Jing-Jing Zhao

1.8k total citations
37 papers, 1.5k citations indexed

About

Jing-Jing Zhao is a scholar working on Oncology, Immunology and Molecular Biology. According to data from OpenAlex, Jing-Jing Zhao has authored 37 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Oncology, 24 papers in Immunology and 11 papers in Molecular Biology. Recurrent topics in Jing-Jing Zhao's work include Immune Cell Function and Interaction (17 papers), Cancer Immunotherapy and Biomarkers (15 papers) and Immunotherapy and Immune Responses (14 papers). Jing-Jing Zhao is often cited by papers focused on Immune Cell Function and Interaction (17 papers), Cancer Immunotherapy and Biomarkers (15 papers) and Immunotherapy and Immune Responses (14 papers). Jing-Jing Zhao collaborates with scholars based in China, United States and Hong Kong. Jing-Jing Zhao's co-authors include Jian‐Chuan Xia, De-Sheng Weng, Qiu-Zhong Pan, Qi-Jing Wang, Shan-Shan Jiang, Ke Pan, Xiaofei Zhang, Xiao Hai Li, Jia He and Chang-Long Chen and has published in prestigious journals such as PLoS ONE, Scientific Reports and Clinical Cancer Research.

In The Last Decade

Jing-Jing Zhao

37 papers receiving 1.5k citations

Peers

Jing-Jing Zhao
Jing-Jing Zhao
Citations per year, relative to Jing-Jing Zhao Jing-Jing Zhao (= 1×) peers De-Sheng Weng

Countries citing papers authored by Jing-Jing Zhao

Since Specialization
Citations

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

Fields of papers citing papers by Jing-Jing Zhao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jing-Jing Zhao

This figure shows the co-authorship network connecting the top 25 collaborators of Jing-Jing Zhao. A scholar is included among the top collaborators of Jing-Jing Zhao 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 Jing-Jing Zhao. Jing-Jing Zhao 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.
Zhao, Jing-Jing, et al.. (2025). Concept, Influencing Factors, and Interventions of Nursing Health Leadership: A Scoping Review. Journal of Nursing Management. 2025(1). 5212844–5212844. 2 indexed citations
2.
Pan, Qiu-Zhong, Qing Liu, Jing-Jing Zhao, et al.. (2020). CIK cell cytotoxicity is a predictive biomarker for CIK cell immunotherapy in postoperative patients with hepatocellular carcinoma. Cancer Immunology Immunotherapy. 69(5). 825–834. 15 indexed citations
3.
Zhou, Zi-Qi, Jing-Jing Zhao, Qiu-Zhong Pan, et al.. (2019). PD-L1 expression is a predictive biomarker for CIK cell-based immunotherapy in postoperative patients with breast cancer. Journal for ImmunoTherapy of Cancer. 7(1). 228–228. 27 indexed citations
4.
Zhao, Jing-Jing, Zi-Qi Zhou, Qiu-Zhong Pan, et al.. (2019). <p>IL-37 induces anti-tumor immunity by indirectly promoting dendritic cell recruitment and activation in hepatocellular carcinoma</p>. Cancer Management and Research. Volume 11. 6691–6702. 24 indexed citations
5.
Jiang, Long, De-Sheng Weng, Yuanfang Li, et al.. (2017). Immunization-based scores as independent prognostic predictors in soft tissue sarcoma patients. Journal of Cancer. 8(4). 606–616. 3 indexed citations
6.
Chen, Chang-Long, Qiu-Zhong Pan, Jing-Jing Zhao, et al.. (2016). PD-L1 expression as a predictive biomarker for cytokine-induced killer cell immunotherapy in patients with hepatocellular carcinoma. OncoImmunology. 5(7). e1176653–e1176653. 51 indexed citations
7.
Yan, Zheng, Wei Wang, Jing-Jing Zhao, et al.. (2015). High expression level of T-box transcription factor 5 predicts unfavorable survival in stage I and II gastric adenocarcinoma. Oncology Letters. 10(4). 2021–2026. 9 indexed citations
8.
Pan, Qiu-Zhong, Qi-Jing Wang, Ke Pan, et al.. (2015). A Nomogram for Predicting the Benefit of Adjuvant Cytokine-Induced Killer Cell Immunotherapy in Patients with Hepatocellular Carcinoma. Scientific Reports. 5(1). 9202–9202. 23 indexed citations
9.
Pan, Ke, Yong-Qiang Li, Jing-Jing Zhao, et al.. (2014). Clinical Activity of Adjuvant Cytokine-Induced Killer Cell Immunotherapy in Patients with Post-Mastectomy Triple-Negative Breast Cancer. Clinical Cancer Research. 20(11). 3003–3011. 77 indexed citations
10.
Zhao, Jing-Jing, Qiu-Zhong Pan, Ke Pan, et al.. (2014). Interleukin-37 Mediates the Antitumor Activity in Hepatocellular Carcinoma: Role for CD57+ NK Cells. Scientific Reports. 4(1). 5177–5177. 93 indexed citations
11.
Lü, Lin, Ke Pan, Haixia Zheng, et al.. (2013). IL-17A Promotes Immune Cell Recruitment in Human Esophageal Cancers and the Infiltrating Dendritic Cells Represent a Positive Prognostic Marker for Patient Survival. Journal of Immunotherapy. 36(8). 451–458. 77 indexed citations
12.
Wang, Peng, Cong Mai, Jing-Jing Zhao, et al.. (2013). Decreased expression of the mitochondrial metabolic enzyme aconitase (ACO2) is associated with poor prognosis in gastric cancer. Medical Oncology. 30(2). 552–552. 42 indexed citations
13.
Huang, Chun-yu, Jing-Jing Zhao, Lin Lv, et al.. (2013). Decreased Expression of AZGP1 Is Associated with Poor Prognosis in Primary Gastric Cancer. PLoS ONE. 8(7). e69155–e69155. 28 indexed citations
14.
Zhao, Jing-Jing, Chun-yu Huang, Qi-Jing Wang, et al.. (2013). Decreased Expression of the FOXO3a Gene Is Associated with Poor Prognosis in Primary Gastric Adenocarcinoma Patients. PLoS ONE. 8(10). e78158–e78158. 44 indexed citations
15.
Xia, Jian‐Chuan, Ke Pan, Wei Wang, et al.. (2011). Intratumoral Expression of IL-17 and Its Prognostic Role in Gastric Adenocarcinoma Patients. International Journal of Biological Sciences. 7(1). 53–60. 90 indexed citations
16.
Zhao, Jing-Jing, Ke Pan, Xiao Hai Li, et al.. (2011). Identification of LZAP as a New Candidate Tumor Suppressor in Hepatocellular Carcinoma. PLoS ONE. 6(10). e26608–e26608. 31 indexed citations
17.
Pan, Ke, Min-Shan Chen, Qi-Jing Wang, et al.. (2010). Dendritic cells-mediated CTLs targeting hepatocellular carcinoma stem cells. Cancer Biology & Therapy. 10(4). 368–375. 34 indexed citations
18.
Pan, Ke, Jing-Jing Zhao, Hui Wang, et al.. (2010). Comparative Analysis of Cytotoxic T Lymphocyte Response Induced by Dendritic Cells Loaded with Hepatocellular Carcinoma -Derived RNA or Cell Lysate. International Journal of Biological Sciences. 6(7). 639–648. 23 indexed citations
19.
Wang, Qi-Jing, Hui Wang, Ke Pan, et al.. (2010). Comparative study on anti-tumor immune response of autologous cytokine-induced killer (CIK) cells, dendritic cells-CIK (DC-CIK), and semi-allogeneic DC-CIK. Chinese Journal of Cancer. 29(7). 641–648. 31 indexed citations
20.
Zhao, Jing-Jing, et al.. (2009). Decreased expression of Neurensin-2 correlates with poor prognosis in hepatocellular carcinoma. World Journal of Gastroenterology. 15(38). 4844–4844. 18 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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