Shihe Liu

486 total citations
37 papers, 347 citations indexed

About

Shihe Liu is a scholar working on Pulmonary and Respiratory Medicine, Molecular Biology and Hematology. According to data from OpenAlex, Shihe Liu has authored 37 papers receiving a total of 347 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Pulmonary and Respiratory Medicine, 9 papers in Molecular Biology and 9 papers in Hematology. Recurrent topics in Shihe Liu's work include Acute Myeloid Leukemia Research (8 papers), RNA Interference and Gene Delivery (5 papers) and Chronic Myeloid Leukemia Treatments (5 papers). Shihe Liu is often cited by papers focused on Acute Myeloid Leukemia Research (8 papers), RNA Interference and Gene Delivery (5 papers) and Chronic Myeloid Leukemia Treatments (5 papers). Shihe Liu collaborates with scholars based in China, United States and United Kingdom. Shihe Liu's co-authors include F. Charles Brunicardi, Chuanyu Zhang, Jianxiang Wang, Marie‐Claude Gingras, Qin Yang, Xiaoping Wang, Narasimhaswamy S. Belaguli, Richard A. Gibbs, Min Li and Nancy Smyth Templeton and has published in prestigious journals such as The Journal of Clinical Endocrinology & Metabolism, International Journal of Molecular Sciences and Frontiers in Immunology.

In The Last Decade

Shihe Liu

33 papers receiving 345 citations

Peers

Shihe Liu

PRM

SURGE

RNMI

HEMAT

Masanari Hasegawa Japan

Xiaowen Ge China

Rony Weitzen Israel

Marrie Barrett-Bergshoeff Netherlands

Lewis S. Hanna United States

Barbara Reich Germany

Anna Kulidjian United States

Jessica McHugh United States

Chaw‐Ning Lee Taiwan

Xingyu Jiang China

Masanari Hasegawa Japan

Shihe Liu

107 ×1.1

65 ×0.7

PRM

86 ×1.4

SURGE

45 ×0.7

RNMI

33 ×0.6

HEMAT

Citations per year, relative to Shihe Liu Shihe Liu (= 1×) peers Masanari Hasegawa

Countries citing papers authored by Shihe Liu

Since Specialization

Citations

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

Fields of papers citing papers by Shihe Liu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shihe Liu

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

All Works

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20 of 20 papers shown

Liu, Shihe, et al.. (2025). Multiple programmed cell death patterns predict the prognosis and drug sensitivity in gastric cancer. Frontiers in Immunology. 16. 1511453–1511453.

Liu, Shihe, et al.. (2025). Association between the cumulative exposure to atherogenic index of plasma and risk of cardiometabolic diseases: a prospective cohort study. Endocrine. 89(1). 67–78.

Yang, Yibo, Jia Zhang, Shihe Liu, et al.. (2024). Nanoparticles loaded with β-Lapachone and Fe³⁺ exhibit enhanced chemodynamic therapy by producing H₂O₂ through cascaded amplification. Biomedical Materials. 19(2). 25024–25024. 3 indexed citations

Liu, Shihe, et al.. (2024). Association of cumulative non-high-density lipoprotein cholesterol to high-density lipoprotein cholesterol ratio with the risk of cardiometabolic disease. Frontiers in Cardiovascular Medicine. 11. 1500025–1500025. 6 indexed citations

Nie, Pei, Shihe Liu, Ruizhi Zhou, et al.. (2023). A preoperative CT-based deep learning radiomics model in predicting the stage, size, grade and necrosis score and outcome in localized clear cell renal cell carcinoma: A multicenter study. European Journal of Radiology. 166. 111018–111018. 12 indexed citations

Yao, Yuan, et al.. (2022). Predicting the grade of meningiomas by clinical–radiological features: A comparison of precontrast and postcontrast MRI. Frontiers in Oncology. 12. 1053089–1053089. 8 indexed citations

Li, Jian, Qing Zhang, Jiahui Cai, et al.. (2022). A Double-Chamber “Dandelion” Appearance Sequential Drug Delivery System for Synergistic Treatment of Malignant Tumors. International Journal of Nanomedicine. Volume 17. 3821–3839. 5 indexed citations

Li, Jian, Shihe Liu, Jiahui Cai, et al.. (2022). Aptamer-functionalized quercetin thermosensitive liposomes for targeting drug delivery and antitumor therapy. Biomedical Materials. 17(6). 65003–65003. 11 indexed citations

Li, Jian, Shihe Liu, Jiahui Cai, et al.. (2021). Layered and orthogonal assembly of hydrophilic drugs and hydrophobic photosensitizers for enhanced cancer therapy. Biomaterials Advances. 133. 112598–112598. 6 indexed citations

10.

Li, Jian, et al.. (2021). Effect of a Drug Delivery System Made of Quercetin Formulated into PEGylation Liposomes on Cervical Carcinoma In Vitro and In Vivo. Journal of Nanomaterials. 2021. 1–12. 20 indexed citations

11.

Liu, Shihe, Shunli Liu, Chuanyu Zhang, et al.. (2020). Exploratory Study of a CT Radiomics Model for the Classification of Small Cell Lung Cancer and Non-small-Cell Lung Cancer. Frontiers in Oncology. 10. 1268–1268. 31 indexed citations

12.

Wang, Hongbo, et al.. (2020). A 4-DOF Workspace Lower Limb Rehabilitation Robot: Mechanism Design, Human Joint Analysis and Trajectory Planning. Applied Sciences. 10(13). 4542–4542. 11 indexed citations

13.

Yu, Hualong, et al.. (2018). Application value of coaxial biopsy system in needle cutting biopsy for focal ground glass-like density nodule. Journal of Cancer Research and Therapeutics. 14(7). 1509–1509. 9 indexed citations

14.

Yu, Juehua, et al.. (2016). Pancreatic cancer actionable genes in precision medicine and personalized surgery. The Surgeon. 15(1). 24–29. 5 indexed citations

15.

Liu, Shihe, Qin Yang, Jiuhong Chen, et al.. (2010). Myocardial bridging on dual-source computed tomography: degree of systolic compression of mural coronary artery correlating with length and depth of the myocardial bridge. Clinical Imaging. 34(2). 83–88. 27 indexed citations

16.

Mi, Yingchang, et al.. (2008). Therapeutic experience of adult acute myeloid leukemia in a single institution of China and its relationship with chromosome karyotype. Leukemia & lymphoma. 49(3). 524–530. 19 indexed citations

17.

Liu, Shihe, Nikiforos Ballian, Narasimhaswamy S. Belaguli, et al.. (2008). PDX-1 Acts as a Potential Molecular Target for Treatment of Human Pancreatic Cancer. Pancreas. 37(2). 210–220. 52 indexed citations

18.

Liu, Shihe, Xiaoping Wang, & F. Charles Brunicardi. (2006). Enhanced Cytotoxicity of RIPTK Gene Therapy of Pancreatic Cancer via PDX-1 Co-Delivery. Journal of Surgical Research. 137(1). 1–9. 12 indexed citations

19.

Zhang, Xinwei, et al.. (2003). Ph-negative acute lymphocytic leukemia occurring after interferon therapy for Ph-positive chronic myelocytic leukemia. Leukemia Research. 27(4). 367–369. 7 indexed citations

20.

Liu, Shihe, et al.. (2001). A new complex variant t(4;15;17) in acute promyelocytic leukemia. Cancer Genetics and Cytogenetics. 130(1). 33–37. 14 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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