Hongjun Su

994 total citations
32 papers, 799 citations indexed

About

Hongjun Su is a scholar working on Molecular Biology, Immunology and Cancer Research. According to data from OpenAlex, Hongjun Su has authored 32 papers receiving a total of 799 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 9 papers in Immunology and 9 papers in Cancer Research. Recurrent topics in Hongjun Su's work include Spondyloarthritis Studies and Treatments (7 papers), Bone and Joint Diseases (7 papers) and Mesenchymal stem cell research (5 papers). Hongjun Su is often cited by papers focused on Spondyloarthritis Studies and Treatments (7 papers), Bone and Joint Diseases (7 papers) and Mesenchymal stem cell research (5 papers). Hongjun Su collaborates with scholars based in China, France and United States. Hongjun Su's co-authors include Zhongyu Xie, Peng Wang, Wen Deng, Yanfeng Wu, Xiaohua Wu, Shuizhong Cen, Huiyong Shen, Jinteng Li, Huiyong Shen and Yuxi Li and has published in prestigious journals such as Cell Death and Differentiation, Virology and Stem Cells.

In The Last Decade

Hongjun Su

32 papers receiving 788 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hongjun Su China 17 338 194 165 148 143 32 799
Yi Yan China 14 447 1.3× 126 0.6× 77 0.5× 86 0.6× 41 0.3× 24 727
Alan Tin‐Lun Lam Singapore 21 479 1.4× 169 0.9× 55 0.3× 68 0.5× 166 1.2× 43 1.2k
Youming Zhu China 16 390 1.2× 240 1.2× 50 0.3× 45 0.3× 107 0.7× 31 747
Xiaoshan Yang China 17 687 2.0× 236 1.2× 21 0.1× 199 1.3× 83 0.6× 32 1.0k
Xinyu Qiu China 10 510 1.5× 146 0.8× 17 0.1× 111 0.8× 120 0.8× 27 808
Bingbing Xu China 16 285 0.8× 49 0.3× 115 0.7× 37 0.3× 56 0.4× 55 720
Stephan Reitinger Austria 12 262 0.8× 129 0.7× 41 0.2× 40 0.3× 297 2.1× 16 713
Elisa Tremante Italy 18 413 1.2× 77 0.4× 28 0.2× 316 2.1× 59 0.4× 27 983
Gijung Kwak South Korea 16 683 2.0× 176 0.9× 21 0.1× 290 2.0× 56 0.4× 27 1.4k

Countries citing papers authored by Hongjun Su

Since Specialization
Citations

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

Fields of papers citing papers by Hongjun Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hongjun Su

This figure shows the co-authorship network connecting the top 25 collaborators of Hongjun Su. A scholar is included among the top collaborators of Hongjun Su 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 Hongjun Su. Hongjun Su 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.
Jin, Hao, et al.. (2025). YTHDC2 manipulates anti-tumoral macrophage polarization and predicts favorable outcomes in triple negative breast cancer. npj Precision Oncology. 9(1). 119–119. 2 indexed citations
2.
3.
Sun, Zhuoyu, Wei He, Hong Zhu, et al.. (2022). Development of Clinical Risk Scores for Detection of COVID-19 in Suspected Patients During a Local Outbreak in China: A Retrospective Cohort Study. International Journal of Public Health. 67. 1604794–1604794. 2 indexed citations
4.
Zhang, Yixi, Xiao-Jing Luo, Shunjun Fu, et al.. (2020). Gelsolin Promotes Cancer Progression by Regulating Epithelial-Mesenchymal Transition in Hepatocellular Carcinoma and Correlates with a Poor Prognosis. Journal of Oncology. 2020. 1–10. 22 indexed citations
5.
Wu, Xiaohua, Mengjun Ma, Peng Wang, et al.. (2019). α2-HS Glycoprotein in Plasma Extracellular Vesicles Inhibits the Osteogenic Differentiation of Human Mesenchymal Stromal Cells In Vitro. Stem Cells International. 2019. 1–13. 3 indexed citations
6.
Liu, Zhenhua, Peng Wang, Shuizhong Cen, et al.. (2019). Increased BMPR1A Expression Enhances the Adipogenic Differentiation of Mesenchymal Stem Cells in Patients with Ankylosing Spondylitis. Stem Cells International. 2019. 1–13. 12 indexed citations
7.
Li, Yuxi, Lin Huang, Zhaopeng Cai, et al.. (2019). A Study of the Immunoregulatory Function of TLR3 and TLR4 on Mesenchymal Stem Cells in Ankylosing Spondylitis. Stem Cells and Development. 28(20). 1398–1412. 18 indexed citations
8.
Li, Jinteng, Peng Wang, Zhongyu Xie, et al.. (2019). TRAF4 positively regulates the osteogenic differentiation of mesenchymal stem cells by acting as an E3 ubiquitin ligase to degrade Smurf2. Cell Death and Differentiation. 26(12). 2652–2666. 52 indexed citations
9.
Tang, Su’an, Zhongyu Xie, Peng Wang, et al.. (2018). LncRNA-OG Promotes the Osteogenic Differentiation of Bone Marrow-Derived Mesenchymal Stem Cells Under the Regulation of hnRNPK. Stem Cells. 37(2). 270–283. 72 indexed citations
10.
Liu, Zhenhua, Liangbin Gao, Peng Wang, et al.. (2017). TNF-αInduced the Enhanced Apoptosis of Mesenchymal Stem Cells in Ankylosing Spondylitis by Overexpressing TRAIL-R2. Stem Cells International. 2017. 1–14. 18 indexed citations
11.
Li, Jinteng, Peng Wang, Zhongyu Xie, et al.. (2017). Elevated TRAF4 expression impaired LPS-induced autophagy in mesenchymal stem cells from ankylosing spondylitis patients. Experimental & Molecular Medicine. 49(6). e343–e343. 12 indexed citations
12.
Xie, Zhongyu, Jinteng Li, Peng Wang, et al.. (2016). Differential Expression Profiles of Long Noncoding RNA and mRNA of Osteogenically Differentiated Mesenchymal Stem Cells in Ankylosing Spondylitis. The Journal of Rheumatology. 43(8). 1523–1531. 37 indexed citations
13.
Xie, Zhongyu, Peng Wang, Jinteng Li, et al.. (2016). MCP1 triggers monocyte dysfunctions during abnormal osteogenic differentiation of mesenchymal stem cells in ankylosing spondylitis. Journal of Molecular Medicine. 95(2). 143–154. 38 indexed citations
14.
Gao, Liangbin, Shuizhong Cen, Peng Wang, et al.. (2016). Autophagy Improves the Immunosuppression of CD4+ T Cells by Mesenchymal Stem Cells Through Transforming Growth Factor-β1. Stem Cells Translational Medicine. 5(11). 1496–1505. 54 indexed citations
15.
Xie, Zhongyu, Peng Wang, Yuxi Li, et al.. (2015). Imbalance Between Bone Morphogenetic Protein 2 and Noggin Induces Abnormal Osteogenic Differentiation of Mesenchymal Stem Cells in Ankylosing Spondylitis. Arthritis & Rheumatology. 68(2). 430–440. 96 indexed citations
16.
Xu, Haidong, Hongjun Su, Shanshan Liu, et al.. (2014). Identification of mud crab reovirus VP12 and its interaction with the voltage-dependent anion-selective channel protein of mud crab Scylla paramamosain. Fish & Shellfish Immunology. 44(1). 224–231. 4 indexed citations
17.
Li, Yinyin, Hongjun Su, Kunpeng Li, et al.. (2012). Structural insights into the classification of Mud Crab Reovirus. Virus Research. 166(1-2). 116–120. 15 indexed citations
18.
Lü, Ling, Hongjun Su, Guang Li, et al.. (2011). Sequence analysis of 12 genome segments of mud crab reovirus (MCRV). Virology. 422(2). 185–194. 36 indexed citations
19.
Zhang, Rui, Jianguo He, Hongjun Su, et al.. (2010). Monoclonal Antibodies Produced Against VP3 of a Novel Mud Crab Dicistrovirus. Hybridoma. 29(5). 437–440. 3 indexed citations
20.
Zhang, Rui, Jianguo He, Hongjun Su, et al.. (2010). Identification of the structural proteins of VP1 and VP2 of a novel mud crab dicistrovirus. Journal of Virological Methods. 171(2). 323–328. 16 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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