Shouwei Li

4.2k total citations · 1 hit paper
77 papers, 2.3k citations indexed

About

Shouwei Li is a scholar working on Genetics, Cancer Research and Molecular Biology. According to data from OpenAlex, Shouwei Li has authored 77 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 51 papers in Genetics, 27 papers in Cancer Research and 24 papers in Molecular Biology. Recurrent topics in Shouwei Li's work include Glioma Diagnosis and Treatment (51 papers), MicroRNA in disease regulation (12 papers) and Cancer, Hypoxia, and Metabolism (10 papers). Shouwei Li is often cited by papers focused on Glioma Diagnosis and Treatment (51 papers), MicroRNA in disease regulation (12 papers) and Cancer, Hypoxia, and Metabolism (10 papers). Shouwei Li collaborates with scholars based in China, United States and Netherlands. Shouwei Li's co-authors include Tao Jiang, Changxiang Yan, Pengfei Wang, Wenjun Ji, Siying Song, Tingjian Wang, Yongping You, Ning Liu, Yang Chen and Kun Yao and has published in prestigious journals such as Journal of Clinical Oncology, PLoS ONE and Cancer.

In The Last Decade

Shouwei Li

75 papers receiving 2.3k citations

Hit Papers

Immune-Related Adverse Ev... 2017 2026 2020 2023 2017 100 200 300

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Shouwei Li 1.0k 793 713 702 423 77 2.3k
Jennifer S. Yu 823 0.8× 1.2k 1.5× 569 0.8× 869 1.2× 826 2.0× 91 2.6k
Deric M. Park 568 0.6× 861 1.1× 490 0.7× 543 0.8× 299 0.7× 54 2.1k
Yu Yao 1.1k 1.1× 1.1k 1.4× 772 1.1× 893 1.3× 563 1.3× 112 3.0k
Fréderic Fina 719 0.7× 893 1.1× 506 0.7× 687 1.0× 389 0.9× 87 2.2k
Benoît Lhermitte 1.1k 1.1× 821 1.0× 647 0.9× 710 1.0× 702 1.7× 77 2.5k
Jason T. Huse 1.6k 1.6× 1.1k 1.4× 755 1.1× 1.1k 1.6× 978 2.3× 49 3.5k
Hirofumi Hirano 910 0.9× 736 0.9× 388 0.5× 365 0.5× 275 0.7× 103 2.3k
Gan You 838 0.8× 767 1.0× 774 1.1× 179 0.3× 326 0.8× 49 1.6k
Delphine Loussouarn 337 0.3× 976 1.2× 574 0.8× 694 1.0× 629 1.5× 76 2.3k

Countries citing papers authored by Shouwei Li

Since Specialization
Citations

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

Fields of papers citing papers by Shouwei Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shouwei Li

This figure shows the co-authorship network connecting the top 25 collaborators of Shouwei Li. A scholar is included among the top collaborators of Shouwei Li 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 Shouwei Li. Shouwei Li 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, Xu, Haimei Tang, Yunke Bi, et al.. (2025). Single‐Cell Profiling and Proteomics‐Based Insights Into mTORC1 ‐Mediated Angio+ TAMs Polarization in Recurrent IDH ‐Mutant Gliomas. CNS Neuroscience & Therapeutics. 31(4). e70371–e70371. 1 indexed citations
2.
Fu, Xiaojun, et al.. (2025). Leptomeningeal dissemination in H3 K27M- mutant diffuse midline gliomas: clinical characteristics, risk factors, and prognostic insights. Journal of Neuro-Oncology. 172(2). 437–445. 1 indexed citations
3.
Li, Shouwei, et al.. (2025). Molecular subtypes of adamantinomatous craniopharyngiomas. Neuro-Oncology. 27(5). 1180–1192. 1 indexed citations
4.
Xie, Dong, Fei Zheng, Chao Wang, et al.. (2024). Multiparameter MRI-based radiomics nomogram for preoperative prediction of brain invasion in atypical meningioma:a multicentre study. BMC Medical Imaging. 24(1). 134–134. 3 indexed citations
6.
Liu, Yanwei, Huiyuan Chen, Guanzhang Li, et al.. (2022). Radiotherapy delays malignant transformation and prolongs survival in patients with IDH-mutant gliomas. Cancer Biology and Medicine. 19(10). 1477–1486. 9 indexed citations
7.
Ji, Xiaoping, et al.. (2020). A Prediction Method for the California Bearing Ratio of Soil‐Rock Mixture Based on the Discrete Element Method and CT Scanning. Advances in Civil Engineering. 2020(1). 3 indexed citations
8.
Wu, Chenxing, et al.. (2020). Transcriptomic Analysis of Glioma Based on IDH Status Identifies ACAA2 as a Prognostic Factor in Lower Grade Glioma. BioMed Research International. 2020(1). 1086792–1086792. 6 indexed citations
9.
Fu, Xiaojun, et al.. (2020). LTBP1 plays a potential bridge between depressive disorder and glioblastoma. Journal of Translational Medicine. 18(1). 391–391. 14 indexed citations
10.
Kong, Lingwei, Jin Chen, Heng Zhao, et al.. (2019). Intratumoral Susceptibility Signals Reflect Biomarker Status in Gliomas. Scientific Reports. 9(1). 17080–17080. 20 indexed citations
11.
Wang, Yue, et al.. (2018). Optimization of six strand tundish based on inclusions motion. Metalurgija. 57. 51–54. 1 indexed citations
12.
Wang, Pengfei, Zhe Meng, Kun Yao, et al.. (2018). Preoperative Changes in Hematological Markers and Predictors of Glioma Grade and Survival. Frontiers in Pharmacology. 9. 886–886. 56 indexed citations
13.
Wang, Pengfei, Hong‐Qing Cai, Chuanbao Zhang, et al.. (2018). Molecular and clinical characterization of PTPN2 expression from RNA-seq data of 996 brain gliomas. Journal of Neuroinflammation. 15(1). 145–145. 21 indexed citations
14.
Wang, Pengfei, Wenjun Ji, Xiaohui Zhang, Shouwei Li, & Changxiang Yan. (2017). Allergy reduces the risk of meningioma: a meta-analysis. Scientific Reports. 7(1). 40333–40333. 8 indexed citations
15.
Yang, Pei, Jinquan Cai, Wei Yan, et al.. (2016). Classification based on mutations ofTERTpromoter andIDHcharacterizes subtypes in grade II/III gliomas. Neuro-Oncology. 18(8). 1099–1108. 86 indexed citations
16.
You, Gan, Wei Yan, Wei Zhang, et al.. (2012). Significance of miR-196b in Tumor-Related Epilepsy of Patients with Gliomas. PLoS ONE. 7(9). e46218–e46218. 22 indexed citations
17.
Huang, Lei, Pei Yang, Wensheng Zhang, et al.. (2011). Clinical and molecular genetic factors affecting postoperative seizure control of 183 Chinese adult patients with low‐grade gliomas. European Journal of Neurology. 19(2). 298–306. 38 indexed citations
18.
Sha, Zhiyi, Yan Wang, Wenrui Zhang, et al.. (2011). Seizure characteristics and outcomes in 508 Chinese adult patients undergoing primary resection of low-grade gliomas: a clinicopathological study. Neuro-Oncology. 14(2). 230–241. 128 indexed citations
19.
Li, Shouwei, Wei Zhang, Baoshi Chen, Tao Jiang, & Zhongcheng Wang. (2009). Prognostic and predictive value of p53 in low MGMT expressing glioblastoma treated with surgery, radiation and adjuvant temozolomide chemotherapy. Neurological Research. 32(7). 690–694. 17 indexed citations
20.
Jin, Ming, et al.. (2006). Mutational Analysis to Determine Key Residues Essential for Activity and Membrane Association of Rpe65 Isomerohydrolase. Investigative Ophthalmology & Visual Science. 47(13). 2043–2043. 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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