Ji Sun

1.0k total citations
32 papers, 762 citations indexed

About

Ji Sun is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Ji Sun has authored 32 papers receiving a total of 762 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 16 papers in Cancer Research and 8 papers in Oncology. Recurrent topics in Ji Sun's work include Cancer-related molecular mechanisms research (8 papers), MicroRNA in disease regulation (6 papers) and Circular RNAs in diseases (6 papers). Ji Sun is often cited by papers focused on Cancer-related molecular mechanisms research (8 papers), MicroRNA in disease regulation (6 papers) and Circular RNAs in diseases (6 papers). Ji Sun collaborates with scholars based in China and United States. Ji Sun's co-authors include Xionghui Mao, Susheng Miao, Lanlan Wei, Rong Pei, Xianguang Yang, Fangjia Tong, Bingqing Yan, Wěi Li, Xiu Cheng and Bozhi Wang and has published in prestigious journals such as International Journal of Cancer, Frontiers in Immunology and Journal of Cellular Physiology.

In The Last Decade

Ji Sun

32 papers receiving 760 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ji Sun China	15	483	326	135	131	71	32	762
Xionghui Mao China	16	401 0.8×	269 0.8×	133 1.0×	150 1.1×	80 1.1×	24	704
Susheng Miao China	14	327 0.7×	208 0.6×	60 0.4×	116 0.9×	65 0.9×	32	581
Ying‐Erh Chou Taiwan	18	488 1.0×	233 0.7×	62 0.5×	173 1.3×	67 0.9×	45	733
Binbin Yu China	15	374 0.8×	224 0.7×	36 0.3×	126 1.0×	95 1.3×	36	585
Ming-Tsung Lai Taiwan	13	309 0.6×	86 0.3×	71 0.5×	117 0.9×	104 1.5×	17	620
Li-Sheng Zheng China	14	343 0.7×	144 0.4×	52 0.4×	221 1.7×	50 0.7×	14	575
Young‐Lan Park South Korea	17	382 0.8×	129 0.4×	106 0.8×	171 1.3×	59 0.8×	49	659
Chun‐Wen Su Taiwan	13	316 0.7×	168 0.5×	51 0.4×	101 0.8×	40 0.6×	24	486
Baoen Shan China	18	626 1.3×	264 0.8×	84 0.6×	188 1.4×	68 1.0×	44	851
Xiaolu Yu China	15	266 0.6×	92 0.3×	159 1.2×	192 1.5×	126 1.8×	29	643

Countries citing papers authored by Ji Sun

Since Specialization

Citations

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

Fields of papers citing papers by Ji Sun

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ji Sun

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

Gao, Weitong, et al.. (2023). Nomogram Model Based on Iodine Nutrition and Clinical Characteristics of Papillary Thyroid Carcinoma to Predict Lateral Lymph Node Metastasis. Cancer Control. 30. 2915611296–2915611296. 1 indexed citations

Zhang, Cong, Guohui Wang, Chunbin Duan, et al.. (2021). Prognostic Value of Platelet Distribution Width and Mean Platelet Volume in Patients with Laryngeal Cancer. Future Oncology. 17(9). 1025–1037. 5 indexed citations

Wang, Xueying, Kui Cao, Xionghui Mao, et al.. (2021). Identification of Immune-Related LncRNA Pairs for Predicting Prognosis and Immunotherapeutic Response in Head and Neck Squamous Cell Carcinoma. Frontiers in Immunology. 12. 658631–658631. 10 indexed citations

Fan, Lijun, Xiu Cheng, Zhennan Yuan, et al.. (2021). High Iodine Nutrition May Be a Risk Factor for Cervical Lymph Node Metastasis in Papillary Thyroid Cancer Patients. Annals of Nutrition and Metabolism. 77(2). 90–99. 6 indexed citations

Sun, Ji, et al.. (2021). The prognostic value of USP7 and p53 in advanced hypopharyngeal carcinoma. Annals of Diagnostic Pathology. 51. 151695–151695. 6 indexed citations

Wang, Yuqin, Kui Cao, Xionghui Mao, et al.. (2021). Assessment of immune status of laryngeal squamous cell carcinoma can predict prognosis and guide treatment. Cancer Immunology Immunotherapy. 71(5). 1199–1220. 12 indexed citations

Guo, Junnan, Lianhao Song, Siyang Yu, et al.. (2020). Ultrasound Elastic Parameters Predict Central Lymph Node Metastasis of Papillary Thyroid Carcinoma. Journal of Surgical Research. 253. 69–78. 15 indexed citations

Tong, Fangjia, Xionghui Mao, Siwei Zhang, et al.. (2020). HPV + HNSCC-derived exosomal miR-9 induces macrophage M1 polarization and increases tumor radiosensitivity. Cancer Letters. 478. 34–44. 88 indexed citations

Meng, Hongxue, Xinxin Yang, Ruiqi Liu, et al.. (2020). <p>The Relationship Between Human Papillomavirus, OFD1 and Primary Ciliogenesis in the Progression of Oropharyngeal Cancer: A Retrospective Cohort Study</p>. Pharmacogenomics and Personalized Medicine. Volume 13. 633–644. 5 indexed citations

10.

Xiong, Yongfu, Gang Yang, Kang Wang, et al.. (2020). Genome-Wide Transcriptional Analysis Reveals Alternative Splicing Event Profiles in Hepatocellular Carcinoma and Their Prognostic Significance. Frontiers in Genetics. 11. 879–879. 14 indexed citations

11.

Mao, Xionghui, et al.. (2019). IL-6 induced M1 type macrophage polarization increases radiosensitivity in HPV positive head and neck cancer. Cancer Letters. 456. 69–79. 54 indexed citations

12.

Cao, Duo, Lin Liang, Yixin Xu, et al.. (2018). Tumor associated macrophages and angiogenesis dual-recognizable nanoparticles for enhanced cancer chemotherapy. Nanomedicine Nanotechnology Biology and Medicine. 14(3). 651–659. 10 indexed citations

13.

Meng, Hongxue, Susheng Miao, Kexin Chen, et al.. (2018). Association of p16 as Prognostic Factors for Oropharyngeal Cancer: Evaluation of p16 in 1470 Patients for a 16 Year Study in Northeast China. BioMed Research International. 2018. 1–8. 26 indexed citations

14.

Sun, Ji, et al.. (2017). Numb had anti-tumor effects in prostatic cancer. Biomedicine & Pharmacotherapy. 92. 108–115. 10 indexed citations

15.

Miao, Susheng, Xionghui Mao, Shu Zhao, et al.. (2017). miR-217 inhibits laryngeal cancer metastasis by repressing AEG-1 and PD-L1 expression. Oncotarget. 8(37). 62143–62153. 44 indexed citations

16.

Li, Wěi, et al.. (2014). microRNA-34a/c function as tumor suppressors in Hep-2 laryngeal carcinoma cells and may reduce GALNT7 expression. Molecular Medicine Reports. 9(4). 1293–1298. 54 indexed citations

17.

Miao, Susheng, Xionghui Mao, Rong Pei, et al.. (2013). Lepista sordida polysaccharide induces apoptosis of Hep-2 cancer cells via mitochondrial pathway. International Journal of Biological Macromolecules. 61. 97–101. 31 indexed citations

18.

Mao, Xionghui, Susheng Miao, Rong Pei, et al.. (2013). Krüppel-like factor 5: a novel biomarker for lymph node metastasis and recurrence in supraglottic squamous cell laryngeal carcinoma. Tumor Biology. 35(1). 623–629. 5 indexed citations

19.

Miao, Susheng, Xionghui Mao, Rong Pei, et al.. (2013). Antitumor activity of polysaccharides from Lepista sordida against laryngocarcinoma in vitro and in vivo. International Journal of Biological Macromolecules. 60. 235–240. 86 indexed citations

20.

Gu, Hua, et al.. (2008). Modulation of muscle rNa_v1.4 Na⁺ channel isoform by arachidonic acid and its non‐metabolized analog. Journal of Cellular Physiology. 219(1). 173–182. 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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