Shiming Yang

3.5k total citations · 3 hit papers
66 papers, 2.5k citations indexed

About

Shiming Yang is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Shiming Yang has authored 66 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Molecular Biology, 15 papers in Oncology and 12 papers in Cancer Research. Recurrent topics in Shiming Yang's work include RNA modifications and cancer (10 papers), Gut microbiota and health (8 papers) and Proteoglycans and glycosaminoglycans research (8 papers). Shiming Yang is often cited by papers focused on RNA modifications and cancer (10 papers), Gut microbiota and health (8 papers) and Proteoglycans and glycosaminoglycans research (8 papers). Shiming Yang collaborates with scholars based in China, United States and Israel. Shiming Yang's co-authors include C. Hu, Yuanyuan Lei, Li Tang, Bo Tang, Xin‐Zhe Li, Bo Tang, Sumin Wang, Yufeng Xiao, Shuo Zeng and Xiaoyan Zhao and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Environmental Science & Technology.

In The Last Decade

Shiming Yang

61 papers receiving 2.5k citations

Hit Papers

Regulation of the master regulator FOXM1 in cancer 2018 2026 2020 2023 2018 2020 2022 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shiming Yang China 29 1.6k 561 413 344 275 66 2.5k
Ninghan Feng China 27 1.4k 0.8× 575 1.0× 401 1.0× 248 0.7× 248 0.9× 126 2.2k
Xiaolong Chen China 25 1.7k 1.0× 696 1.2× 445 1.1× 353 1.0× 331 1.2× 109 2.6k
Hui Tao China 35 1.8k 1.1× 793 1.4× 312 0.8× 438 1.3× 186 0.7× 123 3.2k
Ying Gao China 27 1.6k 0.9× 580 1.0× 322 0.8× 336 1.0× 209 0.8× 127 2.6k
Junfei Jin China 32 1.8k 1.1× 565 1.0× 379 0.9× 353 1.0× 428 1.6× 81 2.8k
Yunshan Wang China 29 1.5k 0.9× 579 1.0× 366 0.9× 203 0.6× 234 0.9× 96 2.3k
Rui Yang China 31 1.3k 0.8× 535 1.0× 349 0.8× 334 1.0× 492 1.8× 115 2.8k
Liwei Dong China 35 1.6k 1.0× 686 1.2× 440 1.1× 402 1.2× 546 2.0× 102 3.2k
Jiin‐Tsuey Cheng Taiwan 30 1.5k 0.9× 365 0.7× 368 0.9× 194 0.6× 291 1.1× 83 3.0k
Jian Xu China 32 1.8k 1.1× 888 1.6× 420 1.0× 286 0.8× 472 1.7× 112 3.0k

Countries citing papers authored by Shiming Yang

Since Specialization
Citations

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

Fields of papers citing papers by Shiming Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shiming Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Shiming Yang. A scholar is included among the top collaborators of Shiming Yang 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 Shiming Yang. Shiming Yang 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.
Wei, Hong, Jue Wang, Muhan Lü, et al.. (2025). Effect of Probiotics on the Gut Microbiota After Colonoscopy: A Multicenter, Randomized, Placebo‐Controlled Clinical Study. Journal of Gastroenterology and Hepatology. 41(1). 128–139.
2.
Li, Zhibin, Shuying Li, Yufeng Xiao, et al.. (2025). Hypoxia exposure impairs male fertility via inhibiting Septin2-mediated spermatogonial proliferation. Human Reproduction Open. 2025(3). hoaf027–hoaf027. 1 indexed citations
3.
Wang, Qiong, Ming Yang, Shiming Yang, et al.. (2025). A biodegradable capacitive-coupling neurostimulator for wireless electroceutical treatment of inflammatory bowel diseases. Science Advances. 11(7). eadu5887–eadu5887. 5 indexed citations
5.
Tang, Bo, Li Tang, Shengpeng Li, et al.. (2023). Gut microbiota alters host bile acid metabolism to contribute to intrahepatic cholestasis of pregnancy. Nature Communications. 14(1). 1305–1305. 69 indexed citations
6.
Zhou, An, Bo Tang, Shengpeng Li, et al.. (2023). Changes of gut microbiota and short chain fatty acids in patients with Peutz–Jeghers syndrome. BMC Microbiology. 23(1). 373–373. 2 indexed citations
7.
Yang, Min, Bo Tang, Sumin Wang, et al.. (2022). Non-enzymatic heparanase enhances gastric tumor proliferation via TFEB-dependent autophagy. Oncogenesis. 11(1). 49–49. 10 indexed citations
8.
Huang, Shengjie, Shiping Hu, Shuang Liu, et al.. (2021). Lithium carbonate alleviates colon inflammation through modulating gut microbiota and Treg cells in a GPR43-dependent manner. Pharmacological Research. 175. 105992–105992. 53 indexed citations
9.
Liu, Jingjing, Sumin Wang, Li Tang, et al.. (2021). Role of heparanase 2 (Hpa2) in gastric cancer. Neoplasia. 23(9). 966–978. 11 indexed citations
10.
Yang, Shiming, Yaping Zhou, Xiangxin Zhang, et al.. (2021). The prognostic value of an autophagy-related lncRNA signature in hepatocellular carcinoma. BMC Bioinformatics. 22(1). 217–217. 23 indexed citations
11.
Liu, Yaojiang, Bo Tang, Fengchao Wang, et al.. (2020). Parthenolide ameliorates colon inflammation through regulating Treg/Th17 balance in a gut microbiota-dependent manner. Theranostics. 10(12). 5225–5241. 253 indexed citations breakdown →
12.
Bhattacharya, Udayan, Lilach Gutter-Kapon, Ilanit Boyango, et al.. (2019). Heparanase and Chemotherapy Synergize to Drive Macrophage Activation and Enhance Tumor Growth. Cancer Research. 80(1). 57–68. 38 indexed citations
13.
Liao, Guobin, Xin‐Zhe Li, Shuo Zeng, et al.. (2018). Regulation of the master regulator FOXM1 in cancer. Cell Communication and Signaling. 16(1). 57–57. 289 indexed citations breakdown →
14.
Chen, Yang, Yaran Wu, Hongying Yang, et al.. (2018). Prolyl isomerase Pin1: a promoter of cancer and a target for therapy. Cell Death and Disease. 9(9). 883–883. 110 indexed citations
15.
Lei, Lei, Jianhui Li, Meiqing Liu, et al.. (2018). CD40L-adjuvanted DNA vaccine carrying EBV-LMP2 antigen enhances anti-tumor effect in NPC transplantation tumor animal. Central European Journal of Immunology. 43(2). 117–122. 8 indexed citations
16.
Zhang, Dan, Bo Tang, Xia Xie, et al.. (2015). The interplay between DNA repair and autophagy in cancer therapy. Cancer Biology & Therapy. 16(7). 1005–1013. 107 indexed citations
17.
Shi, Yuankai, et al.. (2015). Comprehensive Analysis of Driver Mutations in Chinese Squamous Cell Lung Carcinomas By Targeted Next-Generation Sequencing. Annals of Oncology. 26. i1–i1. 1 indexed citations
18.
Lü, Muhan, Zhongli Liao, Xiaoyan Zhao, et al.. (2012). hTERT-based therapy: A universal anticancer approach (Review). Oncology Reports. 28(6). 1945–1952. 37 indexed citations
19.
Fang, Dian-Chun, Ling Chen, Dongxu Wang, et al.. (2006). [Immune response of heparinase gene modified dendritic cell-based vaccine on gastric cancer cells].. PubMed. 86(44). 3122–7.
20.
Niu, Huijun, et al.. (2004). Construction of sense and antisense human heparanase and green fluorescent protein eukaryotic co--expressing vectors and their expression in lung cancer cell lines. Di-Si Junyi Daxue xuebao. 25(13). 1215–1217. 1 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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