Xuan Sang

564 total citations
22 papers, 394 citations indexed

About

Xuan Sang is a scholar working on Molecular Biology, Oncology and Neurology. According to data from OpenAlex, Xuan Sang has authored 22 papers receiving a total of 394 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 5 papers in Oncology and 5 papers in Neurology. Recurrent topics in Xuan Sang's work include Neuroinflammation and Neurodegeneration Mechanisms (5 papers), MicroRNA in disease regulation (4 papers) and Cancer Cells and Metastasis (4 papers). Xuan Sang is often cited by papers focused on Neuroinflammation and Neurodegeneration Mechanisms (5 papers), MicroRNA in disease regulation (4 papers) and Cancer Cells and Metastasis (4 papers). Xuan Sang collaborates with scholars based in China, United Kingdom and Hong Kong. Xuan Sang's co-authors include Lin Jin, Liu Yang, Zhichong Wang, Yaqi Cheng, Shoubi Wang, Yaru Su, Qi Wan, Xiaoran Wang, Ying Liu and Jiahui Liu and has published in prestigious journals such as Nature Communications, Nature Protocols and International Journal of Hydrogen Energy.

In The Last Decade

Xuan Sang

18 papers receiving 389 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xuan Sang China 12 248 126 82 52 51 22 394
Baishijiao Bian China 9 262 1.1× 105 0.8× 41 0.5× 31 0.6× 111 2.2× 13 367
Wenyi Wu China 13 352 1.4× 48 0.4× 171 2.1× 48 0.9× 35 0.7× 38 537
Colleen Cowan United States 7 500 2.0× 335 2.7× 108 1.3× 80 1.5× 53 1.0× 8 717
Jacqueline Gao-Li France 8 266 1.1× 52 0.4× 40 0.5× 54 1.0× 20 0.4× 11 450
Reza Raeisossadati Iran 12 363 1.5× 89 0.7× 15 0.2× 61 1.2× 112 2.2× 19 515
Qun Zeng Singapore 11 240 1.0× 60 0.5× 51 0.6× 146 2.8× 107 2.1× 20 477
Mari Katsura Japan 9 242 1.0× 57 0.5× 36 0.4× 20 0.4× 71 1.4× 12 356
Tianfang Chang China 11 181 0.7× 66 0.5× 63 0.8× 48 0.9× 33 0.6× 19 312
Helen M. Jopling United Kingdom 7 379 1.5× 71 0.6× 40 0.5× 31 0.6× 85 1.7× 7 460
Fabian Tetzlaff Germany 11 248 1.0× 74 0.6× 23 0.3× 67 1.3× 42 0.8× 13 434

Countries citing papers authored by Xuan Sang

Since Specialization
Citations

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

Fields of papers citing papers by Xuan Sang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xuan Sang

This figure shows the co-authorship network connecting the top 25 collaborators of Xuan Sang. A scholar is included among the top collaborators of Xuan Sang 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 Xuan Sang. Xuan Sang 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
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Liu, Weiqin, Qi Wan, Ying Liu, et al.. (2024). The BET inhibitor JQ1 suppresses tumor survival by ABCB5-mediated autophagy in uveal melanoma. Cellular Signalling. 125. 111483–111483.
4.
Tang, Lei, Mengyao Huang, Yi Wei, et al.. (2023). A primate nigrostriatal atlas of neuronal vulnerability and resilience in a model of Parkinson’s disease. Nature Communications. 14(1). 7497–7497. 13 indexed citations
5.
Wei, Jia-Ru, Dongchang Xiao, Lei Tang, et al.. (2023). Neural cell isolation from adult macaques for high-throughput analyses and neurosphere cultures. Nature Protocols. 18(6). 1930–1957. 7 indexed citations
6.
Huang, Wanjing, Jing Su, Lei Tang, et al.. (2022). Linking transcriptomes with morphological and functional phenotypes in mammalian retinal ganglion cells. Cell Reports. 40(11). 111322–111322. 26 indexed citations
7.
Liu, Feng, Wanjing Huang, Ying Xu, et al.. (2022). Defects and asymmetries in the visual pathway of non-human primates with natural strabismus and amblyopia. 动物学研究. 44(1). 153–168. 3 indexed citations
8.
Su, Yaru, Shoubi Wang, Yaqi Cheng, et al.. (2022). Embryonic stem cell extracellular vesicles reverse the senescence of retinal pigment epithelial cells by the p38MAPK pathway. Experimental Eye Research. 227. 109365–109365. 7 indexed citations
9.
Cheng, Yaqi, Xiaoran Wang, Shoubi Wang, et al.. (2021). Tumor Microenvironmental Competitive Endogenous RNA Network and Immune Cells Act as Robust Prognostic Predictor of Acute Myeloid Leukemia. Frontiers in Oncology. 11. 584884–584884. 22 indexed citations
10.
Liu, Jiahui, Xiaoran Wang, Tengfei Liu, et al.. (2021). The embryonic stem cell microenvironment inhibits mouse glioma cell proliferation by regulating the PI3K/AKT pathway. Translational Cancer Research. 10(1). 487–498. 6 indexed citations
11.
Cheng, Yaqi, Yaru Su, Shoubi Wang, et al.. (2020). Immune Microenvironment Related Competitive Endogenous RNA Network as Powerful Predictors for Melanoma Prognosis Based on WGCNA Analysis. Frontiers in Oncology. 10. 577072–577072. 22 indexed citations
12.
Cheng, Yaqi, Yaru Su, Shoubi Wang, et al.. (2020). Identification of circRNA-lncRNA-miRNA-mRNA Competitive Endogenous RNA Network as Novel Prognostic Markers for Acute Myeloid Leukemia. Genes. 11(8). 868–868. 76 indexed citations
13.
Wan, Qi, Xuan Sang, Lin Jin, & Zhichong Wang. (2020). Alternative Splicing Events as Indicators for the Prognosis of Uveal Melanoma. Genes. 11(2). 227–227. 14 indexed citations
14.
Cheng, Yaqi, Lin Jin, Ying Liu, et al.. (2020). Modifying the tumour microenvironment and reverting tumour cells: New strategies for treating malignant tumours. Cell Proliferation. 53(8). e12865–e12865. 65 indexed citations
15.
Wang, Shoubi, Xiaoran Wang, Yaqi Cheng, et al.. (2019). Autophagy Dysfunction, Cellular Senescence, and Abnormal Immune-Inflammatory Responses in AMD: From Mechanisms to Therapeutic Potential. Oxidative Medicine and Cellular Longevity. 2019. 1–13. 71 indexed citations
16.
Wang, Xiaoran, Jiahui Liu, Ying Liu, et al.. (2019). Embryonic stem cell microenvironment suppresses the malignancy of cutaneous melanoma cells by down‐regulating PI3K/AKT pathway. Cancer Medicine. 8(9). 4265–4277. 11 indexed citations
17.
Liu, Jiahui, Liu Yang, Xiaoran Wang, et al.. (2019). Embryonic Stem Cells Modulate the Cancer-Permissive Microenvironment of Human Uveal Melanoma. Theranostics. 9(16). 4764–4778. 14 indexed citations
18.
Wan, Qi, Lin Jin, Yaru Su, et al.. (2019). Development and Validation of Autophagy-Related-Gene Biomarker and Nomogram for Predicting the Survival of Cutaneous Melanoma. SSRN Electronic Journal. 1 indexed citations
19.
Yan, Li, Xuan Sang, Liu Yang, et al.. (2018). Low concentration of sodium hyaluronate temporarily elevates the tear film lipid layer thickness in dry eye patients with lipid deficiency. International Journal of Ophthalmology. 11(3). 389–394. 14 indexed citations
20.
Sang, Xuan, Yan Li, Liu Yang, et al.. (2018). Lipid layer thickness and tear meniscus height measurements for the differential diagnosis of evaporative dry eye subtypes. International Journal of Ophthalmology. 11(9). 1496–1502. 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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