Fei Xing

6.8k total citations · 1 hit paper
170 papers, 4.8k citations indexed

About

Fei Xing is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Oncology. According to data from OpenAlex, Fei Xing has authored 170 papers receiving a total of 4.8k indexed citations (citations by other indexed papers that have themselves been cited), including 55 papers in Molecular Biology, 47 papers in Pulmonary and Respiratory Medicine and 40 papers in Oncology. Recurrent topics in Fei Xing's work include Brain Metastases and Treatment (27 papers), Lung Cancer Research Studies (12 papers) and Microbial Fuel Cells and Bioremediation (11 papers). Fei Xing is often cited by papers focused on Brain Metastases and Treatment (27 papers), Lung Cancer Research Studies (12 papers) and Microbial Fuel Cells and Bioremediation (11 papers). Fei Xing collaborates with scholars based in China, United States and Japan. Fei Xing's co-authors include Kounosuke Watabe, Kerui Wu, Puspa R. Pandey, Sambad Sharma, Misako Watabe, Koji Fukuda, Shigeru Hirota, Sudha K. Pai, Hiroshi Okuda and Yin‐Yuan Mo and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and The Journal of Experimental Medicine.

In The Last Decade

Fei Xing

158 papers receiving 4.7k citations

Hit Papers

Cancer associated fibroblasts (CAFs) in tumor microenviro... 2009 2026 2014 2020 2009 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fei Xing China 34 2.2k 1.5k 1.4k 906 443 170 4.8k
Siyuan Zhang China 40 3.6k 1.7× 1.9k 1.3× 1.7k 1.2× 989 1.1× 889 2.0× 154 7.1k
Lei Huo United States 35 1.5k 0.7× 1.3k 0.9× 1.5k 1.1× 846 0.9× 207 0.5× 172 4.3k
Huizhong Zhang China 38 2.2k 1.0× 1.2k 0.8× 1.0k 0.7× 388 0.4× 573 1.3× 188 4.5k
Qing Xu China 32 2.0k 0.9× 1.5k 1.0× 1.0k 0.7× 876 1.0× 556 1.3× 182 4.3k
Tianxiang Chen China 24 2.8k 1.3× 1.1k 0.7× 1.5k 1.0× 1.6k 1.7× 616 1.4× 74 4.7k
Xuan Zhou China 36 3.1k 1.4× 1.2k 0.8× 2.4k 1.7× 289 0.3× 504 1.1× 160 4.7k
Bin Huang China 34 1.7k 0.8× 417 0.3× 863 0.6× 480 0.5× 378 0.9× 115 3.1k
TL Lee Hong Kong 42 2.7k 1.3× 635 0.4× 1.0k 0.7× 432 0.5× 567 1.3× 136 5.3k
Lei You China 44 3.3k 1.5× 2.6k 1.8× 2.5k 1.8× 778 0.9× 798 1.8× 168 6.5k

Countries citing papers authored by Fei Xing

Since Specialization
Citations

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

Fields of papers citing papers by Fei Xing

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fei Xing

This figure shows the co-authorship network connecting the top 25 collaborators of Fei Xing. A scholar is included among the top collaborators of Fei Xing 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 Fei Xing. Fei Xing 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.
Chen, Shuhan, Jing Liu, Jingping Wang, et al.. (2025). Sleep deprivation affects pain sensitivity by increasing oxidative stress and apoptosis in the medial prefrontal cortex of rats via the HDAC2-NRF2 pathway. Biomedical Journal. 48(5). 100826–100826. 1 indexed citations
2.
Meng, Fang, et al.. (2025). MathOdyssey: Benchmarking Mathematical Problem-Solving Skills in Large Language Models Using Odyssey Math Data. Scientific Data. 12(1). 1392–1392. 2 indexed citations
4.
Zhao, Dan, Ravindra Pramod Deshpande, Kerui Wu, et al.. (2024). Identification of TUBB3 as an immunotherapy target in lung cancer by genome wide in vivo CRISPR screening. Neoplasia. 60. 101100–101100.
5.
Cramer, Christina K., Scott Isom, Michael McCormack, et al.. (2024). Brain metastases from renal cell carcinoma: Effects of novel systemic agents on brain metastasis outcomes. Clinical Neurology and Neurosurgery. 238. 108191–108191. 1 indexed citations
6.
Xing, Fei, Junzhan Zhang, Zhen Han, et al.. (2024). Compositing thermal conductivity behavior to enhance thermoelectric properties of honeycomb-like porous Ca3Co4O9 ceramics. Ceramics International. 50(22). 46273–46278.
7.
Niu, Shuo, Fei Xing, Jimmy Ruiz, et al.. (2024). Deep Learning Model for Predicting Lung Adenocarcinoma Recurrence from Whole Slide Images. Cancers. 16(17). 3097–3097.
8.
Xing, Fei, et al.. (2024). Exposed Phosphatidylserine as a Biomarker for Clear Identification of Breast Cancer Brain Metastases in Mouse Models. Cancers. 16(17). 3088–3088. 1 indexed citations
9.
10.
Shi, Zongmo, Yuan Liu, Jian Wei, et al.. (2024). Grain boundary density on realizing anisotropic thermoelectric properties of Ca3Co4O9-based ceramics with excellent texturation. Ceramics International. 50(15). 27331–27338. 4 indexed citations
11.
Zhang, Wei, et al.. (2023). Development and experimental study of a scaled model for dust dispersion in fully-mechanized mining face. Journal of Cleaner Production. 429. 139576–139576. 14 indexed citations
12.
Xing, Fei, et al.. (2023). Interfacial Reaction Model of High-Al Steel in Continuous Casting Mold. Metallurgical and Materials Transactions B. 54(3). 1546–1554. 8 indexed citations
13.
Zhang, Kai, Fei Xing, Wei Wang, et al.. (2023). Microstructure and properties of composite coatings by laser cladding Inconel 625 and reinforced WC particles on non-magnetic steel. Optics & Laser Technology. 163. 109321–109321. 59 indexed citations
14.
Hu, Yunping, Baisong Lu, Zhiyong Deng, Fei Xing, & Wesley Hsu. (2023). Virus-like particle-based delivery of Cas9/guide RNA ribonucleoprotein efficiently edits the brachyury gene and inhibits chordoma growth in vivo. Discover Oncology. 14(1). 70–70. 7 indexed citations
15.
Xing, Fei, Dan Zhao, Shih-Ying Wu, et al.. (2021). Epigenetic and Posttranscriptional Modulation of SOS1 Can Promote Breast Cancer Metastasis through Obesity-Activated c-Met Signaling in African-American Women. Cancer Research. 81(11). 3008–3021. 21 indexed citations
16.
Wu, Shih-Ying, Fei Xing, Sambad Sharma, et al.. (2020). Nicotine promotes brain metastasis by polarizing microglia and suppressing innate immune function. The Journal of Experimental Medicine. 217(8). 77 indexed citations
17.
Xing, Fei, Yin Liu, Shih-Ying Wu, et al.. (2018). Loss of XIST in Breast Cancer Activates MSN-c-Met and Reprograms Microglia via Exosomal miRNA to Promote Brain Metastasis. Cancer Research. 78(15). 4316–4330. 259 indexed citations
18.
Xing, Fei, Yin Liu, Sambad Sharma, et al.. (2016). Activation of the c-Met Pathway Mobilizes an Inflammatory Network in the Brain Microenvironment to Promote Brain Metastasis of Breast Cancer. Cancer Research. 76(17). 4970–4980. 102 indexed citations
19.
Okuda, Hiroshi, Aya Kobayashi, Bo Xia, et al.. (2011). Hyaluronan Synthase HAS2 Promotes Tumor Progression in Bone by Stimulating the Interaction of Breast Cancer Stem–Like Cells with Macrophages and Stromal Cells. Cancer Research. 72(2). 537–547. 160 indexed citations
20.
Iiizumi, Megumi, Sucharita Bandyopadhyay, Sudha K. Pai, et al.. (2008). RhoC Promotes Metastasis via Activation of the Pyk2 Pathway in Prostate Cancer. Cancer Research. 68(18). 7613–7620. 85 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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