Xiaojun Tang

5.2k total citations · 1 hit paper
151 papers, 4.1k citations indexed

About

Xiaojun Tang is a scholar working on Oncology, Molecular Biology and Immunology. According to data from OpenAlex, Xiaojun Tang has authored 151 papers receiving a total of 4.1k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Oncology, 42 papers in Molecular Biology and 34 papers in Immunology. Recurrent topics in Xiaojun Tang's work include Systemic Lupus Erythematosus Research (17 papers), Mesenchymal stem cell research (16 papers) and Fluorine in Organic Chemistry (12 papers). Xiaojun Tang is often cited by papers focused on Systemic Lupus Erythematosus Research (17 papers), Mesenchymal stem cell research (16 papers) and Fluorine in Organic Chemistry (12 papers). Xiaojun Tang collaborates with scholars based in China, United States and Hong Kong. Xiaojun Tang's co-authors include William R. Dolbier, Charles S. Thomoson, Zuxiao Zhang, Lingyun Sun, Genhong Yao, Zhuoya Zhang, Xuebing Feng, Jin Zhu, Dandan Wang and Yuan Mao and has published in prestigious journals such as Angewandte Chemie International Edition, Nature Communications and Journal of Clinical Oncology.

In The Last Decade

Xiaojun Tang

145 papers receiving 4.1k citations

Hit Papers

Efficient Cu‐catalyzed Atom Transfer Radical Addition Rea... 2015 2026 2018 2022 2015 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiaojun Tang China 35 1.3k 1.1k 945 770 704 151 4.1k
Hao Xie United States 31 810 0.6× 1.4k 1.3× 67 0.1× 630 0.8× 113 0.2× 143 3.7k
Hua Yang Canada 26 834 0.7× 370 0.3× 161 0.2× 475 0.6× 76 0.1× 92 2.3k
Graziella Pratesi Italy 42 3.7k 2.9× 758 0.7× 67 0.1× 3.9k 5.0× 493 0.7× 147 6.7k
Johannes Roesel Switzerland 23 1.5k 1.2× 255 0.2× 83 0.1× 419 0.5× 198 0.3× 36 2.8k
Sylvie M. Guichard United Kingdom 33 2.3k 1.8× 555 0.5× 28 0.0× 1.6k 2.0× 235 0.3× 96 4.0k
Hua Xie China 32 2.3k 1.8× 733 0.6× 38 0.0× 708 0.9× 261 0.4× 212 3.8k
Mark J. Suto United States 30 1.5k 1.2× 564 0.5× 47 0.0× 531 0.7× 164 0.2× 88 2.6k
Weiguang Wang United Kingdom 30 1.4k 1.1× 111 0.1× 79 0.1× 795 1.0× 247 0.4× 81 2.9k
Athanasios Yiotakis Greece 34 1.7k 1.4× 1.1k 1.0× 34 0.0× 1.3k 1.6× 83 0.1× 74 3.1k
Akio Hoshi Japan 24 1.0k 0.8× 373 0.3× 56 0.1× 861 1.1× 158 0.2× 231 2.4k

Countries citing papers authored by Xiaojun Tang

Since Specialization
Citations

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

Fields of papers citing papers by Xiaojun Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaojun Tang

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaojun Tang. A scholar is included among the top collaborators of Xiaojun Tang 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 Xiaojun Tang. Xiaojun Tang 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
2.
Wu, Dan, et al.. (2024). CFL1 restores the migratory capacity of bone marrow mesenchymal stem cells in primary Sjögren's syndrome by regulating CCR1 expression. International Immunopharmacology. 128. 111485–111485. 2 indexed citations
3.
Wu, Jie, Xiaojun Tang, Na Zhou, et al.. (2024). Study of Urinary Protein Biomarkers in Hereditary Angioedema. Journal of Investigational Allergology and Clinical Immunology. 35(5). 353–363.
4.
Tang, Xiaojun, et al.. (2024). Immune checkpoint inhibitors for patients with microsatellite instability-high colorectal cancer: protocol of a pooled analysis of clinical trials. Frontiers in Oncology. 13. 1331937–1331937. 2 indexed citations
5.
Tang, Xiaojun, et al.. (2024). Reduced mitochondrial-encoded NADH dehydrogenase 6 gene expression drives inflammatory CD4+T cells in patients with systemic lupus erythematosus. Free Radical Biology and Medicine. 213. 79–89. 6 indexed citations
6.
Zeng, Hao, Xiaojun Tang, Tian Xia, Yujie Liu, & Panwen Tian. (2023). Poor Response to Sintilimab Plus Chemotherapy in a Pulmonary Epithelioid Hemangioendothelioma Patient: A Case Report. Immunotherapy. 15(2). 77–83. 1 indexed citations
7.
Li, Xuefei, Yongjia Zhang, Mingxing Chen, et al.. (2023). The association of post–embryo transfer SARS-CoV-2 infection with early pregnancy outcomes in in vitro fertilization: a prospective cohort study. American Journal of Obstetrics and Gynecology. 230(4). 436.e1–436.e12. 29 indexed citations
9.
Li, Xuefei, et al.. (2022). Low LH level does not indicate poor IVF cycle outcomes with GnRh-a single trigger: a retrospective analysis. BMC Pregnancy and Childbirth. 22(1). 951–951. 5 indexed citations
10.
Cheng, Tao, et al.. (2021). Resolvin D1 Improves the Treg/Th17 Imbalance in Systemic Lupus Erythematosus Through miR-30e-5p. Frontiers in Immunology. 12. 668760–668760. 39 indexed citations
11.
Qi, Jingjing, Xiaojun Tang, Wenchao Li, et al.. (2020). Mesenchymal stem cells inhibited the differentiation of MDSCs via COX2/PGE2 in experimental sialadenitis. Stem Cell Research & Therapy. 11(1). 325–325. 29 indexed citations
12.
Li, Wenchao, Weiwei Chen, Saisai Huang, et al.. (2019). Infection with Opportunistic Bacteria Triggers Severe Pulmonary Inflammation in Lupus-Prone Mice. Mediators of Inflammation. 2019. 1–10. 2 indexed citations
13.
Yao, Genhong, Jingjing Qi, Zhuoya Zhang, et al.. (2018). Endothelial cell injury is involved in atherosclerosis and lupus symptoms in gld.apoE/ mice. International Journal of Rheumatic Diseases. 22(3). 488–496. 11 indexed citations
14.
Tang, Xiaojun, Yan Zhou, Wenjie Li, et al.. (2014). T cells expressing a LMP1-specific chimeric antigen receptor mediate antitumor effects against LMP1-positive nasopharyngeal carcinoma cells in vitro and in vivo. Journal of Biomedical Research. 28(6). 468–468. 75 indexed citations
15.
Yu, Ren, et al.. (2011). Change of bacteria and enzymes in the drainage fluid in patients with intestinal fistulas. 19(6). 383–386. 1 indexed citations
16.
Yang, Yi, et al.. (2010). Optimization of de-coloration technology for polysaccharides from longan pulp.. Transactions of the Chinese Society of Agricultural Machinery. 41(8). 146–155. 3 indexed citations
17.
Yang, Yi, et al.. (2010). Optimization of ultrasonic-enzyme-assisted extraction technology of polysaccharides from longan pulp.. Transactions of the Chinese Society of Agricultural Machinery. 41(5). 131–136. 7 indexed citations
18.
Zhang, Mingwei, Yuanming Sun, Yan Zhang, et al.. (2009). Study on optimal hydrolysis process for preparing rice bran short peptides with two enzymes.. Zhongguo nongye Kexue. 42(5). 1744–1750. 5 indexed citations
19.
Tang, Xiaojun. (2008). Study on the decolorization of polysaccharides from Litchi fruit with active carbon. Food Science and Technology International. 1 indexed citations
20.
Chen, Yicun, et al.. (2007). New mutations of Nogo-C in hepatocellular carcinoma. Molecular Biology Reports. 36(2). 377–380. 7 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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