Shanglong Liu

2.0k total citations
83 papers, 1.4k citations indexed

About

Shanglong Liu is a scholar working on Oncology, Surgery and Molecular Biology. According to data from OpenAlex, Shanglong Liu has authored 83 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Oncology, 24 papers in Surgery and 21 papers in Molecular Biology. Recurrent topics in Shanglong Liu's work include Pancreatic and Hepatic Oncology Research (16 papers), Gastric Cancer Management and Outcomes (11 papers) and Colorectal Cancer Surgical Treatments (8 papers). Shanglong Liu is often cited by papers focused on Pancreatic and Hepatic Oncology Research (16 papers), Gastric Cancer Management and Outcomes (11 papers) and Colorectal Cancer Surgical Treatments (8 papers). Shanglong Liu collaborates with scholars based in China, United States and Italy. Shanglong Liu's co-authors include Yanbing Zhou, Yupei Zhao, Shougen Cao, Taiping Zhang, Menghua Dai, Ge Chen, Dongfeng Zhang, Ying Li, Zhiliang Wei and Lei You and has published in prestigious journals such as Advanced Materials, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Shanglong Liu

73 papers receiving 1.4k citations

Peers

Shanglong Liu

ONCOL

SURGE

PRM

Alfredo Ribeiro‐Silva Brazil

Jan‐Show Chu Taiwan

Ting Jin China

Yiyao Xu China

Kathrin Scheckenbach Germany

Wen‐Sy Tsai Taiwan

Yue Yu China

Shui‐Hong Zhou China

Francesco Sabbatino Italy

Alfredo Ribeiro‐Silva Brazil

Shanglong Liu

890 ×1.4

ONCOL

658 ×1.1

444 ×1.2

341 ×1.1

SURGE

225 ×1.1

PRM

Citations per year, relative to Shanglong Liu Shanglong Liu (= 1×) peers Alfredo Ribeiro‐Silva

Countries citing papers authored by Shanglong Liu

Since Specialization

Citations

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

Fields of papers citing papers by Shanglong Liu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shanglong Liu

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Liu, Lei, Shanglong Liu, Xiaomin Xia, et al.. (2025). Association of radiotherapy with secondary pelvic cancers in male patients with rectal cancer. International Journal of Colorectal Disease. 40(1). 65–65.

Yang, Mingyu, Wenzhi Wu, Jing He, et al.. (2025). Development and validation of a machine learning model for predicting venous thromboembolism complications following colorectal cancer surgery. PubMed. 8(1). 22–22.

Feng, Qi, Hongna Zhang, Shanglong Liu, et al.. (2025). A Dimer Acceptor with Intramolecular Non‐Covalent Interactions for Low Energy Loss, Highly Efficient and Stable Organic Solar Cells. Advanced Functional Materials. 35(46).

Liu, Shanglong, et al.. (2024). MHAN-DTA: A Multiscale Hybrid Attention Network for Drug-Target Affinity Prediction. IEEE Journal of Biomedical and Health Informatics. 29(11). 7910–7921. 3 indexed citations

Liu, Xuejun, et al.. (2024). Development and validation of a radiopathomics model for predicting liver metastases of colorectal cancer. European Radiology. 35(6). 3409–3417. 1 indexed citations

Li, Ying, et al.. (2024). Extracellular vesicle-mediated pre-metastatic niche formation via altering host microenvironments. Frontiers in Immunology. 15. 1367373–1367373. 26 indexed citations

Xiang, Shuai, et al.. (2024). Chemotherapy-induced pneumatosis intestinalis followed by hepatic portal venous gas. A case report. Journal of International Medical Research. 52(3). 3649300204–3649300204. 1 indexed citations

Wang, Jing, et al.. (2023). Targeting tumor immunosuppressive microenvironment for pancreatic cancer immunotherapy: Current research and future perspective. Frontiers in Oncology. 13. 1166860–1166860. 36 indexed citations

Xiang, Shuai, et al.. (2022). Development and validation of a nomogram to predict anastomotic leakage in colorectal cancer based on CT body composition. Frontiers in Nutrition. 9. 974903–974903. 9 indexed citations

10.

Liu, Shanglong, Xiaoning Kang, Xiaojuan Yang, et al.. (2021). Establishment and Clinical Application of an Artificial Intelligence Diagnostic Platform for Identifying Rectal Cancer Tumor Budding. Frontiers in Oncology. 11. 626626–626626. 11 indexed citations

11.

Liu, Shanglong, et al.. (2020). Current treatment approaches for COVID-19 and the clinical value of transfusion-related technologies. Transfusion and Apheresis Science. 59(5). 102839–102839. 17 indexed citations

12.

Liu, Shanglong, et al.. (2019). Transplantation of bone marrow mesenchymal stem cells alleviates spinal cord injury via inhibiting Notch signaling.. PubMed. 23(3 Suppl). 31–38. 8 indexed citations

13.

Liu, Shanglong, et al.. (2019). Exosomes as critical mediators of cell-to-cell communication in cancer pathogenesis and their potential clinical application. Translational Cancer Research. 8(1). 298–311. 10 indexed citations

14.

Wang, Hao, Shougen Cao, Xiaobin Zhou, et al.. (2019). Impacts of the Surgical Safety Checklist on Postoperative Clinical Outcomes in Gastrointestinal Tumor Patients: A Single-center Cohort Study. 4(1). 2 indexed citations

15.

Liu, Shanglong, Ying Li, Xiaojuan Yang, & Xiaoning Kang. (2019). The regulatory roles of long noncoding RNAs in the biological behavior of pancreatic cancer. Saudi Journal of Gastroenterology. 25(3). 145–145. 26 indexed citations

16.

Wang, Jigang, Yun Lü, Shanglong Liu, et al.. (2019). [Clinical application of convolutional neural network in pathological diagnosis of metastatic lymph nodes of gastric cancer].. PubMed. 57(12). 934–938. 6 indexed citations

17.

Yang, Xiaopeng, Shanglong Liu, Jianfei Xu, et al.. (2017). Pancreatic stellate cells increase pancreatic cancer cells invasion through the hepatocyte growth factor /c-Met/survivin regulated by P53/P21. Experimental Cell Research. 357(1). 79–87. 25 indexed citations

18.

Chen, Ge, Shanglong Liu, Yupei Zhao, Menghua Dai, & Taiping Zhang. (2013). Diagnostic accuracy of endoscopic ultrasound-guided fine-needle aspiration for pancreatic cancer: A meta-analysis. Pancreatology. 13(3). 298–304. 129 indexed citations

19.

Liu, Shanglong, Ge Chen, Yupei Zhao, Wenming Wu, & Taiping Zhang. (2013). Diagnostic accuracy of K-ras mutation for pancreatic carcinoma: a meta-analysis. Hepatobiliary & pancreatic diseases international. 12(5). 458–464. 10 indexed citations

20.

Shan, Duo, Zeng Ge, Lan Wang, et al.. (2011). Quality of Life and Related Factors among HIV-Positive Spouses from Serodiscordant Couples under Antiretroviral Therapy in Henan Province, China. PLoS ONE. 6(6). e21839–e21839. 32 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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