Xiaofeng Jiang

5.6k total citations · 1 hit paper
73 papers, 4.4k citations indexed

About

Xiaofeng Jiang is a scholar working on Molecular Biology, Immunology and Oncology. According to data from OpenAlex, Xiaofeng Jiang has authored 73 papers receiving a total of 4.4k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Molecular Biology, 24 papers in Immunology and 16 papers in Oncology. Recurrent topics in Xiaofeng Jiang's work include Immune Cell Function and Interaction (12 papers), RNA modifications and cancer (12 papers) and Cancer-related molecular mechanisms research (10 papers). Xiaofeng Jiang is often cited by papers focused on Immune Cell Function and Interaction (12 papers), RNA modifications and cancer (12 papers) and Cancer-related molecular mechanisms research (10 papers). Xiaofeng Jiang collaborates with scholars based in China, United States and Japan. Xiaofeng Jiang's co-authors include Brendan D. Price, Yingli Sun, Shujuan Chen, Norvin D. Fernandes, F. Stephen Hodi, Ye Xu, Jun Zhou, Anita Giobbie‐Hurder, Jennifer A. Wargo and Ping Xue and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Oncology.

In The Last Decade

Xiaofeng Jiang

71 papers receiving 4.4k citations

Hit Papers

A role for the Tip60 histone acetyltransferase in the ace... 2005 2026 2012 2019 2005 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
Xiaofeng Jiang China 35 3.0k 1.3k 984 865 337 73 4.4k
Wei Qiu China 40 2.5k 0.8× 860 0.7× 1.1k 1.1× 691 0.8× 432 1.3× 112 4.3k
Xing Huang China 29 1.7k 0.6× 1.2k 0.9× 658 0.7× 838 1.0× 368 1.1× 110 3.2k
Ann Zeuner Italy 35 2.4k 0.8× 1.4k 1.1× 867 0.9× 879 1.0× 193 0.6× 72 4.3k
Yi Xiao China 23 2.1k 0.7× 1.7k 1.3× 966 1.0× 1.2k 1.4× 195 0.6× 76 4.2k
Kian‐Huat Lim United States 29 2.4k 0.8× 1.6k 1.3× 752 0.8× 781 0.9× 260 0.8× 97 4.2k
Adam I. Riker United States 35 2.2k 0.7× 1.6k 1.3× 1.0k 1.0× 1.4k 1.6× 312 0.9× 100 4.4k
Shawn G. Clouthier United States 29 2.2k 0.7× 2.1k 1.7× 1.1k 1.1× 1.2k 1.4× 168 0.5× 51 4.7k
Anping Li China 35 2.7k 0.9× 1.9k 1.5× 1.2k 1.2× 1.2k 1.3× 191 0.6× 54 4.9k
Nehad M. Alajez Qatar 37 3.0k 1.0× 922 0.7× 2.2k 2.2× 575 0.7× 225 0.7× 120 4.4k

Countries citing papers authored by Xiaofeng Jiang

Since Specialization
Citations

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

Fields of papers citing papers by Xiaofeng Jiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaofeng Jiang

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaofeng Jiang. A scholar is included among the top collaborators of Xiaofeng Jiang 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 Jiang. Xiaofeng Jiang 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.
Sun, Yu, et al.. (2025). IFN-γ downregulates miR-4319 to enhance NLRC5 and MHC-I expression in MHC-I-deficient breast cancer cells. Cancer Biology & Therapy. 26(1). 2523621–2523621. 1 indexed citations
3.
Zhao, Liang, Zhi Yang, He Zhao, et al.. (2024). Demethylases in tumors and the tumor microenvironment: Key modifiers of N6-methyladenosine methylation. Biomedicine & Pharmacotherapy. 174. 116479–116479. 5 indexed citations
4.
5.
Kan, Mengyuan, Maoyun Sun, Xiaofeng Jiang, et al.. (2022). CEBPD modulates the airway smooth muscle transcriptomic response to glucocorticoids. Respiratory Research. 23(1). 193–193. 4 indexed citations
6.
Liu, Zhaoyuan, Zhongjian Xie, Wenting Li, et al.. (2021). Photodynamic immunotherapy of cancers based on nanotechnology: recent advances and future challenges. Journal of Nanobiotechnology. 19(1). 160–160. 89 indexed citations
7.
Chen, De, Yanjie Wang, Xiaofeng Jiang, et al.. (2020). E3 ligase ZFP91 inhibits Hepatocellular Carcinoma Metabolism Reprogramming by regulating PKM splicing. Theranostics. 10(19). 8558–8572. 55 indexed citations
8.
Yang, Zhi, Xiaodi Jiang, Zhenghou Zhang, et al.. (2020). HDAC3-dependent transcriptional repression of FOXA2 regulates FTO/m6A/MYC signaling to contribute to the development of gastric cancer. Cancer Gene Therapy. 28(1-2). 141–155. 68 indexed citations
9.
Sun, Yu, et al.. (2019). Promotion on NLRC5 upregulating MHC-I expression by IFN-γ in MHC-I–deficient breast cancer cells. Immunologic Research. 67(6). 497–504. 14 indexed citations
10.
Zhang, Wenchao, Xiaofeng Jiang, Jinghui Bao, et al.. (2018). Exosomes in Pathogen Infections: A Bridge to Deliver Molecules and Link Functions. Frontiers in Immunology. 9. 90–90. 158 indexed citations
11.
Jiang, Xiaodi, Xiaofeng Jiang, & Zhi Yang. (2018). NRAGE confers poor prognosis and promotes proliferation, invasion, and chemoresistance in gastric cancer. Gene. 668. 114–120. 8 indexed citations
12.
Himes, Blanca E., Xiaofeng Jiang, Peter J. Wagner, et al.. (2014). RNA-Seq Transcriptome Profiling Identifies CRISPLD2 as a Glucocorticoid Responsive Gene that Modulates Cytokine Function in Airway Smooth Muscle Cells. PLoS ONE. 9(6). e99625–e99625. 96 indexed citations
13.
Jiang, Xiaofeng, Jun Zhou, Anita Giobbie‐Hurder, Jennifer A. Wargo, & F. Stephen Hodi. (2012). The Activation of MAPK in Melanoma Cells Resistant to BRAF Inhibition Promotes PD-L1 Expression That Is Reversible by MEK and PI3K Inhibition. Clinical Cancer Research. 19(3). 598–609. 406 indexed citations
15.
Guo, Dawei, Hongbin Zhang, Wenyu Sun, et al.. (2011). More expressions of BDNF and TrkB in multiple hepatocellular carcinoma and anti-BDNF or K252a induced apoptosis, supressed invasion of HepG2 and HCCLM3 cells. Journal of Experimental & Clinical Cancer Research. 30(1). 97–97. 42 indexed citations
16.
Lin, Chi‐Iou, Edward E. Whang, David B. Donner, et al.. (2010). Autophagy Induction with RAD001 Enhances Chemosensitivity and Radiosensitivity through Met Inhibition in Papillary Thyroid Cancer. Molecular Cancer Research. 8(9). 1217–1226. 95 indexed citations
17.
Sun, Yingli, Xiaofeng Jiang, & Brendan D. Price. (2010). Tip60: Connecting chromatin to DNA damage signaling. Cell Cycle. 9(5). 930–936. 178 indexed citations
18.
Lin, Chi‐Iou, Edward E. Whang, David B. Donner, et al.. (2009). Galectin-3 Targeted Therapy with a Small Molecule Inhibitor Activates Apoptosis and Enhances Both Chemosensitivity and Radiosensitivity in Papillary Thyroid Cancer. Molecular Cancer Research. 7(10). 1655–1662. 55 indexed citations
19.
Sun, Yingli, Xiaofeng Jiang, Shujuan Chen, Norvin D. Fernandes, & Brendan D. Price. (2005). A role for the Tip60 histone acetyltransferase in the acetylation and activation of ATM. Proceedings of the National Academy of Sciences. 102(37). 13182–13187. 571 indexed citations breakdown →
20.
Jiang, Xiaofeng, Takeshi Shimaoka, Satoshi Kojo, et al.. (2005). Cutting Edge: Critical Role of CXCL16/CXCR6 in NKT Cell Trafficking in Allograft Tolerance. The Journal of Immunology. 175(4). 2051–2055. 64 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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