Chenran Wang

2.2k total citations · 1 hit paper
35 papers, 1.6k citations indexed

About

Chenran Wang is a scholar working on Epidemiology, Molecular Biology and Oncology. According to data from OpenAlex, Chenran Wang has authored 35 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Epidemiology, 13 papers in Molecular Biology and 8 papers in Oncology. Recurrent topics in Chenran Wang's work include Autophagy in Disease and Therapy (15 papers), Neuroinflammation and Neurodegeneration Mechanisms (6 papers) and MicroRNA in disease regulation (4 papers). Chenran Wang is often cited by papers focused on Autophagy in Disease and Therapy (15 papers), Neuroinflammation and Neurodegeneration Mechanisms (6 papers) and MicroRNA in disease regulation (4 papers). Chenran Wang collaborates with scholars based in United States, China and Poland. Chenran Wang's co-authors include Jun‐Lin Guan, Chun-Chi Liang, Syn Kok Yeo, Huijun Wei, Boyi Gan, Peng Xu, Huaping Fan, Yuan Zhu, Youngdong Yoo and Z. Christine Bian and has published in prestigious journals such as Journal of Biological Chemistry, Genes & Development and The Journal of Cell Biology.

In The Last Decade

Chenran Wang

34 papers receiving 1.6k citations

Hit Papers

Liquid biopsy in cancer: current status, challenges and f... 2024 2026 2025 2024 50 100 150

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chenran Wang United States 18 831 723 316 264 237 35 1.6k
Maria Kontogiannea Canada 13 853 1.0× 244 0.3× 163 0.5× 151 0.6× 263 1.1× 17 1.3k
Susan Finniss United States 22 1.2k 1.4× 259 0.4× 622 2.0× 191 0.7× 327 1.4× 33 1.7k
Tatyana V. Taksir United States 17 1.0k 1.2× 140 0.2× 337 1.1× 164 0.6× 336 1.4× 24 1.9k
Anne Wierinckx France 31 1.3k 1.6× 328 0.5× 572 1.8× 179 0.7× 603 2.5× 55 2.9k
Kenneth L. Scott United States 26 1.9k 2.3× 196 0.3× 653 2.1× 369 1.4× 502 2.1× 37 2.7k
Giuseppe Lamorte Italy 22 1.5k 1.8× 148 0.2× 441 1.4× 226 0.9× 804 3.4× 44 2.5k
Shiwen Luo China 29 1.7k 2.1× 118 0.2× 352 1.1× 394 1.5× 462 1.9× 69 2.4k
Pierre de la Grange France 34 2.2k 2.7× 205 0.3× 630 2.0× 170 0.6× 462 1.9× 93 3.2k
Jiefeng Cui China 29 1.0k 1.2× 170 0.2× 599 1.9× 458 1.7× 557 2.4× 72 2.1k
Carolina L. Bigarella United States 15 791 1.0× 99 0.1× 169 0.5× 207 0.8× 180 0.8× 25 1.4k

Countries citing papers authored by Chenran Wang

Since Specialization
Citations

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

Fields of papers citing papers by Chenran Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chenran Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Chenran Wang. A scholar is included among the top collaborators of Chenran Wang 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 Chenran Wang. Chenran Wang 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.
Dong, Xuesi, Le Wang, Yadi Zheng, et al.. (2025). Potential reduction of global colorectal cancer, 1990–2021. PubMed. 5(3). 313–321. 1 indexed citations
2.
Ma, Liwei, Huiling Guo, Yunxiang Zhao, et al.. (2024). Liquid biopsy in cancer: current status, challenges and future prospects. Signal Transduction and Targeted Therapy. 9(1). 336–336. 176 indexed citations breakdown →
3.
Wang, Chenran, Yadi Zheng, Jiaxin Xie, et al.. (2024). Socioeconomic characteristics, cancer mortality, and universal health coverage: A global analysis. Med. 5(8). 926–942.e3. 5 indexed citations
5.
Wang, Chenran, et al.. (2024). Microglial autophagy in neurogenesis: a new player in Alzheimer’s disease. Neural Regeneration Research. 19(12). 2573–2574. 2 indexed citations
6.
Wang, Chenran, et al.. (2024). Utilizing human cerebral organoids to model breast cancer brain metastasis in culture. Breast Cancer Research. 26(1). 108–108. 8 indexed citations
7.
Wohleb, Eric S., et al.. (2023). ATG5 (autophagy related 5) in microglia controls hippocampal neurogenesis in Alzheimer disease. Autophagy. 20(4). 847–862. 22 indexed citations
8.
Wang, Chenran, Shen Sun, Jing Jiao, Xinhua Yu, & Shaoqiang Huang. (2022). Effects of delta-opioid receptor agonist pretreatment on the cardiotoxicity of bupivacaine in rats. BMC Anesthesiology. 22(1). 19–19. 3 indexed citations
9.
Wang, Chenran, Syn Kok Yeo, Subrahmanya Vallabhapurapu, et al.. (2021). Autophagy mediated lipid catabolism facilitates glioma progression to overcome bioenergetic crisis. British Journal of Cancer. 124(10). 1711–1723. 15 indexed citations
10.
Zhou, Li, et al.. (2021). Opposing responses of the rat pulmonary artery and vein to phenylephrine and other agents in vitro. BMC Pulmonary Medicine. 21(1). 189–189. 3 indexed citations
11.
Tang, Xin, et al.. (2021). The Characterization of a Subependymal Giant Astrocytoma-Like Cell Line from Murine Astrocyte with mTORC1 Hyperactivation. International Journal of Molecular Sciences. 22(8). 4116–4116. 2 indexed citations
12.
Wang, Chenran, Fei Yi, Syn Kok Yeo, et al.. (2021). Non-canonical function of FIP200 is required for neural stem cell maintenance and differentiation by limiting TBK1 activation and p62 aggregate formation. Scientific Reports. 11(1). 23907–23907. 9 indexed citations
13.
Deng, Shan, Kobina Essandoh, Xiaohong Wang, et al.. (2020). Tsg101 positively regulates P62-Keap1-Nrf2 pathway to protect hearts against oxidative damage. Redox Biology. 32. 101453–101453. 43 indexed citations
14.
15.
Wen, Jian, Syn Kok Yeo, Chenran Wang, et al.. (2015). Autophagy inhibition re-sensitizes pulse stimulation-selected paclitaxel-resistant triple negative breast cancer cells to chemotherapy-induced apoptosis. Breast Cancer Research and Treatment. 149(3). 619–629. 48 indexed citations
16.
Wei, Huijun, Chenran Wang, Carlo M. Croce, & Jun‐Lin Guan. (2014). p62/SQSTM1 synergizes with autophagy for tumor growth in vivo. Genes & Development. 28(11). 1204–1216. 94 indexed citations
17.
Guan, Jun-Lin, Anna Katharina Simon, Mark Prescott, et al.. (2013). Autophagy in stem cells. Autophagy. 9(6). 830–849. 236 indexed citations
18.
Luo, Ming, Huaping Fan, Tamás Nagy, et al.. (2009). Mammary Epithelial-Specific Ablation of the Focal Adhesion Kinase Suppresses Mammary Tumorigenesis by Affecting Mammary Cancer Stem/Progenitor Cells. Cancer Research. 69(2). 466–474. 174 indexed citations
19.
Liang, Chun-Chi, Chenran Wang, Peng Xu, Boyi Gan, & Jun‐Lin Guan. (2009). Neural-specific Deletion of FIP200 Leads to Cerebellar Degeneration Caused by Increased Neuronal Death and Axon Degeneration. Journal of Biological Chemistry. 285(5). 3499–3509. 186 indexed citations
20.
Yoo, Youngdong, et al.. (2009). Tyrosine phosphorylation of cofilin at Y68 by v-Src leads to its degradation through ubiquitin–proteasome pathway. Oncogene. 29(2). 263–272. 53 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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