Xiaoshan Tang

937 total citations
30 papers, 525 citations indexed

About

Xiaoshan Tang is a scholar working on Molecular Biology, Immunology and Materials Chemistry. According to data from OpenAlex, Xiaoshan Tang has authored 30 papers receiving a total of 525 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 6 papers in Immunology and 5 papers in Materials Chemistry. Recurrent topics in Xiaoshan Tang's work include Renal Diseases and Glomerulopathies (4 papers), Renal and related cancers (4 papers) and Diamond and Carbon-based Materials Research (3 papers). Xiaoshan Tang is often cited by papers focused on Renal Diseases and Glomerulopathies (4 papers), Renal and related cancers (4 papers) and Diamond and Carbon-based Materials Research (3 papers). Xiaoshan Tang collaborates with scholars based in China, United States and Iceland. Xiaoshan Tang's co-authors include Yu Fang, Xiaoxiao Cai, Xu Zhang, Yuanzhi Xu, Chenyuan Xu, Yun Shen, Jing Wang, Li Fang, Changwei Zou and Feng Liu and has published in prestigious journals such as Chemical Communications, Annals of the New York Academy of Sciences and Optics Express.

In The Last Decade

Xiaoshan Tang

30 papers receiving 518 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiaoshan Tang China 13 213 89 71 70 63 30 525
James Michael Hochrein United States 13 218 1.0× 80 0.9× 24 0.3× 7 0.1× 57 0.9× 19 547
Jiarui Wang China 13 150 0.7× 73 0.8× 16 0.2× 22 0.3× 7 0.1× 72 492
Naohiro Yamada Japan 15 98 0.5× 102 1.1× 68 1.0× 280 4.0× 16 0.3× 44 836
Zhongcheng Liu China 17 253 1.2× 26 0.3× 9 0.1× 23 0.3× 10 0.2× 83 767
Chaohui Hu China 11 111 0.5× 64 0.7× 16 0.2× 29 0.4× 8 0.1× 34 365
Mengnan Xu China 19 197 0.9× 211 2.4× 4 0.1× 67 1.0× 18 0.3× 60 1.1k
Yuki Fukuda Japan 11 110 0.5× 88 1.0× 11 0.2× 23 0.3× 7 0.1× 22 537
Jiahui Lv China 13 202 0.9× 150 1.7× 9 0.1× 8 0.1× 15 0.2× 29 548
H. Hirano Japan 8 504 2.4× 95 1.1× 25 0.4× 119 1.7× 3 0.0× 18 721

Countries citing papers authored by Xiaoshan Tang

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoshan Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaoshan Tang

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaoshan Tang. A scholar is included among the top collaborators of Xiaoshan 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 Xiaoshan Tang. Xiaoshan 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.
Wang, Chunyan, Jing Chen, Xiaoyan Fang, et al.. (2024). Protein-losing enteropathy as a new phenotype in atypical hemolytic uremic syndrome caused by CD46 gene mutation. Pediatric Nephrology. 39(12). 3513–3520. 1 indexed citations
2.
3.
Tang, Xiaoshan, Qian Shen, Jing Chen, et al.. (2022). Duration of initial prednisolone therapy for first episode of childhood nephrotic syndrome based on time to response. Frontiers in Pediatrics. 10. 1043285–1043285. 1 indexed citations
4.
Tang, Xiaoshan, Qian Shen, Jia Rao, et al.. (2022). Protective role of endorepellin in renal developmental programming. Frontiers in Cell and Developmental Biology. 10. 929556–929556. 1 indexed citations
5.
Shen, Qian, Yi­hui Zhai, Jing Chen, et al.. (2022). Risk factors for breakthrough urinary tract infection in children with vesicoureteral reflux receiving continuous antibiotic prophylaxis. Translational Pediatrics. 11(1). 1–9. 5 indexed citations
6.
7.
Liu, Jiaojiao, Jialu Liu, Xiaoshan Tang, et al.. (2021). Characteristics and outcomes of glomerulonephritis with membranoproliferative pattern in children. Translational Pediatrics. 10(11). 2985–2996. 4 indexed citations
8.
Fang, Xiaoyan, Xiaoshan Tang, Qi Cao, et al.. (2020). COQ8B nephropathy: Early detection and optimal treatment. Molecular Genetics & Genomic Medicine. 8(8). e1360–e1360. 15 indexed citations
9.
Cen, Xiaohong, et al.. (2018). Synthesis, structure-activity relationships and preliminary mechanism study of N-benzylideneaniline derivatives as potential TLR2 inhibitors. Bioorganic & Medicinal Chemistry. 26(8). 2041–2050. 14 indexed citations
10.
Chen, Zhipeng, Xiaohong Cen, Junjie Yang, et al.. (2018). Structure-based discovery of a specific TLR1–TLR2 small molecule agonist from the ZINC drug library database. Chemical Communications. 54(81). 11411–11414. 23 indexed citations
11.
Cai, Changyang, Wenjia Wang, Mengqi Xiang, et al.. (2017). An Efficient Plant Regeneration and Transformation System of Ma Bamboo (Dendrocalamus latiflorus Munro) Started from Young Shoot as Explant. Frontiers in Plant Science. 8. 1298–1298. 51 indexed citations
12.
Wang, Jing, Yun Shen, Yiming Zhang, et al.. (2016). Recent Evidence of the Regulatory Role of PPARs in Neural Stem Cells and Their Underlying Mechanisms for Neuroprotective Effects. Current Stem Cell Research & Therapy. 11(3). 188–196. 4 indexed citations
13.
Xu, Chenyuan, Jing Wang, Yun Shen, et al.. (2016). Cross-Talking Between PPAR and WNT Signaling and its Regulation in Mesenchymal Stem Cell Differentiation. Current Stem Cell Research & Therapy. 11(3). 247–254. 81 indexed citations
14.
Zhang, Xu, et al.. (2016). Molecular Mechanisms of PPAR-γ; Governing MSC Osteogenic and Adipogenic Differentiation. Current Stem Cell Research & Therapy. 11(3). 255–264. 99 indexed citations
15.
Shen, Qian, Hong Xu, Li Sun, et al.. (2015). [Etiological analysis of 264 cases with chronic kidney disease stage 2 to 5 in children].. PubMed. 53(9). 665–9. 5 indexed citations
16.
Tang, Xiaoshan, Qian Shen, Jing Chen, Xiliang Zha, & Hong Xu. (2015). Maternal protein restriction reduces perlecan at mid‐metanephrogenesis in rats. Nephrology. 21(3). 200–208. 3 indexed citations
17.
Xu, Yuanzhi, Jing Wang, Runyi Mao, et al.. (2014). Development Course and an Application Strategy for Induced Pluripotent Stem Cells in Regenerative Medicine. Current Stem Cell Research & Therapy. 9(3). 244–253. 3 indexed citations
18.
Tang, Xiaoshan & Ninghua Li. (2014). Future view and development of immunology: Exploring the immunology based on Chinese medicine and culture. Chinese Journal of Integrative Medicine. 20(8). 563–569. 3 indexed citations
19.
Andrésdóttir, Valgerður, Xiaoshan Tang, Gudrún Agnarsdóttir, et al.. (1998). Biological and Genetic Differences Between Lung- and Brain-Derived Isolates of Maedi-Visna Virus. Virus Genes. 16(3). 281–293. 26 indexed citations
20.
Andrésdóttir, Valgerður, Xiaoshan Tang, Ólafur S. Andrésson, & G. Georgsson. (1994). Sequence Variation in the Envelope Gene and the LTR of Maedi‐Visna Virus. Annals of the New York Academy of Sciences. 724(1). 157–158. 3 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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