Sen Jiang

560 total citations
35 papers, 370 citations indexed

About

Sen Jiang is a scholar working on Immunology, Infectious Diseases and Agronomy and Crop Science. According to data from OpenAlex, Sen Jiang has authored 35 papers receiving a total of 370 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Immunology, 19 papers in Infectious Diseases and 11 papers in Agronomy and Crop Science. Recurrent topics in Sen Jiang's work include interferon and immune responses (15 papers), Viral Infections and Vectors (13 papers) and Animal Disease Management and Epidemiology (11 papers). Sen Jiang is often cited by papers focused on interferon and immune responses (15 papers), Viral Infections and Vectors (13 papers) and Animal Disease Management and Epidemiology (11 papers). Sen Jiang collaborates with scholars based in China, Canada and France. Sen Jiang's co-authors include Nanhua Chen, Jianzhong Zhu, François Meurens, Wanglong Zheng, Qi Cao, Jia Luo, Jiajia Zhang, Yulin Xu, Qi Shao and Jia Luo and has published in prestigious journals such as Journal of Biological Chemistry, The Journal of Immunology and Journal of Virology.

In The Last Decade

Sen Jiang

31 papers receiving 366 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sen Jiang China 12 164 145 126 86 68 35 370
Yeon-Ji Bae South Korea 10 62 0.4× 31 0.2× 49 0.4× 68 0.8× 13 0.2× 17 217
Shu-Ming Kuo Taiwan 10 93 0.6× 66 0.5× 30 0.2× 69 0.8× 10 0.1× 11 315
Sirin Theerawatanasirikul Thailand 11 51 0.3× 17 0.1× 53 0.4× 80 0.9× 28 0.4× 33 321
Sang-Gu Yeo South Korea 12 164 1.0× 69 0.5× 58 0.5× 125 1.5× 4 0.1× 21 384
Lara Grollo Australia 11 85 0.5× 98 0.7× 35 0.3× 117 1.4× 5 0.1× 18 380
Mee Sook Park South Korea 12 92 0.6× 75 0.5× 32 0.3× 123 1.4× 6 0.1× 18 345
R. Barathidasan India 11 75 0.5× 12 0.1× 34 0.3× 41 0.5× 13 0.2× 36 273
Deivys Leandro Portuondo Brazil 14 233 1.4× 97 0.7× 16 0.1× 81 0.9× 15 0.2× 30 470
Leena Pohjola Finland 8 45 0.3× 20 0.1× 29 0.2× 105 1.2× 7 0.1× 10 315
P. G. Deryabin Russia 9 101 0.6× 17 0.1× 43 0.3× 45 0.5× 8 0.1× 32 279

Countries citing papers authored by Sen Jiang

Since Specialization
Citations

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

Fields of papers citing papers by Sen Jiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sen Jiang

This figure shows the co-authorship network connecting the top 25 collaborators of Sen Jiang. A scholar is included among the top collaborators of Sen 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 Sen Jiang. Sen 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.
Han, Hua, Desheng Zhang, Jia Luo, et al.. (2025). Parallel and Visual Detections of ASFV by CRISPR-Cas12a and CRISPR-Cas13a Systems Targeting the Viral S273R Gene. Animals. 15(13). 1902–1902.
2.
Zhang, K., et al.. (2025). A nucleocapsid monoclonal antibody based sandwich ELISA for the general detection of both PRRSV-2 and PRRSV-1. Veterinary Microbiology. 302. 110399–110399. 1 indexed citations
3.
Sun, Ziyan, K. Zhang, Sen Jiang, et al.. (2025). The capsid protein p72 specific mAb and the corresponding novel epitope based ELISAs for detection of ASFV infection. Veterinary Microbiology. 303. 110437–110437. 1 indexed citations
4.
Zhang, K., Ping He, Sen Jiang, et al.. (2025). A Novel Peptide-Based Enzyme-Linked Immunosorbent Assay (ELISA) for Detection of Neutralizing Antibodies Against NADC30-like PRRSV GP5 Protein. International Journal of Molecular Sciences. 26(6). 2619–2619. 1 indexed citations
5.
6.
Zhang, Desheng, Sen Jiang, Jiajia Zhang, et al.. (2024). Development of visual detection of African swine fever virus using CRISPR/LwCas13a lateral flow strip based on structural protein gene D117L. Veterinary Microbiology. 293. 110073–110073. 4 indexed citations
7.
Zhang, Youwen, Yulin Xu, Sen Jiang, et al.. (2023). Multiple Porcine Innate Immune Signaling Pathways Are Involved in the Anti-PEDV Response. Viruses. 15(8). 1629–1629.
8.
Zhang, Desheng, Sen Jiang, Youwen Zhang, et al.. (2023). Rapid Visual Detection of African Swine Fever Virus with a CRISPR/Cas12a Lateral Flow Strip Based on Structural Protein Gene D117L. Animals. 13(23). 3712–3712. 6 indexed citations
9.
Xu, Yulin, Ming Qiu, Sen Jiang, et al.. (2023). Manganese Mediates Its Antiviral Functions in a cGAS-STING Pathway Independent Manner. Viruses. 15(3). 646–646. 6 indexed citations
10.
Jiang, Sen, Qi Cao, Jia Luo, et al.. (2023). The Chicken cGAS–STING Pathway Exerts Interferon-Independent Antiviral Function via Cell Apoptosis. Animals. 13(16). 2573–2573. 2 indexed citations
11.
Zheng, Wanglong, Sen Jiang, Qi Cao, et al.. (2022). Porcine cGAS-STING signaling induced autophagy inhibits STING downstream IFN and apoptosis. Frontiers in Immunology. 13. 1021384–1021384. 5 indexed citations
12.
Zheng, Wanglong, Jiajia Zhang, Qi Cao, et al.. (2022). African Swine Fever Virus Structural Protein p17 Inhibits cGAS-STING Signaling Pathway Through Interacting With STING. Frontiers in Immunology. 13. 941579–941579. 30 indexed citations
13.
Jiang, Sen, Yulin Xu, Qi Shao, et al.. (2021). African Swine Fever Virus A528R Inhibits TLR8 Mediated NF-κB Activity by Targeting p65 Activation and Nuclear Translocation. Viruses. 13(10). 2046–2046. 26 indexed citations
14.
Liu, Xueliang, Pengpeng Xia, Hui Wang, et al.. (2021). Identification of imidazoquinoline derivative (IQD) interacting sites of porcine TLR8 and the underlying species specificity. Molecular Immunology. 136. 45–54. 2 indexed citations
15.
Wang, Hui, Xueliang Liu, Qi Shao, et al.. (2020). African Swine Fever Virus Structural Protein p17 Inhibits Cell Proliferation through ER Stress—ROS Mediated Cell Cycle Arrest. Viruses. 13(1). 21–21. 37 indexed citations
16.
Zheng, Nan, Sen Jiang, Yefu Chen, et al.. (2020). Production of low-alcohol Huangjiu with improved acidity and reduced levels of higher alcohols by fermentation with scarless ALD6 overexpression yeast. Food Chemistry. 321. 126691–126691. 20 indexed citations
17.
Li, Shuangjie, Sen Jiang, Jia Luo, et al.. (2020). Inter-relation analysis of signaling adaptors of porcine innate immune pathways. Molecular Immunology. 121. 20–27. 9 indexed citations
18.
Jiang, Sen, et al.. (2019). Effect of transcription factor PnWRKY1 on the biosynthesis of Panax notoginseng saponins.. Xibei zhiwu xuebao. 39(3). 430–438. 2 indexed citations
19.
Xia, Pengpeng, et al.. (2019). Comparative transcriptome analysis of TLR8 signaling cells revealed the porcine TLR8 specific differentially expressed genes. Developmental & Comparative Immunology. 98. 129–136. 11 indexed citations
20.
Jiang, Sen, et al.. (2018). Effect of Farnesyl-pyrophosphate Synthase(FPS) on the Biosynthesis of Saponins in Panax japonicus. Zhiwu yanjiu. 38(4). 611–618. 2 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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