Junli Ding

987 total citations
36 papers, 752 citations indexed

About

Junli Ding is a scholar working on Molecular Biology, Oncology and Immunology. According to data from OpenAlex, Junli Ding has authored 36 papers receiving a total of 752 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 14 papers in Oncology and 10 papers in Immunology. Recurrent topics in Junli Ding's work include Cancer Immunotherapy and Biomarkers (7 papers), Immune cells in cancer (6 papers) and Pancreatic and Hepatic Oncology Research (5 papers). Junli Ding is often cited by papers focused on Cancer Immunotherapy and Biomarkers (7 papers), Immune cells in cancer (6 papers) and Pancreatic and Hepatic Oncology Research (5 papers). Junli Ding collaborates with scholars based in China, Sweden and United States. Junli Ding's co-authors include Chaoying Liu, Tingyan Ruan, Wei Huang, Xiaoyan Shi, Ping Xie, Fangmei An, Jie Mei, Min He, Junyi Wang and Qiang Zhan and has published in prestigious journals such as SHILAP Revista de lepidopterología, Frontiers in Immunology and Advanced Science.

In The Last Decade

Junli Ding

32 papers receiving 742 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Junli Ding China 12 354 330 278 211 71 36 752
Karin Zins Austria 13 399 1.1× 295 0.9× 289 1.0× 125 0.6× 54 0.8× 22 806
Peidong Liu China 15 275 0.8× 179 0.5× 135 0.5× 166 0.8× 41 0.6× 37 685
Zicheng Yu China 13 174 0.5× 147 0.4× 310 1.1× 115 0.5× 53 0.7× 28 611
Katharina Schlereth Germany 8 474 1.3× 118 0.4× 290 1.0× 153 0.7× 35 0.5× 14 757
Ya Yuan China 8 307 0.9× 406 1.2× 285 1.0× 146 0.7× 44 0.6× 16 822
Imran S. Khan United States 12 315 0.9× 399 1.2× 171 0.6× 72 0.3× 79 1.1× 16 868
Guanning Shang China 12 385 1.1× 178 0.5× 128 0.5× 167 0.8× 22 0.3× 26 610
Zhangting Yao China 9 358 1.0× 399 1.2× 245 0.9× 89 0.4× 42 0.6× 11 809
Paola Portararo Italy 15 366 1.0× 357 1.1× 243 0.9× 78 0.4× 41 0.6× 23 947
Joseph D. DiDomenico United States 13 168 0.5× 180 0.5× 166 0.6× 59 0.3× 76 1.1× 34 566

Countries citing papers authored by Junli Ding

Since Specialization
Citations

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

Fields of papers citing papers by Junli Ding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Junli Ding

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

All Works

20 of 20 papers shown
1.
Wu, Xi, Cenzhu Wang, Hong Fan, et al.. (2025). Tumor‑associated neutrophils: Critical regulators in cancer progression and therapeutic resistance (Review). International Journal of Oncology. 66(4). 1–16. 4 indexed citations
2.
Wang, Weijing, Huiyao Li, Shuai Liang, et al.. (2025). Bridging the gap: ferroptosis of immune cells in the tumor microenvironment. Frontiers in Immunology. 16. 1648432–1648432. 2 indexed citations
4.
Zhou, Xu, et al.. (2025). Artificial intelligence enabled tumor diagnosis and treatment: Status, breakthroughs and challenges. Critical Reviews in Oncology/Hematology. 216. 104963–104963.
5.
Zhou, Ji, Jie Mei, Junli Ding, et al.. (2024). Lovastatin-mediated pharmacological inhibition of Formin protein DIAPH1 suppresses tumor immune escape and boosts immunotherapy response. International Immunopharmacology. 144. 113637–113637.
6.
Wang, Weijing, et al.. (2024). From darkness to light: Targeting CAFs as a new potential strategy for cancer treatment. International Immunopharmacology. 143(Pt 2). 113482–113482. 8 indexed citations
7.
Mei, Jie, Jiahui Chu, Kai Yang, et al.. (2024). Angiotensin receptor blocker attacks armored and cold tumors and boosts immune checkpoint blockade. Journal for ImmunoTherapy of Cancer. 12(9). e009327–e009327. 11 indexed citations
8.
Mei, Jie, Rui Xu, Yun Cai, et al.. (2024). B7-H3 is associated with the armored-cold phenotype and predicts poor immune checkpoint blockade response in melanoma. Pathology - Research and Practice. 256. 155267–155267. 7 indexed citations
9.
Ding, Junli, Hao Wang, Yuting Li, et al.. (2023). Total T Cell Density and Expression of T Memory Stem Cell Markers are Associated with Better Prognosis in Colon Cancer. International Journal of General Medicine. Volume 16. 2285–2294. 2 indexed citations
10.
Li, Hongwu, Ping Liu, Dapeng Li, et al.. (2022). STAT3/miR-130b-3p/MBNL1 feedback loop regulated by mTORC1 signaling promotes angiogenesis and tumor growth. Journal of Experimental & Clinical Cancer Research. 41(1). 297–297. 21 indexed citations
11.
Wang, Huiyu, Jie Mei, Xuejing Yang, et al.. (2022). The Clinical Significance of Deglycosylated PD-L1 Level Detection Using 28-8 Monoclonal Antibody in Lung Adenocarcinoma. International Journal of General Medicine. Volume 15. 7383–7393.
12.
Li, Yuting, Honghong Fan, Junli Ding, et al.. (2022). Microfluidic devices: The application in TME modeling and the potential in immunotherapy optimization. Frontiers in Genetics. 13. 969723–969723. 11 indexed citations
13.
Lü, Jiahui, Jie Mei, Rui Xu, et al.. (2022). NEUROD1 predicts better prognosis in pancreatic cancer revealed by a TILs-based prognostic signature. Frontiers in Pharmacology. 13. 1025921–1025921. 1 indexed citations
14.
Ding, Junli, et al.. (2021). Research Progress of Immunoscore in Prediction of Tumor Prognosis and Efficacy to Treatment. SHILAP Revista de lepidopterología. 48(8). 809–813. 1 indexed citations
15.
Chen, Shuang, Junli Ding, Yun-Lin Wang, et al.. (2020). <p>RNA-Seq Profiling of Circular RNAs and the Oncogenic Role of circPVT1 in Cutaneous Squamous Cell Carcinoma</p>. OncoTargets and Therapy. Volume 13. 6777–6788. 12 indexed citations
16.
Yang, Xuejing, et al.. (2020). The emerging roles of circular RNAs in ovarian cancer. Cancer Cell International. 20(1). 265–265. 37 indexed citations
17.
Liu, Chaoying, Xiaoyan Shi, Wei Huang, et al.. (2013). M2-polarized tumor-associated macrophages promoted epithelial–mesenchymal transition in pancreatic cancer cells, partially through TLR4/IL-10 signaling pathway. Laboratory Investigation. 93(7). 844–854. 371 indexed citations
18.
Ding, Junli, et al.. (2012). Expression and Clinical Significance of M2 Tumor-associated Macrophage in Pancreatic Carcinoma. Zhongliu fangzhi yanjiu. 39(1). 59–61. 1 indexed citations
19.
Ding, Junli, Zong‐Guang Zhou, Xiangyu Zhou, et al.. (2012). Attenuation of Acute Pancreatitis by Peroxisome Proliferator-Activated Receptor-α in Rats. Pancreas. 42(1). 114–122. 18 indexed citations
20.
Ding, Junli, Yuan Li, Xiangyu Zhou, et al.. (2009). Potential role of the TLR4/IRAK-4 signaling pathway in the pathophysiology of acute pancreatitis in mice. Inflammation Research. 58(11). 783–790. 10 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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