Xiang Feng

671 total citations
29 papers, 494 citations indexed

About

Xiang Feng is a scholar working on Molecular Biology, Cancer Research and Pharmacology. According to data from OpenAlex, Xiang Feng has authored 29 papers receiving a total of 494 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 15 papers in Cancer Research and 3 papers in Pharmacology. Recurrent topics in Xiang Feng's work include Cancer-related molecular mechanisms research (13 papers), RNA modifications and cancer (7 papers) and Circular RNAs in diseases (7 papers). Xiang Feng is often cited by papers focused on Cancer-related molecular mechanisms research (13 papers), RNA modifications and cancer (7 papers) and Circular RNAs in diseases (7 papers). Xiang Feng collaborates with scholars based in China and United States. Xiang Feng's co-authors include Lei Wang, Jingwen Yu, Jiechen Li, Haochen Zhao, Quan Zou, Bihai Zhao, Jialiang Yang, Hao Li, Yuqi Wang and Qian Li and has published in prestigious journals such as International Journal of Molecular Sciences, IEEE Access and Frontiers in Microbiology.

In The Last Decade

Xiang Feng

29 papers receiving 490 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiang Feng China 14 280 272 31 29 25 29 494
Guanghui Wang China 15 369 1.3× 267 1.0× 108 3.5× 45 1.6× 13 0.5× 35 707
Rosario M. Piro Italy 14 403 1.4× 76 0.3× 24 0.8× 38 1.3× 33 1.3× 29 600
Sushmita Paul India 11 240 0.9× 95 0.3× 42 1.4× 68 2.3× 10 0.4× 27 357
Yuhang Wang China 12 309 1.1× 141 0.5× 79 2.5× 80 2.8× 12 0.5× 56 527
Imad Abugessaisa Japan 12 584 2.1× 144 0.5× 39 1.3× 53 1.8× 29 1.2× 29 835
William Yang United States 13 301 1.1× 98 0.4× 55 1.8× 22 0.8× 6 0.2× 26 436
Xiaosu Chen China 11 185 0.7× 54 0.2× 33 1.1× 40 1.4× 17 0.7× 41 420
Jemma Wu Australia 12 308 1.1× 58 0.2× 46 1.5× 34 1.2× 61 2.4× 26 626
Yue Fan China 12 251 0.9× 71 0.3× 73 2.4× 39 1.3× 13 0.5× 35 484
Kyu‐Baek Hwang South Korea 13 345 1.2× 143 0.5× 18 0.6× 20 0.7× 27 1.1× 31 547

Countries citing papers authored by Xiang Feng

Since Specialization
Citations

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

Fields of papers citing papers by Xiang Feng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiang Feng

This figure shows the co-authorship network connecting the top 25 collaborators of Xiang Feng. A scholar is included among the top collaborators of Xiang 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 Xiang Feng. Xiang 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.
Feng, Xiang, et al.. (2024). FDNet: Feature Decoupled Segmentation Network for Tooth CBCT Image. 1–5. 1 indexed citations
2.
Ba, Lina, Nan Wu, Rui Wang, et al.. (2024). Triptolide attenuates cardiac remodeling by inhibiting pyroptosis and EndMT via modulating USP14/Keap1/Nrf2 pathway. Heliyon. 10(2). e24010–e24010. 6 indexed citations
3.
Feng, Xiang, et al.. (2024). Yingxiang Acupoint Embedding Improves Mucosal Barrier Function in Rats with Local Allergic Rhinitis. International Archives of Allergy and Immunology. 185(8). 739–751. 1 indexed citations
4.
Feng, Xiang, Feifei Cheng, Zhiwei Chen, et al.. (2023). Impaired antibody responses were observed in patients with type 2 diabetes mellitus after receiving the inactivated COVID-19 vaccines. Virology Journal. 20(1). 22–22. 14 indexed citations
5.
Ren, Jing, Hanping Qi, Chao Song, et al.. (2021). LncRNA4930473A02Rik promotes cardiac hypertrophy by regulating TCF7 via sponging miR-135a in mice. Cell Death Discovery. 7(1). 378–378. 7 indexed citations
6.
Yao, Lichao, Sisi Yan, Wei Wang, et al.. (2021). Four potential microRNAs affect the progression of pancreatic ductal adenocarcinoma by targeting MET via the PI3K/AKT signaling pathway. Oncology Letters. 21(4). 326–326. 6 indexed citations
8.
Feng, Xiang, et al.. (2020). Downregulation of lncRNA XIST promotes proliferation and differentiation, limits apoptosis of osteoblasts through regulating miR-203-3p/ZFPM2 axis. Connective Tissue Research. 62(4). 381–392. 15 indexed citations
9.
Wang, Lujuan, Peng Qiu, Buqing Sai, et al.. (2020). Ligand-independent EphB1 signaling mediates TGF-β-activated CDH2 and promotes lung cancer cell invasion and migration. Journal of Cancer. 11(14). 4123–4131. 17 indexed citations
10.
Zhai, Lulu, et al.. (2020). Atypical presentations of coronavirus disease 2019 in a patient with acute obstructive suppurative cholangitis. Clinics and Research in Hepatology and Gastroenterology. 44(6). e135–e140. 6 indexed citations
11.
Yao, Lichao, Lun Wu, Wei Wang, et al.. (2020). Panax notoginseng Saponins Promote Cell Death and Chemosensitivity in Pancreatic Cancer through the Apoptosis and Autophagy Pathways. Anti-Cancer Agents in Medicinal Chemistry. 21(13). 1680–1688. 16 indexed citations
12.
Li, Jiechen, et al.. (2019). A novel target convergence set based random walk with restart for prediction of potential LncRNA-disease associations. BMC Bioinformatics. 20(1). 11 indexed citations
13.
Liu, Yang, et al.. (2019). A Novel Neighborhood-Based Computational Model for Potential MiRNA-Disease Association Prediction. Computational and Mathematical Methods in Medicine. 2019. 1–10. 6 indexed citations
14.
Yu, Jingwen, et al.. (2019). A novel collaborative filtering model for LncRNA-disease association prediction based on the Naïve Bayesian classifier. BMC Bioinformatics. 20(1). 396–396. 56 indexed citations
15.
Wang, Lei, et al.. (2019). A Bidirectional Label Propagation Based Computational Model for Potential Microbe-Disease Association Prediction. Frontiers in Microbiology. 10. 684–684. 35 indexed citations
16.
Li, Hao, Yuqi Wang, Haochen Zhao, et al.. (2019). A Novel Human Microbe-Disease Association Prediction Method Based on the Bidirectional Weighted Network. Frontiers in Microbiology. 10. 676–676. 20 indexed citations
17.
Zhao, Haochen, Linai Kuang, Xiang Feng, Quan Zou, & Lei Wang. (2018). A Novel Approach Based on a Weighted Interactive Network to Predict Associations of MiRNAs and Diseases. International Journal of Molecular Sciences. 20(1). 110–110. 21 indexed citations
18.
Ma, Wenping, et al.. (2017). Personalized recommendation via unbalance full-connectivity inference. Physica A Statistical Mechanics and its Applications. 483. 273–279. 8 indexed citations
19.
Ma, Wenping, Xiang Feng, Shanfeng Wang, & Maoguo Gong. (2015). Personalized recommendation based on heat bidirectional transfer. Physica A Statistical Mechanics and its Applications. 444. 713–721. 12 indexed citations
20.
He, Bin, Bangliang Yin, Baoxiang Wang, et al.. (2012). Overexpression of LASP1 is associated with proliferation, migration and invasion in esophageal squamous cell carcinoma. Oncology Reports. 29(3). 1115–1123. 24 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026