Nai Yang Fu

3.4k total citations · 1 hit paper
43 papers, 2.3k citations indexed

About

Nai Yang Fu is a scholar working on Molecular Biology, Oncology and Epidemiology. According to data from OpenAlex, Nai Yang Fu has authored 43 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Molecular Biology, 14 papers in Oncology and 9 papers in Epidemiology. Recurrent topics in Nai Yang Fu's work include Cancer Cells and Metastasis (11 papers), Cell death mechanisms and regulation (9 papers) and Autophagy in Disease and Therapy (5 papers). Nai Yang Fu is often cited by papers focused on Cancer Cells and Metastasis (11 papers), Cell death mechanisms and regulation (9 papers) and Autophagy in Disease and Therapy (5 papers). Nai Yang Fu collaborates with scholars based in Singapore, Australia and China. Nai Yang Fu's co-authors include Jane E. Visvader, Geoffrey J. Lindeman, Anne C. Rios, Victor C. Yu, Bhupinder Pal, Sunil K. Sukumaran, Paul R. Jamieson, Emma Nolan, François Vaillant and Gordon K. Smyth and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Nai Yang Fu

41 papers receiving 2.3k 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.

In situ identification of bipotent stem cells in the mammary gland

2014 396 citations Anne C. Rios, Nai Yang Fu et al. Nature profile →

Peers

Nai Yang Fu

MB

ONCOL

CR

IMMUN

CB

Xiujuan Li China

Denise Perez Brazil

Bhuvanesh Dave United States

Subbareddy Maddika India

Shufang Liang China

Gokul M. Das United States

D. Joshua Liao United States

Hongxia Zhu China

Jan‐Jong Hung Taiwan

Xu Feng United States

Xiujuan Li China

Nai Yang Fu

1.8k ×1.2

MB

556 ×0.6

ONCOL

545 ×1.4

CR

228 ×0.9

IMMUN

255 ×1.1

CB

Citations per year, relative to Nai Yang Fu Nai Yang Fu (= 1×) peers Xiujuan Li

Countries citing papers authored by Nai Yang Fu

Since Specialization

Citations

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

Fields of papers citing papers by Nai Yang Fu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nai Yang Fu

This figure shows the co-authorship network connecting the top 25 collaborators of Nai Yang Fu. A scholar is included among the top collaborators of Nai Yang 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 Nai Yang Fu. Nai Yang 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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20 of 20 papers shown

1.

Chin, Hui San, Jinming Cheng, Maria T. K. Zaldivia, et al.. (2025). MCL‑1 safeguards activated hair follicle stem cells to enable adult hair regeneration. Nature Communications. 16(1). 2829–2829. 3 indexed citations

2.

Guo, Fusheng, Hui San Chin, Ziyan Zhang, et al.. (2025). Rapid and Robust Generation of Homozygous Fluorescent Reporter Knock-In Cell Pools by CRISPR-Cas9. Cells. 14(15). 1165–1165.

3.

Cheng, Jinming, Bianca D. Capaldo, François Vaillant, et al.. (2025). Fibroblast hierarchy dynamics during mammary gland morphogenesis and tumorigenesis. The EMBO Journal. 44(11). 3266–3300. 2 indexed citations

4.

Yap, Jiajun, Junjun Chen, Nico Boon, et al.. (2025). Oncogenic non-V600 mutations evade the regulatory machinery of RAF including the Cdc37/Hsp90 chaperone and the 14-3-3 scaffold. Theranostics. 15(5). 2035–2051.

5.

Xu, Haibo, Hui Wang, Li Zou, et al.. (2024). Mcam inhibits macrophage-mediated development of mammary gland through non-canonical Wnt signaling. Nature Communications. 15(1). 36–36. 4 indexed citations

6.

Zhang, Ziyan, et al.. (2024). Molecular Regulation and Oncogenic Functions of TSPAN8. Cells. 13(2). 193–193. 4 indexed citations

7.

Chin, Hui San & Nai Yang Fu. (2021). Physiological Functions of Mcl-1: Insights From Genetic Mouse Models. Frontiers in Cell and Developmental Biology. 9. 704547–704547. 11 indexed citations

8.

Fu, Nai Yang, Bhupinder Pal, Yunshun Chen, et al.. (2018). Foxp1 Is Indispensable for Ductal Morphogenesis and Controls the Exit of Mammary Stem Cells from Quiescence. Developmental Cell. 47(5). 629–644.e8. 26 indexed citations

9.

Pal, Bhupinder, Yunshun Chen, François Vaillant, et al.. (2017). Construction of developmental lineage relationships in the mouse mammary gland by single-cell RNA profiling. Nature Communications. 8(1). 1627–1627. 141 indexed citations

10.

Rios, Anne C., Nai Yang Fu, Paul R. Jamieson, et al.. (2016). Essential role for a novel population of binucleated mammary epithelial cells in lactation. Nature Communications. 7(1). 11400–11400. 84 indexed citations

11.

Fu, Nai Yang, et al.. (2016). Lineage Tracing of Mammary Stem and Progenitor Cells. Methods in molecular biology. 1501. 291–308. 8 indexed citations

12.

Fu, Nai Yang, Anne C. Rios, Bhupinder Pal, et al.. (2015). EGF-mediated induction of Mcl-1 at the switch to lactation is essential for alveolar cell survival. Nature Cell Biology. 17(4). 365–375. 55 indexed citations

13.

Rios, Anne C., Nai Yang Fu, Geoffrey J. Lindeman, & Jane E. Visvader. (2014). In situ identification of bipotent stem cells in the mammary gland. Nature. 506(7488). 322–327. 396 indexed citations breakdown →

14.

Fu, Nai Yang, Geoffrey J. Lindeman, & Jane E. Visvader. (2014). The Mammary Stem Cell Hierarchy. Current topics in developmental biology. 107. 133–160. 42 indexed citations

15.

Pal, Bhupinder, Toula Bouras, Wei Shi, et al.. (2013). Global Changes in the Mammary Epigenome Are Induced by Hormonal Cues and Coordinated by Ezh2. Cell Reports. 3(2). 411–426. 99 indexed citations

16.

Sukumaran, Sunil K., et al.. (2010). A Soluble Form of the Pilus Protein FimA Targets the VDAC-Hexokinase Complex at Mitochondria to Suppress Host Cell Apoptosis. Molecular Cell. 37(6). 768–783. 38 indexed citations

17.

Fu, Nai Yang, Sunil K. Sukumaran, Sze Yen Kerk, & Victor C. Yu. (2009). Baxβ: A Constitutively Active Human Bax Isoform that Is under Tight Regulatory Control by the Proteasomal Degradation Mechanism. Molecular Cell. 33(1). 15–29. 53 indexed citations

18.

Fu, Nai Yang, Sunil K. Sukumaran, & Victor C. Yu. (2007). Inhibition of ubiquitin-mediated degradation of MOAP-1 by apoptotic stimuli promotes Bax function in mitochondria. Proceedings of the National Academy of Sciences. 104(24). 10051–10056. 49 indexed citations

19.

Tan, Kuan Onn, Nai Yang Fu, Sunil K. Sukumaran, et al.. (2005). MAP-1 is a mitochondrial effector of Bax. Proceedings of the National Academy of Sciences. 102(41). 14623–14628. 104 indexed citations

20.

Chan, Shing Leng, Mei Lee, Kuan Onn Tan, et al.. (2003). Identification of Chelerythrine as an Inhibitor of BclXL Function. Journal of Biological Chemistry. 278(23). 20453–20456. 128 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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