Jing Gong

847 total citations
30 papers, 658 citations indexed

About

Jing Gong is a scholar working on Molecular Biology, Oncology and Obstetrics and Gynecology. According to data from OpenAlex, Jing Gong has authored 30 papers receiving a total of 658 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 7 papers in Oncology and 7 papers in Obstetrics and Gynecology. Recurrent topics in Jing Gong's work include Endometrial and Cervical Cancer Treatments (6 papers), Radiomics and Machine Learning in Medical Imaging (4 papers) and Immunotherapy and Immune Responses (3 papers). Jing Gong is often cited by papers focused on Endometrial and Cervical Cancer Treatments (6 papers), Radiomics and Machine Learning in Medical Imaging (4 papers) and Immunotherapy and Immune Responses (3 papers). Jing Gong collaborates with scholars based in China, United States and Saint Kitts and Nevis. Jing Gong's co-authors include Eric L. Bell, Petra Šimić, Leonard Guarente, Eric O. Williams, Michael S. Bonkowski, Changjing Zuo, Aisheng Dong, Yang Wang, Jianping Lu and Ling Xu and has published in prestigious journals such as Environmental Health Perspectives, Cell Reports and Medicine.

In The Last Decade

Jing Gong

28 papers receiving 649 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jing Gong China 14 222 186 122 118 103 30 658
Yoon Yang Jung South Korea 17 160 0.7× 199 1.1× 112 0.9× 99 0.8× 54 0.5× 44 641
Ione Tamagnini Italy 13 325 1.5× 269 1.4× 80 0.7× 139 1.2× 70 0.7× 24 720
Hyeok Shim South Korea 15 155 0.7× 147 0.8× 114 0.9× 92 0.8× 90 0.9× 37 619
Weijie Gu China 18 178 0.8× 269 1.4× 110 0.9× 95 0.8× 28 0.3× 52 705
Takamichi Igarashi Japan 16 355 1.6× 142 0.8× 203 1.7× 185 1.6× 17 0.2× 94 691
Yanli Yan China 8 179 0.8× 118 0.6× 117 1.0× 46 0.4× 37 0.4× 20 479
Takahito Kitajima Japan 18 321 1.4× 372 2.0× 174 1.4× 47 0.4× 71 0.7× 64 882
Nicholas B. Shannon Singapore 14 185 0.8× 258 1.4× 255 2.1× 53 0.4× 18 0.2× 41 677

Countries citing papers authored by Jing Gong

Since Specialization
Citations

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

Fields of papers citing papers by Jing Gong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jing Gong

This figure shows the co-authorship network connecting the top 25 collaborators of Jing Gong. A scholar is included among the top collaborators of Jing Gong 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 Gong. Jing Gong 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.
2.
Li, Qiao, Tingting Xu, Jing Gong, et al.. (2023). Applying multisequence MRI radiomics of the primary tumor and lymph node to predict HPV-related p16 status in patients with oropharyngeal squamous cell carcinoma. Quantitative Imaging in Medicine and Surgery. 13(4). 2234–2247. 9 indexed citations
3.
Gong, Jing, et al.. (2021). Relative clinical utility of simultaneous 18F-fluorodeoxyglucose PET/MRI and PET/CT for preoperative cervical cancer diagnosis. Journal of International Medical Research. 49(6). 3619080118–3619080118. 5 indexed citations
4.
Yu, Zhaojin, Wensi Liu, Mingli Sun, et al.. (2021). HLA-A2.1-restricted ECM1-derived epitope LA through DC cross-activation priming CD8+ T and NK cells: a novel therapeutic tumour vaccine. Journal of Hematology & Oncology. 14(1). 71–71. 21 indexed citations
5.
Wang, Tingting, Jing Gong, Caiting Chu, et al.. (2021). A combined radiomics and clinical variables model for prediction of malignancy in T2 hyperintense uterine mesenchymal tumors on MRI. European Radiology. 31(8). 6125–6135. 22 indexed citations
6.
Yu, Zhaojin, Wensi Liu, Mingli Sun, et al.. (2021). Correction to: HLA-A2.1-restricted ECM1-derived epitope LA through DC cross-activation priming CD8+ T and NK cells: a novel therapeutic tumour vaccine. Journal of Hematology & Oncology. 14(1). 158–158. 11 indexed citations
7.
Qu, Xiujuan, Xiaofang Che, Ce Li, et al.. (2020). PD-L1 Under Regulation of miR-429 Influences the Sensitivity of Gastric Cancer Cells to TRAIL by Binding of EGFR. Frontiers in Oncology. 10. 1067–1067. 19 indexed citations
8.
Wang, Min, Jing Gong, Honghong Liu, et al.. (2019). Comparison of integrated PET/MRI with PET/CT in evaluation of endometrial cancer: a retrospective analysis of 81 cases. PeerJ. 7. e7081–e7081. 30 indexed citations
9.
Xu, Ling, Xiujuan Qu, Xuejun Hu, et al.. (2018). β‐elemene increases the sensitivity of gastric cancer cells to TRAIL by promoting the formation of DISC in lipid rafts. Cell Biology International. 42(10). 1377–1385. 19 indexed citations
10.
Cheng, Yu, Yongxi Song, Jinglei Qu, et al.. (2018). The Chemokine Receptor CXCR4 and c-MET Cooperatively Promote Epithelial-Mesenchymal Transition in Gastric Cancer Cells. Translational Oncology. 11(2). 487–497. 41 indexed citations
11.
Cheng, Yu, Jinglei Qu, Xiaofang Che, et al.. (2017). CXCL12/SDF-1α induces migration via SRC-mediated CXCR4-EGFR cross-talk in gastric cancer cells. Oncology Letters. 14(2). 2103–2110. 25 indexed citations
12.
Gong, Jing, et al.. (2016). Primary Uterine Peripheral T-cell Lymphoma. Medicine. 95(17). e3532–e3532. 1 indexed citations
13.
Dong, Aisheng, Huojun Zhang, Yang Wang, et al.. (2014). Malignant Nonepithelial Prostate Tumors. Clinical Nuclear Medicine. 40(1). 14–20. 1 indexed citations
14.
Dong, Aisheng, Yang Wang, Hui Dong, et al.. (2013). Inflammatory Myofibroblastic Tumor. Clinical Nuclear Medicine. 39(2). 113–121. 49 indexed citations
15.
Dong, Aisheng, Tiejun Zhao, Jing Gong, & Changjing Zuo. (2013). Diffuse FDG Uptake of the Bilateral Atrial Walls in a Patient With Atrial Fibrillation. Clinical Nuclear Medicine. 39(2). 167–169. 11 indexed citations
16.
Dong, Aisheng, Yang Wang, Jing Gong, & Changjing Zuo. (2013). FDG PET/CT Findings of Common Bile Duct Tuberculosis. Clinical Nuclear Medicine. 39(1). 67–70. 7 indexed citations
17.
Šimić, Petra, Eric O. Williams, Eric L. Bell, et al.. (2013). SIRT1 Suppresses the Epithelial-to-Mesenchymal Transition in Cancer Metastasis and Organ Fibrosis. Cell Reports. 3(4). 1175–1186. 190 indexed citations
18.
Dong, Aisheng, Hui Dong, Yang Wang, et al.. (2012). MRI and FDG PET/CT Findings of Hepatic Epithelioid Hemangioendothelioma. Clinical Nuclear Medicine. 38(2). e66–e73. 45 indexed citations
19.
Gong, Jing. (2012). Short-term outcomes of laparoscopic total mesorectal excision compared to open surgery. World Journal of Gastroenterology. 18(48). 7308–7308. 44 indexed citations
20.
Laumbach, Robert, Howard M. Kipen, Kathie Kelly‐McNeil, et al.. (2011). Sickness Response Symptoms among Healthy Volunteers after Controlled Exposures to Diesel Exhaust and Psychological Stress. Environmental Health Perspectives. 119(7). 945–950. 14 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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