Huajun Jin

6.2k total citations
101 papers, 4.5k citations indexed

About

Huajun Jin is a scholar working on Molecular Biology, Neurology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Huajun Jin has authored 101 papers receiving a total of 4.5k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Molecular Biology, 42 papers in Neurology and 30 papers in Cellular and Molecular Neuroscience. Recurrent topics in Huajun Jin's work include Parkinson's Disease Mechanisms and Treatments (39 papers), Neuroinflammation and Neurodegeneration Mechanisms (22 papers) and Nuclear Receptors and Signaling (16 papers). Huajun Jin is often cited by papers focused on Parkinson's Disease Mechanisms and Treatments (39 papers), Neuroinflammation and Neurodegeneration Mechanisms (22 papers) and Nuclear Receptors and Signaling (16 papers). Huajun Jin collaborates with scholars based in United States, China and Australia. Huajun Jin's co-authors include Anumantha G. Kanthasamy, Arthi Kanthasamy, Vellareddy Anantharam, Dilshan S. Harischandra, Anamitra Ghosh, Souvarish Sarkar, Shivani Ghaisas, Dharmin Rokad, Jie Luo and Adhithiya Charli and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and The Journal of Experimental Medicine.

In The Last Decade

Huajun Jin

100 papers receiving 4.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Huajun Jin United States 40 1.9k 1.4k 943 917 763 101 4.5k
Arthi Kanthasamy United States 53 3.0k 1.6× 2.1k 1.5× 1.3k 1.4× 1.6k 1.7× 1.1k 1.5× 131 7.0k
Delinda A. Johnson United States 37 4.7k 2.5× 937 0.7× 1.1k 1.1× 735 0.8× 945 1.2× 55 7.0k
Masato Asanuma Japan 45 2.1k 1.1× 1.5k 1.1× 1.2k 1.3× 2.3k 2.6× 868 1.1× 235 6.7k
Juan Segura‐Aguilar Chile 39 2.5k 1.3× 1.8k 1.3× 488 0.5× 1.4k 1.5× 769 1.0× 132 6.1k
Isao Hozumi Japan 33 1.4k 0.7× 1.2k 0.9× 575 0.6× 1.1k 1.2× 706 0.9× 142 4.1k
Ikuko Miyazaki Japan 39 1.4k 0.8× 1.2k 0.9× 808 0.9× 1.6k 1.7× 548 0.7× 131 4.7k
Oliver Bandmann United Kingdom 41 2.0k 1.1× 2.5k 1.8× 779 0.8× 1.5k 1.6× 923 1.2× 123 6.0k
Yansheng Du United States 38 2.0k 1.0× 824 0.6× 1.5k 1.6× 1.3k 1.4× 2.0k 2.6× 94 5.5k
Byoung Joo Gwag South Korea 41 2.9k 1.5× 623 0.5× 860 0.9× 2.2k 2.4× 1.1k 1.5× 94 6.3k
Jason R. Cannon United States 32 943 0.5× 1.4k 1.0× 452 0.5× 985 1.1× 473 0.6× 74 3.4k

Countries citing papers authored by Huajun Jin

Since Specialization
Citations

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

Fields of papers citing papers by Huajun Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Huajun Jin

This figure shows the co-authorship network connecting the top 25 collaborators of Huajun Jin. A scholar is included among the top collaborators of Huajun Jin 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 Huajun Jin. Huajun Jin 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.
Abdalla, Ahmed N., Benjamin Schneider, Manikandan Samidurai, et al.. (2025). Bioengineered gut bacterium synthesizing levodopa alleviates motor deficits in models of Parkinson’s disease. Cell Host & Microbe. 33(11). 1837–1854.e13.
2.
Richardson, Gavin D., Huajun Jin, Gary Zenitsky, et al.. (2025). Pathological α-synuclein dysregulates epitranscriptomic writer METTL3 to drive neuroinflammation in microglia. Cell Reports. 44(5). 115618–115618. 2 indexed citations
3.
Ay, Muhammet, Adhithiya Charli, Monica R. Langley, et al.. (2024). Mito-metformin protects against mitochondrial dysfunction and dopaminergic neuronal degeneration by activating upstream PKD1 signaling in cell culture and MitoPark animal models of Parkinson’s disease. Frontiers in Neuroscience. 18. 1356703–1356703. 7 indexed citations
4.
Jin, Huajun, et al.. (2024). Manganese and Vanadium Co-Exposure Induces Severe Neurotoxicity in the Olfactory System: Relevance to Metal-Induced Parkinsonism. International Journal of Molecular Sciences. 25(10). 5285–5285. 4 indexed citations
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Ghaisas, Shivani, Monica R. Langley, Bharathi N. Palanisamy, et al.. (2019). MitoPark transgenic mouse model recapitulates the gastrointestinal dysfunction and gut-microbiome changes of Parkinson’s disease. NeuroToxicology. 75. 186–199. 38 indexed citations
8.
Manne, Sireesha, Naveen Kondru, Huajun Jin, et al.. (2019). α‐Synuclein Real‐Time Quaking‐Induced Conversion in the Submandibular Glands of Parkinson's Disease Patients. Movement Disorders. 35(2). 268–278. 102 indexed citations
9.
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Sarkar, Souvarish, Dharmin Rokad, Emir Malovic, et al.. (2019). Manganese activates NLRP3 inflammasome signaling and propagates exosomal release of ASC in microglial cells. Science Signaling. 12(563). 123 indexed citations
11.
Sarkar, Souvarish, Emir Malovic, Shivani Ghaisas, et al.. (2017). Mitochondrial impairment in microglia amplifies NLRP3 inflammasome proinflammatory signaling in cell culture and animal models of Parkinson’s disease. npj Parkinson s Disease. 3(1). 30–30. 223 indexed citations
12.
Sarkar, Souvarish, Emir Malovic, Dilshan S. Harischandra, et al.. (2017). Manganese exposure induces neuroinflammation by impairing mitochondrial dynamics in astrocytes. NeuroToxicology. 64. 204–218. 107 indexed citations
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14.
Sarkar, Souvarish, Emir Malovic, Gary Zenitsky, et al.. (2017). Rapid and Refined CD11b Magnetic Isolation of Primary Microglia with Enhanced Purity and Versatility. Journal of Visualized Experiments. 16 indexed citations
15.
Gordon, Richard D., Neeraj Singh, Vivek Lawana, et al.. (2016). Protein kinase Cδ upregulation in microglia drives neuroinflammatory responses and dopaminergic neurodegeneration in experimental models of Parkinson's disease. Neurobiology of Disease. 93. 96–114. 81 indexed citations
16.
Jin, Huajun, et al.. (2016). p73 gene in dopaminergic neurons is highly susceptible to manganese neurotoxicity. NeuroToxicology. 59. 231–239. 15 indexed citations
17.
Ghosh, Anamitra, Monica R. Langley, Dilshan S. Harischandra, et al.. (2016). Mitoapocynin Treatment Protects Against Neuroinflammation and Dopaminergic Neurodegeneration in a Preclinical Animal Model of Parkinson’s Disease. Journal of Neuroimmune Pharmacology. 11(2). 259–278. 86 indexed citations
18.
Harischandra, Dilshan S., Huajun Jin, Vellareddy Anantharam, Arthi Kanthasamy, & Anumantha G. Kanthasamy. (2014). α-Synuclein Protects Against Manganese Neurotoxic Insult During the Early Stages of Exposure in a Dopaminergic Cell Model of Parkinson’s Disease. Toxicological Sciences. 143(2). 454–468. 84 indexed citations
19.
Kanthasamy, Arthi, Arthi Kanthasamy, Huajun Jin, et al.. (2013). Vanadium exposure induces olfactory dysfunction in an animal model of metal neurotoxicity. NeuroToxicology. 43. 73–81. 36 indexed citations
20.
Lin, Meng‐Hsien, Prashanth Chandramani-Shivalingappa, Huajun Jin, et al.. (2012). Methamphetamine-induced neurotoxicity linked to ubiquitin-proteasome system dysfunction and autophagy-related changes that can be modulated by protein kinase C delta in dopaminergic neuronal cells. Neuroscience. 210. 308–332. 69 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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