Jing Jiang

3.3k total citations · 1 hit paper
73 papers, 2.3k citations indexed

About

Jing Jiang is a scholar working on Molecular Biology, Plant Science and Cancer Research. According to data from OpenAlex, Jing Jiang has authored 73 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Molecular Biology, 31 papers in Plant Science and 9 papers in Cancer Research. Recurrent topics in Jing Jiang's work include Plant Molecular Biology Research (12 papers), CRISPR and Genetic Engineering (10 papers) and Plant Stress Responses and Tolerance (10 papers). Jing Jiang is often cited by papers focused on Plant Molecular Biology Research (12 papers), CRISPR and Genetic Engineering (10 papers) and Plant Stress Responses and Tolerance (10 papers). Jing Jiang collaborates with scholars based in China, United States and Germany. Jing Jiang's co-authors include Cheng‐Guo Duan, Jian‐Kang Zhu, Yanan Chang, Huiming Zhang, Chen Zhu, Michael Basler, Tony Muchamuel, Christopher J. Kirk, Marcus Groettrup and Mark K. Bennett and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Nature Medicine.

In The Last Decade

Jing Jiang

70 papers receiving 2.2k citations

Hit Papers

Epigenetic regulation in plant abiotic stress responses 2019 2026 2021 2023 2019 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jing Jiang China 21 1.5k 740 358 307 204 73 2.3k
Brendan P. Eckelman United States 14 1.3k 0.9× 521 0.7× 393 1.1× 317 1.0× 208 1.0× 24 2.1k
Vinagolu K. Rajasekhar United States 27 1.8k 1.3× 991 1.3× 433 1.2× 650 2.1× 251 1.2× 52 3.2k
Kyunghwan Kim South Korea 27 1.5k 1.0× 479 0.6× 123 0.3× 236 0.8× 236 1.2× 76 2.1k
Miao Sun China 18 1.1k 0.7× 263 0.4× 180 0.5× 309 1.0× 293 1.4× 54 1.9k
Maria A. Lebedeva Russia 19 1.1k 0.8× 530 0.7× 194 0.5× 111 0.4× 175 0.9× 70 1.8k
Chee‐Hong Wong United States 24 1.8k 1.2× 300 0.4× 321 0.9× 281 0.9× 455 2.2× 41 2.5k
J. Kim United States 15 1.9k 1.3× 484 0.7× 154 0.4× 331 1.1× 189 0.9× 25 2.5k
Michael R. O’Dell United States 30 1.8k 1.3× 1.7k 2.3× 211 0.6× 299 1.0× 197 1.0× 50 3.4k
Raffaella Santoro Switzerland 30 2.8k 1.9× 313 0.4× 220 0.6× 468 1.5× 488 2.4× 61 3.2k
Tomer Meir Salame Israel 18 1.2k 0.8× 324 0.4× 215 0.6× 174 0.6× 159 0.8× 26 1.7k

Countries citing papers authored by Jing Jiang

Since Specialization
Citations

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

Fields of papers citing papers by Jing Jiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jing Jiang

This figure shows the co-authorship network connecting the top 25 collaborators of Jing Jiang. A scholar is included among the top collaborators of Jing 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 Jing Jiang. Jing 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.
Xu, Yan‐Ming, et al.. (2025). NLRC3 regulates RIP2, STING, TBK1, and TRAF6 mediated type I IFN signaling and inflammatory response in large yellow croaker Larimichthys crocea. Fish & Shellfish Immunology. 162. 110351–110351. 2 indexed citations
2.
Wu, Tao, et al.. (2025). The circRNA-mediated ceRNA molecular regulatory network in fatigue-type type 2 diabete. Journal of Translational Medicine. 23(1). 973–973.
3.
Jiang, Jing, et al.. (2025). CpG ODN Combined with Gold Nanorods Enhances Immune Activation and Its Potential Mechanism. Journal of Inflammation Research. Volume 18. 12089–12103. 1 indexed citations
4.
Qiu, Lingling, Lei Chen, Jing Jiang, et al.. (2024). Iron‐Confined CRISPR/Cas9‐Ribonucleoprotein Delivery System for Redox‐Responsive Gene Editing. Small. 20(30). e2309431–e2309431. 4 indexed citations
6.
Chen, Geng, et al.. (2023). Activation of Gossypium hirsutum ACS6 Facilitates Fiber Development by Improving Sucrose Metabolism and Transport. Plants. 12(20). 3530–3530. 2 indexed citations
7.
8.
Li, Zhifang, et al.. (2022). Effect of 1-aminocyclopropane-1-carboxylic acid accumulation on Verticillium dahliae infection of upland cotton. BMC Plant Biology. 22(1). 386–386. 8 indexed citations
9.
Lin, Juncheng, Huawei Xu, Junyu Chen, et al.. (2021). Intragenic heterochromatin‐mediated alternative polyadenylation modulates miRNA and pollen development in rice. New Phytologist. 232(2). 835–852. 20 indexed citations
10.
Zhang, Yizhe, Jianlong Yuan, Lingrui Zhang, et al.. (2020). Coupling of H3K27me3 recognition with transcriptional repression through the BAH-PHD-CPL2 complex in Arabidopsis. Nature Communications. 11(1). 6212–6212. 44 indexed citations
11.
Yu, Jiali, et al.. (2019). Selection of elite transgenic lines of BpGH3.5 in Betula platyphylla.. Beijing Linye Daxue xuebao. 41(9). 81–89.
12.
Liang, Jing, et al.. (2016). A One-Step System for Convenient and Flexible Assembly of Transcription Activator-Like Effector Nucleases (TALENs). Molecules and Cells. 39(9). 687–691. 4 indexed citations
13.
Zhao, Botao, Dehua Yang, Jing Jiang, et al.. (2014). Genome-wide mapping of miRNAs expressed in embryonic stem cells and pluripotent stem cells generated by different reprogramming strategies. BMC Genomics. 15(1). 488–488. 17 indexed citations
14.
Li, Jian, et al.. (2010). Expression of eIF1A gene in transgenic Populus davidiana × P. bolleana and its salt tolerance.. Dongbei linye daxue xuebao. 38(1). 12–27. 1 indexed citations
15.
Gao, Caiqiu, Guifeng Liu, Yucheng Wang, Jing Jiang, & Chuanping Yang. (2010). Cloning and Analysis of Dirigent-like Protein in Gene from Tamarix androssowii. Zhiwu yanjiu. 30(1). 81–86. 7 indexed citations
16.
Jiang, Jing, et al.. (2010). Sequence analysis and salt tolerance of rd22 gene from Tamarix androssowii. Journal of Northwest A&F University. 38(6). 95–101. 2 indexed citations
17.
Wang, Zibing, Jing Jiang, Zhiguang Li, et al.. (2010). A Myeloid Cell Population Induced by Freund Adjuvant Suppresses T-cell−mediated Antitumor Immunity. Journal of Immunotherapy. 33(2). 167–177. 29 indexed citations
18.
Jiang, Jing, Jing Zhou, Yin Chen, et al.. (2009). Expressed salt stress induced full length-cDNA library of Salix matsudana using yeast Invsc1.. Zhejiang Linxueyuan xuebao. 26(4). 473–478. 1 indexed citations
19.
Li, Yuzhu, et al.. (2009). Growth manifestation of transgenic Populus simonii × P. nigra with betA gene on low-grade salinate fields.. Dongbei linye daxue xuebao. 37(11). 24–28. 1 indexed citations
20.
Li, Zhiguang, Jing Jiang, Zibing Wang, et al.. (2008). Endogenous Interleukin-4 Promotes Tumor Development by Increasing Tumor Cell Resistance to Apoptosis. Cancer Research. 68(21). 8687–8694. 91 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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