Shiming Tan

4.4k total citations · 3 hit papers
61 papers, 2.8k citations indexed

About

Shiming Tan is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Shiming Tan has authored 61 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Molecular Biology, 28 papers in Cancer Research and 8 papers in Oncology. Recurrent topics in Shiming Tan's work include RNA modifications and cancer (12 papers), Cancer-related molecular mechanisms research (10 papers) and Cancer, Hypoxia, and Metabolism (10 papers). Shiming Tan is often cited by papers focused on RNA modifications and cancer (12 papers), Cancer-related molecular mechanisms research (10 papers) and Cancer, Hypoxia, and Metabolism (10 papers). Shiming Tan collaborates with scholars based in China, United States and Saudi Arabia. Shiming Tan's co-authors include Linda Oyang, Longzheng Xia, Yujuan Zhou, Qianjin Liao, Jinguan Lin, Min Su, Yanyan Tang, Yaqian Han, Jiaxin Liang and Yutong Tian and has published in prestigious journals such as Oncogene, ACS Applied Materials & Interfaces and Experimental Cell Research.

In The Last Decade

Shiming Tan

57 papers receiving 2.8k citations

Hit Papers

The cancer metabolic reprogramming and immune response 2021 2026 2022 2024 2021 2023 2024 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shiming Tan China 25 1.8k 1.1k 610 516 321 61 2.8k
Longzheng Xia China 24 1.7k 1.0× 1.1k 1.0× 599 1.0× 475 0.9× 329 1.0× 43 2.7k
Linda Oyang China 25 1.7k 1.0× 1.1k 1.0× 605 1.0× 496 1.0× 349 1.1× 47 2.7k
Min Su China 25 2.1k 1.2× 1.5k 1.3× 590 1.0× 463 0.9× 303 0.9× 58 3.0k
Yuanyuan Wang China 34 1.8k 1.0× 935 0.8× 551 0.9× 458 0.9× 322 1.0× 121 3.0k
Yan Zheng China 27 1.8k 1.0× 1.3k 1.2× 682 1.1× 552 1.1× 359 1.1× 48 3.0k
Shengtao Zhou China 30 1.4k 0.8× 771 0.7× 516 0.8× 498 1.0× 220 0.7× 97 2.7k
Sanjeev K. Srivastava United States 35 2.1k 1.2× 1.4k 1.2× 980 1.6× 461 0.9× 260 0.8× 62 3.4k
Zakaria Y. Abd Elmageed United States 31 1.6k 0.9× 824 0.7× 583 1.0× 324 0.6× 335 1.0× 94 2.9k
Diana Gulei Romania 28 1.8k 1.0× 1.0k 0.9× 504 0.8× 245 0.5× 249 0.8× 71 2.9k
Liu Yang China 31 2.3k 1.3× 1.8k 1.6× 695 1.1× 340 0.7× 397 1.2× 106 3.4k

Countries citing papers authored by Shiming Tan

Since Specialization
Citations

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

Fields of papers citing papers by Shiming Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shiming Tan

This figure shows the co-authorship network connecting the top 25 collaborators of Shiming Tan. A scholar is included among the top collaborators of Shiming Tan 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 Tan. Shiming Tan 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.
Tang, Haoneng, Peng Qiu, Linda Oyang, et al.. (2025). Fusion genes in cancers: Biogenesis, functions, and therapeutic implications. Genes & Diseases. 12(5). 101536–101536.
2.
Qiu, Peng, Lujuan Wang, Ying Long, et al.. (2025). SRSF9 mediates oncogenic RNA splicing of SLC37A4 via liquid–liquid phase separation to promote oral cancer progression. Journal of Advanced Research. 79. 505–520. 3 indexed citations
3.
Qiu, Peng, Xuemeng Xu, Wenlong Zhang, et al.. (2025). Crosstalk between RNA-binding proteins and non-coding RNAs in tumors: molecular mechanisms, and clinical significance. International Journal of Biological Sciences. 21(7). 2991–3010. 3 indexed citations
4.
Tan, Shiming, Ruirui Wang, Ming Yi, et al.. (2025). E3 ligase Skp2-mediated stabilization of survivin contributes to radioresistance. Cell Death Discovery. 11(1). 151–151.
5.
Tan, Shiming, Shizhen Li, Longzheng Xia, et al.. (2025). Long non‑coding RNA ABHD11‑AS1 inhibits colorectal cancer progression through interacting with EGFR to suppress the EGFR/ERK signaling pathway. International Journal of Oncology. 66(3). 1 indexed citations
6.
Han, Yaqian, Shizhen Li, Linda Oyang, et al.. (2025). Novel insights into lncRNAs as key regulators of post-translational modifications in cancer: mechanisms and therapeutic potential. Cellular Oncology. 48(5). 1219–1244. 1 indexed citations
7.
Tan, Shiming, et al.. (2025). ANXA1 inhibits trophoblast ferroptosis in preeclampsia by downregulating KISS1. Biology of Reproduction. 112(6). 1256–1272. 3 indexed citations
8.
Jiang, Xianjie, Qiu Peng, Mingjing Peng, et al.. (2024). Cellular metabolism: A key player in cancer ferroptosis. Cancer Communications. 44(2). 185–204. 36 indexed citations
9.
Jiang, Xianjie, Mingjing Peng, Qiang Liu, et al.. (2024). Circular RNA hsa_circ_0000467 promotes colorectal cancer progression by promoting eIF4A3-mediated c-Myc translation. Molecular Cancer. 23(1). 151–151. 13 indexed citations
10.
Tao, Jun, Jingjing Wang, Shiming Tan, et al.. (2024). Placental growth factor alleviates hyperglycemia‐induced trophoblast pyroptosis by regulating mitophagy. Journal of obstetrics and gynaecology research. 50(10). 1813–1829. 3 indexed citations
11.
Zhang, Wenlong, Yidan Shi, Linda Oyang, et al.. (2024). Endoplasmic reticulum stress—a key guardian in cancer. Cell Death Discovery. 10(1). 343–343. 62 indexed citations breakdown →
12.
Xia, Longzheng, Jinguan Lin, Mingjing Peng, et al.. (2024). Diallyl disulfide induces DNA damage and growth inhibition in colorectal cancer cells by promoting POU2F1 ubiquitination. International Journal of Biological Sciences. 20(4). 1125–1141. 8 indexed citations
13.
Yu, Bo, Yanxia Wang, Shiming Tan, et al.. (2024). Ang-1 and VEGF: central regulators of angiogenesis. Molecular and Cellular Biochemistry. 480(2). 621–637. 21 indexed citations
14.
Xu, Xuemeng, Qiu Peng, Xianjie Jiang, et al.. (2024). Altered glycosylation in cancer: molecular functions and therapeutic potential. Cancer Communications. 44(11). 1316–1336. 39 indexed citations
15.
Li, Shizhen, Mingjing Peng, Shiming Tan, et al.. (2024). The roles and molecular mechanisms of non-coding RNA in cancer metabolic reprogramming. Cancer Cell International. 24(1). 37–37. 15 indexed citations
16.
Xu, Xuemeng, Peng Qiu, Xianjie Jiang, et al.. (2023). Metabolic reprogramming and epigenetic modifications in cancer: from the impacts and mechanisms to the treatment potential. Experimental & Molecular Medicine. 55(7). 1357–1370. 121 indexed citations breakdown →
17.
Rao, Shan, Linda Oyang, Jiaxin Liang, et al.. (2021). Biological Function of HYOU1 in Tumors and Other Diseases. OncoTargets and Therapy. Volume 14. 1727–1735. 33 indexed citations
18.
Zhang, Li, Xiaoyu Zhu, Shijia Wu, et al.. (2018). Fabrication and evaluation of a γ-PGA-based self-assembly transferrin receptor-targeting anticancer drug carrier. International Journal of Nanomedicine. Volume 13. 7873–7889. 13 indexed citations
20.
Chen, Yazhou, et al.. (2015). Expression and purification of Canis interferon α in Escherichia coli using different tags. Protein Expression and Purification. 115. 76–82. 9 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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