Jiajun Jiang

1.5k total citations
49 papers, 578 citations indexed

About

Jiajun Jiang is a scholar working on Molecular Biology, Biological Psychiatry and Genetics. According to data from OpenAlex, Jiajun Jiang has authored 49 papers receiving a total of 578 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 12 papers in Biological Psychiatry and 11 papers in Genetics. Recurrent topics in Jiajun Jiang's work include Tryptophan and brain disorders (12 papers), Gut microbiota and health (9 papers) and Bipolar Disorder and Treatment (9 papers). Jiajun Jiang is often cited by papers focused on Tryptophan and brain disorders (12 papers), Gut microbiota and health (9 papers) and Bipolar Disorder and Treatment (9 papers). Jiajun Jiang collaborates with scholars based in China, United States and Taiwan. Jiajun Jiang's co-authors include Shaohua Hu, Quanqi Zhang, Peifen Zhang, Jianbo Lai, Caixi Xi, Xubo Wang, Jinning Gao, Jinxiang Liu, Lingling Wu and Chung‐Hao Chen and has published in prestigious journals such as SHILAP Revista de lepidopterología, ACS Nano and International Journal of Molecular Sciences.

In The Last Decade

Jiajun Jiang

44 papers receiving 571 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Jiajun Jiang 235 126 103 79 58 49 578
Antoine Lefèvre 258 1.1× 81 0.6× 95 0.9× 33 0.4× 57 1.0× 43 589
Jean-Dominique Gallezot 180 0.8× 34 0.3× 54 0.5× 30 0.4× 124 2.1× 13 716
Corey R. Quackenbush 228 1.0× 91 0.7× 86 0.8× 41 0.5× 107 1.8× 20 462
Jian‐Huan Chen 573 2.4× 57 0.5× 204 2.0× 64 0.8× 86 1.5× 71 1.1k
Hilde de Kluiver 161 0.7× 55 0.4× 248 2.4× 62 0.8× 58 1.0× 10 686
C Cai 280 1.2× 32 0.3× 105 1.0× 101 1.3× 42 0.7× 84 613
Yan Xia 312 1.3× 202 1.6× 202 2.0× 109 1.4× 46 0.8× 47 824
T Hirose 147 0.6× 64 0.5× 184 1.8× 160 2.0× 30 0.5× 21 650
Emily C. Radlowski 160 0.7× 25 0.2× 31 0.3× 31 0.4× 80 1.4× 19 705
Yuanhao Yang 128 0.5× 25 0.2× 160 1.6× 164 2.1× 39 0.7× 34 640

Countries citing papers authored by Jiajun Jiang

Since Specialization
Citations

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

Fields of papers citing papers by Jiajun Jiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jiajun Jiang

This figure shows the co-authorship network connecting the top 25 collaborators of Jiajun Jiang. A scholar is included among the top collaborators of Jiajun Jiang 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 Jiajun Jiang. Jiajun Jiang 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.
2.
Zhou, Xing, Wan Chen, Xu Deng, et al.. (2025). Hybrid Exosome–Liposome Nanoparticles for Dual Modulation of Neuroinflammation and Lipid Metabolism in Ischemic Stroke. ACS Nano. 19(37). 33567–33586.
3.
Wang, Wei, Mingyu Su, Jiajun Jiang, et al.. (2025). Akkermansia muciniphila Akk11 Supplementation Attenuates MPTP-Induced Neurodegeneration by Inhibiting Microglial NLRP3 Inflammasome. Probiotics and Antimicrobial Proteins. 17(4). 2348–2361. 7 indexed citations
4.
Lam, Tu‐Ngoc, et al.. (2024). Predictions of Lattice Parameters in NiTi High-Entropy Shape-Memory Alloys Using Different Machine Learning Models. Materials. 17(19). 4754–4754. 1 indexed citations
5.
Liu, Liu, Shitong Wang, Sichen Wang, et al.. (2024). Empagliflozin alleviates neuroinflammation by inhibiting astrocyte activation in the brain and regulating gut microbiota of high-fat diet mice. Journal of Affective Disorders. 360. 229–241. 7 indexed citations
6.
Jiang, Jiajun, Danhua Zhang, Tingting Mou, et al.. (2023). Sex difference in prebiotics on gut and blood–brain barrier dysfunction underlying stress‐induced anxiety and depression. CNS Neuroscience & Therapeutics. 29(S1). 115–128. 28 indexed citations
7.
Zhang, Peifen, Danhua Zhang, Jianbo Lai, et al.. (2023). Characteristics of the gut microbiota in bipolar depressive disorder patients with distinct weight. CNS Neuroscience & Therapeutics. 29(S1). 74–83. 8 indexed citations
8.
Li, Shaoli, Duo Lv, Chao Qian, et al.. (2023). Circulating T‐cell subsets discrepancy between bipolar disorder and major depressive disorder during mood episodes: A naturalistic, retrospective study of 1015 cases. CNS Neuroscience & Therapeutics. 30(2). e14361–e14361. 4 indexed citations
9.
Jiang, Jiajun, et al.. (2023). The study on the estimation of vehicles speed using a dashboard camera. Multimedia Tools and Applications. 83(15). 45777–45798. 1 indexed citations
10.
Atyabi, Adham, Frederick Shic, Jiajun Jiang, et al.. (2022). Stratification of Children with Autism Spectrum Disorder Through Fusion of Temporal Information in Eye-gaze Scan-Paths. ACM Transactions on Knowledge Discovery from Data. 17(2). 1–20. 12 indexed citations
11.
Wu, Shanshan, Li Liu, Xiaoqi Liu, et al.. (2022). Drosophila Relish‐mediated miR‐317 expression facilitates immune homeostasis restoration via inhibiting PGRP‐LC. European Journal of Immunology. 52(12). 1934–1945. 12 indexed citations
12.
Lai, Jianbo, Jiajun Jiang, Peifen Zhang, et al.. (2021). Impaired blood‐brain barrier in the microbiota‐gut‐brain axis: Potential role of bipolar susceptibility gene TRANK1. Journal of Cellular and Molecular Medicine. 25(14). 6463–6469. 14 indexed citations
13.
Lai, Jianbo, Jiajun Jiang, Peifen Zhang, et al.. (2020). Gut microbial clues to bipolar disorder: State‐of‐the‐art review of current findings and future directions. SHILAP Revista de lepidopterología. 10(4). e146–e146. 16 indexed citations
14.
Lu, Shaojia, Ning Wei, Jiajun Jiang, et al.. (2020). First report of manic-like symptoms in a COVID-19 patient with no previous history of a psychiatric disorder. Journal of Affective Disorders. 277. 337–340. 54 indexed citations
15.
Xi, Caixi, Jianbo Lai, Yanli Du, et al.. (2020). Abnormal functional connectivity within the reward network: a potential neuroimaging endophenotype of bipolar disorder. Journal of Affective Disorders. 280(Pt B). 49–56. 14 indexed citations
16.
Liu, Jinxiang, Jiajun Jiang, Zhongkai Wang, Yan He, & Quanqi Zhang. (2016). Origin and evolution of GATA2a and GATA2b in teleosts: insights from tongue sole, Cynoglossus semilaevis. PeerJ. 4. e1790–e1790. 5 indexed citations
17.
Jiang, Jiajun, Liming Jiang, Fang Yang, et al.. (2015). Insights into Trx1, TRP14, and Prx1 homologs of Paralichthys olivaceus: molecular profiles and transcriptional responses to immune stimulations. Fish Physiology and Biochemistry. 42(2). 547–561. 7 indexed citations
18.
Wu, Xiao‐Meng, Zhongkai Wang, Jiajun Jiang, et al.. (2013). Cloning, expression promoter analysis of vasa gene in Japanese flounder (Paralichthys olivaceus). Comparative Biochemistry and Physiology Part B Biochemistry and Molecular Biology. 167. 41–50. 27 indexed citations
19.
20.
Zhou, Ningning, et al.. (1991). Identification of Alien Chromatin and Ribosomal DNA in Wheat by in Situ Hybridization. Zhiwu xuebao. 33(6). 437–442. 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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