Yanji Luo

996 total citations
59 papers, 685 citations indexed

About

Yanji Luo is a scholar working on Oncology, Epidemiology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Yanji Luo has authored 59 papers receiving a total of 685 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Oncology, 30 papers in Epidemiology and 23 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Yanji Luo's work include Pancreatic and Hepatic Oncology Research (22 papers), Neuroendocrine Tumor Research Advances (22 papers) and Radiomics and Machine Learning in Medical Imaging (16 papers). Yanji Luo is often cited by papers focused on Pancreatic and Hepatic Oncology Research (22 papers), Neuroendocrine Tumor Research Advances (22 papers) and Radiomics and Machine Learning in Medical Imaging (16 papers). Yanji Luo collaborates with scholars based in China, Australia and United States. Yanji Luo's co-authors include Shi‐Ting Feng, Zhi Dong, Zi-Ping Li, Huasong Cai, Zhenpeng Peng, Jie Chen, Ziping Li, Ling Xu, Bingsheng Huang and Minhu Chen and has published in prestigious journals such as Gastroenterology, PLoS ONE and International Journal of Cancer.

In The Last Decade

Yanji Luo

52 papers receiving 670 citations

Peers

Yanji Luo

EPIDE

ONCOL

RNMI

HEPAT

SURGE

Zhi Dong China

Zhenpeng Peng China

JingXian Shen China

Seza Güleç United States

Zhendong Chen China

James M. McLoughlin United States

Selvinaz Özkara Türkiye

Hiroshi Demachi Japan

Chul Seung Kay South Korea

Bin‐Yan Zhong China

Zhi Dong China

Yanji Luo

219 ×0.8

EPIDE

153 ×0.6

ONCOL

204 ×0.8

RNMI

189 ×1.3

HEPAT

102 ×0.8

SURGE

Citations per year, relative to Yanji Luo Yanji Luo (= 1×) peers Zhi Dong

Countries citing papers authored by Yanji Luo

Since Specialization

Citations

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

Fields of papers citing papers by Yanji Luo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yanji Luo

This figure shows the co-authorship network connecting the top 25 collaborators of Yanji Luo. A scholar is included among the top collaborators of Yanji Luo 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 Yanji Luo. Yanji Luo 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

He, Qiao, Man Liu, Yuan Lin, et al.. (2025). Identification of gastroenteropancreatic neuroendocrine tumor patients with high liver tumor burden based on clinicopathological features. BMC Cancer. 25(1). 1217–1217.

Liu, Haikuan, Man Liu, Yuan Lin, et al.. (2025). Trans-Arterial Embolization for Liver Metastases of Gastroenteropancreatic Neuroendocrine Tumors: Response Indicates Survival Benefit?. Cancers. 17(2). 309–309. 2 indexed citations

Liu, Jiawei, Liqin Wang, Zhenpeng Peng, et al.. (2025). Added value of multifrequency magnetic resonance elastography in predicting pathological grading of pancreatic neuroendocrine neoplasms. Insights into Imaging. 16(1). 119–119. 1 indexed citations

Zhou, Xiaoqi, Mimi Tang, Yuying Chen, et al.. (2025). Preoperative MRI prediction and molecular pathway study of perineural invasion in intrahepatic cholangiocarcinoma: Insights from bioinformatics approach. European Journal of Surgical Oncology. 52(1). 110546–110546.

Liu, Man, Yu Wang, Yanji Luo, et al.. (2024). Efficacy, safety, and prognostic factors of capecitabine plus temozolomide regimen in patients with atypical thymic carcinoids. Therapeutic Advances in Medical Oncology. 16. 12742314–12742314.

Shi, Siya, Ruihao Liu, Jian Zhou, et al.. (2024). Development and validation of a CT-based radiomics model to predict survival-graded fibrosis in pancreatic ductal adenocarcinoma. International Journal of Surgery. 111(1). 950–961. 3 indexed citations

Shi, Siya, et al.. (2023). Dual-energy CT improves differentiation of non-hypervascular pancreatic neuroendocrine neoplasms from CA 19-9-negative pancreatic ductal adenocarcinomas. La radiologia medica. 129(1). 1–13. 5 indexed citations

Xu, Ziyue, Jia Chen, Xin Chen, et al.. (2023). Improving Tumor Classification by Reusing Self-Predicted Segmentation of Medical Images as Guiding Knowledge. IEEE Journal of Biomedical and Health Informatics. 28(1). 122–133. 4 indexed citations

Liu, Man, Hang Yu, Juan Ouyang, et al.. (2023). Circulating Regulatory T Cells: A Novel Marker Associated with Liver Metastasis and the Treatment Response of Transarterial Embolization in Gastroenteropancreatic Neuroendocrine Tumors. Neuroendocrinology. 114(9). 827–839. 2 indexed citations

10.

Shu, Man, et al.. (2023). Diagnosis, Treatment, and Prognosis of Patients with Primary Familial Gastrointestinal Stromal Tumor: A Case Report and Literature Review. The Oncologist. 28(12). e1134–e1141.

11.

Zhou, Xiaoqi, Chenyu Song, Zhoulei Li, et al.. (2023). CT-based nomogram development and validation to predict SSTR2, VEGFR2 and MGMT expression for pancreatic neuroendocrine neoplasms. 6(3). 100–115.

12.

He, Qiao, Man Liu, Yuan Lin, et al.. (2022). The role of quantitative tumor burden based on [68 Ga]Ga-DOTA-NOC PET/CT in well-differentiated neuroendocrine tumors: beyond prognosis. European Journal of Nuclear Medicine and Molecular Imaging. 50(2). 525–534. 7 indexed citations

13.

Mo, Chengqiang, et al.. (2022). Bladder paraganglioma, gastrointestinal stromal tumor, and SDHB germline mutation in a patient with Carney-Stratakis syndrome: A case report and literature review. Frontiers in Oncology. 12. 1030092–1030092. 2 indexed citations

14.

Guan, Jian, Siya Shi, Chenyu Song, et al.. (2021). A narrative review of multiple endocrine neoplasia syndromes: genetics, clinical features, imaging findings, and diagnosis. Annals of Translational Medicine. 9(11). 944–944. 12 indexed citations

15.

Luo, Yanji, Xin Chen, Jie Chen, et al.. (2019). Preoperative Prediction of Pancreatic Neuroendocrine Neoplasms Grading Based on Enhanced Computed Tomography Imaging: Validation of Deep Learning with a Convolutional Neural Network. Neuroendocrinology. 110(5). 338–350. 50 indexed citations

16.

Wang, Yi, Jie Chen, Yanji Luo, et al.. (2018). Combined Volumetric and Density Analyses of Contrast-Enhanced CT Imaging to Assess Drug Therapy Response in Gastroenteropancreatic Neuroendocrine Diffuse Liver Metastasis. Contrast Media & Molecular Imaging. 2018. 1–10. 3 indexed citations

17.

Luo, Yanji, Jie Chen, Bingqi Shen, et al.. (2018). CT evaluation of response in advanced gastroenteropancreatic neuroendocrine tumors treated with long-acting-repeatable octreotide: what is the optimal size variation threshold?. European Radiology. 28(12). 5250–5257. 3 indexed citations

18.

Peng, Zhenpeng, Mengjie Jiang, Huasong Cai, et al.. (2016). Gd-EOB-DTPA-enhanced magnetic resonance imaging combined with T1 mapping predicts the degree of differentiation in hepatocellular carcinoma. BMC Cancer. 16(1). 625–625. 33 indexed citations

19.

Zhao, Jing, Minyi Cui, Ren Mao, et al.. (2015). Evaluation of intestinal tuberculosis by multi-slice computed tomography enterography. BMC Infectious Diseases. 15(1). 577–577. 14 indexed citations

20.

Dong, Zhi, Yanji Luo, Zhongwei Zhang, et al.. (2014). MR Quantification of Total Liver Fat in Patients with Impaired Glucose Tolerance and Healthy Subjects. PLoS ONE. 9(10). e111283–e111283. 31 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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