Menglin Jiang

766 total citations
25 papers, 555 citations indexed

About

Menglin Jiang is a scholar working on Molecular Biology, Pharmacology and Pathology and Forensic Medicine. According to data from OpenAlex, Menglin Jiang has authored 25 papers receiving a total of 555 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 7 papers in Pharmacology and 7 papers in Pathology and Forensic Medicine. Recurrent topics in Menglin Jiang's work include Drug-Induced Adverse Reactions (7 papers), Autoimmune Bullous Skin Diseases (5 papers) and Urticaria and Related Conditions (3 papers). Menglin Jiang is often cited by papers focused on Drug-Induced Adverse Reactions (7 papers), Autoimmune Bullous Skin Diseases (5 papers) and Urticaria and Related Conditions (3 papers). Menglin Jiang collaborates with scholars based in China, United States and United Kingdom. Menglin Jiang's co-authors include Yu Fan, Na Fang, Dandan Gong, Na Fang, Chen Zou, Xin Jin, Yuehua Chen, Quanyin Hu, Jun Chen and Ting Kang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Biomaterials and Scientific Reports.

In The Last Decade

Menglin Jiang

24 papers receiving 548 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Menglin Jiang China 11 166 122 74 67 67 25 555
Jue Wang China 17 130 0.8× 341 2.8× 94 1.3× 23 0.3× 46 0.7× 60 939
Fan Cao China 16 26 0.2× 153 1.3× 95 1.3× 15 0.2× 152 2.3× 32 841
Zhong Chen China 13 143 0.9× 80 0.7× 83 1.1× 20 0.3× 52 0.8× 35 733
Pang Yao China 13 35 0.2× 224 1.8× 113 1.5× 15 0.2× 40 0.6× 44 789
Wen‐Chin Ko Taiwan 16 196 1.2× 139 1.1× 48 0.6× 25 0.4× 62 0.9× 40 616
Ran Tao China 14 56 0.3× 178 1.5× 108 1.5× 13 0.2× 27 0.4× 52 705
Jorge M. Luna United States 10 60 0.4× 107 0.9× 182 2.5× 45 0.7× 94 1.4× 18 529
Jia Zhou China 16 190 1.1× 157 1.3× 96 1.3× 28 0.4× 31 0.5× 68 721

Countries citing papers authored by Menglin Jiang

Since Specialization
Citations

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

Fields of papers citing papers by Menglin Jiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Menglin Jiang

This figure shows the co-authorship network connecting the top 25 collaborators of Menglin Jiang. A scholar is included among the top collaborators of Menglin 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 Menglin Jiang. Menglin 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, Menglin, Lin He, Guangxu Ma, et al.. (2025). Ginsenoside F3 alleviates T cell exhaustion via RIPOR2-mediated immunometabolic reprogramming to potentiate anti-PD-1 therapy. Phytomedicine. 150. 157649–157649.
2.
Zhou, Na, Menglin Jiang, Tu-Liang Liang, et al.. (2025). Immunometabolism and oxidative stress: roles and therapeutic strategies in cancer and aging. PubMed. 11(1). 59–59. 3 indexed citations
3.
Jiang, Menglin, Lina Wang, Ting Wang, et al.. (2023). An association study of HLA with levofloxacin-induced severe cutaneous adverse drug reactions in Han Chinese. iScience. 26(8). 107391–107391. 4 indexed citations
4.
5.
Jin, Xin, Menglin Jiang, Zhao‐Hui Wu, & Yu Fan. (2019). Progress of Individualized Chemotherapy for Gastric Carcinoma Under the Guidance of Genetic Testing. Current Medicinal Chemistry. 27(14). 2322–2334. 7 indexed citations
6.
Zhu, Qinyuan, Yanzhou Zhang, Jiekun Xuan, et al.. (2019). HLA-A*02:01 allele is associated with tanshinone-induced cutaneous drug reactions in Chinese population. The Pharmacogenomics Journal. 20(3). 408–414. 2 indexed citations
7.
Jiang, Xiaomeng, Menglin Jiang, Min Xu, Jing Xu, & Yi Li. (2019). Identification of diagnostic utility and molecular mechanisms of circulating miR-551b-5p in gastric cancer. Pathology - Research and Practice. 215(5). 900–904. 11 indexed citations
8.
Yan, Sijia, Fengmin Shao, Wen Zhang, et al.. (2018). HLA-C*12:02 is strongly associated with Xuesaitong-induced cutaneous adverse drug reactions. The Pharmacogenomics Journal. 19(3). 277–285. 5 indexed citations
9.
Jin, Xin, Menglin Jiang, Dandan Gong, Yuehua Chen, & Yu Fan. (2018). Efficacy and Safety of Xiaoyao Formula as an Adjuvant Treatment for Post-Stroke Depression: A Meta-Analysis. EXPLORE. 14(3). 224–229. 19 indexed citations
10.
Jiang, Menglin, et al.. (2018). Association between HLA-B*46:01 and cutaneous adverse drug reactions in Han Chinese. SHILAP Revista de lepidopterología. 1(2). 73–78. 2 indexed citations
11.
Fan, Yu, Xin Jin, Menglin Jiang, & Na Fang. (2017). Elevated serum alkaline phosphatase and cardiovascular or all-cause mortality risk in dialysis patients: A meta-analysis. Scientific Reports. 7(1). 13224–13224. 31 indexed citations
12.
Yan, Sijia, Yulan Lu, Lin He, et al.. (2017). Dynamic Editome of Zebrafish under Aminoglycosides Treatment and Its Potential Involvement in Ototoxicity. Frontiers in Pharmacology. 8. 854–854. 3 indexed citations
13.
Fang, Na, Menglin Jiang, & Yu Fan. (2016). Ideal cardiovascular health metrics and risk of cardiovascular disease or mortality: A meta-analysis. International Journal of Cardiology. 214. 279–283. 144 indexed citations
14.
Yan, Sijia, Wen Zhang, Ying Yang, et al.. (2016). HLA-A*02 alleles are associated with tetanus antitoxin-induced exanthematous drug eruptions in Chinese patients. Pharmacogenetics and Genomics. 26(12). 538–546. 6 indexed citations
15.
Jiang, Menglin, Dandan Gong, & Yu Fan. (2016). Elevated fibroblast growth factor-23 and risk of cardiovascular disease or mortality in the general population: A meta-analysis. International Journal of Cardiology. 222. 342–345. 6 indexed citations
16.
Fan, Yu, Menglin Jiang, Dandan Gong, & Chen Zou. (2016). Efficacy and safety of low-molecular-weight heparin in patients with sepsis: a meta-analysis of randomized controlled trials. Scientific Reports. 6(1). 25984–25984. 53 indexed citations
17.
Jiang, Menglin, Dandan Gong, & Yu Fan. (2016). Serum uric acid levels and risk of prehypertension: a meta-analysis. Clinical Chemistry and Laboratory Medicine (CCLM). 55(3). 314–321. 13 indexed citations
18.
Fang, Na, Menglin Jiang, & Yu Fan. (2016). Association Between Psoriasis and Subclinical Atherosclerosis. Medicine. 95(20). e3576–e3576. 42 indexed citations
19.
Pang, Zhiqing, Peicheng Xu, Jingjing Zhao, et al.. (2014). Local delivery of minocycline-loaded PEG-PLA nanoparticles for the enhanced treatment of periodontitis in dogs. International Journal of Nanomedicine. 9. 3963–3963. 57 indexed citations
20.
Gu, Guangzhi, Quanyin Hu, Xingye Feng, et al.. (2014). PEG-PLA nanoparticles modified with APTEDB peptide for enhanced anti-angiogenic and anti-glioma therapy. Biomaterials. 35(28). 8215–8226. 84 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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