Rong Tang

1.5k total citations
69 papers, 1.1k citations indexed

About

Rong Tang is a scholar working on Molecular Biology, Immunology and Nephrology. According to data from OpenAlex, Rong Tang has authored 69 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Molecular Biology, 23 papers in Immunology and 21 papers in Nephrology. Recurrent topics in Rong Tang's work include Vasculitis and related conditions (14 papers), Renal Diseases and Glomerulopathies (12 papers) and Chronic Kidney Disease and Diabetes (10 papers). Rong Tang is often cited by papers focused on Vasculitis and related conditions (14 papers), Renal Diseases and Glomerulopathies (12 papers) and Chronic Kidney Disease and Diabetes (10 papers). Rong Tang collaborates with scholars based in China, Australia and United States. Rong Tang's co-authors include Qiaoling Zhou, Hans‐Georg Müller, Wallace Y. Langdon, Jian Zhang, Xia Li, Zhiguang Zhou, Ting Zhong, Weisheng Peng, Ting Meng and Yong Zhong and has published in prestigious journals such as Nature Medicine, Nature Communications and The Journal of Immunology.

In The Last Decade

Rong Tang

64 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rong Tang China 20 383 273 224 145 144 69 1.1k
Seigo Ito Japan 18 341 0.9× 191 0.7× 169 0.8× 119 0.8× 74 0.5× 59 1.2k
Bo Sun China 18 423 1.1× 179 0.7× 219 1.0× 72 0.5× 79 0.5× 58 1.3k
Jae Wook Lee South Korea 20 705 1.8× 123 0.5× 252 1.1× 104 0.7× 250 1.7× 39 1.3k
Fangyuan Yang China 22 603 1.6× 293 1.1× 86 0.4× 79 0.5× 71 0.5× 50 1.4k
Sharad Purohit United States 23 431 1.1× 290 1.1× 75 0.3× 279 1.9× 72 0.5× 75 1.4k
Chenguang Ding China 19 464 1.2× 207 0.8× 135 0.6× 69 0.5× 199 1.4× 84 1.2k
Felix Eichinger United States 16 654 1.7× 181 0.7× 782 3.5× 227 1.6× 178 1.2× 28 1.6k
David T. Berg United States 23 522 1.4× 171 0.6× 284 1.3× 185 1.3× 116 0.8× 47 1.6k
Sean Eddy United States 22 800 2.1× 250 0.9× 282 1.3× 124 0.9× 187 1.3× 44 1.6k
Karol L. Thompson United States 24 857 2.2× 100 0.4× 231 1.0× 198 1.4× 95 0.7× 49 1.6k

Countries citing papers authored by Rong Tang

Since Specialization
Citations

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

Fields of papers citing papers by Rong Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rong Tang

This figure shows the co-authorship network connecting the top 25 collaborators of Rong Tang. A scholar is included among the top collaborators of Rong 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 Rong Tang. Rong 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
1.
Zou, H.‐Y., et al.. (2025). Identification of a New HLADRB1 Allele in a Chinese Han Individual, HLA‐DRB1*12:109. HLA. 105(4). e70128–e70128.
2.
Tan, Zhen, Jianhui Yang, Yueyue Chen, et al.. (2025). m6A demethylase FTO drives pancreatic ductal adenocarcinoma tumorigenesis and metastasis through remodeling PFKM mediated glycolysis. Cell Death and Disease. 16(1). 784–784.
3.
Tang, Rong, et al.. (2025). NETs: a new target for autoimmune disease. Frontiers in Immunology. 16. 1646527–1646527. 1 indexed citations
4.
Zhu, Yi‐Cheng, et al.. (2025). Deciphering mechanical cues in the microenvironment: from non-malignant settings to tumor progression. Biomarker Research. 13(1). 11–11. 11 indexed citations
5.
Zhong, Ting, Xinyu Li, Xinyu Li, et al.. (2024). CXCL12-CXCR4 mediates CD57+ CD8+ T cell responses in the progression of type 1 diabetes. Journal of Autoimmunity. 143. 103171–103171. 8 indexed citations
6.
Shen, Chanjuan, Ting Meng, Wei Lin, et al.. (2024). Clinical features and prognosis of ANCA-associated vasculitis patients who were double-seropositive for myeloperoxidase-ANCA and proteinase 3-ANCA. Clinical and Experimental Medicine. 24(1). 66–66. 3 indexed citations
7.
Zhong, Ting, Xinyu Li, Rong Tang, et al.. (2024). TGF-β-mediated crosstalk between TIGIT+ Tregs and CD226+CD8+ T cells in the progression and remission of type 1 diabetes. Nature Communications. 15(1). 8894–8894. 8 indexed citations
8.
Xiao, Zhou, Wei Lin, Yingli Zhang, et al.. (2023). Acute interstitial nephritis caused by ANCA-associated vasculitis: a case based review. Clinical Rheumatology. 43(3). 1227–1244. 4 indexed citations
9.
Tang, Rong, Wallace Y. Langdon, & Jian Zhang. (2022). Negative regulation of receptor tyrosine kinases by ubiquitination: Key roles of the Cbl family of E3 ubiquitin ligases. Frontiers in Endocrinology. 13. 971162–971162. 22 indexed citations
10.
Meng, Ting, Chanjuan Shen, Joshua D. Ooi, et al.. (2022). The effect of discontinuation of maintenance therapy in Chinese patients with MPO-ANCA associated vasculitis who were in long-term stable remission. Clinical and Experimental Medicine. 23(2). 357–364. 1 indexed citations
11.
Shen, Chanjuan, Ting Meng, Joshua D. Ooi, et al.. (2022). Clinical features and prognosis of MPO-ANCA and anti-GBM double-seropositive patients. Frontiers in Immunology. 13. 991469–991469. 9 indexed citations
12.
Tang, Rong, et al.. (2021). Quality Control of DNA Extracted from All-Cell Pellets After Cryopreservation for More Than 10 Years. Biopreservation and Biobanking. 20(3). 211–216. 4 indexed citations
13.
Tang, Rong, Ting Meng, Wei Lin, et al.. (2021). A Partial Picture of the Single-Cell Transcriptomics of Human IgA Nephropathy. Frontiers in Immunology. 12. 645988–645988. 58 indexed citations
14.
Huang, Li, Chanjuan Shen, Yong Zhong, et al.. (2020). The association of neutrophil-to-lymphocyte ratio with all-cause mortality in Chinese patients with MPO-ANCA associated vasculitis. Clinical and Experimental Medicine. 20(3). 401–408. 19 indexed citations
15.
Tang, Rong, Wallace Y. Langdon, & Jian Zhang. (2018). Regulation of immune responses by E3 ubiquitin ligase Cbl-b. Cellular Immunology. 340. 103878–103878. 58 indexed citations
16.
Chen, Anqi, Li Zhang, Shaohua Gu, et al.. (2015). Investigation of TtrD, an expressing recombinant fusion tag, in Escherichia coli. Protein Expression and Purification. 120. 65–71. 3 indexed citations
17.
Meng, Ting, Xiaozhao Li, Xiang Ao, et al.. (2014). Hemolytic Streptococcus May Exacerbate Kidney Damage in IgA Nephropathy through CCL20 Response to the Effect of Th17 Cells. PLoS ONE. 9(9). e108723–e108723. 35 indexed citations
18.
Peng, Weisheng, Wenke Hao, Qiaoling Zhou, et al.. (2012). Smad7 gene transfer attenuates angiogenesis in peritoneal dialysis rats. Nephrology. 18(2). 138–147. 14 indexed citations
20.
Li, Yao, Yali Li, Rong Tang, et al.. (2002). Discovery and analysis of hepatocellular carcinoma genes using cDNA microarrays. Journal of Cancer Research and Clinical Oncology. 128(7). 369–379. 55 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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