Changcan Li

477 total citations
18 papers, 293 citations indexed

About

Changcan Li is a scholar working on Molecular Biology, Oncology and Hepatology. According to data from OpenAlex, Changcan Li has authored 18 papers receiving a total of 293 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 6 papers in Oncology and 5 papers in Hepatology. Recurrent topics in Changcan Li's work include Liver Disease and Transplantation (4 papers), Hepatocellular Carcinoma Treatment and Prognosis (3 papers) and Liver Disease Diagnosis and Treatment (3 papers). Changcan Li is often cited by papers focused on Liver Disease and Transplantation (4 papers), Hepatocellular Carcinoma Treatment and Prognosis (3 papers) and Liver Disease Diagnosis and Treatment (3 papers). Changcan Li collaborates with scholars based in China, United States and North Korea. Changcan Li's co-authors include Huayu Yang, Yilei Mao, Shaohan Wu, Lejia Sun, Zhao‐Wen Wang, Yuan Liu, Junwei Fan, Bin Li, Xueni Liu and Gang Xu and has published in prestigious journals such as Biochemical and Biophysical Research Communications, Frontiers in Immunology and IEEE Transactions on Biomedical Engineering.

In The Last Decade

Changcan Li

18 papers receiving 289 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Changcan Li China 10 164 97 63 38 37 18 293
Aya Matsuda Japan 7 156 1.0× 85 0.9× 109 1.7× 16 0.4× 22 0.6× 18 294
Shuangshuang Lu China 12 143 0.9× 133 1.4× 71 1.1× 21 0.6× 14 0.4× 31 338
Yoshihiro Sadamoto Japan 6 204 1.2× 108 1.1× 158 2.5× 27 0.7× 19 0.5× 10 340
Xi-Rong Tan China 9 240 1.5× 88 0.9× 104 1.7× 11 0.3× 25 0.7× 17 339
Chundong Cheng China 7 139 0.8× 141 1.5× 89 1.4× 23 0.6× 16 0.4× 9 308
Yao Sun China 6 72 0.4× 82 0.8× 32 0.5× 61 1.6× 23 0.6× 14 269
Mitchell P. Levesque Switzerland 10 198 1.2× 86 0.9× 49 0.8× 22 0.6× 15 0.4× 26 325
Tarig Osman Norway 11 165 1.0× 60 0.6× 46 0.7× 18 0.5× 30 0.8× 22 329
Doo Byung Chay South Korea 13 96 0.6× 84 0.9× 61 1.0× 12 0.3× 12 0.3× 27 311
Marko Kornmann Germany 10 179 1.1× 178 1.8× 78 1.2× 14 0.4× 20 0.5× 26 375

Countries citing papers authored by Changcan Li

Since Specialization
Citations

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

Fields of papers citing papers by Changcan Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Changcan Li

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

All Works

18 of 18 papers shown
1.
Sun, Hang, Yan Wang, Minghao Sun, et al.. (2024). Developing Patient-Derived 3D-Bioprinting models of pancreatic cancer. Journal of Advanced Research. 74. 165–174. 5 indexed citations
2.
Xu, Haifeng, et al.. (2023). Intermittent fasting and immunomodulatory effects: A systematic review. Frontiers in Nutrition. 10. 1048230–1048230. 13 indexed citations
3.
Wang, Peipei, Lejia Sun, Changcan Li, et al.. (2023). Study on drug screening multicellular model for colorectal cancer constructed by three-dimensional bioprinting technology. International Journal of Bioprinting. 9(3). 694–694. 19 indexed citations
4.
Sun, Lejia, Bao Jin, Changcan Li, et al.. (2023). Intratumoural microbiome can predict the prognosis of hepatocellular carcinoma after surgery. Clinical and Translational Medicine. 13(7). e1331–e1331. 64 indexed citations
5.
Xu, Gang, Yun Wang, Huimin Lu, et al.. (2023). Portal Vein Pressure Estimation and Portal Hypertension Discrimination Based on Subharmonic Scattering of Ultrasound Contrast Agent Microbubbles. IEEE Transactions on Biomedical Engineering. 71(1). 150–159. 2 indexed citations
6.
Yang, Mengdi, Dan Li, Zhiyuan Jiang, et al.. (2022). TGF-β-Induced FLRT3 Attenuation Is Essential for Cancer-Associated Fibroblast–Mediated Epithelial–Mesenchymal Transition in Colorectal Cancer. Molecular Cancer Research. 20(8). 1247–1259. 20 indexed citations
7.
Lu, Huimin, Gang Xu, Yun Wang, et al.. (2022). Correlation Between Portal Vein Pressure and Subharmonic Scattering Signals From SonoVue Microbubbles in Canines. Ultrasound in Medicine & Biology. 49(1). 203–211. 8 indexed citations
8.
Yang, Mengdi, Qianru Huang, Changcan Li, et al.. (2021). TOX Acts as a Tumor Suppressor by Inhibiting mTOR Signaling in Colorectal Cancer. Frontiers in Immunology. 12. 647540–647540. 14 indexed citations
9.
Liu, Yuan, et al.. (2021). Estradiol is significantly associated with prognosis in non-surgical liver cancer patients: from bench to bedside. Aging. 13(3). 3483–3500. 6 indexed citations
10.
Yang, Mengdi, Changcan Li, Jing Ping Sun, et al.. (2020). Methylation-Induced Silencing of ALDH2 Facilitates Lung Adenocarcinoma Bone Metastasis by Activating the MAPK Pathway. Frontiers in Oncology. 10. 1141–1141. 23 indexed citations
11.
Chen, Fuying, Changcan Li, Jia Zhang, et al.. (2020). Next‐generation sequencing through multigene panel testing for the diagnosis of hereditary epidermolysis bullosa in Chinese population. Clinical Genetics. 98(2). 179–184. 10 indexed citations
12.
Liu, Jingting, et al.. (2019). Albumin-bilirubin grade as a prognostic factor of hepatocellular carcinoma after treatment with orthotopic liver transplantation. Translational Cancer Research. 8(4). 1457–1465. 2 indexed citations
13.
Liu, Jingting, et al.. (2019). Deleted in Breast Cancer 1 as a Novel Prognostic Biomarker for Digestive System Cancers: A Meta-Analysis. Journal of Cancer. 10(7). 1633–1641. 2 indexed citations
14.
Xue, Ying, Xuebing Jia, Changcan Li, et al.. (2019). DDX17 promotes hepatocellular carcinoma progression via inhibiting Klf4 transcriptional activity. Cell Death and Disease. 10(11). 814–814. 33 indexed citations
15.
Li, Changcan, Xisheng Liu, Yuan Liu, et al.. (2018). Keratin 80 promotes migration and invasion of colorectal carcinoma by interacting with PRKDC via activating the AKT pathway. Cell Death and Disease. 9(10). 1009–1009. 46 indexed citations
16.
Li, Changcan, et al.. (2017). Overexpression of DBC1, correlated with poor prognosis, is a potential therapeutic target for hepatocellular carcinoma. Biochemical and Biophysical Research Communications. 494(3-4). 511–517. 15 indexed citations
17.
Li, Changcan, et al.. (2017). Gene Variations of Sixth Complement Component Affecting Tacrolimus Metabolism in Patients with Liver Transplantation for Hepatocellular Carcinoma. Chinese Medical Journal. 130(14). 1670–1676. 5 indexed citations
18.
Liu, Yuan, Tao Zhang, Changcan Li, et al.. (2017). SLC28A3 Rs7853758 as a New Biomarker of Tacrolimus Elimination and New-Onset Hypertension in Chinese Liver Transplantation Patients. Biomarkers in Medicine. 11(8). 607–618. 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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