Sihang Cheng

912 total citations
32 papers, 627 citations indexed

About

Sihang Cheng is a scholar working on Oncology, Radiology, Nuclear Medicine and Imaging and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Sihang Cheng has authored 32 papers receiving a total of 627 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Oncology, 9 papers in Radiology, Nuclear Medicine and Imaging and 8 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Sihang Cheng's work include Radiomics and Machine Learning in Medical Imaging (8 papers), Pancreatic and Hepatic Oncology Research (7 papers) and Renal cell carcinoma treatment (5 papers). Sihang Cheng is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (8 papers), Pancreatic and Hepatic Oncology Research (7 papers) and Renal cell carcinoma treatment (5 papers). Sihang Cheng collaborates with scholars based in China, United States and Finland. Sihang Cheng's co-authors include Kathleen R. Merikangas, Marilyn Stolar, Brenda T. Fenton, Huadan Xue, Zhengyu Jin, Yuejuan Cheng, Milan Sedliak, K. Häkkinen, Taija Finni and Yumin Wang and has published in prestigious journals such as Journal of Colloid and Interface Science, Journal of Bone and Mineral Research and Frontiers in Immunology.

In The Last Decade

Sihang Cheng

30 papers receiving 604 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sihang Cheng China 12 191 150 112 96 89 32 627
Yo Ushijima Japan 14 102 0.5× 131 0.9× 88 0.8× 35 0.4× 114 1.3× 36 702
Chio Okuyama Japan 16 85 0.4× 217 1.4× 116 1.0× 47 0.5× 146 1.6× 70 869
David McKean United Kingdom 13 61 0.3× 146 1.0× 25 0.2× 120 1.3× 217 2.4× 40 687
F Pons Spain 15 50 0.3× 164 1.1× 161 1.4× 57 0.6× 181 2.0× 33 638
Galal Elsayed United States 14 35 0.2× 48 0.3× 73 0.7× 96 1.0× 87 1.0× 39 574
Martin Furtner Austria 12 53 0.3× 278 1.9× 49 0.4× 116 1.2× 83 0.9× 23 827
Sung Hyuk Heo South Korea 17 53 0.3× 366 2.4× 34 0.3× 69 0.7× 114 1.3× 82 907
Bárbara Juarez Amorim Brazil 13 70 0.4× 100 0.7× 105 0.9× 38 0.4× 72 0.8× 57 550
Fengchun Hua China 12 57 0.3× 43 0.3× 112 1.0× 36 0.4× 120 1.3× 44 442
A Lazzari United States 16 271 1.4× 47 0.3× 91 0.8× 125 1.3× 244 2.7× 34 899

Countries citing papers authored by Sihang Cheng

Since Specialization
Citations

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

Fields of papers citing papers by Sihang Cheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sihang Cheng

This figure shows the co-authorship network connecting the top 25 collaborators of Sihang Cheng. A scholar is included among the top collaborators of Sihang Cheng 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 Sihang Cheng. Sihang Cheng 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.
Cheng, Sihang, Ge Hu, Zhe Zhang, et al.. (2025). Machine Learning‐Based Radiomics in Malignancy Prediction of Pancreatic Cystic Lesions: Evidence from Cyst Fluid Multi‐Omics. Advanced Science. 12(20). e2409488–e2409488. 2 indexed citations
2.
Wang, Yumin, Yulin Li, Zhe Zhang, et al.. (2025). The activation of cGAS-STING pathway offers novel therapeutic opportunities in cancers. Frontiers in Immunology. 16. 1579832–1579832. 3 indexed citations
3.
Wang, Hongquan, Joshua S. Fleishman, Sihang Cheng, et al.. (2024). Epigenetic modification of ferroptosis by non-coding RNAs in cancer drug resistance. Molecular Cancer. 23(1). 177–177. 32 indexed citations
4.
Liu, Cuimei, Sihang Cheng, Xue Zhou, et al.. (2024). Mitochondrial dynamics and energy metabolism interference therapy for promoting photothermal sensitization. Journal of Colloid and Interface Science. 680(Pt A). 429–440. 2 indexed citations
5.
Cheng, Sihang, Qian Wang, Hanwei Chen, et al.. (2024). Effect of Mesenchymal Stem Cell–Derived Extracellular Vesicles Induced by Advanced Glycation End Products on Energy Metabolism in Vascular Endothelial Cells. Kidney International Reports. 10(1). 227–246. 5 indexed citations
6.
Wang, Yumin, Sihang Cheng, Joshua S. Fleishman, et al.. (2024). Targeting anoikis resistance as a strategy for cancer therapy. Drug Resistance Updates. 75. 101099–101099. 27 indexed citations
7.
8.
Sun, Hao, Huadan Xue, Sihang Cheng, et al.. (2022). A deep learning algorithm to improve readers’ interpretation and speed of pancreatic cystic lesions on dual-phase enhanced CT. Abdominal Radiology. 47(6). 2135–2147. 11 indexed citations
9.
Gao, Yuhan, et al.. (2022). A systematic review of prognosis predictive role of radiomics in pancreatic cancer: heterogeneity markers or statistical tricks?. European Radiology. 32(12). 8443–8452. 29 indexed citations
10.
Cheng, Sihang, Zhengyu Jin, & Huadan Xue. (2021). Assessment of Response to Chemotherapy in Pancreatic Cancer with Liver Metastasis: CT Texture as a Predictive Biomarker. Diagnostics. 11(12). 2252–2252.
11.
Cheng, Sihang, Dong Liu, Bo Hou, et al.. (2019). PET-MR Imaging and MR Texture Analysis in the Diagnosis of Pancreatic Cysts: A Prospective Preliminary Study. Academic Radiology. 27(7). 996–1005. 2 indexed citations
12.
Cheng, Sihang, Yuejuan Cheng, Zhengyu Jin, & Huadan Xue. (2019). Unresectable pancreatic ductal adenocarcinoma: Role of CT quantitative imaging biomarkers for predicting outcomes of patients treated with chemotherapy. European Journal of Radiology. 113. 188–197. 42 indexed citations
13.
Cheng, Sihang & Petri Wiklund. (2017). The effects of muscle mass and muscle quality on cardio-metabolic risk in peripubertal girls: a longitudinal study from childhood to early adulthood. International Journal of Obesity. 42(4). 648–654. 15 indexed citations
14.
Liu, Jiaming, Jin Yang, Yahong Chen, et al.. (2016). Is steroids therapy effective in treating phimosis? A meta-analysis. International Urology and Nephrology. 48(3). 335–342. 14 indexed citations
15.
Cheng, Sihang, et al.. (2014). [Circumcision with no-flip Shang Ring technique for adult males: analysis of 168 cases].. PubMed. 20(4). 320–4. 3 indexed citations
16.
Liu, Lei, Xuelei Ma, Zhilan Xiao, et al.. (2012). Prognostic Value of Vascular Endothelial Growth Factor Expression in Resected Gastric Cancer. Asian Pacific Journal of Cancer Prevention. 13(7). 3089–3097. 33 indexed citations
17.
Alén, Markku, et al.. (2008). Born Small Is Not Bad for Bone. Journal of Bone and Mineral Research. 23. 1 indexed citations
18.
Carbone, Laura D., et al.. (2000). Bone Density in Ehlers-Danlos Syndrome. Osteoporosis International. 11(5). 388–392. 33 indexed citations
19.
Merikangas, Kathleen R., et al.. (1997). Association Between Migraine and Stroke in a Large-scale Epidemiological Study of the United States. Archives of Neurology. 54(4). 362–368. 224 indexed citations
20.
Kyr�l�inen, H., et al.. (1990). Mechanical efficiency of locomotion in females during different kinds of muscle action. European Journal of Applied Physiology. 61(5-6). 446–452. 26 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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