Xiangbao Yin

552 total citations
22 papers, 367 citations indexed

About

Xiangbao Yin is a scholar working on Molecular Biology, Cancer Research and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Xiangbao Yin has authored 22 papers receiving a total of 367 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 10 papers in Cancer Research and 4 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Xiangbao Yin's work include Cancer-related molecular mechanisms research (6 papers), RNA modifications and cancer (5 papers) and MicroRNA in disease regulation (4 papers). Xiangbao Yin is often cited by papers focused on Cancer-related molecular mechanisms research (6 papers), RNA modifications and cancer (5 papers) and MicroRNA in disease regulation (4 papers). Xiangbao Yin collaborates with scholars based in China. Xiangbao Yin's co-authors include Xin Yu, Chao Dai, Jun Gao, Linquan Wu, Zhenhong Zou, Bo Liang, Zhiwei Zhong, Fan Zhou, Fan Zhou and Chao Wang and has published in prestigious journals such as PLoS ONE, Scientific Reports and The FASEB Journal.

In The Last Decade

Xiangbao Yin

22 papers receiving 366 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiangbao Yin China 12 263 204 59 51 33 22 367
Luxi Qian China 13 317 1.2× 258 1.3× 41 0.7× 62 1.2× 21 0.6× 25 423
Dongwei Xue China 12 249 0.9× 155 0.8× 55 0.9× 52 1.0× 15 0.5× 18 336
Chuanchao He China 12 295 1.1× 166 0.8× 50 0.8× 71 1.4× 42 1.3× 21 411
Xiao Dong China 9 246 0.9× 162 0.8× 60 1.0× 87 1.7× 20 0.6× 12 346
Weimei Tang China 13 357 1.4× 199 1.0× 73 1.2× 99 1.9× 27 0.8× 21 447
Zhicheng Yu China 10 207 0.8× 168 0.8× 76 1.3× 50 1.0× 21 0.6× 22 320
Shinya Kidogami Japan 12 236 0.9× 114 0.6× 49 0.8× 66 1.3× 34 1.0× 26 321
Huanye Mo China 16 404 1.5× 350 1.7× 108 1.8× 76 1.5× 41 1.2× 24 561
Baocun Sun China 8 298 1.1× 231 1.1× 44 0.7× 100 2.0× 20 0.6× 9 399
Nicole P. Ho Hong Kong 6 265 1.0× 213 1.0× 46 0.8× 137 2.7× 43 1.3× 9 453

Countries citing papers authored by Xiangbao Yin

Since Specialization
Citations

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

Fields of papers citing papers by Xiangbao Yin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiangbao Yin

This figure shows the co-authorship network connecting the top 25 collaborators of Xiangbao Yin. A scholar is included among the top collaborators of Xiangbao Yin 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 Xiangbao Yin. Xiangbao Yin 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.
He, Shasha, Xiangbao Yin, Yingqi Xu, & Zhiwei Zhong. (2025). Rivaroxaban vs. Enoxaparin for Preventing Venous Thromboembolism and Wound Complications after Knee Surgery: A Meta-Analysis. Journal of College of Physicians And Surgeons Pakistan. 35(10). 1318–1324. 1 indexed citations
2.
He, Shasha, et al.. (2025). Identification of key extracellular proteins as the potential biomarkers in thyroid eye disease. PLoS ONE. 20(4). e0322415–e0322415. 1 indexed citations
3.
Sun, Liang, et al.. (2024). The Value of Chemokine and Chemokine Receptors in Diagnosis, Prognosis, and Immunotherapy of Hepatocellular Carcinoma. Cancer Management and Research. Volume 16. 403–420. 2 indexed citations
4.
Yao, Jinping, Zhipeng Wu, Junwen Hu, et al.. (2024). PAFAH1B3 is a KLF9 target gene that promotes proliferation and metastasis in pancreatic cancer. Scientific Reports. 14(1). 9196–9196. 2 indexed citations
5.
Yu, Yang, Long Peng, Zhipeng Wu, et al.. (2023). Pancancer analysis of oncogenic BARX2 identifying its prognostic value and immunological function in liver hepatocellular carcinoma. Scientific Reports. 13(1). 7560–7560. 2 indexed citations
6.
7.
Wu, Zhengyi, et al.. (2022). Comprehensive Analysis of Prognostic Value and Immune Infiltration of Ficolin Family Members in Hepatocellular Carcinoma. Frontiers in Genetics. 13. 913398–913398. 6 indexed citations
8.
Sun, Liang, Zitao Liu, Ke Ning, et al.. (2022). Comprehensive Analysis of Cellular Senescence-Related Genes in Prognosis, Molecular Characterization and Immunotherapy of Hepatocellular Carcinoma. Biological Procedures Online. 24(1). 24–24. 1 indexed citations
9.
Huang, Shenglan, et al.. (2022). DLGAP4 acts as an effective prognostic predictor for hepatocellular carcinoma and is closely related to tumour progression. Scientific Reports. 12(1). 19775–19775. 7 indexed citations
10.
Qiu, Yumin, Dan Huang, Jinshi Huang, et al.. (2021). Deubiquitinating enzyme USP46 suppresses the progression of hepatocellular carcinoma by stabilizing MST1. Experimental Cell Research. 405(1). 112646–112646. 20 indexed citations
11.
12.
Gao, Jun, Chao Dai, Xin Yu, et al.. (2020). Silencing of long non-coding RNA FOXD2-AS1 inhibits the progression of gallbladder cancer by mediating methylation of MLH1. Gene Therapy. 28(6). 306–318. 11 indexed citations
13.
Gao, Jun, Chao Dai, Xin Yu, Xiangbao Yin, & Fan Zhou. (2020). Upregulated microRNA‐194 impairs stemness of cholangiocarcinoma cells through the Rho pathway via inhibition of ECT2. Journal of Cellular Biochemistry. 121(10). 4239–4250. 16 indexed citations
14.
Wu, Hua‐Jun, Zhiwei Zhong, Chunhui Yuan, et al.. (2020). LncRNA FTX represses the progression of non-alcoholic fatty liver disease to hepatocellular carcinoma via regulating the M1/M2 polarization of Kupffer cells. Cancer Cell International. 20(1). 266–266. 38 indexed citations
15.
16.
Gao, Jun, Xiangbao Yin, Xin Yu, Chao Dai, & Fan Zhou. (2019). Long noncoding RNA LINC00488 functions as a ceRNA to regulate hepatocellular carcinoma cell growth and angiogenesis through miR-330-5. Digestive and Liver Disease. 51(7). 1050–1059. 21 indexed citations
17.
Gao, Jun, et al.. (2019). microRNA-485-5p inhibits the progression of hepatocellular carcinoma through blocking the WBP2/Wnt signaling pathway. Cellular Signalling. 66. 109466–109466. 27 indexed citations
18.
Zhong, Zhiwei, Fan Zhou, Dong Wang, et al.. (2018). Expression of KLF9 in pancreatic cancer and its effects on the invasion, migration, apoptosis, cell cycle distribution, and proliferation of pancreatic cancer cell lines. Oncology Reports. 40(6). 3852–3860. 38 indexed citations
19.
Liang, Bo, Hongliang Liu, Xiangbao Yin, et al.. (2017). Overexpression of non-SMC condensin I complex subunit G serves as a promising prognostic marker and therapeutic target for hepatocellular carcinoma. International Journal of Molecular Medicine. 40(3). 731–738. 47 indexed citations
20.
Liang, Bo, Wenjuan Zheng, Fang Lü, et al.. (2016). Overexpressed targeting protein for Xklp2 (TPX2) serves as a promising prognostic marker and therapeutic target for gastric cancer. Cancer Biology & Therapy. 17(8). 824–832. 34 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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