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

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

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20 of 20 papers shown

#	Title	Journal	Authors	Indexed citations
1	Molecular Epidemiology of Brucella spp. in Aborted Livestock in the Ningxia Hui Autonomous Region, China	Veterinary Sciences	Cong Yang, Yawen Wu et al.	0
2	Z-scheme TiO2@CeO2 nanozyme/sonodynamic combination therapy for breast cancer by immunomodulation of tumor microenvironment	Chemical Engineering Journal	Renyu Liu, Wei Wang et al.	0
3	Classification and prediction of chemoradiotherapy response and survival from esophageal carcinoma histopathology images	Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy	Yu Chen, Di Jing et al.	5
4	Utility of artificial intelligence in a binary classification of soft tissue tumors	Journal of Pathology Informatics	Di Jing, Thèrése Bocklage et al.	5
5	Transition From Epstein-Barr Virus (EBV)-Positive Rectal Hodgkin Lymphoma to Diffuse Large B-Cell Lymphoma in the Lung	Cureus	Di Jing et al.	0
6	Preservation of cfRNA in cytological supernatants for cfDNA & cfRNA double detection in non‐small cell lung cancer patients	Cancer Medicine	Yifei Wang, Lei He et al.	2
7	Contribution of whole slide imaging‐based deep learning in the assessment of intraoperative and postoperative sections in neuropathology	Brain Pathology	Liting Shi, Lin Shen et al.	7
8	Using deep learning to predict survival outcome in non-surgical cervical cancer patients based on pathological images	Journal of Cancer Research and Clinical Oncology	Kun Zhang, Caiyi Zhang et al.	14
9	Predicting the recurrence and overall survival of patients with glioma based on histopathological images using deep learning	Frontiers in Neurology	Jiyan Yang, Zhengzheng Liu et al.	14
10	Nanoradiosensitizer with good tissue penetration and enhances oral cancer radiotherapeutic effect	Biomaterials	Di Jing, Nian Jiang et al.	8
11	Association of Silicone Breast Implants, Breast Cancer and Anti-RNA Polymerase III Autoantibodies in Systemic Sclerosis: Case-Based Review	SHILAP Revista de lepidopterología	Rossella De Angelis, Di Jing et al.	2
12	Sputum Cell-Free DNA	Journal of Molecular Diagnostics	Wang Zheng, Lin Zhang et al.	20
13	Transformable peptide nanoparticles arrest HER2 signalling and cause cancer cell death in vivo	Nature Nanotechnology	Lu Zhang, Di Jing et al.	216
14	Dual blockage of STAT3 and ERK1/2 eliminates radioresistant GBM cells	Redox Biology	Bowen Xie, Lu Zhang et al.	31
15	A polymer-free, biomimicry drug self-delivery system fabricatedviaa synergistic combination of bottom-up and top-down approaches	Journal of Materials Chemistry B	Xiaobao Xu, Gaomai Yang et al.	14
16	Unique Photochemo-Immuno-Nanoplatform against Orthotopic Xenograft Oral Cancer and Metastatic Syngeneic Breast Cancer	Nano Letters	Lu Zhang, Di Jing et al.	59
17	Trojan Horse nanotheranostics with dual transformability and multifunctionality for highly effective cancer treatment	Nature Communications	Xiangdong Xue, Yee Huang et al.	171
18	10-Hydroxycamptothecin (HCPT) nanosuspensions stabilized by mPEG<sub>1000</sub>-HCPT conjugate: high stabilizing efficiency and improved antitumor efficacy	International Journal of Nanomedicine	Jingyi Hong, Di Jing et al.	31
19	[A standard protocol for detection of EGFR mutations in cytologic specimens].	PubMed	Zheng Wang, Yuankai Shi et al.	3
20	MCP-1, ICAM-1 and VCAM-1 are present in early aneurysmal dilatation in experimental rats.	SHILAP Revista de lepidopterología	Linlin Zhong, Jun Fan et al.	2

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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