Xin‐Hua Feng

23.5k total citations · 7 hit papers
187 papers, 17.5k citations indexed

About

Xin‐Hua Feng is a scholar working on Molecular Biology, Oncology and Pathology and Forensic Medicine. According to data from OpenAlex, Xin‐Hua Feng has authored 187 papers receiving a total of 17.5k indexed citations (citations by other indexed papers that have themselves been cited), including 161 papers in Molecular Biology, 36 papers in Oncology and 23 papers in Pathology and Forensic Medicine. Recurrent topics in Xin‐Hua Feng's work include TGF-β signaling in diseases (71 papers), Cancer-related gene regulation (29 papers) and Ubiquitin and proteasome pathways (27 papers). Xin‐Hua Feng is often cited by papers focused on TGF-β signaling in diseases (71 papers), Cancer-related gene regulation (29 papers) and Ubiquitin and proteasome pathways (27 papers). Xin‐Hua Feng collaborates with scholars based in United States, China and Germany. Xin‐Hua Feng's co-authors include Rik Derynck, Ying E. Zhang, Xia Lin, Rui-Yun Wu, Min Liang, Katharine H. Wrighton, Yao-Yun Liang, F. Charles Brunicardi, Xia Lin and Chen Dong and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Xin‐Hua Feng

185 papers receiving 17.3k citations

Hit Papers

SPECIFICITY AND VERSATILITY IN TGF-β SIGNALING THROUGH SMADS 1996 2026 2006 2016 2005 2008 1998 1996 2018 500 1000 1.5k
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.

  1. SPECIFICITY AND VERSATILITY IN TGF-β SIGNALING THROUGH SMADS
    2005 1.6k citations Xin‐Hua Feng et al. profile →
  2. Molecular Antagonism and Plasticity of Regulatory and Inflammatory T Cell Programs
    2008 928 citations Xin‐Hua Feng et al. profile →
  3. Transcriptional Activators of TGF-β Responses: Smads
    1998 920 citations Xin‐Hua Feng et al. profile →
  4. Receptor-associated Mad homologues synergize as effectors of the TGF-β response
    1996 760 citations Xin‐Hua Feng et al. profile →
  5. VIRMA mediates preferential m6A mRNA methylation in 3′UTR and near stop codon and associates with alternative polyadenylation
    2018 755 citations Xin‐Hua Feng et al. Cell Discovery profile →
  6. Smad3 and Smad4 cooperate with c-Jun/c-Fos to mediate TGF-β-induced transcription
    1998 706 citations Xin‐Hua Feng et al. profile →
  7. A non-canonical cGAS–STING–PERK pathway facilitates the translational program critical for senescence and organ fibrosis
    2022 163 citations Yezhang Zhu, Qian Zhang et al. Nature Cell Biology profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xin‐Hua Feng United States 69 13.3k 3.7k 2.7k 2.4k 1.6k 187 17.5k
Seishi Ogawa Japan 69 8.3k 0.6× 2.8k 0.7× 3.0k 1.1× 2.4k 1.0× 1.4k 0.9× 474 16.1k
Ying E. Zhang United States 51 12.5k 0.9× 3.5k 1.0× 1.3k 0.5× 2.4k 1.0× 896 0.6× 102 16.4k
Aristidis Moustakas Sweden 68 13.1k 1.0× 5.7k 1.5× 1.3k 0.5× 3.5k 1.5× 1.5k 1.0× 161 17.8k
Geert Berx Belgium 53 10.5k 0.8× 5.6k 1.5× 1.6k 0.6× 3.8k 1.6× 1.7k 1.1× 137 15.9k
Yoshiaki Ito Japan 74 12.5k 0.9× 4.8k 1.3× 2.5k 0.9× 3.0k 1.3× 1.8k 1.2× 422 19.4k
Warren S. Pear United States 74 11.7k 0.9× 3.1k 0.8× 5.4k 2.0× 1.7k 0.7× 1.6k 1.0× 181 18.8k
Tannishtha Reya United States 38 13.8k 1.0× 7.5k 2.0× 2.3k 0.9× 3.7k 1.6× 1.8k 1.1× 67 21.0k
Freddy Radtke Switzerland 82 12.7k 1.0× 3.9k 1.1× 5.4k 2.0× 2.2k 0.9× 1.7k 1.1× 178 21.7k
Jan Kitajewski United States 76 11.6k 0.9× 3.6k 1.0× 2.3k 0.9× 2.3k 0.9× 1.6k 1.0× 180 17.7k
Jonathan D. Licht United States 71 14.1k 1.1× 2.4k 0.6× 2.8k 1.0× 1.8k 0.8× 715 0.5× 255 17.9k

Countries citing papers authored by Xin‐Hua Feng

Since Specialization
Citations

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

Fields of papers citing papers by Xin‐Hua Feng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Xin‐Hua Feng. 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 Xin‐Hua Feng. The network helps show where Xin‐Hua Feng may publish in the future.

Co-authorship network of co-authors of Xin‐Hua Feng

This figure shows the co-authorship network connecting the top 25 collaborators of Xin‐Hua Feng. A scholar is included among the top collaborators of Xin‐Hua Feng 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 Xin‐Hua Feng. Xin‐Hua Feng 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
1.
Zhang, Fei, Qirou Wu, Ailian Wang, et al.. (2025). Proteasomal processing of the viral replicase ORF1 facilitates HEV-induced liver fibrosis. Proceedings of the National Academy of Sciences. 122(11). e2419946122–e2419946122. 1 indexed citations
2.
Luo, Peng, Jie Li, Shu-yi Zhang, et al.. (2025). ERBB4 selectively amplifies TGF-β pro-metastatic responses. Cell Reports. 44(2). 115210–115210. 3 indexed citations
3.
Tang, Mingzhu, Guang Lu, Haimei Tang, et al.. (2025). A positive feedback loop between SMAD3 and PINK1 in regulation of mitophagy. Cell Discovery. 11(1). 22–22. 3 indexed citations
4.
Shu, Xin, Yi Lu, Ran Li, et al.. (2024). A chaperone-like function of FUS ensures TAZ condensate dynamics and transcriptional activation. Nature Cell Biology. 26(1). 86–99. 12 indexed citations
5.
Chen, Gang, et al.. (2023). Regulation of FLC nuclear import by coordinated action of the NUP62‐subcomplex and importin β SAD2. Journal of Integrative Plant Biology. 65(9). 2086–2106. 7 indexed citations
6.
Yuan, Bo, Jinquan Liu, Aiping Shi, et al.. (2023). HERC3 promotes YAP / TAZ stability and tumorigenesis independently of its ubiquitin ligase activity. The EMBO Journal. 42(4). e111549–e111549. 19 indexed citations
7.
Liu, Jinquan, Bo Yuan, Jin Cao, et al.. (2021). AMBRA1 Promotes TGFβ Signaling via Nonproteolytic Polyubiquitylation of Smad4. Cancer Research. 81(19). 5007–5020. 14 indexed citations
8.
Gao, Chun, Xinran Li, Shuchen Gu, et al.. (2021). HSPA13 facilitates NF-κB–mediated transcription and attenuates cell death responses in TNFα signaling. Science Advances. 7(41). eabh1756–eabh1756. 8 indexed citations
9.
Gong, Lu, Qinghe Zhang, Xiao Pan, et al.. (2019). p53 Protects Cells from Death at the Heatstroke Threshold Temperature. Cell Reports. 29(11). 3693–3707.e5. 10 indexed citations
10.
Sun, Yulin, Hongjun Gao, Xin Zheng, et al.. (2018). miR-192-5p Silencing by Genetic Aberrations Is a Key Event in Hepatocellular Carcinomas with Cancer Stem Cell Features. Cancer Research. 79(5). 941–953. 69 indexed citations
11.
Ma, Xiaojie, Xi Chen, Yan Jin, et al.. (2018). Small molecules promote CRISPR-Cpf1-mediated genome editing in human pluripotent stem cells. Nature Communications. 9(1). 1303–1303. 51 indexed citations
12.
Si, Yuan, Xinyan Ji, Xiaolei Cao, et al.. (2017). Src Inhibits the Hippo Tumor Suppressor Pathway through Tyrosine Phosphorylation of Lats1. Cancer Research. 77(18). 4868–4880. 117 indexed citations
13.
Chen, Fenfang, Xia Lin, Pinglong Xu, et al.. (2015). Nuclear Export of Smads by RanBP3L Regulates Bone Morphogenetic Protein Signaling and Mesenchymal Stem Cell Differentiation. Molecular and Cellular Biology. 35(10). 1700–1711. 38 indexed citations
14.
Chen, Wei, Hui Liang, Hao Liu, et al.. (2015). Inhibition of mTORC2 Induces Cell-Cycle Arrest and Enhances the Cytotoxicity of Doxorubicin by Suppressing MDR1 Expression in HCC Cells. Molecular Cancer Therapeutics. 14(8). 1805–1815. 38 indexed citations
15.
Lin, Yu‐Ching, Hsin‐Yi Chen, Xueyan Duan, et al.. (2014). SCP Phosphatases Suppress Renal Cell Carcinoma by Stabilizing PML and Inhibiting mTOR/HIF Signaling. Cancer Research. 74(23). 6935–6946. 34 indexed citations
16.
Feng, Yi-Li, Yongxian Xu, Zhengmao Zhang, et al.. (2013). Zinc Finger Protein 451 Is a Novel Smad Corepressor in Transforming Growth Factor-β Signaling. Journal of Biological Chemistry. 289(4). 2072–2083. 30 indexed citations
17.
Dai, Fangyan, Tao Shen, Zhaoyong Li, Xia Lin, & Xin‐Hua Feng. (2011). PPM1A dephosphorylates RanBP3 to enable efficient nuclear export of Smad2 and Smad3. EMBO Reports. 12(11). 1175–1181. 25 indexed citations
18.
Chen, Ye‐Guang, et al.. (2008). 10 Transcriptional Control via Smads. Cold Spring Harbor Monograph Archive. 50. 287–332. 2 indexed citations
19.
Ishinaga, Hajime, Hirofumi Jono, Jae Hyang Lim, et al.. (2007). TGF‐β induces p65 acetylation to enhance bacteria‐induced NF‐κB activation. The EMBO Journal. 26(4). 1150–1162. 83 indexed citations
20.
Li, Allen G., Donna Wang, Xin‐Hua Feng, & Xiaojing Wang. (2004). Latent TGFβ1 overexpression in keratinocytes results in a severe psoriasis‐like skin disorder. The EMBO Journal. 23(8). 1770–1781. 176 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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