Jing Ai

5.0k total citations · 1 hit paper
157 papers, 3.7k citations indexed

About

Jing Ai is a scholar working on Molecular Biology, Cancer Research and Neurology. According to data from OpenAlex, Jing Ai has authored 157 papers receiving a total of 3.7k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Molecular Biology, 25 papers in Cancer Research and 20 papers in Neurology. Recurrent topics in Jing Ai's work include MicroRNA in disease regulation (22 papers), Neurological Disease Mechanisms and Treatments (16 papers) and Heart Rate Variability and Autonomic Control (13 papers). Jing Ai is often cited by papers focused on MicroRNA in disease regulation (22 papers), Neurological Disease Mechanisms and Treatments (16 papers) and Heart Rate Variability and Autonomic Control (13 papers). Jing Ai collaborates with scholars based in China, United States and Japan. Jing Ai's co-authors include Baofeng Yang, Rong Zhang, Lihua Sun, Ling Xu, Yanjie Lu, Kang Li, Yue Li, Shiguang Zhao, Zhongyu Li and Jundong Jiao and has published in prestigious journals such as Angewandte Chemie International Edition, Nature Communications and Journal of Clinical Oncology.

In The Last Decade

Jing Ai

139 papers receiving 3.7k citations

Hit Papers

Chiral gold nanoparticles enantioselectively rescue memor... 2020 2026 2022 2024 2020 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jing Ai China 34 1.8k 1.2k 473 364 355 157 3.7k
Zhiping Liu China 35 1.8k 1.0× 338 0.3× 346 0.7× 241 0.7× 336 0.9× 158 4.0k
Sébastien Roger France 42 2.3k 1.3× 416 0.3× 289 0.6× 161 0.4× 302 0.9× 91 4.2k
Jian Hu United States 35 2.6k 1.5× 962 0.8× 659 1.4× 214 0.6× 131 0.4× 104 4.3k
Brian P. Dranka United States 22 1.8k 1.0× 686 0.6× 818 1.7× 117 0.3× 120 0.3× 31 3.2k
Nicole Noren Hooten United States 33 3.4k 1.9× 1.0k 0.8× 646 1.4× 157 0.4× 215 0.6× 92 5.1k
Sandra Donnini Italy 37 2.1k 1.1× 764 0.6× 847 1.8× 170 0.5× 304 0.9× 113 4.3k
Qianxue Chen China 35 2.0k 1.1× 1.1k 0.9× 166 0.4× 457 1.3× 72 0.2× 237 4.5k
Xiaohui Wang China 29 1.5k 0.8× 956 0.8× 162 0.3× 145 0.4× 121 0.3× 133 3.0k
Shujun Liu United States 27 3.7k 2.1× 1.1k 0.9× 530 1.1× 257 0.7× 118 0.3× 79 5.0k

Countries citing papers authored by Jing Ai

Since Specialization
Citations

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

Fields of papers citing papers by Jing Ai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jing Ai

This figure shows the co-authorship network connecting the top 25 collaborators of Jing Ai. A scholar is included among the top collaborators of Jing Ai 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 Ai. Jing Ai 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.
Sun, Liyang, Qin Wang, & Jing Ai. (2024). The underlying roles and neurobiological mechanisms of music-based intervention in Alzheimer's disease: A comprehensive review. Ageing Research Reviews. 96. 102265–102265. 7 indexed citations
2.
Zhang, Siyu, et al.. (2024). Functional characterization of VrNAC15 for drought resistance in mung beans. Gene. 926. 148621–148621. 1 indexed citations
3.
Huang, Yusen, et al.. (2024). Scientific issues with rodent models of neuromyelitis optic spectrum disorders. Frontiers in Immunology. 15. 1423107–1423107.
5.
Ai, Jing, Xiaowen Zhao, Xin Cao, et al.. (2024). Impact of Lithium Sources on Growth Process and Structural Stability of Single‐Crystalline Li‐Rich Layered Cathodes. Batteries & Supercaps. 8(2).
6.
Boselli, Danielle, Issam S. Hamadeh, Nikolai A. Podoltsev, et al.. (2024). Hematocrit control and thrombotic risk in patients with polycythemia vera treated with ruxolitinib in clinical practice. Annals of Hematology. 103(8). 2837–2843.
7.
Qu, Yang, Yan Wu, Wei Cheng, et al.. (2023). Amelioration of cognitive impairment using epigallocatechin-3-gallate in ovariectomized mice fed a high-fat diet involves remodeling with Prevotella and Bifidobacteriales. Frontiers in Pharmacology. 13. 1079313–1079313. 12 indexed citations
8.
Wang, Qin, Guozheng Li, Xin Ma, et al.. (2023). LncRNA TINCR impairs the efficacy of immunotherapy against breast cancer by recruiting DNMT1 and downregulating MiR-199a-5p via the STAT1–TINCR-USP20-PD-L1 axis. Cell Death and Disease. 14(2). 76–76. 44 indexed citations
9.
Liu, Guoqing, Yan Yang, Xuejia Kang, et al.. (2023). A pan-cancer analysis of lipid metabolic alterations in primary and metastatic cancers. Scientific Reports. 13(1). 13810–13810. 6 indexed citations
10.
Knight, Thomas G., Danielle Boselli, Jing Ai, et al.. (2023). Enhanced Support Services Including Nurse Navigation Mitigate Socioeconomic Disparities in the Treatment of Patients with Acute Lymphoblastic Leukemia. Blood. 142(Supplement 1). 5078–5078. 1 indexed citations
11.
Knight, Thomas G., Myra Robinson, Jing Ai, et al.. (2022). Financial Toxicity Intervention Improves Outcomes in Patients With Hematologic Malignancy. JCO Oncology Practice. 18(9). e1494–e1504. 43 indexed citations
12.
Zhang, Shuai, Siyu Huang, Lu Zeng, et al.. (2021). AhR/miR-23a-3p/PKCα axis contributes to memory deficits in ovariectomized and normal aging female mice. Molecular Therapy — Nucleic Acids. 24. 79–91. 17 indexed citations
13.
Xu, Haiwei, Xichen Zheng, Yuhui Huang, et al.. (2019). Immune-related adverse events following administration of anti-cytotoxic T-lymphocyte-associated protein-4 drugs: a comprehensive systematic review and meta-analysis. SHILAP Revista de lepidopterología. 1 indexed citations
14.
Zhou, Guan‐Hui, Junhui Sun, Chun‐Hui Nie, et al.. (2019). Transcatheter embolization of hepatocellular carcinoma with epirubicin-loaded DC beads in Chinese patients. Translational Cancer Research. 8(1). 279–289. 1 indexed citations
15.
Knight, Thomas G., Myra Robinson, Michael R. Grunwald, et al.. (2018). Patient Reported Financial Toxicity in Acute Leukemia. Blood. 132(Supplement 1). 4796–4796. 9 indexed citations
16.
Grunwald, Michael R., Danielle Boselli, Lauren Bohannon, et al.. (2017). Frontline Azacitidine As a Bridge to Allogeneic Transplantation in Acute Myeloid Leukemia. Blood. 130. 3864–3864. 2 indexed citations
17.
Yang, Guang, Dayong Han, Xin Chen, et al.. (2014). MiR-196a exerts its oncogenic effect in glioblastoma multiforme by inhibition of IκBα both in vitro and in vivo. Neuro-Oncology. 16(5). 652–661. 50 indexed citations
18.
Ai, Jing, Valeria Visconte, Ali Tabarroki, et al.. (2014). Impact of Non-JAK2 Molecular Mutations and Cryptic SNP Lesions in Myelofibrosis Patients Treated with Ruxolitinib. Blood. 124(21). 3194–3194.
19.
Zhang, Rong, Huifang Niu, Ning Wang, et al.. (2012). Daming capsule restores endothelial dysfunction induced by high-fat diet. BMC Complementary and Alternative Medicine. 12(1). 21–21. 14 indexed citations
20.
Ai, Jing, et al.. (2010). Protective effects of diets enriched with fish oil and grape seed extract on acetic acid induced colitis in rat.. SHILAP Revista de lepidopterología. 12(1). 1–8. 1 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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