Junjie Hang

864 total citations
31 papers, 634 citations indexed

About

Junjie Hang is a scholar working on Oncology, Surgery and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Junjie Hang has authored 31 papers receiving a total of 634 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Oncology, 8 papers in Surgery and 7 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Junjie Hang's work include Pancreatic and Hepatic Oncology Research (17 papers), Radiomics and Machine Learning in Medical Imaging (5 papers) and Cancer Immunotherapy and Biomarkers (5 papers). Junjie Hang is often cited by papers focused on Pancreatic and Hepatic Oncology Research (17 papers), Radiomics and Machine Learning in Medical Imaging (5 papers) and Cancer Immunotherapy and Biomarkers (5 papers). Junjie Hang collaborates with scholars based in China, Hong Kong and United States. Junjie Hang's co-authors include Liwei Wang, Hai Hu, Ting Han, Jiao Feng, Meng Zhuo, Xuguang Yang, Tiening Zhang, Yuli Lin, Rong Hua and Yan‐Miao Huo and has published in prestigious journals such as Journal of Clinical Oncology, PLoS ONE and Scientific Reports.

In The Last Decade

Junjie Hang

26 papers receiving 629 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Junjie Hang China	12	354	227	222	191	108	31	634
Hengkang Liu China	6	263 0.7×	264 1.2×	280 1.3×	170 0.9×	105 1.0×	6	637
Jinghui Cheng China	5	280 0.8×	276 1.2×	289 1.3×	178 0.9×	108 1.0×	9	683
Zenobia D’Costa United Kingdom	12	405 1.1×	268 1.2×	172 0.8×	115 0.6×	84 0.8×	14	655
Zhenqun Xu China	12	304 0.9×	299 1.3×	359 1.6×	290 1.5×	90 0.8×	20	827
Fuqiang Dai China	11	318 0.9×	263 1.2×	364 1.6×	163 0.9×	213 2.0×	21	793
Tadahito Yasuda Japan	10	292 0.8×	263 1.2×	140 0.6×	186 1.0×	93 0.9×	15	563
Zeyu Shuang China	14	296 0.8×	232 1.0×	88 0.4×	297 1.6×	113 1.0×	21	625
Shuo Xu China	11	167 0.5×	268 1.2×	184 0.8×	232 1.2×	75 0.7×	21	575
Borbála Székely Hungary	12	528 1.5×	187 0.8×	174 0.8×	249 1.3×	170 1.6×	31	717
Laurel B. Darragh United States	13	490 1.4×	159 0.7×	407 1.8×	86 0.5×	117 1.1×	22	764

Countries citing papers authored by Junjie Hang

Since Specialization

Citations

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

Fields of papers citing papers by Junjie Hang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Junjie Hang

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

Wu, Lixia, et al.. (2025). PPP3CB inhibits pancreatic cancer progression by promoting ATOH8 translocation and transcriptionally regulating Sp1. Life Sciences. 372. 123631–123631. 1 indexed citations

Huang, Junjie, Laiang Yao, Minmin Wang, et al.. (2024). IDDF2024-ABS-0455 Global epidemiology of liver cancer subtypes: insights from a comprehensive analysis. A275.1–A275.

Zhou, Yang, et al.. (2024). Pan-cancer analysis of Sp1 with a focus on immunomodulatory roles in gastric cancer. Cancer Cell International. 24(1). 338–338.

Huang, Ziwei, et al.. (2024). From 2015 to 2023: How Machine Learning Aids Natural Product Analysis. Chemistry Africa. 8(2). 505–522.

Huang, Junjie, Minmin Wang, Zhaojun Li, et al.. (2024). IDDF2024-ABS-0424 Global incidence of oesophageal cancer by histological and anatomical subtypes: a systematic analysis. A378–A379.

Huang, Junjie, Junjie Hang, Claire Chenwen Zhong, et al.. (2024). IDDF2024-ABS-0432 Global epidemiology of premature mortality from pancreatic cancer: identifying high-risk populations. A274.1–A274.

Huang, Junjie, Minmin Wang, Zhaojun Li, et al.. (2024). IDDF2024-ABS-0428 Global incidence of cardia and non-cardia gastric cancer: a population-based study. A379.1–A379. 1 indexed citations

Li, Jingjing, et al.. (2023). A nomogram based on CT texture features to predict the response of patients with advanced pancreatic cancer treated with chemotherapy. BMC Gastroenterology. 23(1). 274–274. 3 indexed citations

Li, Yuying, et al.. (2023). Development and Validation of a Radiomics Nomogram for Liver Metastases Originating from Gastric and Colorectal Cancer. Diagnostics. 13(18). 2937–2937. 4 indexed citations

10.

Dong, Xiao, Zixin Liu, Encheng Zhang, et al.. (2021). USP39 promotes tumorigenesis by stabilizing and deubiquitinating SP1 protein in hepatocellular carcinoma. Cellular Signalling. 85. 110068–110068. 32 indexed citations

11.

Hang, Junjie, Kequn Xu, Yueting Shao, et al.. (2021). Role of CT texture features for predicting outcome of pancreatic cancer patients with liver metastases. Journal of Cancer. 12(8). 2351–2358. 8 indexed citations

12.

Wu, Lixia, Lina Zhu, Kequn Xu, et al.. (2021). Clinical significance of site-specific metastases in pancreatic cancer: a study based on both clinical trial and real-world data. Journal of Cancer. 12(6). 1715–1721. 12 indexed citations

13.

Yang, Xuguang, Yun Lu, Junjie Hang, et al.. (2020). Lactate-Modulated Immunosuppression of Myeloid-Derived Suppressor Cells Contributes to the Radioresistance of Pancreatic Cancer. Cancer Immunology Research. 8(11). 1440–1451. 183 indexed citations

14.

Hang, Junjie, et al.. (2020). The role of phosphoprotein phosphatases catalytic subunit genes in pancreatic cancer. Bioscience Reports. 41(1). 10 indexed citations

15.

Wu, Lixia, Xiaoyong Wang, Kequn Xu, et al.. (2019). A Systematic Inflammation-based Model in Advanced Pancreatic Ductal Adenocarcinoma. Journal of Cancer. 10(26). 6673–6680. 7 indexed citations

16.

Hang, Junjie, Lixia Wu, & Kequn Xu. (2019). The clinical implication of CD45RA+ naive T cells and CD45RO+ memory T cells in advanced pancreatic cancer: A proxy for tumor biology and outcome prediction.. Journal of Clinical Oncology. 37(4_suppl). 196–196. 1 indexed citations

17.

Huang, Jin, et al.. (2018). Interaction of H. pylori with toll-like receptor 2-196 to -174 ins/del polymorphism is associated with gastric cancer susceptibility in southern China. International Journal of Clinical Oncology. 24(5). 494–500. 11 indexed citations

18.

Hang, Junjie, Peng Xue, Haiyan Yang, et al.. (2017). Pretreatment C-reactive protein to albumin ratio for predicting overall survival in advanced pancreatic cancer patients. Scientific Reports. 7(1). 2993–2993. 41 indexed citations

19.

Hu, Hai, Junjie Hang, Ting Han, et al.. (2016). The M2 phenotype of tumor-associated macrophages in the stroma confers a poor prognosis in pancreatic cancer. Tumor Biology. 37(7). 8657–8664. 140 indexed citations

20.

Hang, Junjie, et al.. (2014). Association of genetic polymorphisms of SAA1 (rs12218) with myocardial infarction in a Chinese population. Genetics and Molecular Research. 13(2). 3693–3696. 7 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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