Xiaodong Feng

3.0k total citations · 1 hit paper
55 papers, 1.8k citations indexed

About

Xiaodong Feng is a scholar working on Molecular Biology, Periodontics and Cell Biology. According to data from OpenAlex, Xiaodong Feng has authored 55 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 14 papers in Periodontics and 8 papers in Cell Biology. Recurrent topics in Xiaodong Feng's work include Oral microbiology and periodontitis research (11 papers), Hippo pathway signaling and YAP/TAZ (8 papers) and Oral Health Pathology and Treatment (7 papers). Xiaodong Feng is often cited by papers focused on Oral microbiology and periodontitis research (11 papers), Hippo pathway signaling and YAP/TAZ (8 papers) and Oral Health Pathology and Treatment (7 papers). Xiaodong Feng collaborates with scholars based in China, United States and Japan. Xiaodong Feng's co-authors include J. Silvio Gutkind, Qianming Chen, Ramiro Iglesias‐Bartolomé, Alfredo Molinolo, José P. Vaqué, Bruce R. Ksander, Fuxiang Chen, Akrit Sodhi, María Sol Degese and M. Raza Zaidi and has published in prestigious journals such as Molecular Cell, Nature Cell Biology and Cancer Cell.

In The Last Decade

Xiaodong Feng

49 papers receiving 1.8k citations

Hit Papers

Hippo-Independent Activation of YAP by the GNAQ Uveal Mel... 2014 2026 2018 2022 2014 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiaodong Feng China 20 1.1k 534 311 246 222 55 1.8k
Georges Siegenthaler Switzerland 29 1.5k 1.3× 386 0.7× 135 0.4× 368 1.5× 77 0.3× 72 2.7k
Constantinos M. Mikelis United States 26 1.3k 1.1× 389 0.7× 453 1.5× 297 1.2× 59 0.3× 75 2.2k
Michelle L. Matter United States 18 968 0.8× 411 0.8× 192 0.6× 161 0.7× 25 0.1× 43 1.5k
Ken‐ichi Kozaki Japan 21 906 0.8× 106 0.2× 312 1.0× 134 0.5× 144 0.6× 34 1.5k
K. Satoh Japan 22 890 0.8× 280 0.5× 235 0.8× 362 1.5× 21 0.1× 48 1.7k
Ken‐ichi Kozaki Japan 27 2.1k 1.9× 332 0.6× 772 2.5× 141 0.6× 20 0.1× 38 2.9k
Lizhi He Canada 20 837 0.7× 138 0.3× 344 1.1× 283 1.2× 73 0.3× 38 1.4k
Kyunggon Kim South Korea 24 961 0.8× 115 0.2× 143 0.5× 122 0.5× 114 0.5× 94 1.6k
Laura Asnaghi United States 20 924 0.8× 218 0.4× 230 0.7× 142 0.6× 223 1.0× 38 1.4k
Alberto Bavelloni Italy 27 1.5k 1.3× 310 0.6× 247 0.8× 249 1.0× 109 0.5× 77 2.2k

Countries citing papers authored by Xiaodong Feng

Since Specialization
Citations

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

Fields of papers citing papers by Xiaodong Feng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaodong Feng

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaodong Feng. A scholar is included among the top collaborators of Xiaodong 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 Xiaodong Feng. Xiaodong 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.
Yuan, Yao, Yang Peng, Xiaoqiang Xia, et al.. (2025). Distinct effects of Hippo-YAP/TAZ and YAP/TAZ-TEAD in epithelial maintenance and repair. Biochemical and Biophysical Research Communications. 751. 151427–151427. 3 indexed citations
3.
Zhou, Tong, Fan Yang, Lanxin Jiang, et al.. (2024). Type 17 immune response promotes oral epithelial cell proliferation in periodontitis. Archives of Oral Biology. 164. 106005–106005. 2 indexed citations
4.
Sun, Huiying, Aiping Chen, Hongrui Wang, et al.. (2024). 1765P Second-line targeted therapy patterns and outcomes of advanced gastrointestinal stromal tumor: A prospective, multicentered real-world study. Annals of Oncology. 35. S1051–S1051.
5.
Jiang, Lanxin, Ying Zhou, Tong Zhou, et al.. (2023). Comparative analysis of two arecoline‐induced oral submucous fibrosis models. Oral Diseases. 30(6). 3897–3911. 4 indexed citations
6.
Ando, Toshinori, Nadia Arang, Zhiyong Wang, et al.. (2021). EGFR Regulates the Hippo pathway by promoting the tyrosine phosphorylation of MOB1. Communications Biology. 4(1). 1237–1237. 38 indexed citations
7.
Chen, Qian, Yingqiang Shen, Liang Xie, et al.. (2020). Isorhamnetin induces the paraptotic cell death through ROS and the ERK/MAPK pathway in OSCC cells. Oral Diseases. 27(2). 240–250. 28 indexed citations
9.
Goto, Yusuke, Toshinori Ando, Hiroki Izumi, et al.. (2020). Muscarinic receptors promote castration-resistant growth of prostate cancer through a FAK–YAP signaling axis. Oncogene. 39(20). 4014–4027. 29 indexed citations
11.
Wang, Zhiyong, Xiaodong Feng, Alfredo Molinolo, et al.. (2019). 4E-BP1 Is a Tumor Suppressor Protein Reactivated by mTOR Inhibition in Head and Neck Cancer. Cancer Research. 79(7). 1438–1450. 54 indexed citations
12.
Feng, Xiaodong, Nadia Arang, Xingyu Wu, et al.. (2019). Identifying novel molecular vulnerabilities to PTK2/FAK inhibition in G α q‐driven uveal melanoma using a kinome‐wide CRISPR/Cas9 screen. The FASEB Journal. 33(S1). 1 indexed citations
13.
Wang, Han, Qingqiong Luo, Xiaodong Feng, et al.. (2018). NLRP3 promotes tumor growth and metastasis in human oral squamous cell carcinoma. BMC Cancer. 18(1). 500–500. 95 indexed citations
14.
O’Hayre, Morgan, Kelsie Eichel, Silvia Avino, et al.. (2017). Genetic evidence that β-arrestins are dispensable for the initiation of β 2 -adrenergic receptor signaling to ERK. Science Signaling. 10(484). 159 indexed citations
15.
Iglesias‐Bartolomé, Ramiro, Daniela Torres, Romina Marone, et al.. (2015). Inactivation of a Gαs–PKA tumour suppressor pathway in skin stem cells initiates basal-cell carcinogenesis. Nature Cell Biology. 17(6). 793–803. 117 indexed citations
16.
Feng, Xiaodong, María Sol Degese, Ramiro Iglesias‐Bartolomé, et al.. (2014). Hippo-Independent Activation of YAP by the GNAQ Uveal Melanoma Oncogene through a Trio-Regulated Rho GTPase Signaling Circuitry. Cancer Cell. 25(6). 831–845. 427 indexed citations breakdown →
17.
Vyas, Deepti, et al.. (2014). A Comparison between a Simulation-Based and Traditional Direct Patient Care Introductory Pharmacy Practice Experiences. Pharmacy Education. 14. 3 indexed citations
18.
Li, Jing, Yu Guo, Xiaodong Feng, et al.. (2011). Receptor for activated C kinase 1 (RACK1): a regulator for migration and invasion in oral squamous cell carcinoma cells. Journal of Cancer Research and Clinical Oncology. 138(4). 563–571. 28 indexed citations
19.
Zhou, Yu, Rui Lü, Hongxia Dan, et al.. (2011). Vesicular stomatitis virus matrix protein (VSVMP) inhibits the cell growth and tumor angiogenesis in oral squamous cell carcinoma. Oral Oncology. 48(2). 110–116. 7 indexed citations
20.
Wang, Zhi, Xiaodong Feng, Xinyu Liu, et al.. (2009). Involvement of potential pathways in malignant transformation from Oral Leukoplakia to Oral Squamous Cell Carcinoma revealed by proteomic analysis. BMC Genomics. 10(1). 383–383. 32 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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