Jiaming Gu

962 total citations
29 papers, 542 citations indexed

About

Jiaming Gu is a scholar working on Molecular Biology, Immunology and Surgery. According to data from OpenAlex, Jiaming Gu has authored 29 papers receiving a total of 542 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 6 papers in Immunology and 5 papers in Surgery. Recurrent topics in Jiaming Gu's work include RNA and protein synthesis mechanisms (3 papers), Advanced Chemical Sensor Technologies (3 papers) and RNA modifications and cancer (3 papers). Jiaming Gu is often cited by papers focused on RNA and protein synthesis mechanisms (3 papers), Advanced Chemical Sensor Technologies (3 papers) and RNA modifications and cancer (3 papers). Jiaming Gu collaborates with scholars based in China, Australia and Hong Kong. Jiaming Gu's co-authors include Xuesheng Jiang, Zhiwei Jie, Shunwu Fan, Jiying Wang, Yu Gu, Kangmao Huang, Ziang Xie, Pan Tang, Zhijun Hu and Quanwen Yin and has published in prestigious journals such as Journal of Agricultural and Food Chemistry, Food Chemistry and Free Radical Biology and Medicine.

In The Last Decade

Jiaming Gu

25 papers receiving 542 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jiaming Gu China 10 297 124 108 55 50 29 542
Ping Ren China 15 281 0.9× 84 0.7× 66 0.6× 50 0.9× 51 1.0× 40 780
Xun Zhou China 12 386 1.3× 101 0.8× 165 1.5× 27 0.5× 33 0.7× 30 677
Young‐Suk Cho South Korea 15 299 1.0× 160 1.3× 78 0.7× 68 1.2× 44 0.9× 41 822
Chunyan Li China 15 338 1.1× 132 1.1× 55 0.5× 20 0.4× 26 0.5× 48 648
Meili Xu China 13 219 0.7× 108 0.9× 39 0.4× 40 0.7× 26 0.5× 37 507
Xuan Wei China 18 358 1.2× 228 1.8× 29 0.3× 23 0.4× 26 0.5× 51 726
Qingjian Wu China 14 241 0.8× 151 1.2× 22 0.2× 93 1.7× 24 0.5× 39 664
Jiao Fan China 15 305 1.0× 147 1.2× 35 0.3× 19 0.3× 46 0.9× 40 638
Wenjing Yang China 14 425 1.4× 162 1.3× 56 0.5× 32 0.6× 22 0.4× 54 890

Countries citing papers authored by Jiaming Gu

Since Specialization
Citations

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

Fields of papers citing papers by Jiaming Gu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jiaming Gu

This figure shows the co-authorship network connecting the top 25 collaborators of Jiaming Gu. A scholar is included among the top collaborators of Jiaming 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 Jiaming Gu. Jiaming 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.
Cui, Zhiyong, Tianxing Zhou, Jiaming Gu, et al.. (2025). TastePeptides-Meta: A One-Stop Platform for Taste Peptides and Their Structural Derivatives, Including Taste Properties, Interactions, and Prediction Models. Journal of Agricultural and Food Chemistry. 73(16). 9817–9826. 4 indexed citations
2.
Zhang, Hanyue, Yuhang Zhou, Zhishuai Zhang, et al.. (2025). METTL13 is essential for the survival of acute myeloid leukemia cells by regulating MYC. Cell Death Discovery. 11(1). 240–240. 1 indexed citations
3.
Hu, Xing, Baoqiang Kang, Mingquan Wang, et al.. (2025). Human induced pluripotent stem cells derived neutrophils display strong anti-microbial potencies. Cell Regeneration. 14(1). 8–8.
4.
Cui, Zhiyong, Yueming Wang, Tianxing Zhou, et al.. (2025). Umami_IP: An integrated model and explanatory analysis for quantitative prediction of Umami recognition threshold. Food Chemistry. 491. 145288–145288.
5.
Lam, Y. H., Jiaming Gu, & Peihao Yin. (2025). Cellular senescence in cancer: Unveiling dual roles, tumor microenvironment dynamics and therapeutic innovations (Review). Oncology Letters. 30(6). 1–16. 1 indexed citations
6.
Zhu, Yanling, Tianyu Wang, Jun Tang, et al.. (2024). Characterization of gene regulatory networks underlying key properties in human hematopoietic stem cell ontogeny. Cell Regeneration. 13(1). 9–9. 3 indexed citations
7.
Li, Xuzhen, et al.. (2024). Whole transcriptome scanning and validation of negatively related genes in UC-MSCs. Heliyon. 10(6). e27996–e27996. 1 indexed citations
8.
Dong, Mengdie, Yunjia Zhang, Minghong Chen, et al.. (2024). ASF1A-dependent P300-mediated histone H3 lysine 18 lactylation promotes atherosclerosis by regulating EndMT. Acta Pharmaceutica Sinica B. 14(7). 3027–3048. 45 indexed citations
9.
Cui, Zhiyong, Tianxing Zhou, Chong Qi, et al.. (2024). Cyclization: A potential effective modification strategy for umami peptides. Food Chemistry. 469. 142457–142457. 7 indexed citations
10.
Li, Dalong, Xue Ao, Jiaming Gu, et al.. (2024). Calycosin-7-O-β-D-Glucoside Ameliorates Palmitate-Induced Lipid Accumulation in HT22 Cells. Actas Españolas de Psiquiatría. 52(5). 641–652. 1 indexed citations
11.
Li, Xuesong, Xiang Chen, Longbin Zheng, et al.. (2023). Non-canonical STING–PERK pathway dependent epigenetic regulation of vascular endothelial dysfunction via integrating IRF3 and NF-κB in inflammatory response. Acta Pharmaceutica Sinica B. 13(12). 4765–4784. 31 indexed citations
12.
Gu, Jiaming, Hui Xue, Jing Jiang, et al.. (2023). [Serum metabolomics study of Psoraleae Fructus in improving learning and memory ability of APP/PS1 mice].. PubMed. 48(15). 4039–4045.
13.
Gu, Jiaming, Jiajing Chen, Quanwen Yin, et al.. (2023). lncRNA JPX-Enriched Chromatin Microenvironment Mediates Vascular Smooth Muscle Cell Senescence and Promotes Atherosclerosis. Arteriosclerosis Thrombosis and Vascular Biology. 44(1). 156–176. 17 indexed citations
14.
Long, Bing, Yongli Shan, Yanling Sun, et al.. (2022). Vitamin C promotes anti-leukemia of DZNep in acute myeloid leukemia. Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease. 1868(5). 166357–166357. 9 indexed citations
15.
Zhang, Ling, Jieying Wu, Zhigang Fang, et al.. (2021). A Regulatory Loop Involving Notch and Wnt Signaling Maintains Leukemia Stem Cells in T-Cell Acute Lymphoblastic Leukemia. Frontiers in Cell and Developmental Biology. 9. 678544–678544. 5 indexed citations
16.
Li, Xuesong, Ruigong Zhu, Hong Jiang, et al.. (2021). Autophagy enhanced by curcumin ameliorates inflammation in atherogenesis via the TFEB–P300–BRD4 axis. Acta Pharmaceutica Sinica B. 12(5). 2280–2299. 85 indexed citations
17.
Zhang, Ling, Jieying Wu, Zhigang Fang, et al.. (2019). CircRNA circ_0000190 inhibits the progression of multiple myeloma through modulating miR-767-5p/MAPK4 pathway. Journal of Experimental & Clinical Cancer Research. 38(1). 54–54. 96 indexed citations
18.
Tang, Pan, Jiaming Gu, Ziang Xie, et al.. (2018). Honokiol alleviates the degeneration of intervertebral disc via suppressing the activation of TXNIP-NLRP3 inflammasome signal pathway. Free Radical Biology and Medicine. 120. 368–379. 119 indexed citations
19.
20.
Liu, Zuoxi, Yongyang Wang, Shanshan Wang, et al.. (2018). An Emergy and Decomposition Assessment of China’s Crop Production: Sustainability and Driving Forces. Sustainability. 10(11). 3938–3938. 5 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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