The Last Decade

Fan Yao

95 papers receiving 2.8k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Long noncoding RNA MALAT1 suppresses breast cancer metastasis

2018 546 citations Jongchan Kim, Hai-long Piao et al. Nature Genetics profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Fan Yao China	27	1.7k	1.1k	570	269	221	99	2.8k
Jorge Meléndez-Zajgla Mexico	28	1.5k 0.9×	897 0.8×	582 1.0×	264 1.0×	299 1.4×	123	2.5k
Qian Zhao China	31	2.4k 1.4×	1.6k 1.5×	450 0.8×	264 1.0×	233 1.1×	110	3.4k
Ping Yang China	32	1.8k 1.1×	1.4k 1.3×	492 0.9×	325 1.2×	356 1.6×	159	3.3k
Rong Cong China	21	1.3k 0.8×	726 0.7×	417 0.7×	411 1.5×	218 1.0×	92	2.4k
Wei Zhao China	33	2.2k 1.3×	1.6k 1.5×	314 0.6×	271 1.0×	253 1.1×	143	3.2k
Gregory S. Ducker United States	17	2.1k 1.2×	763 0.7×	277 0.5×	284 1.1×	143 0.6×	29	3.2k
Aaron D. Tward United States	23	1.6k 0.9×	762 0.7×	631 1.1×	370 1.4×	228 1.0×	40	3.4k
Li Zhao China	30	2.4k 1.4×	1.1k 1.0×	644 1.1×	368 1.4×	298 1.3×	103	3.8k
Xin He China	31	1.6k 0.9×	698 0.7×	299 0.5×	272 1.0×	250 1.1×	103	3.1k
Patrick Viatour United States	21	1.9k 1.1×	1.0k 0.9×	709 1.2×	720 2.7×	186 0.8×	27	3.2k

Countries citing papers authored by Fan Yao

Since Specialization

Citations

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

Fields of papers citing papers by Fan Yao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fan Yao

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Ma, Yutong, Xiang Yu, Long Wan, et al.. (2025). Mechanism and application prospect of magnesium-based materials in cancer treatment. Journal of Magnesium and Alloys. 13(3). 982–1011. 2 indexed citations

2.

Deng, Yalan, Zilong Zhao, Yang Zhao, et al.. (2024). LIFR regulates cholesterol-driven bidirectional hepatocyte–neutrophil cross-talk to promote liver regeneration. Nature Metabolism. 6(9). 1756–1774. 7 indexed citations

3.

Zhao, Yang, Hongqi Teng, Yalan Deng, et al.. (2024). Long noncoding RNA Malat1 protects against osteoporosis and bone metastasis. Nature Communications. 15(1). 2384–2384. 27 indexed citations

4.

Yao, Fan, et al.. (2023). Artificial selection of the Green Revolution gene Semidwarf 1 is implicated in upland rice breeding. Journal of Integrative Agriculture. 23(3). 769–780.

5.

Chen, Yang, et al.. (2023). ChIP-Seq analysis reveals PRKACB as a target gene of HOXC13 involved in rabbit hair follicle development. Gene. 893. 147946–147946.

6.

Shen, Shuangqian, Shouchuang Wang, Chenkun Yang, et al.. (2023). Elucidation of the melitidin biosynthesis pathway in pummelo. Journal of Integrative Plant Biology. 65(11). 2505–2518. 14 indexed citations

7.

Sun, Yutong, et al.. (2023). Role of Glucose Metabolic Reprogramming in Breast Cancer Progression and Drug Resistance. Cancers. 15(13). 3390–3390. 26 indexed citations

8.

Yao, Yinan, et al.. (2022). Ferroptosis at the crossroads of tumor-host interactions, metastasis, and therapy response. American Journal of Physiology-Cell Physiology. 323(1). C95–C103. 17 indexed citations

9.

Yao, Fan, Yang Zhao, & Li Ma. (2022). LIF-ting ferroptosis to improve liver cancer therapy. Genes & Diseases. 9(5). 1153–1155. 4 indexed citations

10.

Zhong, Liqiao, et al.. (2022). Sulfide Treatment Alters Antioxidant Response and Related Genes Expressions in Rice Field Eel (Monopterus albus). Water. 14(20). 3230–3230. 1 indexed citations

11.

Zhong, Liqiao, Lu-Yin Wu, Nian Wei, et al.. (2022). Thyroid-Disrupting Effects of Cadmium and Mercury in Zebrafish Embryos/Larvae. Water. 15(1). 135–135. 2 indexed citations

12.

Chen, Yujie, et al.. (2022). Immunotherapeutic Approaches for Treating Hepatocellular Carcinoma. Cancers. 14(20). 5013–5013. 16 indexed citations

13.

Zhong, Liqiao, Lu-Yin Wu, Nian Wei, et al.. (2022). Copper and Zinc Treatments Alter the Thyroid Endocrine System in Zebrafish Embryos/Larvae. Toxics. 10(12). 756–756. 10 indexed citations

14.

Hang, Qinglei, Liyong Zeng, Li Wang, et al.. (2021). Non-canonical function of DGCR8 in DNA double-strand break repair signaling and tumor radioresistance. Nature Communications. 12(1). 4033–4033. 17 indexed citations

15.

Deng, Yalan, Xianghou Xia, Yang Zhao, et al.. (2021). Glucocorticoid receptor regulates PD-L1 and MHC-I in pancreatic cancer cells to promote immune evasion and immunotherapy resistance. Nature Communications. 12(1). 7041–7041. 84 indexed citations

16.

Zhao, Yang, et al.. (2020). Challenges and Strategies in Ascribing Functions to Long Noncoding RNAs. Cancers. 12(6). 1458–1458. 41 indexed citations

17.

Wu, Lu-Yin, et al.. (2019). Parental exposure to 2,2′,4,4′5 - pentain polybrominated diphenyl ethers (BDE-99) causes thyroid disruption and developmental toxicity in zebrafish. Toxicology and Applied Pharmacology. 372. 11–18. 34 indexed citations

18.

Yao, Fan, Zhicheng Zhou, Jongchan Kim, et al.. (2018). SKP2- and OTUD1-regulated non-proteolytic ubiquitination of YAP promotes YAP nuclear localization and activity. Nature Communications. 9(1). 2269–2269. 138 indexed citations

19.

Kim, Jongchan, Hai-long Piao, Beom‐Jun Kim, et al.. (2018). Long noncoding RNA MALAT1 suppresses breast cancer metastasis. Nature Genetics. 50(12). 1705–1715. 546 indexed citations breakdown →

20.

Li, Beibei, et al.. (2011). Predictive role of molecular subtypes in response to neoadjuvant chemotherapy in breast cancer patients in Northeast China.. PubMed. 12(9). 2411–7. 30 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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