Wene Wei

561 total citations
19 papers, 405 citations indexed

About

Wene Wei is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Wene Wei has authored 19 papers receiving a total of 405 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 8 papers in Cancer Research and 6 papers in Oncology. Recurrent topics in Wene Wei's work include MicroRNA in disease regulation (7 papers), Cancer-related molecular mechanisms research (6 papers) and Extracellular vesicles in disease (3 papers). Wene Wei is often cited by papers focused on MicroRNA in disease regulation (7 papers), Cancer-related molecular mechanisms research (6 papers) and Extracellular vesicles in disease (3 papers). Wene Wei collaborates with scholars based in China and Tajikistan. Wene Wei's co-authors include Shufang Ning, Litu Zhang, Jilin Li, Haizhou Liu, Jian‐Hong Zhong, Jiansi Chen, Xianwei Mo, Kaisheng Liu, Yuxuan Xie and Bing Gao and has published in prestigious journals such as PLoS ONE, Journal of Cellular Physiology and Cell Death and Disease.

In The Last Decade

Wene Wei

19 papers receiving 399 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Wene Wei China	12	263	207	85	69	36	19	405
Shufang Ning China	10	205 0.8×	137 0.7×	81 1.0×	70 1.0×	27 0.8×	25	367
Wanfeng Zhang China	13	257 1.0×	171 0.8×	50 0.6×	87 1.3×	48 1.3×	30	371
Canhui Jin China	13	334 1.3×	262 1.3×	113 1.3×	54 0.8×	41 1.1×	16	494
Canrong Lu China	13	207 0.8×	138 0.7×	114 1.3×	86 1.2×	42 1.2×	22	368
Aundrea L. Oliver United States	5	185 0.7×	143 0.7×	112 1.3×	70 1.0×	21 0.6×	11	327
Yao-fei Pei China	11	334 1.3×	175 0.8×	101 1.2×	76 1.1×	34 0.9×	13	474
Longci Sun China	9	197 0.7×	127 0.6×	53 0.6×	71 1.0×	32 0.9×	17	327
Haiyun Zhao China	10	304 1.2×	154 0.7×	103 1.2×	51 0.7×	16 0.4×	13	423
Dongde Wu China	10	147 0.6×	119 0.6×	94 1.1×	39 0.6×	35 1.0×	17	274

Countries citing papers authored by Wene Wei

Since Specialization

Citations

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

Fields of papers citing papers by Wene Wei

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wene Wei

This figure shows the co-authorship network connecting the top 25 collaborators of Wene Wei. A scholar is included among the top collaborators of Wene Wei 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 Wene Wei. Wene Wei is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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19 of 19 papers shown

Wei, Xiaoxia, Wene Wei, Bo Li, et al.. (2025). Trifluridine/tipiracil induces ferroptosis by targeting p53 via the p53-SLC7A11 axis in colorectal cancer 3D organoids. Cell Death and Disease. 16(1). 255–255. 3 indexed citations

Xu, Wenting, Siyi Li, Guilan Xu, et al.. (2023). Tailoring mSiO2-SmCox nanoplatforms for magnetic/photothermal effect-induced hyperthermia therapy. Frontiers in Bioengineering and Biotechnology. 11. 1249775–1249775. 3 indexed citations

Li, Shirong, et al.. (2023). Role of Serum CYFRA 21-1 in Diagnosis and Prognostic in Colorectal Liver Metastases. Cancer Management and Research. Volume 15. 601–614. 3 indexed citations

Liu, Haizhou, Shirong Li, Wene Wei, et al.. (2023). The critical role of serum thymidine kinase 1(STK1) in predicting prognosis for immunotherapy in T4 stage lung squamous cell carcinoma. Heliyon. 9(3). e14129–e14129. 2 indexed citations

Ning, Shufang, Shirong Li, Mengshu Liu, et al.. (2023). Exosomal miR-99b-5p Secreted from Mesenchymal Stem Cells Can Retard the Progression of Colorectal Cancer by Targeting FGFR3. Stem Cell Reviews and Reports. 19(8). 2901–2917. 10 indexed citations

Chen, Yi, Haizhou Liu, Shufang Ning, et al.. (2022). The High Ratio of the Plasma miR-96/miR-99b Correlated With Poor Prognosis in Patients With Metastatic Colorectal Cancer. Frontiers in Molecular Biosciences. 8. 799060–799060. 11 indexed citations

Zhou, Jiahui, Wene Wei, Shufang Ning, et al.. (2021). Prognostic Value of C-Reactive Protein, Glasgow Prognostic Score, and C-Reactive Protein-to-Albumin Ratio in Colorectal Cancer. Frontiers in Cell and Developmental Biology. 9. 637650–637650. 27 indexed citations

Wei, Wene, Jiahui Zhou, Lipeng Chen, et al.. (2021). Plasma Levels of Heat Shock Protein 90 Alpha Associated With Colorectal Cancer Development. Frontiers in Molecular Biosciences. 8. 684836–684836. 8 indexed citations

Liu, Haizhou, Zihan Zhang, Yi Huang, et al.. (2021). Plasma HSP90AA1 Predicts the Risk of Breast Cancer Onset and Distant Metastasis. Frontiers in Cell and Developmental Biology. 9. 639596–639596. 51 indexed citations

10.

Wei, Wene, et al.. (2021). Ginsenoside Rh2 Suppresses Metastasis and Growth of Colon Cancer via miR-491. Journal of Oncology. 2021. 1–7. 11 indexed citations

11.

Wei, Wene, Mengshu Liu, Shufang Ning, et al.. (2020). Diagnostic value of plasma HSP90α levels for detection of hepatocellular carcinoma. BMC Cancer. 20(1). 6–6. 31 indexed citations

12.

Zhong, Jian‐Hong, Xiang Xiao, Yanyan Wang, et al.. (2019). The lncRNA SNHG16 affects prognosis in hepatocellular carcinoma by regulating p62 expression. Journal of Cellular Physiology. 235(2). 1090–1102. 41 indexed citations

13.

Ning, Shufang, Haizhou Liu, Bing Gao, et al.. (2019). miR‑155, miR‑96 and miR‑99a as potential diagnostic and prognostic tools for the clinical management of hepatocellular carcinoma. Oncology Letters. 18(3). 3381–3387. 46 indexed citations

14.

Ning, Shufang, Wene Wei, Jilin Li, et al.. (2018). Clinical significance and diagnostic capacity of serum TK1, CEA, CA 19-9 and CA 72-4 levels in gastric and colorectal cancer patients. Journal of Cancer. 9(3). 494–501. 81 indexed citations

15.

Yan, Lin‐Hai, Li Li, Jia Chen, et al.. (2016). E2F-1 promotes DAPK2-induced anti-tumor immunity of gastric cancer cells by targeting miR-34a. Tumor Biology. 37(12). 15925–15936. 15 indexed citations

16.

Wei, Wene, Naiquan Mao, Shufang Ning, et al.. (2016). An Analysis of EGFR Mutations among 1506 Cases of Non-Small Cell Lung Cancer Patients in Guangxi, China. PLoS ONE. 11(12). e0168795–e0168795. 17 indexed citations

17.

Yan, Lin‐Hai, Li-Li Li-Li, Jia Chen, et al.. (2016). miR-135a promotes gastric cancer progression and resistance to oxaliplatin. Oncotarget. 7(43). 70699–70714. 28 indexed citations

18.

Gao, Bing, Shufang Ning, Jilin Li, et al.. (2015). Integrated analysis of differentially expressed mRNAs and miRNAs between hepatocellular carcinoma and their matched adjacent normal liver tissues. Oncology Reports. 34(1). 325–333. 11 indexed citations

19.

Ning, Shufang, Jilin Li, Changhong Wei, et al.. (2014). Human epidermal growth factor receptor 2 expression in breast cancer: correlation with clinical pathological features.. PubMed. 7(12). 8740–7. 6 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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