Sen-Lin Ji

608 total citations
18 papers, 428 citations indexed

About

Sen-Lin Ji is a scholar working on Molecular Biology, Pharmacology and Plant Science. According to data from OpenAlex, Sen-Lin Ji has authored 18 papers receiving a total of 428 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 4 papers in Pharmacology and 4 papers in Plant Science. Recurrent topics in Sen-Lin Ji's work include Fungal Biology and Applications (4 papers), Mycorrhizal Fungi and Plant Interactions (3 papers) and Inflammasome and immune disorders (3 papers). Sen-Lin Ji is often cited by papers focused on Fungal Biology and Applications (4 papers), Mycorrhizal Fungi and Plant Interactions (3 papers) and Inflammasome and immune disorders (3 papers). Sen-Lin Ji collaborates with scholars based in China, United States and Hong Kong. Sen-Lin Ji's co-authors include Jun‐Wei Xu, Jiangsheng Zhou, Huanjun Li, Yilong He, Jiyong Zhou, Shuo Su, Yan-Qing Duan, Li‐Zhi Dang, Xuya Yu and Ming‐He Mo and has published in prestigious journals such as Scientific Reports, International Journal of Molecular Sciences and BMC Genomics.

In The Last Decade

Sen-Lin Ji

16 papers receiving 421 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Sen-Lin Ji China	12	190	166	153	71	60	18	428
Ana Gómez Spain	9	76 0.4×	302 1.8×	57 0.4×	58 0.8×	78 1.3×	19	462
Azusa Kato Japan	9	69 0.4×	157 0.9×	43 0.3×	64 0.9×	142 2.4×	12	389
Jorge Humberto Ramírez-Prado Mexico	14	85 0.4×	255 1.5×	514 3.4×	37 0.5×	29 0.5×	41	718
Yanpeng Chen China	14	43 0.2×	116 0.7×	167 1.1×	39 0.5×	22 0.4×	33	486
Magally Romero-Tabarez Colombia	9	72 0.4×	203 1.2×	242 1.6×	31 0.4×	31 0.5×	20	498
Hee‐Moon Park South Korea	14	91 0.5×	460 2.8×	358 2.3×	138 1.9×	12 0.2×	61	733
C. Rodríguez United Kingdom	11	69 0.4×	180 1.1×	100 0.7×	23 0.3×	118 2.0×	21	461
Pascal Durrens France	20	60 0.3×	904 5.4×	454 3.0×	64 0.9×	85 1.4×	34	1.2k
Miguel Ángel Hernández‐Oñate Mexico	12	64 0.3×	233 1.4×	249 1.6×	36 0.5×	16 0.3×	33	554
Alex Butschi Switzerland	9	48 0.3×	278 1.7×	131 0.9×	27 0.4×	27 0.5×	10	466

Countries citing papers authored by Sen-Lin Ji

Since Specialization

Citations

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

Fields of papers citing papers by Sen-Lin Ji

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sen-Lin Ji. 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 Sen-Lin Ji. The network helps show where Sen-Lin Ji may publish in the future.

Co-authorship network of co-authors of Sen-Lin Ji

This figure shows the co-authorship network connecting the top 25 collaborators of Sen-Lin Ji. A scholar is included among the top collaborators of Sen-Lin Ji 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 Sen-Lin Ji. Sen-Lin Ji is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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18 of 18 papers shown

Xu, Siyi, Pinyi Liu, Junqiu Jia, et al.. (2025). Microglial NLRC5 drives lysosomal dysfunction to disrupt autophagic flux and promote post-stroke neuroinflammation. Journal of Neuroinflammation. 22(1). 253–253.

Chen, Peipei, et al.. (2025). Broxyquinoline targets NLRP3 to inhibit inflammasome activation and alleviate NLRP3-associated inflammatory diseases. International Immunopharmacology. 156. 114687–114687.

Chen, Peipei, Yunshu Wang, Zhuo Liu, et al.. (2024). Gastrodenol suppresses NLRP3/GSDMD mediated pyroptosis and ameliorates inflammatory diseases. Cellular Immunology. 405-406. 104888–104888. 4 indexed citations

Wu, Chenglong, et al.. (2024). Targeting ferroptosis in neuroimmune and neurodegenerative disorders for the development of novel therapeutics. Biomedicine & Pharmacotherapy. 176. 116777–116777. 24 indexed citations

Chen, Peipei, Yunshu Wang, Chao Zhou, et al.. (2024). New applications of clioquinol in the treatment of inflammation disease by directly targeting arginine 335 of NLRP3. Journal of Pharmaceutical Analysis. 15(1). 101069–101069. 1 indexed citations

Zhao, Wen, Wanting He, Ningning Wang, et al.. (2019). Generation of Monoclonal Antibodies against Variable Epitopes of the M Protein of Rabies Virus. Viruses. 11(4). 375–375. 5 indexed citations

Ji, Sen-Lin, Mengyan Zhu, Junyan Zhang, et al.. (2018). Microarray analysis of lncRNA expression in rabies virus infected human neuroblastoma cells. Infection Genetics and Evolution. 67. 88–100. 16 indexed citations

Zhang, Xu, Yuchen Cai, Xiaofeng Zhai, et al.. (2018). Comprehensive Analysis of Codon Usage on Rabies Virus and Other Lyssaviruses. International Journal of Molecular Sciences. 19(8). 2397–2397. 20 indexed citations

Li, Gairu, Sen-Lin Ji, Xiaofeng Zhai, et al.. (2017). Evolutionary and genetic analysis of the VP2 gene of canine parvovirus. BMC Genomics. 18(1). 534–534. 52 indexed citations

10.

Su, Shuo, Gang Xing, Junhua Wang, et al.. (2016). Characterization of H7N2 Avian Influenza Virus in Wild Birds and Pikas in Qinghai-Tibet Plateau Area. Scientific Reports. 6(1). 30974–30974. 18 indexed citations

11.

Liu, Fei, Juan Liu, Dandan Wang, et al.. (2016). The co-chaperone Cdc37 regulates the rabies virus phosphoprotein stability by targeting to Hsp90AA1 machinery. Scientific Reports. 6(1). 27123–27123. 29 indexed citations

12.

Ji, Sen-Lin, et al.. (2015). Enhanced Production of Polysaccharide Through the Overexpression of Homologous Uridine Diphosphate Glucose Pyrophosphorylase Gene in a Submerged Culture of Lingzhi or Reishi Medicinal Mushroom, Ganoderma lucidum (Higher Basidiomycetes). International journal of medicinal mushrooms. 17(5). 435–442. 38 indexed citations

13.

Xu, Jun‐Wei, Sen-Lin Ji, Huanjun Li, et al.. (2014). Increased polysaccharide production and biosynthetic gene expressions in a submerged culture of Ganoderma lucidum by the overexpression of the homologous α-phosphoglucomutase gene. Bioprocess and Biosystems Engineering. 38(2). 399–405. 81 indexed citations

14.

Yu, Xuya, et al.. (2014). Development of an Expression Plasmid and its Use in Genetic Manipulation of Lingzhi or Reishi Medicinal Mushroom, Ganoderma lucidum (Higher Basidiomycetes). International journal of medicinal mushrooms. 16(2). 161–168. 44 indexed citations

15.

Zhou, Jiangsheng, et al.. (2014). Enhanced accumulation of individual ganoderic acids in a submerged culture of Ganoderma lucidum by the overexpression of squalene synthase gene. Biochemical Engineering Journal. 90. 178–183. 55 indexed citations

16.

Song, Yuzhu, et al.. (2013). Different Expression Profiles of Bioactive Peptides inPelophylax nigromaculatusfrom Distinct Regions. Bioscience Biotechnology and Biochemistry. 77(5). 1075–1079. 18 indexed citations

17.

Ji, Sen-Lin, et al.. (2013). Molecular Cloning and Characterization of Cystatin, a Cysteine Protease Inhibitor, fromBufo melanostictus. Bioscience Biotechnology and Biochemistry. 77(10). 2077–2081. 3 indexed citations

18.

Huang, Qingyang, et al.. (2006). Linkage and Association Studies of the Susceptibility Genes for Type 2 Diabetes. Acta Genetica Sinica. 33(7). 573–589. 20 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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