Changying Fu

1.0k total citations · 1 hit paper
13 papers, 627 citations indexed

About

Changying Fu is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Changying Fu has authored 13 papers receiving a total of 627 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 5 papers in Oncology and 3 papers in Cancer Research. Recurrent topics in Changying Fu's work include Cancer-related gene regulation (4 papers), Advanced Proteomics Techniques and Applications (2 papers) and Epigenetics and DNA Methylation (2 papers). Changying Fu is often cited by papers focused on Cancer-related gene regulation (4 papers), Advanced Proteomics Techniques and Applications (2 papers) and Epigenetics and DNA Methylation (2 papers). Changying Fu collaborates with scholars based in China, United States and Hong Kong. Changying Fu's co-authors include Guo Chen, Zhe Han, Xinqi Liu, Liangwei Duan, Linbo Chen, Yuequan Shen, Du Feng, Changqian Zhou, Xiangyu Cai and Lei Liu and has published in prestigious journals such as Nature, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Changying Fu

13 papers receiving 621 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.

A Regulatory Signaling Loop Comprising the PGAM5 Phosphatase and CK2 Controls Receptor-Mediated Mitophagy

2014 463 citations Guo Chen, Zhe Han et al. Molecular Cell profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Changying Fu China	9	427	330	75	69	63	13	627
Chongzhuo Zhu China	5	554 1.3×	503 1.5×	87 1.2×	72 1.0×	129 2.0×	5	833
Jonathan P. Bernardini Australia	12	449 1.1×	208 0.6×	62 0.8×	93 1.3×	36 0.6×	13	614
Silvia Nerini‐Molteni Italy	10	282 0.7×	217 0.7×	130 1.7×	36 0.5×	73 1.2×	13	643
Logan P. Poole United States	5	318 0.7×	248 0.8×	52 0.7×	96 1.4×	22 0.3×	5	445
Stéphanie Herkenne Italy	10	623 1.5×	157 0.5×	161 2.1×	118 1.7×	114 1.8×	14	765
Khoosheh Khayati United States	8	234 0.5×	182 0.6×	54 0.7×	100 1.4×	65 1.0×	11	417
Karen Frudd United Kingdom	7	230 0.5×	166 0.5×	111 1.5×	96 1.4×	47 0.7×	8	467
Anbo Gao China	11	226 0.5×	115 0.3×	69 0.9×	70 1.0×	43 0.7×	19	407
Takeshi Tokuyama Japan	12	532 1.2×	173 0.5×	149 2.0×	61 0.9×	87 1.4×	23	704

Countries citing papers authored by Changying Fu

Since Specialization

Citations

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

Fields of papers citing papers by Changying Fu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Changying Fu

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

All Works

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13 of 13 papers shown

1.

Wang, Xi, Yize Mao, Yun Yang, et al.. (2024). Multimodal single cell-resolved spatial proteomics reveal pancreatic tumor heterogeneity. Nature Communications. 15(1). 10100–10100. 14 indexed citations

2.

Huang, Peiwu, Weina Gao, Changying Fu, et al.. (2024). Clinical functional proteomics of intercellular signalling in pancreatic cancer. Nature. 637(8046). 726–735. 15 indexed citations

3.

Wu, Qiong, Jiangnan Zheng, Changying Fu, et al.. (2024). High-throughput drug target discovery using a fully automated proteomics sample preparation platform. Chemical Science. 15(8). 2833–2847. 9 indexed citations

4.

Zheng, Jiangnan, Zhendong Zheng, Changying Fu, et al.. (2023). Deciphering intercellular signaling complexes by interaction-guided chemical proteomics. Nature Communications. 14(1). 4138–4138. 16 indexed citations

5.

Jiang, Ke, Yanyan Ding, Changying Fu, et al.. (2023). Kindlin-2 enhances c-Myc translation through association with DDX3X to promote pancreatic ductal adenocarcinoma progression. Theranostics. 13(13). 4333–4355. 4 indexed citations

6.

Huang, Peiwu, Weina Gao, Changying Fu, & Ruijun Tian. (2023). Functional and Clinical Proteomic Exploration of Pancreatic Cancer. Molecular & Cellular Proteomics. 22(7). 100575–100575. 8 indexed citations

7.

Yang, Yun, Suhong Sun, Shunji He, et al.. (2022). Fully integrated on-line strategy for highly sensitive proteome profiling of 10–500 mammalian cells. The Analyst. 148(1). 120–127. 1 indexed citations

8.

Liu, Jie, Lijun Yang, An He, et al.. (2021). Stable and EGF-Induced Temporal Interactome Profiling of CBL and CBLB Highlights Their Signaling Complex Diversity. Journal of Proteome Research. 20(7). 3709–3719. 4 indexed citations

9.

Fu, Changying, Na An, Jinming Liu, et al.. (2020). The transcription factor ZFHX3 is crucial for the angiogenic function of hypoxia-inducible factor 1α in liver cancer cells. Journal of Biological Chemistry. 295(20). 7060–7074. 20 indexed citations

10.

Li, Juan, Baotong Zhang, Xing Fu, et al.. (2020). KLF5 Is Crucial for Androgen-AR Signaling to Transactivate Genes and Promote Cell Proliferation in Prostate Cancer Cells. Cancers. 12(3). 748–748. 17 indexed citations

11.

Zhang, Baotong, Rui Chen, Changying Fu, et al.. (2019). ZFHX3 is indispensable for ERβ to inhibit cell proliferation via MYC downregulation in prostate cancer cells. Oncogenesis. 8(4). 28–28. 41 indexed citations

12.

Wu, Qiao, Changying Fu, Menglin Li, et al.. (2018). CINP is a novel cofactor of KLF5 required for its role in the promotion of cell proliferation, survival and tumor growth. International Journal of Cancer. 144(3). 582–594. 15 indexed citations

13.

Chen, Guo, Zhe Han, Du Feng, et al.. (2014). A Regulatory Signaling Loop Comprising the PGAM5 Phosphatase and CK2 Controls Receptor-Mediated Mitophagy. Molecular Cell. 54(3). 362–377. 463 indexed citations breakdown →

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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