Fengjuan Jiang

743 total citations
43 papers, 521 citations indexed

About

Fengjuan Jiang is a scholar working on Immunology, Molecular Biology and Oncology. According to data from OpenAlex, Fengjuan Jiang has authored 43 papers receiving a total of 521 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Immunology, 16 papers in Molecular Biology and 6 papers in Oncology. Recurrent topics in Fengjuan Jiang's work include Aquaculture disease management and microbiota (7 papers), Vibrio bacteria research studies (5 papers) and Multiple Myeloma Research and Treatments (5 papers). Fengjuan Jiang is often cited by papers focused on Aquaculture disease management and microbiota (7 papers), Vibrio bacteria research studies (5 papers) and Multiple Myeloma Research and Treatments (5 papers). Fengjuan Jiang collaborates with scholars based in China, Egypt and Taiwan. Fengjuan Jiang's co-authors include Baozhong Liu, Xin Yue, Hongxia Wang, Shujing Zhang, Qingfeng Pang, Yaxian Wu, Hongxia Wang, Zhaoyun Liu, Zhiqi Gao and Zhong Xu and has published in prestigious journals such as SHILAP Revista de lepidopterología, Free Radical Biology and Medicine and International Journal of Molecular Sciences.

In The Last Decade

Fengjuan Jiang

37 papers receiving 512 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fengjuan Jiang China 13 215 165 64 63 54 43 521
Chunyan Wang China 17 296 1.4× 288 1.7× 11 0.2× 81 1.3× 12 0.2× 42 765
Qi Yao China 15 179 0.8× 83 0.5× 13 0.2× 50 0.8× 67 1.2× 54 540
Weiwei He China 18 169 0.8× 79 0.5× 18 0.3× 40 0.6× 11 0.2× 50 778
Xiongfei Wu China 15 148 0.7× 148 0.9× 16 0.3× 66 1.0× 127 2.4× 29 561
Regina Michelis Israel 13 213 1.0× 93 0.6× 24 0.4× 20 0.3× 155 2.9× 26 818
Yufeng Liu China 10 153 0.7× 155 0.9× 9 0.1× 25 0.4× 107 2.0× 48 554
Gloria Milanesi Italy 16 170 0.8× 42 0.3× 43 0.7× 34 0.5× 10 0.2× 38 593
Hyunju Ro South Korea 16 485 2.3× 88 0.5× 14 0.2× 83 1.3× 43 0.8× 60 859
Valentina Paracchini Italy 16 301 1.4× 52 0.3× 9 0.1× 53 0.8× 5 0.1× 32 825
Bo Young Jeong South Korea 13 156 0.7× 48 0.3× 65 1.0× 35 0.6× 123 2.3× 21 453

Countries citing papers authored by Fengjuan Jiang

Since Specialization
Citations

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

Fields of papers citing papers by Fengjuan Jiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fengjuan Jiang

This figure shows the co-authorship network connecting the top 25 collaborators of Fengjuan Jiang. A scholar is included among the top collaborators of Fengjuan 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 Fengjuan Jiang. Fengjuan 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, Fengjuan, Yunhe Zhang, Hui Liu, et al.. (2025). Complement C3a promotes the formation of osteoclasts by inhibiting Sirt1 to activate the PI3K/PDK1/SGK3 pathway in patients with multiple myeloma. Journal of Translational Medicine. 23(1). 338–338. 1 indexed citations
2.
3.
Liu, Zhaoyun, Fengjuan Jiang, Hao Wang, et al.. (2025). T-lymphocytes suppression by CD14+ monocytes with high expression of ULK2 in patients with multiple myeloma. Journal of Translational Medicine. 23(1). 511–511. 2 indexed citations
4.
Wang, Hao, Jia Song, Yan Shi, et al.. (2025). Kaempferol induces mitophagy and disrupts iron metabolism via SFXN2 leading to apoptosis in multiple myeloma cells. Free Radical Biology and Medicine. 240. 139–152.
5.
Liu, Jintao, Shuhao Wang, Xinyuan Dai, et al.. (2025). BPA disrupts crustacean reproduction: Tissue-specific accumulation, oxidative stress, and gene dysregulation in Macrobrachium nipponense. Aquatic Toxicology. 287. 107538–107538.
6.
7.
Zhang, Yuanke, Fan Xu, Rui Zhang, et al.. (2024). Side Information-Assisted Low-Dose CT Reconstruction. IEEE Transactions on Computational Imaging. 10. 1080–1093. 1 indexed citations
8.
Sun, Jiaojiao, Dapeng Liu, Shengpeng Li, et al.. (2024). Deletion of BTB and CNC Homology 1 Protects Against Staphylococcus aureus–Induced Acute Lung Injury. The Journal of Infectious Diseases. 231(3). 734–745. 1 indexed citations
9.
Sun, Jiaojiao, Gang Liu, Yuan Weng, et al.. (2023). Nrf2/PHB2 alleviates mitochondrial damage and protects against Staphylococcus aureus‐induced acute lung injury. SHILAP Revista de lepidopterología. 4(6). e448–e448. 10 indexed citations
10.
Wang, Xiaoqian, et al.. (2022). The Association Between Circulating Trans Fatty Acids and Thyroid Function Measures in U.S. Adults. Frontiers in Endocrinology. 13. 928730–928730. 2 indexed citations
11.
Zhao, Weihong, Qingqing Yan, Bin Geng, et al.. (2021). Isolation, identification and pathogenic mechanism analysis of a Bacillus strain from Macrobrachium nipponense with red hepatopancreas. Aquaculture Research. 53(3). 1159–1165.
12.
Wu, Yaxian, Yingying Wang, Zhiqi Gao, et al.. (2021). Ethyl ferulate protects against lipopolysaccharide-induced acute lung injury by activating AMPK/Nrf2 signaling pathway. Acta Pharmacologica Sinica. 42(12). 2069–2081. 44 indexed citations
13.
Li, Yuan, Xiaoqian Wang, Fengjuan Jiang, et al.. (2021). Serum lipid levels in relation to clinical outcomes in pregnant women with gestational diabetes mellitus: an observational cohort study. Lipids in Health and Disease. 20(1). 125–125. 18 indexed citations
14.
Jiang, Fengjuan, Hui Liu, Zhaoyun Liu, et al.. (2021). Complement C3a activates osteoclasts by regulating the PI3K/PDK1/SGK3 pathway in patients with multiple myeloma. Cancer Biology and Medicine. 18(3). 721–733. 7 indexed citations
15.
Zhang, Shujing, Hongxia Wang, Jiajia Yu, et al.. (2018). Identification of a gene encoding microphthalmia-associated transcription factor and its association with shell color in the clam Meretrix petechialis. Comparative Biochemistry and Physiology Part B Biochemistry and Molecular Biology. 225. 75–83. 29 indexed citations
16.
Jiang, Fengjuan, et al.. (2018). The Effect and Safety of Bortezomib in the Treatment of AL Amyloidosis: A Systematic Review and Meta-Analysis. Indian Journal of Hematology and Blood Transfusion. 34(2). 216–226. 8 indexed citations
17.
Zhang, Shujing, Xin Yue, Fengjuan Jiang, Hongxia Wang, & Baozhong Liu. (2017). Identification of an MITF gene and its polymorphisms associated with the Vibrio resistance trait in the clam Meretrix petechialis. Fish & Shellfish Immunology. 68. 466–473. 22 indexed citations
18.
Liu, Hui, Zhaoyun Liu, Fengjuan Jiang, et al.. (2016). CYR61/CCN1 stimulates proliferation and differentiation of osteoblasts in vitro and contributes to bone remodelling in vivo in myeloma bone disease. International Journal of Oncology. 50(2). 631–639. 26 indexed citations
19.
Chen, Guofu, Chunyun Zhang, Fengjuan Jiang, et al.. (2014). Bioinformatics analysis of hemocyte miRNAs of scallop Chlamys farreri against acute viral necrobiotic virus (AVNV). Fish & Shellfish Immunology. 37(1). 75–86. 40 indexed citations
20.

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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