Di Jing

1.4k total citations
35 papers, 780 citations indexed

About

Di Jing is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Cancer Research. According to data from OpenAlex, Di Jing has authored 35 papers receiving a total of 780 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 12 papers in Pulmonary and Respiratory Medicine and 9 papers in Cancer Research. Recurrent topics in Di Jing's work include Lung Cancer Treatments and Mutations (9 papers), Cancer Genomics and Diagnostics (7 papers) and Nanoparticle-Based Drug Delivery (5 papers). Di Jing is often cited by papers focused on Lung Cancer Treatments and Mutations (9 papers), Cancer Genomics and Diagnostics (7 papers) and Nanoparticle-Based Drug Delivery (5 papers). Di Jing collaborates with scholars based in China, United States and India. Di Jing's co-authors include Yuanpei Li, Lu Zhang, Jian Jian Li, Kit S. Lam, Lei Wang, Wenwu Xiao, Nian Jiang, Yi Wu, Dalin Zhang and Tatu Rojalin and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Nano Letters.

In The Last Decade

Di Jing

32 papers receiving 774 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Di Jing China 14 332 319 270 149 113 35 780
Qiaoya Lin China 11 286 0.9× 369 1.2× 215 0.8× 109 0.7× 142 1.3× 23 694
Seungho Lim South Korea 14 444 1.3× 392 1.2× 273 1.0× 91 0.6× 92 0.8× 18 863
Wenshe Sun China 12 413 1.2× 235 0.7× 138 0.5× 175 1.2× 86 0.8× 21 689
Hsin‐Ell Wang Taiwan 16 266 0.8× 336 1.1× 264 1.0× 105 0.7× 87 0.8× 37 940
Weimin Yin China 16 499 1.5× 357 1.1× 260 1.0× 136 0.9× 124 1.1× 33 1.0k
Jiwoong Choi South Korea 14 497 1.5× 281 0.9× 259 1.0× 112 0.8× 73 0.6× 24 844
Saleh Ramezani United States 12 209 0.6× 288 0.9× 120 0.4× 76 0.5× 122 1.1× 17 687
Nobutaka Iwakuma Japan 16 382 1.2× 171 0.5× 178 0.7× 74 0.5× 92 0.8× 42 872
Ilya Yakavets France 18 487 1.5× 221 0.7× 170 0.6× 223 1.5× 63 0.6× 35 782

Countries citing papers authored by Di Jing

Since Specialization
Citations

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

Fields of papers citing papers by Di Jing

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Di Jing

This figure shows the co-authorship network connecting the top 25 collaborators of Di Jing. A scholar is included among the top collaborators of Di Jing 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 Di Jing. Di Jing 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.
Yang, Cong, Yawen Wu, Di Jing, et al.. (2025). Molecular Epidemiology of Brucella spp. in Aborted Livestock in the Ningxia Hui Autonomous Region, China. Veterinary Sciences. 12(8). 702–702.
2.
Liu, Renyu, Wei Wang, Chengcheng Zhang, et al.. (2025). Z-scheme TiO2@CeO2 nanozyme/sonodynamic combination therapy for breast cancer by immunomodulation of tumor microenvironment. Chemical Engineering Journal. 522. 168013–168013.
3.
Chen, Yu, et al.. (2024). Classification and prediction of chemoradiotherapy response and survival from esophageal carcinoma histopathology images. Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy. 312. 124030–124030. 5 indexed citations
4.
Jing, Di, Thèrése Bocklage, Marilyn M. Bui, et al.. (2024). Utility of artificial intelligence in a binary classification of soft tissue tumors. Journal of Pathology Informatics. 15. 100368–100368. 5 indexed citations
5.
6.
Wang, Yifei, Lei He, Jun Du, et al.. (2024). Preservation of cfRNA in cytological supernatants for cfDNA & cfRNA double detection in non‐small cell lung cancer patients. Cancer Medicine. 13(17). e70197–e70197. 2 indexed citations
7.
Shi, Liting, Lin Shen, Junming Jian, et al.. (2023). Contribution of whole slide imaging‐based deep learning in the assessment of intraoperative and postoperative sections in neuropathology. Brain Pathology. 33(4). e13160–e13160. 7 indexed citations
8.
Zhang, Kun, et al.. (2023). Using deep learning to predict survival outcome in non-surgical cervical cancer patients based on pathological images. Journal of Cancer Research and Clinical Oncology. 149(9). 6075–6083. 14 indexed citations
9.
Yang, Jiyan, et al.. (2023). Predicting the recurrence and overall survival of patients with glioma based on histopathological images using deep learning. Frontiers in Neurology. 14. 1100933–1100933. 14 indexed citations
10.
Jing, Di, Nian Jiang, Fengyi Wang, et al.. (2022). Nanoradiosensitizer with good tissue penetration and enhances oral cancer radiotherapeutic effect. Biomaterials. 289. 121769–121769. 8 indexed citations
11.
Angelis, Rossella De, Di Jing, Gianluca Smerilli, et al.. (2020). Association of Silicone Breast Implants, Breast Cancer and Anti-RNA Polymerase III Autoantibodies in Systemic Sclerosis: Case-Based Review. SHILAP Revista de lepidopterología. 2 indexed citations
12.
Zheng, Wang, Lin Zhang, Li Lin, et al.. (2020). Sputum Cell-Free DNA. Journal of Molecular Diagnostics. 22(7). 934–942. 20 indexed citations
13.
Zhang, Lu, Di Jing, Nian Jiang, et al.. (2020). Transformable peptide nanoparticles arrest HER2 signalling and cause cancer cell death in vivo. Nature Nanotechnology. 15(2). 145–153. 216 indexed citations
14.
Xie, Bowen, Lu Zhang, Wenfeng Hu, et al.. (2019). Dual blockage of STAT3 and ERK1/2 eliminates radioresistant GBM cells. Redox Biology. 24. 101189–101189. 31 indexed citations
15.
Xu, Xiaobao, Gaomai Yang, Xiangdong Xue, et al.. (2018). A polymer-free, biomimicry drug self-delivery system fabricatedviaa synergistic combination of bottom-up and top-down approaches. Journal of Materials Chemistry B. 6(47). 7842–7853. 14 indexed citations
16.
Zhang, Lu, Di Jing, Lei Wang, et al.. (2018). Unique Photochemo-Immuno-Nanoplatform against Orthotopic Xenograft Oral Cancer and Metastatic Syngeneic Breast Cancer. Nano Letters. 18(11). 7092–7103. 59 indexed citations
17.
Xue, Xiangdong, Yee Huang, Ruonan Bo, et al.. (2018). Trojan Horse nanotheranostics with dual transformability and multifunctionality for highly effective cancer treatment. Nature Communications. 9(1). 3653–3653. 171 indexed citations
18.
Hong, Jingyi, Di Jing, Yifei Guo, et al.. (2017). 10-Hydroxycamptothecin (HCPT) nanosuspensions stabilized by mPEG<sub>1000</sub>-HCPT conjugate: high stabilizing efficiency and improved antitumor efficacy. International Journal of Nanomedicine. Volume 12. 3681–3695. 31 indexed citations
19.
Wang, Zheng, Yuankai Shi, Xiaohong Han, et al.. (2014). [A standard protocol for detection of EGFR mutations in cytologic specimens].. PubMed. 36(7). 516–21. 3 indexed citations
20.
Zhong, Linlin, Jun Fan, Di Jing, et al.. (2010). MCP-1, ICAM-1 and VCAM-1 are present in early aneurysmal dilatation in experimental rats.. SHILAP Revista de lepidopterología. 2 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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