Jinding Chen

2.8k total citations · 1 hit paper
91 papers, 2.0k citations indexed

About

Jinding Chen is a scholar working on Agronomy and Crop Science, Infectious Diseases and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Jinding Chen has authored 91 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Agronomy and Crop Science, 27 papers in Infectious Diseases and 27 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Jinding Chen's work include Animal Disease Management and Epidemiology (46 papers), Viral Infections and Immunology Research (26 papers) and Animal Virus Infections Studies (21 papers). Jinding Chen is often cited by papers focused on Animal Disease Management and Epidemiology (46 papers), Viral Infections and Immunology Research (26 papers) and Animal Virus Infections Studies (21 papers). Jinding Chen collaborates with scholars based in China, Canada and Australia. Jinding Chen's co-authors include Mingqiu Zhao, Shuangqi Fan, Lin Yi, Hongxing Ding, Yuwan Li, Zhaoyao Li, Keke Wu, Xiangang Kong, Shengwang Liu and Wenxian Chen and has published in prestigious journals such as Journal of Virology, Scientific Reports and International Journal of Molecular Sciences.

In The Last Decade

Jinding Chen

86 papers receiving 1.9k citations

Hit Papers

African Swine Fever Virus: A Review 2022 2026 2023 2024 2022 25 50 75 100

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jinding Chen China 25 740 660 571 424 388 91 2.0k
Naveen Kumar India 22 740 1.0× 291 0.4× 342 0.6× 393 0.9× 282 0.7× 78 1.9k
Yongguang Zhang China 25 613 0.8× 535 0.8× 428 0.7× 702 1.7× 455 1.2× 102 2.1k
Xiangdong Li China 31 1.3k 1.7× 674 1.0× 1.3k 2.2× 520 1.2× 604 1.6× 144 2.9k
Małgorzata Pomorska‐Mól Poland 21 572 0.8× 412 0.6× 571 1.0× 150 0.4× 118 0.3× 119 1.5k
Massimo Amadori Italy 24 424 0.6× 1.0k 1.6× 659 1.2× 291 0.7× 159 0.4× 105 2.1k
Munir Iqbal United Kingdom 29 1.1k 1.5× 1.1k 1.7× 457 0.8× 609 1.4× 201 0.5× 113 3.0k
Shoujun Li China 25 769 1.0× 430 0.7× 504 0.9× 372 0.9× 84 0.2× 151 2.3k
Bong‐Kyun Park South Korea 31 1.9k 2.5× 648 1.0× 1.8k 3.2× 407 1.0× 434 1.1× 119 3.7k
Elisa Crisci United States 19 595 0.8× 268 0.4× 596 1.0× 193 0.5× 183 0.5× 51 1.4k
Yuwei Gao China 27 1.2k 1.7× 785 1.2× 365 0.6× 562 1.3× 103 0.3× 156 3.0k

Countries citing papers authored by Jinding Chen

Since Specialization
Citations

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

Fields of papers citing papers by Jinding Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jinding Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Jinding Chen. A scholar is included among the top collaborators of Jinding Chen 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 Jinding Chen. Jinding Chen 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.
Chen, Wenxian, Xinyan Wang, Xiaowen Li, et al.. (2025). Foot-and-mouth disease virus activates glycolysis and hijacks HK2 to inhibit innate immunity and promote viral replication. Veterinary Research. 56(1). 71–71. 2 indexed citations
2.
Li, Yuwan, Weijun Zeng, Zixiang Zhu, et al.. (2025). Foot-and-mouth disease virus-like particle vaccine incorporating dominant T and B cell epitopes: enhanced immune response in piglets with CD154 molecules. Frontiers in Veterinary Science. 12. 1540102–1540102. 1 indexed citations
3.
Zhu, Zheng, Wenfeng Yang, Wei Huang, et al.. (2024). Interaction between Sea perch iridovirus (SPIV) infection and gut microbes in sea perch Lateolabrax japonicus. Aquaculture. 583. 740576–740576.
4.
Liu, Xueyi, Wen‐Kang Wei, Lin Yi, et al.. (2024). PKM2 induces mitophagy through the AMPK-mTOR pathway promoting CSFV proliferation. Journal of Virology. 98(3). e0175123–e0175123. 9 indexed citations
6.
Wan, Huan, et al.. (2023). Estimation of 3D Permeability from Pore Network Models Constructed Using 2D Thin-Section Images in Sandstone Reservoirs. Energies. 16(19). 6976–6976. 2 indexed citations
7.
Hu, Wenshuo, Weijun Wang, Xinyan Wang, et al.. (2023). Plasma metabonomics of classical swine fever virus-infected pigs. Frontiers in Veterinary Science. 10. 1171750–1171750. 1 indexed citations
8.
Deng, Shaofeng, Chen Pin, Yuwan Li, et al.. (2022). Viral Vector Vaccine Development and Application during the COVID-19 Pandemic. Microorganisms. 10(7). 1450–1450. 53 indexed citations
9.
Li, Yuwan, Yangyi Zhang, Yang Ruan, et al.. (2021). Preliminary Evaluation of Protective Efficacy of Inactivated Senecavirus A on Pigs. Life. 11(2). 157–157. 8 indexed citations
10.
Fan, Jindai, Chenchen Liu, Zhaoyao Li, et al.. (2021). Anti-Classical Swine Fever Virus Strategies. Microorganisms. 9(4). 761–761. 22 indexed citations
11.
Chen, Yuming, Shuangqi Fan, Keke Wu, et al.. (2020). MG132 Attenuates the Replication of Classical Swine Fever Virus in vitro. Frontiers in Microbiology. 11. 852–852. 8 indexed citations
12.
Fan, Shuangqi, Keke Wu, Dan Song, et al.. (2020). Dual NDP52 Function in Persistent CSFV Infection. Frontiers in Microbiology. 10. 2962–2962. 16 indexed citations
13.
Chen, Wenxian, Keke Wu, Dan Song, et al.. (2019). Serum Lipidomics Analysis of Classical Swine Fever Virus Infection in Piglets and Emerging Role of Free Fatty Acids in Virus Replication in vitro. Frontiers in Cellular and Infection Microbiology. 9. 410–410. 21 indexed citations
14.
Chen, Yuming, Erpeng Zhu, Shuangqi Fan, et al.. (2019). Important roles of C-terminal residues in degradation of capsid protein of classical swine fever virus. Virology Journal. 16(1). 127–127. 8 indexed citations
15.
Wang, Jiaying, Kim Stanford, Tim A. McAllister, et al.. (2016). Biofilm Formation, Virulence Gene Profiles, and Antimicrobial Resistance of Nine Serogroups of Non-O157 Shiga Toxin–Producing Escherichia coli. Foodborne Pathogens and Disease. 13(6). 316–324. 56 indexed citations
17.
Chen, Jinding. (2012). Determination of Vanillin,Vanillin Alcohol,Vanillin Acid and Ferulic Acid by Capillary Electrophoresis. Food Science.
18.
Wang, Bo, et al.. (2010). Establishment and application of a multiplex PCR assay for the detection of Brucella abortus and/or Mycobacterium bovis.. Journal of the South China Agricultural University. 31(4). 100–107. 1 indexed citations
19.
Zhu, Ru‐Yi, et al.. (2009). Molecular characterization of drug-resistant Mycobacterium tuberculosis isolates in Guangdong, China.. PubMed. 62(4). 270–4. 7 indexed citations
20.
Zhu, Ru‐Yi, et al.. (2009). Molecular Characterization of Drug-Resistant <i>Mycobacterium tuberculosis</i> Isolates in Guangdong, China. Japanese Journal of Infectious Diseases. 62(4). 270–274. 12 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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