Xiaofeng Dai

7.0k total citations · 5 hit papers
152 papers, 4.9k citations indexed

About

Xiaofeng Dai is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Xiaofeng Dai has authored 152 papers receiving a total of 4.9k indexed citations (citations by other indexed papers that have themselves been cited), including 84 papers in Molecular Biology, 32 papers in Cancer Research and 23 papers in Oncology. Recurrent topics in Xiaofeng Dai's work include RNA modifications and cancer (16 papers), Plasma Applications and Diagnostics (16 papers) and Cancer-related molecular mechanisms research (11 papers). Xiaofeng Dai is often cited by papers focused on RNA modifications and cancer (16 papers), Plasma Applications and Diagnostics (16 papers) and Cancer-related molecular mechanisms research (11 papers). Xiaofeng Dai collaborates with scholars based in China, Australia and United States. Xiaofeng Dai's co-authors include Zhonghu Bai, Hongye Cheng, Jia Li, Li Shen, Xiuxia Liu, Yankun Yang, Kostya Ostrikov, Ting Li, Bozhi Shi and Jinling Zhan and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Cancer Research.

In The Last Decade

Xiaofeng Dai

149 papers receiving 4.8k citations

Hit Papers

Breast Cancer Cell Line Classification and Its Relevance ... 2015 2026 2018 2022 2017 2015 2022 2023 2025 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiaofeng Dai China 31 2.5k 1.1k 1.0k 647 575 152 4.9k
Biao Li China 40 3.1k 1.2× 1.2k 1.1× 716 0.7× 662 1.0× 532 0.9× 387 7.4k
Oliver Schilling Germany 44 3.6k 1.4× 1.5k 1.4× 1.9k 1.8× 351 0.5× 269 0.5× 230 7.3k
Yun Wu United States 40 2.9k 1.2× 1.2k 1.1× 886 0.9× 213 0.3× 1.2k 2.0× 113 5.1k
Liang Zhang China 44 4.4k 1.8× 1.1k 1.0× 786 0.8× 334 0.5× 511 0.9× 218 7.2k
Steffen Emmert Germany 44 2.3k 0.9× 616 0.6× 1.1k 1.0× 1.9k 2.9× 582 1.0× 228 6.2k
Xiao Liang China 36 3.7k 1.5× 1.4k 1.3× 1.1k 1.0× 220 0.3× 407 0.7× 161 7.2k
Fan Bai China 44 3.6k 1.4× 1.3k 1.1× 1.1k 1.1× 234 0.4× 619 1.1× 177 6.9k
Derek J. Richard Australia 38 3.5k 1.4× 924 0.8× 1.5k 1.5× 208 0.3× 269 0.5× 154 5.2k
Tianhua Zhou China 50 4.6k 1.8× 1.7k 1.5× 846 0.8× 174 0.3× 667 1.2× 219 8.1k
Santanu Dasgupta United States 41 4.0k 1.6× 958 0.9× 781 0.8× 622 1.0× 182 0.3× 169 6.3k

Countries citing papers authored by Xiaofeng Dai

Since Specialization
Citations

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

Fields of papers citing papers by Xiaofeng Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaofeng Dai

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaofeng Dai. A scholar is included among the top collaborators of Xiaofeng Dai 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 Xiaofeng Dai. Xiaofeng Dai 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, Jingyi, Wen Qin, Wei Jin, et al.. (2025). TMEM160 inhibits KEAP1 to suppress ferroptosis and induce chemoresistance in gastric cancer. Cell Death and Disease. 16(1). 287–287. 3 indexed citations
2.
Dai, Xiaofeng, et al.. (2024). An effective electricity worker identification approach based on Yolov3-Arcface. Heliyon. 10(4). e26184–e26184. 3 indexed citations
3.
Dai, Xiaofeng, et al.. (2024). MDM2 inhibitors in cancer immunotherapy: Current status and perspective. Genes & Diseases. 11(6). 101279–101279. 10 indexed citations
5.
Dai, Xiaofeng, Dongyan Cai, Peiyu Wang, et al.. (2022). Cold atmospheric plasmas target breast cancer stemness via modulating AQP3-19Y mediated AQP3-5K and FOXO1 K48-ubiquitination. International Journal of Biological Sciences. 18(8). 3544–3561. 34 indexed citations
6.
Wang, Peiyu, Renwu Zhou, Patrick B. Thomas, et al.. (2021). Epithelial-to-Mesenchymal Transition Enhances Cancer Cell Sensitivity to Cytotoxic Effects of Cold Atmospheric Plasmas in Breast and Bladder Cancer Systems. Cancers. 13(12). 2889–2889. 48 indexed citations
7.
Ravula, Thirupathi, Bikash R. Sahoo, Xiaofeng Dai, & Ayyalusamy Ramamoorthy. (2020). Natural-abundance 17 O NMR spectroscopy of magnetically aligned lipid nanodiscs. Chemical Communications. 56(69). 9998–10001. 11 indexed citations
8.
Kaushik, Aman Chandra, Aamir Mehmood, Xiaofeng Dai, & Dong‐Qing Wei. (2020). WeiBI (web-based platform): Enriching integrated interaction network with increased coverage and functional proteins from genome-wide experimental OMICS data. Scientific Reports. 10(1). 5618–5618. 3 indexed citations
9.
Hu, Fei, Xiaofeng Dai, Zhaojun Li, et al.. (2020). Impact of continuous low water stage on the breeding environment of Oncomelania hupensis: a case study of Poyang Lake area in China. Infectious Diseases of Poverty. 9(1). 103–103. 11 indexed citations
10.
Yin, Weihua, Jie Xu, Li C, et al.. (2020). Circular RNA circ_0007142 Facilitates Colorectal Cancer Progression by Modulating CDC25A Expression via miR-122-5p. SHILAP Revista de lepidopterología. 3 indexed citations
11.
Jun, Ji Hye, et al.. (2019). The role of long non-coding RNA GAS5 in cancers. SHILAP Revista de lepidopterología. 3 indexed citations
12.
Kaushik, Aman Chandra, Aamir Mehmood, Shaoliang Peng, et al.. (2019). A-CaMP: a tool for anti-cancer and antimicrobial peptide generation. Journal of Biomolecular Structure and Dynamics. 39(1). 285–293. 13 indexed citations
13.
Zhang, Jian, Dongmei Zhao, Quan Li, et al.. (2019). Upregulation of LSD1 promotes migration and invasion in gastric cancer through facilitating EMT. SHILAP Revista de lepidopterología. 1 indexed citations
14.
Yang, Yankun, et al.. (2018). Correlation between Protein Primary Structure and Soluble Expression Level of HSA dAb in Escherichia coli. Food Technology and Biotechnology. 56(1). 101–109. 5 indexed citations
15.
Li, Yang, et al.. (2016). Exploring the intrinsic differences among breast tumor subtypes defined using immunohistochemistry markers based on the decision tree. Scientific Reports. 6(1). 35773–35773. 22 indexed citations
16.
Dai, Xiaofeng, et al.. (2016). A NASBA on microgel-tethered molecular-beacon microarray for real-time microbial molecular diagnostics. The Analyst. 142(1). 147–155. 17 indexed citations
17.
Yin, Hong, Xiaofeng Dai, Yali Ge, et al.. (2009). Monitoring of acute axonal injury in the swine spinal cord with EAE by diffusion tensor imaging. Journal of Magnetic Resonance Imaging. 30(2). 277–285. 19 indexed citations
18.
Dai, Xiaofeng, Ling Xiao, Yuhua Wu, Gang Wu, & Changming Lu. (2007). An Overview of Plant Fatty Acid Desaturases and the Coding Genes. Chinese Bulletin of Botany. 24(1). 105. 2 indexed citations
19.
Dai, Xiaofeng, Yan Bai, & Peixiang Cai. (2006). A HCV Electrochemical Immunosensor for the Detection of Serum Sample. Journal of Instrumental Analysis. 1 indexed citations
20.
Chen, Jieyin & Xiaofeng Dai. (2005). Research advance on the resistant mechanism of cotton against Verticillium Wilt. 3(3). 427–435. 1 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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