Jian Fei

5.3k total citations
186 papers, 3.9k citations indexed

About

Jian Fei is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Genetics. According to data from OpenAlex, Jian Fei has authored 186 papers receiving a total of 3.9k indexed citations (citations by other indexed papers that have themselves been cited), including 85 papers in Molecular Biology, 49 papers in Cellular and Molecular Neuroscience and 23 papers in Genetics. Recurrent topics in Jian Fei's work include Neuroscience and Neuropharmacology Research (31 papers), Neuroinflammation and Neurodegeneration Mechanisms (11 papers) and Tryptophan and brain disorders (10 papers). Jian Fei is often cited by papers focused on Neuroscience and Neuropharmacology Research (31 papers), Neuroinflammation and Neurodegeneration Mechanisms (11 papers) and Tryptophan and brain disorders (10 papers). Jian Fei collaborates with scholars based in China, United States and Australia. Jian Fei's co-authors include Zhugang Wang, Fang Huang, Mei Yu, Ying Kuang, Ruilin Sun, Shunyuan Lu, Haoyue Wang, Lihe Guo, Lingyun Tang and Shisan Bao and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Nature Communications.

In The Last Decade

Jian Fei

178 papers receiving 3.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jian Fei China 34 1.7k 775 473 392 317 186 3.9k
Barbara Ahlemeyer Germany 36 2.9k 1.7× 720 0.9× 446 0.9× 507 1.3× 284 0.9× 65 5.3k
Shuhua Chen China 38 1.6k 0.9× 563 0.7× 879 1.9× 792 2.0× 220 0.7× 148 4.2k
Haitao Wang China 39 2.2k 1.3× 669 0.9× 188 0.4× 553 1.4× 305 1.0× 163 4.8k
Chul Hoon Kim South Korea 34 2.2k 1.3× 1.2k 1.5× 538 1.1× 489 1.2× 315 1.0× 138 4.8k
Dong Woon Kim South Korea 32 1.6k 0.9× 570 0.7× 187 0.4× 634 1.6× 387 1.2× 279 4.8k
Dariusz C. Górecki United Kingdom 37 2.4k 1.4× 683 0.9× 357 0.8× 692 1.8× 324 1.0× 117 4.2k
Marianna Sikorska Canada 39 2.9k 1.6× 504 0.7× 295 0.6× 330 0.8× 380 1.2× 78 4.3k
Ana Maria Oliveira Battastini Brazil 43 1.9k 1.1× 440 0.6× 438 0.9× 519 1.3× 367 1.2× 195 6.0k
Ting‐Ting Huang United States 31 2.3k 1.3× 331 0.4× 444 0.9× 890 2.3× 272 0.9× 84 4.7k

Countries citing papers authored by Jian Fei

Since Specialization
Citations

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

Fields of papers citing papers by Jian Fei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jian Fei

This figure shows the co-authorship network connecting the top 25 collaborators of Jian Fei. A scholar is included among the top collaborators of Jian Fei 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 Jian Fei. Jian Fei 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.
Fei, Jian, et al.. (2025). Isotope-coded hydrazide tags for MALDI-MS based quantitative glycomics. Talanta. 292. 127921–127921.
2.
Chen, Fangzheng, Jiayin Zhao, Xiaoshuang Zhang, et al.. (2025). Sex-dependent impact of Il6 deficiency in Parkinson's disease mice. Genes & Diseases. 101986–101986.
3.
Chen, Fangzheng, Peng Ning, Qing Li, et al.. (2025). Interleukin-33 promotes dopaminergic neuron survival and inhibits glial activation in Parkinson’s disease models. Brain Behavior and Immunity. 129. 787–800. 1 indexed citations
4.
Yue, Ying, et al.. (2024). GABA transporter mGat4 is involved in multiple neural functions in mice. Biochimica et Biophysica Acta (BBA) - Molecular Cell Research. 1871(5). 119740–119740. 5 indexed citations
5.
Li, Chaojie, Chunling Shen, Wenfeng Xiong, et al.. (2024). Spem2, a novel testis-enriched gene, is required for spermiogenesis and fertilization in mice. Cellular and Molecular Life Sciences. 81(1). 108–108. 7 indexed citations
7.
Zhang, Haokun, Ruilin Sun, Jian Fei, Hongyan Chen, & Daru Lu. (2022). Correction of Beta-Thalassemia IVS-II-654 Mutation in a Mouse Model Using Prime Editing. International Journal of Molecular Sciences. 23(11). 5948–5948. 20 indexed citations
8.
Guo, Yang, Bingyin Wang, Yanjuan Chen, et al.. (2021). A bioluminescence reporter mouse strain for in vivo imaging of CD8+ T cell localization and function. Biochemical and Biophysical Research Communications. 581. 12–19. 4 indexed citations
9.
Ma, Yuanyuan, Jinghui Wang, Xiaoshuang Zhang, et al.. (2021). Partial depletion and repopulation of microglia have different effects in the acute MPTP mouse model of Parkinson’s disease. Cell Proliferation. 54(8). e13094–e13094. 28 indexed citations
10.
Tan, Richard P., Alex Chan, Bob S. L. Lee, et al.. (2020). Immobilized Macrophage Colony-Stimulating Factor (M-CSF) Regulates the Foreign Body Response to Implanted Materials. ACS Biomaterials Science & Engineering. 6(2). 995–1007. 15 indexed citations
11.
Wang, Zishan, Jinghui Wang, Yulu Huang, et al.. (2020). Pro-survival and anti-inflammatory roles of NF-κB c-Rel in the Parkinson's disease models. Redox Biology. 30. 101427–101427. 32 indexed citations
12.
Yang, Xingyu, Qing Li, Yang Guo, et al.. (2016). Cystathionine γ-Lyase Deficiency Exacerbates CCl 4 -Induced Acute Hepatitis and Fibrosis in the Mouse Liver. Antioxidants and Redox Signaling. 27(3). 133–149. 27 indexed citations
13.
Fei, Jian. (2010). Pectin Extraction from Mulberry Bark and Application of Pectin-derived Nano-cellulose Whiskers in Silk Fibroin Composite Film. Canye kexue. 1 indexed citations
14.
Wang, Ying, Qingqiong Luo, Yan Xu, et al.. (2009). γ-Aminobutyric Acid Transporter 1 Negatively Regulates T Cell Activation and Survival through Protein Kinase C-Dependent Signaling Pathways. The Journal of Immunology. 183(5). 3488–3495. 15 indexed citations
15.
Li, Limei, Zhaoliang Fei, Jianke Ren, et al.. (2008). Functional imaging of interleukin 1 beta expression in inflammatory process using bioluminescence imaging in transgenic mice. BMC Immunology. 9(1). 54 indexed citations
16.
Wu, Buling, et al.. (2006). [Generation of transgenic mouse of dentin sialoprotein and transgene expression analysis].. PubMed. 15(2). 181–5. 1 indexed citations
17.
Hu, Jia, et al.. (2004). Identification of Glutamate Receptors and Transporters in Mouse and Human Sperm. Journal of Andrology. 25(1). 140–146. 28 indexed citations
18.
Hu, Jia, et al.. (2004). Identification of glutamate transporters and receptors in mouse testis.. PubMed. 25(3). 366–71. 24 indexed citations
19.
Qin, Xinyu, Zhigang Wang, Jian Fei, et al.. (2003). Involvement of dopamine D3 and neuropeptide Y Y5 receptors in diabetic gastroparetic rats without response to erythromycin.. PubMed. 35(9). 811–5. 3 indexed citations
20.
Liu, Zhaoping, Yan Wang, Jue Zhang, et al.. (2001). Orphanin FQ: an endogenous antagonist of rat brain dopamine transporter. Neuroreport. 12(4). 699–702. 13 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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