Ying Jia

5.5k total citations
204 papers, 4.4k citations indexed

About

Ying Jia is a scholar working on Molecular Biology, Complementary and alternative medicine and Pharmacology. According to data from OpenAlex, Ying Jia has authored 204 papers receiving a total of 4.4k indexed citations (citations by other indexed papers that have themselves been cited), including 87 papers in Molecular Biology, 40 papers in Complementary and alternative medicine and 34 papers in Pharmacology. Recurrent topics in Ying Jia's work include Tryptophan and brain disorders (33 papers), Alzheimer's disease research and treatments (26 papers) and Neuroinflammation and Neurodegeneration Mechanisms (21 papers). Ying Jia is often cited by papers focused on Tryptophan and brain disorders (33 papers), Alzheimer's disease research and treatments (26 papers) and Neuroinflammation and Neurodegeneration Mechanisms (21 papers). Ying Jia collaborates with scholars based in China, United States and United Kingdom. Ying Jia's co-authors include Kaishun Bi, Tingxu Yan, Bo Wu, Feng Xiao, Kaishun Bi, Mengjie Xu, Xu Zhao, Bosai He, Fanxing Xu and Qing Li and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Advanced Functional Materials.

In The Last Decade

Ying Jia

192 papers receiving 4.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ying Jia China 40 2.1k 808 604 603 568 204 4.4k
Siu‐Po Ip Hong Kong 42 1.6k 0.8× 566 0.7× 1.1k 1.8× 546 0.9× 716 1.3× 117 4.3k
Daniel Pens Gelain Brazil 41 2.0k 1.0× 710 0.9× 382 0.6× 797 1.3× 461 0.8× 185 5.7k
Omar Noel Medina‐Campos Mexico 41 1.6k 0.8× 1.2k 1.5× 493 0.8× 533 0.9× 329 0.6× 119 4.8k
Surya Pratap Singh India 37 1.7k 0.8× 1.0k 1.3× 249 0.4× 804 1.3× 880 1.5× 124 5.2k
Lijun Du China 37 1.8k 0.9× 875 1.1× 738 1.2× 335 0.6× 578 1.0× 168 4.9k
Xuemei Qin China 39 3.8k 1.8× 744 0.9× 1.2k 2.1× 719 1.2× 1.5k 2.6× 441 6.9k
Yongxiang Zhang China 34 1.5k 0.7× 714 0.9× 225 0.4× 604 1.0× 264 0.5× 184 3.9k
Tina Ting-Xia Dong Hong Kong 36 1.7k 0.8× 467 0.6× 520 0.9× 314 0.5× 899 1.6× 136 3.4k
Mohammad Moshahid Khan United States 39 1.7k 0.8× 410 0.5× 320 0.5× 997 1.7× 748 1.3× 92 4.7k
Marcos Roberto de Oliveira Brazil 38 2.1k 1.0× 427 0.5× 234 0.4× 739 1.2× 356 0.6× 129 4.5k

Countries citing papers authored by Ying Jia

Since Specialization
Citations

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

Fields of papers citing papers by Ying Jia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ying Jia

This figure shows the co-authorship network connecting the top 25 collaborators of Ying Jia. A scholar is included among the top collaborators of Ying Jia 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 Ying Jia. Ying Jia 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.
Jia, Ying, et al.. (2024). Tarantula Toxin Transcripts and Toxin Structure Prediction by AlphaFold. 6(2). 2 indexed citations
2.
Lv, Xinyan, et al.. (2024). Non-targeted metabolomics strategy reveals the role of Geng-Nian-Shu in regulating ferroptosis in perimenopausal syndrome. Journal of Pharmaceutical and Biomedical Analysis. 241. 115980–115980. 1 indexed citations
3.
Meng, Yue, Xinran Wang, Ying Jia, et al.. (2024). Establishment of multiple machine learning prognostic model for gene differences between primary tumors and lymph nodes in luminal breast cancer. Breast Cancer Research and Treatment. 210(2). 365–376.
4.
Li, Suyun, William Kwame Amakye, Ying Jia, et al.. (2024). Prognostic value of anthropometric- and biochemistry-based nutrition status indices on blood chemistry panel levels during cancer treatment. Nutrition. 126. 112520–112520. 1 indexed citations
6.
Zhao, Kai, et al.. (2024). Deep Eutectic-Based All-Solid-State Conductive Elastomers: Achieving Antibacterial, Conductive, and Transparent Properties. Industrial & Engineering Chemistry Research. 63(23). 10234–10242. 3 indexed citations
8.
Du, Yiyang, Tingxu Yan, Bo Wu, Bosai He, & Ying Jia. (2023). Research on the mechanism of antidepressive effect of Suanzaoren Decoction through TLR4/MyD88/NF-κB pathway and Wnt/β-catenin pathway. Journal of Ethnopharmacology. 319(Pt 1). 117190–117190. 10 indexed citations
9.
Li, Sijing, et al.. (2023). Additional role of ECC in the detection and treatment of cervical HSIL. Frontiers in Medicine. 10. 1206856–1206856. 2 indexed citations
10.
Du, Yiyang, Jiahong Wang, Chuang Ren, et al.. (2023). Screening the components in multi-biological samples and the comparative pharmacokinetic study in healthy and depression model rats of Suan-Zao-Ren decoction combined with a network pharmacology. Journal of Ethnopharmacology. 319(Pt 3). 117360–117360. 4 indexed citations
11.
Zhang, Xiaoying, Shiyu Wang, Jinyu Wang, et al.. (2023). Wei-Tong-Xin ameliorated cisplatin-induced mitophagy and apoptosis in gastric antral mucosa by activating the Nrf2/HO-1 pathway. Journal of Ethnopharmacology. 308. 116253–116253. 10 indexed citations
12.
Xu, Fanxing, Tingxu Yan, Feng Xiao, et al.. (2018). Tectochrysin from Alpinia Oxyphylla Miq. alleviates Aβ1–42 induced learning and memory impairments in mice. European Journal of Pharmacology. 842. 365–372. 30 indexed citations
13.
Li, Jun, et al.. (2017). Resveratrol Prevents ROS‐Induced Apoptosis in High Glucose‐Treated Retinal Capillary Endothelial Cells via the Activation of AMPK/Sirt1/PGC‐1α Pathway. Oxidative Medicine and Cellular Longevity. 2017(1). 7584691–7584691. 88 indexed citations
14.
Jiang, Guan, et al.. (2015). Role of the CKIP1 gene in proliferation and apoptosis of the human lung cancer cell line H1299. Genetics and Molecular Research. 14(2). 4005–4014. 6 indexed citations
15.
Jia, Ying, et al.. (2012). Simultaneous Determination of Eight Active Components in Chuanxiong Rhizoma from Different Areas by UPLC. 29(10). 902–906. 2 indexed citations
16.
Jia, Ying. (2011). Determination of the contents of monosaccharide components in non-starch polysaccharides of aerial part of Apium graveolens L. by pre-column derivatization GC. Shenyang Yaoke Daxue xuebao.
17.
Wang, Congyan, et al.. (2011). Insight into the temperature sensitivity of forest litter decomposition and soil enzymes in subtropical forest in China. Journal of Plant Ecology. 5(3). 279–286. 23 indexed citations
18.
Li, Yàn, Wei Wei, Kai Wen, et al.. (2010). [Sequence analysis, expression and antigenicity detection of bovine viral diarrhea virus NS3 gene].. PubMed. 26(3). 311–6. 1 indexed citations
19.
Jia, Ying. (2004). RP - HPLC Determination of 4 Active Components in Ramulus cinnamomi. Yaowu fenxi zazhi. 1 indexed citations
20.
Jia, Ying, et al.. (2001). A study on chemical constituents of Erigeron breviscapus (Vant.) Hand.-Mazz.. Shenyang Yaoke Daxue xuebao. 18(4). 4 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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