Jianying Gu

1.3k total citations
47 papers, 923 citations indexed

About

Jianying Gu is a scholar working on Molecular Biology, Oncology and Surgery. According to data from OpenAlex, Jianying Gu has authored 47 papers receiving a total of 923 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 13 papers in Oncology and 9 papers in Surgery. Recurrent topics in Jianying Gu's work include Medical Imaging Techniques and Applications (6 papers), MicroRNA in disease regulation (4 papers) and Ubiquitin and proteasome pathways (4 papers). Jianying Gu is often cited by papers focused on Medical Imaging Techniques and Applications (6 papers), MicroRNA in disease regulation (4 papers) and Ubiquitin and proteasome pathways (4 papers). Jianying Gu collaborates with scholars based in China, Hong Kong and Spain. Jianying Gu's co-authors include Fazhi Qi, Yanwen Yang, Zihao Feng, Chuanyuan Wei, Guobing Liu, Haojun Yu, Hongcheng Shi, Meng-Xuan Zhu, Hui Tan and Nanhang Lu and has published in prestigious journals such as Cancer Research, Biochemical and Biophysical Research Communications and Frontiers in Immunology.

In The Last Decade

Jianying Gu

44 papers receiving 912 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jianying Gu China 18 427 246 184 183 116 47 923
Payel Bhanja United States 12 339 0.8× 202 0.8× 296 1.6× 140 0.8× 96 0.8× 25 782
Pamela M.J. McLaughlin Netherlands 14 456 1.1× 348 1.4× 97 0.5× 116 0.6× 212 1.8× 22 893
Marco Gerling Sweden 13 319 0.7× 262 1.1× 61 0.3× 121 0.7× 166 1.4× 23 778
Kirsi Hämäläinen Finland 17 468 1.1× 294 1.2× 130 0.7× 123 0.7× 211 1.8× 32 1.0k
Jennifer Sims‐Mourtada United States 16 515 1.2× 529 2.2× 126 0.7× 153 0.8× 113 1.0× 34 1.0k
David Y. Chin Australia 14 473 1.1× 250 1.0× 146 0.8× 140 0.8× 98 0.8× 26 866
Zane Kalniņa Latvia 16 570 1.3× 151 0.6× 98 0.5× 211 1.2× 157 1.4× 26 829
Claudia Meier Germany 17 396 0.9× 227 0.9× 172 0.9× 162 0.9× 48 0.4× 45 857
Kai Ding China 19 641 1.5× 222 0.9× 63 0.3× 312 1.7× 242 2.1× 72 1.2k
Carl Power Australia 18 296 0.7× 227 0.9× 106 0.6× 90 0.5× 222 1.9× 33 805

Countries citing papers authored by Jianying Gu

Since Specialization
Citations

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

Fields of papers citing papers by Jianying Gu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jianying Gu

This figure shows the co-authorship network connecting the top 25 collaborators of Jianying Gu. A scholar is included among the top collaborators of Jianying Gu 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 Jianying Gu. Jianying Gu 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.
Gao, Yuan, Lili Lu, Zhi Pang, et al.. (2025). CD103+CD8+ tissue‐resident memory T lymphocytes of melanoma boost anti‐tumour immunity and predict immunotherapy outcomes. Clinical and Translational Medicine. 15(9). e70464–e70464.
2.
Gao, Zixu, Lu Wang, Zucheng Luo, et al.. (2024). TCTN1 Induces Fatty Acid Oxidation to Promote Melanoma Metastasis. Cancer Research. 85(1). 84–100. 6 indexed citations
3.
Yang, Yang, Jianrui Li, Chuanyuan Wei, et al.. (2024). Circular RNA circFCHO2(hsa_circ_0002490) promotes the proliferation of melanoma by directly binding to DND1. Cell Biology and Toxicology. 40(1). 9–9. 1 indexed citations
4.
Wang, Lu, Zixu Gao, Ming Ren, et al.. (2024). Melanoma Derived Exosomes Amplify Radiotherapy Induced Abscopal Effect via IRF7/I‐IFN Axis in Macrophages. Advanced Science. 11(13). e2304991–e2304991. 17 indexed citations
5.
Chen, Meiqing, Zhiwei Chen, Jianying Gu, et al.. (2024). EXPRESSION OF CONCERN: miRSNP rs188493331: A key player in genetic control of microRNA‐induced pathway activation in hypertrophic scars and keloids. Skin Research and Technology. 30(5). e13686–e13686.
6.
He, Anqi, Chenxi Chen, Jianying Gu, et al.. (2024). Predicting immunotherapy response in melanoma using a novel tumor immunological phenotype-related gene index. Frontiers in Immunology. 15. 1343425–1343425.
7.
Liu, Guobing, Wujian Mao, Haojun Yu, et al.. (2023). One-stop [18F]FDG and [68Ga]Ga-DOTA-FAPI-04 total-body PET/CT examination with dual-low activity: a feasibility study. European Journal of Nuclear Medicine and Molecular Imaging. 50(8). 2271–2281. 22 indexed citations
8.
Qin, Feng & Jianying Gu. (2023). Artificial intelligence in plastic surgery: current developments and future perspectives. Plastic and Aesthetic Research. 10(1). 3–3. 11 indexed citations
9.
Song, Wenyu, Hongye Wang, Lu Wang, et al.. (2023). Decoding the metastatic potential and optimal postoperative adjuvant therapy of melanoma based on metastasis score. Cell Death Discovery. 9(1). 397–397. 7 indexed citations
10.
11.
Wang, Lu, Meng-Xuan Zhu, Ming Ren, et al.. (2022). TRIP13/FLNA Complex Promotes Tumor Progression and Is Associated with Unfavorable Outcomes in Melanoma. Journal of Oncology. 2022. 1–14. 8 indexed citations
12.
Liu, Guobing, Pengcheng Hu, Haojun Yu, et al.. (2021). Ultra-low-activity total-body dynamic PET imaging allows equal performance to full-activity PET imaging for investigating kinetic metrics of 18F-FDG in healthy volunteers. European Journal of Nuclear Medicine and Molecular Imaging. 48(8). 2373–2383. 69 indexed citations
13.
Gu, Jianying, et al.. (2021). Tunneling route prediction of shield machine based on random forest P-wave generation. Applied Geophysics. 21(1). 69–79. 1 indexed citations
14.
Wei, Chuanyuan, Meng-Xuan Zhu, Nanhang Lu, et al.. (2020). Circular RNA circ_0020710 drives tumor progression and immune evasion by regulating the miR-370-3p/CXCL12 axis in melanoma. Molecular Cancer. 19(1). 84–84. 123 indexed citations
15.
Wei, Chuanyuan, Lu Wang, Meng-Xuan Zhu, et al.. (2019). TRIM44 activates the AKT/mTOR signal pathway to induce melanoma progression by stabilizing TLR4. Journal of Experimental & Clinical Cancer Research. 38(1). 137–137. 60 indexed citations
16.
Zhang, Yong, Lu Lu, Nanhang Lu, et al.. (2018). Perioperative Glucocorticoid Treatment of Soft Tissue Reconstruction in Patients on Long-term Steroid Therapy. Annals of Plastic Surgery. 81(3). 302–304. 1 indexed citations
17.
Gu, Jianying. (2010). Advances in the role of Rho sub-family in tumor invasion. 4 indexed citations
18.
Qi, Fazhi, et al.. (2009). Long-Term Follow-Up of the Treatment of Lower Limb Lymphedema with Liposuction. Plastic & Reconstructive Surgery. 123(2). 86e–87e. 3 indexed citations
19.
Ma, Jin, Xiaoping He, Wenxiang Wang, et al.. (2008). E2F Promoter-Regulated Oncolytic Adenovirus with p16 Gene Induces Cell Apoptosis and Exerts Antitumor Effect on Gastric Cancer. Digestive Diseases and Sciences. 54(7). 1425–1431. 17 indexed citations
20.
Qi, Fazhi, et al.. (2003). [Flap transplantation combined with liposuction to treat upper limb lymphedema after mastectomy].. PubMed. 19(6). 430–2. 3 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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