Xingjun Jiang

3.0k total citations
106 papers, 2.0k citations indexed

About

Xingjun Jiang is a scholar working on Molecular Biology, Cancer Research and Genetics. According to data from OpenAlex, Xingjun Jiang has authored 106 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 57 papers in Molecular Biology, 28 papers in Cancer Research and 21 papers in Genetics. Recurrent topics in Xingjun Jiang's work include Glioma Diagnosis and Treatment (18 papers), MicroRNA in disease regulation (15 papers) and RNA modifications and cancer (14 papers). Xingjun Jiang is often cited by papers focused on Glioma Diagnosis and Treatment (18 papers), MicroRNA in disease regulation (15 papers) and RNA modifications and cancer (14 papers). Xingjun Jiang collaborates with scholars based in China, Saudi Arabia and United States. Xingjun Jiang's co-authors include Caiping Ren, Bin Zhu, Weidong Liu, Hongyi Xing, Ji Wang, Hecheng Zhu, Yan Wu, Quanwei Zhou, Lin Wan and Ming Zhao and has published in prestigious journals such as Biomaterials, Scientific Reports and Biochemical and Biophysical Research Communications.

In The Last Decade

Xingjun Jiang

99 papers receiving 2.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xingjun Jiang China 23 1.1k 493 298 294 245 106 2.0k
Guoquan Gao China 29 1.4k 1.3× 426 0.9× 210 0.7× 246 0.8× 124 0.5× 66 2.6k
Luca Beltrame Italy 22 947 0.9× 548 1.1× 335 1.1× 385 1.3× 259 1.1× 57 2.1k
Oliver Renner Spain 19 1.8k 1.7× 478 1.0× 223 0.7× 429 1.5× 156 0.6× 26 3.0k
Shiming He China 32 1.6k 1.5× 851 1.7× 256 0.9× 435 1.5× 385 1.6× 101 2.7k
Weiquan Zhu China 20 889 0.8× 226 0.5× 248 0.8× 201 0.7× 159 0.6× 42 2.1k
Lisette M. Acevedo United States 17 1.9k 1.8× 643 1.3× 290 1.0× 349 1.2× 197 0.8× 26 2.9k
Jian Zhong China 16 1.4k 1.3× 392 0.8× 542 1.8× 181 0.6× 208 0.8× 42 2.9k
Domenica Mangieri Italy 29 1.1k 1.0× 212 0.4× 282 0.9× 363 1.2× 134 0.5× 51 2.0k
Hao Ding China 27 1.6k 1.6× 497 1.0× 173 0.6× 392 1.3× 291 1.2× 113 2.8k
Tadahisa Shono Japan 21 956 0.9× 551 1.1× 317 1.1× 391 1.3× 138 0.6× 64 2.2k

Countries citing papers authored by Xingjun Jiang

Since Specialization
Citations

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

Fields of papers citing papers by Xingjun Jiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xingjun Jiang

This figure shows the co-authorship network connecting the top 25 collaborators of Xingjun Jiang. A scholar is included among the top collaborators of Xingjun 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 Xingjun Jiang. Xingjun 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.
Liu, Weidong, et al.. (2025). The role of non-coding RNA regulates stem cell programmed death in disease therapy. Non-coding RNA Research. 13. 57–70. 4 indexed citations
2.
Zhou, Quanwei, et al.. (2024). Machine learning algorithms for predicting glioma patient prognosis based on CD163+FPR3+ macrophage signature. npj Precision Oncology. 8(1). 201–201. 8 indexed citations
3.
Yin, Wen, et al.. (2023). A prognostic signature based on snoRNA predicts the overall survival of lower-grade glioma patients. Frontiers in Immunology. 14. 1138363–1138363. 1 indexed citations
4.
Li, Shasha, Hui Liu, Weidong Liu, et al.. (2023). ESRG is critical to maintain the cell survival and self-renewal/pluripotency of hPSCs by collaborating with MCM2 to suppress p53 pathway. International Journal of Biological Sciences. 19(3). 916–935. 11 indexed citations
5.
Wang, Cailin, et al.. (2023). SIRT3 ameliorates diabetes-associated cognitive dysfunction via regulating mitochondria-associated ER membranes. Journal of Translational Medicine. 21(1). 494–494. 35 indexed citations
6.
Xu, Hongjuan, Yihan Li, Ning Shi, et al.. (2023). FLOT2 promotes nasopharyngeal carcinoma progression through suppression of TGF-β pathway via facilitating CD109 expression. iScience. 27(1). 108580–108580. 4 indexed citations
8.
Zhu, Hecheng, Ming Zhao, Quanwei Zhou, et al.. (2022). Potential mechanisms underlying the promoting effects of 3D collagen scaffold culture on stemness and drug resistance of glioma cells. Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease. 1868(11). 166522–166522. 7 indexed citations
9.
Yao, Yi, Rong Ma, Zemin Wang, et al.. (2021). Dl-3-n-Butylphthalide Reduces Cognitive Deficits and Alleviates Neuropathology in P301S Tau Transgenic Mice. Frontiers in Neuroscience. 15. 620176–620176. 9 indexed citations
10.
Cao, Yudong, Ya Shi, Zhifeng Xiao, et al.. (2021). Contralateral Axon Sprouting but Not Ipsilateral Regeneration Is Responsible for Spontaneous Locomotor Recovery Post Spinal Cord Hemisection. Frontiers in Cellular Neuroscience. 15. 730348–730348. 6 indexed citations
11.
Liu, Hui, Shasha Li, Caiping Ren, et al.. (2020). Generation of an ESRG Pr-tdTomato reporter human embryonic stem cell line, CSUe011-A, using CRISPR/Cas9 editing. Stem Cell Research. 48. 101983–101983. 4 indexed citations
12.
Ren, Caiping, et al.. (2020). Advances in targeted therapy mainly based on signal pathways for nasopharyngeal carcinoma. Signal Transduction and Targeted Therapy. 5(1). 245–245. 70 indexed citations
13.
Yin, Wen, Guihua Tang, Quanwei Zhou, et al.. (2019). Expression Profile Analysis Identifies a Novel Five-Gene Signature to Improve Prognosis Prediction of Glioblastoma. Frontiers in Genetics. 10. 419–419. 50 indexed citations
14.
Jiang, Xingjun, Hongyi Xing, Jing Wu, et al.. (2017). Prognostic value of thyroid hormones in acute ischemic stroke – a meta analysis. Scientific Reports. 7(1). 16256–16256. 46 indexed citations
15.
Feng, Cheng-Yuan, Xianrui Yuan, Qing Liu, et al.. (2016). Microsurgical Management of Craniopharyngiomas via a Unilateral Subfrontal Approach: A Retrospective Study of 177 Continuous Cases. World Neurosurgery. 90. 454–468. 17 indexed citations
16.
Yang, Jing, Xingjun Jiang, Yuanyuan Zhang, et al.. (2015). Synthesis and quantitative structure–activity relationships study for phenylpropenamide derivatives as inhibitors of hepatitis B virus replication. European Journal of Medicinal Chemistry. 99. 82–91. 15 indexed citations
17.
Shi, Jia, Caiping Ren, Hui Liu, et al.. (2015). An ESRG-interacting protein, COXII, is involved in pro-apoptosis of human embryonic stem cells. Biochemical and Biophysical Research Communications. 460(2). 130–135. 6 indexed citations
18.
Zuo, Jianhong, Chunshun Zhang, Caiping Ren, et al.. (2014). Secretory leukocyte protease inhibitor is a proliferation and survival factor for pancreatic cancer cells. Clinical & Translational Oncology. 17(4). 314–321. 12 indexed citations
19.
Zhou, Wen, Xiangling Feng, Caiping Ren, et al.. (2013). Over-expression of BCAT1, a c-Myc target gene, induces cell proliferation, migration and invasion in nasopharyngeal carcinoma. Molecular Cancer. 12(1). 53–53. 121 indexed citations
20.
Zhang, Hongbo, Weidong Liu, Xiangling Feng, et al.. (2011). Identification of ABCG2+ cells in nasopharyngeal carcinoma cells. Oncology Reports. 27(4). 1177–1187. 11 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