Rong Shao

3.2k total citations
58 papers, 2.3k citations indexed

About

Rong Shao is a scholar working on Oncology, Molecular Biology and Physiology. According to data from OpenAlex, Rong Shao has authored 58 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Oncology, 13 papers in Molecular Biology and 10 papers in Physiology. Recurrent topics in Rong Shao's work include Peptidase Inhibition and Analysis (6 papers), Drug Transport and Resistance Mechanisms (5 papers) and Lysosomal Storage Disorders Research (5 papers). Rong Shao is often cited by papers focused on Peptidase Inhibition and Analysis (6 papers), Drug Transport and Resistance Mechanisms (5 papers) and Lysosomal Storage Disorders Research (5 papers). Rong Shao collaborates with scholars based in China, United States and Thailand. Rong Shao's co-authors include Wei Yan, Ryan M. Anderson, Xuefang Bai, Shideng Bao, Xiao-Fan Wang, Don C. Rockey, Brooke Bentley, Min Liu, Zhi Huang and Gaoliang Ouyang and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Clinical Investigation and Journal of Neuroscience.

In The Last Decade

Rong Shao

55 papers receiving 2.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rong Shao China 21 981 730 463 441 312 58 2.3k
Rongxue Wu United States 21 1.0k 1.1× 334 0.5× 323 0.7× 720 1.6× 174 0.6× 48 2.4k
Junli Guo China 32 1.2k 1.2× 398 0.5× 448 1.0× 194 0.4× 333 1.1× 96 2.4k
Hiroshi Yagi Japan 29 1.3k 1.3× 708 1.0× 329 0.7× 324 0.7× 294 0.9× 128 2.8k
Sharon Lim Sweden 25 1.3k 1.3× 712 1.0× 837 1.8× 362 0.8× 183 0.6× 29 2.9k
Yasuo Ishida Japan 25 900 0.9× 746 1.0× 380 0.8× 146 0.3× 817 2.6× 112 3.0k
Shinji Takai Japan 34 1.5k 1.5× 440 0.6× 324 0.7× 1.0k 2.3× 463 1.5× 147 3.8k
Hongmei Gu China 28 964 1.0× 362 0.5× 279 0.6× 148 0.3× 458 1.5× 96 2.3k
Zhaodong Li China 21 1.2k 1.2× 322 0.4× 332 0.7× 119 0.3× 364 1.2× 50 2.4k
Beate K. Straub Germany 32 1.3k 1.3× 355 0.5× 380 0.8× 170 0.4× 427 1.4× 121 3.1k
Baoheng Du United States 24 1.0k 1.0× 686 0.9× 579 1.3× 99 0.2× 209 0.7× 30 2.6k

Countries citing papers authored by Rong Shao

Since Specialization
Citations

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

Fields of papers citing papers by Rong Shao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rong Shao

This figure shows the co-authorship network connecting the top 25 collaborators of Rong Shao. A scholar is included among the top collaborators of Rong Shao 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 Rong Shao. Rong Shao 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.
Zhang, Tingrui, Hao Wu, Zekun Jiang, et al.. (2025). CT radiomics-based explainable machine learning model for accurate differentiation of malignant and benign endometrial tumors: a two-center study. BioMedical Engineering OnLine. 24(1). 129–129.
2.
Yang, Lei, et al.. (2025). Achieving efficient co-expression of endo- β-1,4-xylanase and α-arabinofuranosidase in Trichoderma reesei and application in the production of arabino-xylo-oligosaccharides. International Journal of Biological Macromolecules. 306(Pt 4). 141599–141599. 1 indexed citations
3.
Shao, Rong, Bo Jiang, Yin Hu, et al.. (2024). Phase I clinical trial evaluating the safety, tolerance, pharmacokinetics and pharmacodynamics of HSK21542 injection in healthy volunteers. Basic & Clinical Pharmacology & Toxicology. 135(6). 743–754. 4 indexed citations
4.
Wang, Haoyang, et al.. (2023). Progress and Challenges of the New Conditional Approval Process in China: A Pooled Analysis From 2018 to 2021. Clinical Therapeutics. 45(11). 1111–1118. 5 indexed citations
6.
Wang, Zeyu, Weijian Li, Xue Wang, et al.. (2023). Isoliquiritigenin induces HMOX1 and GPX4-mediated ferroptosis in gallbladder cancer cells. Chinese Medical Journal. 136(18). 2210–2220. 33 indexed citations
7.
Wang, Ziyi, Shijia Wang, Yunping Hu, et al.. (2023). YKL-40 derived from infiltrating macrophages cooperates with GDF15 to establish an immune suppressive microenvironment in gallbladder cancer. Cancer Letters. 563. 216184–216184. 36 indexed citations
8.
Ngernyuang, Nipaporn, et al.. (2022). Green synthesized apigenin conjugated gold nanoparticles inhibit cholangiocarcinoma cell activity and endothelial cell angiogenesis in vitro. Heliyon. 8(12). e12028–e12028. 25 indexed citations
9.
Wang, Ziyi, Shijia Wang, Yuhao Zhao, et al.. (2022). Establishment and characterization of an immortalized epithelial cell line from human gallbladder. Frontiers in Oncology. 12. 994087–994087. 2 indexed citations
10.
Shao, Rong, Wenjun Chen, Zourong Ruan, et al.. (2021). Effects of food on the pharmacokinetics of ensartinib in healthy Chinese subjects. Clinical and Experimental Pharmacology and Physiology. 49(3). 360–369. 2 indexed citations
11.
Chen, Jinliang, Yichao Xu, Honggang Lou, et al.. (2020). Effect of Genetic Polymorphisms on the Pharmacokinetics of Deferasirox in Healthy Chinese Subjects and an Artificial Neural Networks Model for Pharmacokinetic Prediction. European Journal of Drug Metabolism and Pharmacokinetics. 45(6). 761–770. 8 indexed citations
12.
Song, Xiaoling, Yunping Hu, Yongsheng Li, et al.. (2020). Overview of current targeted therapy in gallbladder cancer. Signal Transduction and Targeted Therapy. 5(1). 230–230. 112 indexed citations
13.
Chen, Jinliang, Honggang Lou, Bo Jiang, et al.. (2019). Effects of Food and Gender on Pharmacokinetics of Rosuvastatin in a Chinese Population Based on 4 Bioequivalence Studies. Clinical Pharmacology in Drug Development. 9(2). 235–245. 9 indexed citations
14.
Burton, Barbara K., Joel Charrow, George Hoganson, et al.. (2017). Newborn Screening for Lysosomal Storage Disorders in Illinois: The Initial 15-Month Experience. The Journal of Pediatrics. 190. 130–135. 139 indexed citations
17.
Bao, Shideng, Gaoliang Ouyang, Xuefang Bai, et al.. (2004). Periostin potently promotes metastatic growth of colon cancer by augmenting cell survival via the Akt/PKB pathway. Cancer Cell. 5(4). 329–339. 470 indexed citations
18.
Shao, Rong, Zengdun Shi, Philip J. Gotwals, et al.. (2003). Cell and Molecular Regulation of Endothelin-1 Production during Hepatic Wound Healing. Molecular Biology of the Cell. 14(6). 2327–2341. 35 indexed citations
19.
Shao, Rong & Don C. Rockey. (2002). Effects of endothelins on hepatic stellate cell synthesis of endothelin‐1 during hepatic wound healing. Journal of Cellular Physiology. 191(3). 342–350. 20 indexed citations
20.
Yu, Qinghua, Rong Shao, Hu Sheng Qian, Samuel E. George, & Don C. Rockey. (2000). Gene transfer of the neuronal NO synthase isoform to cirrhotic rat liver ameliorates portal hypertension. Journal of Clinical Investigation. 105(6). 741–748. 116 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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