Minghong Jiang

2.6k total citations
44 papers, 2.0k citations indexed

About

Minghong Jiang is a scholar working on Molecular Biology, Immunology and Cancer Research. According to data from OpenAlex, Minghong Jiang has authored 44 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Molecular Biology, 21 papers in Immunology and 17 papers in Cancer Research. Recurrent topics in Minghong Jiang's work include interferon and immune responses (11 papers), MicroRNA in disease regulation (8 papers) and Cancer-related molecular mechanisms research (8 papers). Minghong Jiang is often cited by papers focused on interferon and immune responses (11 papers), MicroRNA in disease regulation (8 papers) and Cancer-related molecular mechanisms research (8 papers). Minghong Jiang collaborates with scholars based in China, United States and Croatia. Minghong Jiang's co-authors include Xuetao Cao, Shuo Liu, Yuanwu Ma, Lianfeng Zhang, Lun Liu, Zongheng Yang, Wei Liu, Daru Lu, Wendie Wang and Hongyu Lin and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Minghong Jiang

42 papers receiving 2.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Minghong Jiang China 23 1.1k 838 732 296 259 44 2.0k
Pascale V. Nantermet United States 12 972 0.9× 796 0.9× 684 0.9× 274 0.9× 214 0.8× 14 2.3k
Joanna Wesoły Poland 27 1.0k 0.9× 941 1.1× 293 0.4× 520 1.8× 157 0.6× 67 2.2k
Chaofeng Han China 25 1.2k 1.1× 1.6k 1.9× 330 0.5× 281 0.9× 310 1.2× 48 2.7k
Leonard B. Maggi United States 22 1.9k 1.7× 1.3k 1.6× 633 0.9× 699 2.4× 294 1.1× 38 3.2k
Meztli Arguello Canada 16 958 0.9× 884 1.1× 311 0.4× 355 1.2× 286 1.1× 20 1.9k
Claire E. McCoy Ireland 22 1.4k 1.2× 842 1.0× 1.2k 1.6× 201 0.7× 204 0.8× 35 2.5k
M. Karen Newell United States 21 1.0k 0.9× 1.5k 1.8× 217 0.3× 283 1.0× 324 1.3× 34 2.6k
Jean Lozach United States 14 1.2k 1.1× 531 0.6× 322 0.4× 277 0.9× 126 0.5× 15 1.9k
Christopher D. Scharer United States 28 1.3k 1.2× 1.4k 1.7× 316 0.4× 474 1.6× 189 0.7× 91 2.7k
Hiromi Takaki Japan 23 657 0.6× 851 1.0× 164 0.2× 493 1.7× 251 1.0× 46 1.8k

Countries citing papers authored by Minghong Jiang

Since Specialization
Citations

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

Fields of papers citing papers by Minghong Jiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Minghong Jiang

This figure shows the co-authorship network connecting the top 25 collaborators of Minghong Jiang. A scholar is included among the top collaborators of Minghong 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 Minghong Jiang. Minghong 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.
Jiang, Minghong, et al.. (2025). X2 ‐ PEC : A Neural Network Model Based on Atomic Pair Energy Corrections. Journal of Computational Chemistry. 46(8). e70081–e70081.
2.
Jiang, Minghong, et al.. (2024). Design and synthesis of novel insecticidal 3-isothiazolols as potential antagonists of insect GABA receptors. New Journal of Chemistry. 48(14). 6407–6419. 1 indexed citations
3.
Jiang, Minghong, et al.. (2024). X2-GNN: A Physical Message Passing Neural Network with Natural Generalization Ability to Large and Complex Molecules. The Journal of Physical Chemistry Letters. 15(51). 12501–12512. 3 indexed citations
4.
Liu, Wei, Yuyang Wang, Shuo Liu, et al.. (2024). E3 Ubiquitin Ligase RNF13 Suppresses TLR Lysosomal Degradation by Promoting LAMP‐1 Proteasomal Degradation. Advanced Science. 11(32). e2309560–e2309560. 7 indexed citations
5.
6.
Jiang, Xu, Xinyue Xiao, Hao Li, et al.. (2023). Oxidized galectin-1 in SLE fails to bind the inhibitory receptor VSTM1 and increases reactive oxygen species levels in neutrophils. Cellular and Molecular Immunology. 20(11). 1339–1351. 11 indexed citations
7.
Zhou, Yumei, Yuyang Wang, Yue Xu, et al.. (2022). RNA-binding protein hnRNP UL1 binds κB sites to attenuate NF-κB-mediated inflammation. Journal of Autoimmunity. 129. 102828–102828. 17 indexed citations
8.
Liu, Shuo, Jiaqi Liu, Xue Yang, et al.. (2021). Cis -acting lnc-Cxcl2 restrains neutrophil-mediated lung inflammation by inhibiting epithelial cell CXCL2 expression in virus infection. Proceedings of the National Academy of Sciences. 118(41). 33 indexed citations
9.
Lin, Hongyu, Minghong Jiang, Lun Liu, et al.. (2019). The long noncoding RNA Lnczc3h7a promotes a TRIM25-mediated RIG-I antiviral innate immune response. Nature Immunology. 20(7). 812–823. 143 indexed citations
10.
Liu, Shuo, et al.. (2019). E3 ubiquitin ligase RNF170 inhibits innate immune responses by targeting and degrading TLR3 in murine cells. Cellular and Molecular Immunology. 17(8). 865–874. 18 indexed citations
11.
Jiang, Minghong, et al.. (2018). Genetic characterization of a novel group of avastroviruses in geese. Transboundary and Emerging Diseases. 65(4). 927–932. 35 indexed citations
12.
Liu, Shuo, Minghong Jiang, Wendie Wang, et al.. (2017). Nuclear RNF2 inhibits interferon function by promoting K33-linked STAT1 disassociation from DNA. Nature Immunology. 19(1). 41–52. 58 indexed citations
13.
Liu, Dan, Dongsheng Wang, Jing Gao, et al.. (2015). Dysregulated expression of miR-101b and miR-26b lead to age-associated increase in LPS-induced COX-2 expression in murine macrophage. AGE. 37(5). 97–97. 14 indexed citations
14.
15.
Yao, Zhenyu, Qian Zhang, Xia Li, et al.. (2014). Death Domain-associated Protein 6 (Daxx) Selectively Represses IL-6 Transcription through Histone Deacetylase 1 (HDAC1)-mediated Histone Deacetylation in Macrophages. Journal of Biological Chemistry. 289(13). 9372–9379. 27 indexed citations
16.
Liu, Zheng, Minghong Jiang, Yaxi Zhang, et al.. (2012). Adeno-associated virus-mediated doxycycline-regulatable TRAIL expression suppresses growth of human breast carcinoma in nude mice. BMC Cancer. 12(1). 153–153. 12 indexed citations
17.
Jiang, Minghong, Yang Xiang, Dongsheng Wang, et al.. (2011). Dysregulated expression of miR‐146a contributes to age‐related dysfunction of macrophages. Aging Cell. 11(1). 29–40. 90 indexed citations
18.
Jiang, Minghong, Lin Chen, Linfang Li, et al.. (2009). A GUTLESS ADENOVIRAL VECTOR EXPRESSING FULL‐LENGTH ANTI‐Her2 ANTIBODY. Clinical and Experimental Pharmacology and Physiology. 36(9). e26–31. 3 indexed citations
19.
Jiang, Minghong, Wenfang Shi, Qi Zhang, et al.. (2006). Gene Therapy Using Adenovirus-Mediated Full-length Anti-HER-2 Antibody for HER-2 Overexpression Cancers. Clinical Cancer Research. 12(20). 6179–6185. 42 indexed citations
20.
Jiang, Minghong, Qin Yang, Yuemin Li, et al.. (2004). [Gene therapy for ovarian cancers by adenovirus-mediated complete antibody gene].. PubMed. 84(14). 1147–51. 5 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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