Jinglin Ma

601 total citations
29 papers, 424 citations indexed

About

Jinglin Ma is a scholar working on Molecular Biology, Surgery and Electrical and Electronic Engineering. According to data from OpenAlex, Jinglin Ma has authored 29 papers receiving a total of 424 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 7 papers in Surgery and 4 papers in Electrical and Electronic Engineering. Recurrent topics in Jinglin Ma's work include Advanced Battery Materials and Technologies (4 papers), Advancements in Battery Materials (4 papers) and RNA modifications and cancer (3 papers). Jinglin Ma is often cited by papers focused on Advanced Battery Materials and Technologies (4 papers), Advancements in Battery Materials (4 papers) and RNA modifications and cancer (3 papers). Jinglin Ma collaborates with scholars based in China, Belgium and Hong Kong. Jinglin Ma's co-authors include Yayi Xia, Liping An, Yanrong Liu, Cheng Ji, Yongpeng Guo, Lihong Zhao, Qiugang Ma, Bin Geng, Shaobo Zhang and Jiang Jin and has published in prestigious journals such as Biochemical and Biophysical Research Communications, Carbohydrate Polymers and Frontiers in Immunology.

In The Last Decade

Jinglin Ma

28 papers receiving 414 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jinglin Ma China 15 187 92 70 57 50 29 424
Bowen Liu China 12 256 1.4× 67 0.7× 47 0.7× 65 1.1× 45 0.9× 27 514
Jia-Hui Huang China 9 217 1.2× 37 0.4× 77 1.1× 90 1.6× 34 0.7× 12 484
Weiwei Lin China 15 213 1.1× 42 0.5× 78 1.1× 18 0.3× 42 0.8× 32 430
Yajun Xie China 10 159 0.9× 28 0.3× 54 0.8× 49 0.9× 32 0.6× 30 348
Shumin Zhang China 11 115 0.6× 56 0.6× 22 0.3× 23 0.4× 56 1.1× 34 438
Sharaniza Ab‐Rahim Malaysia 15 202 1.1× 83 0.9× 86 1.2× 24 0.4× 46 0.9× 47 564
Chen Luo China 14 217 1.2× 76 0.8× 33 0.5× 24 0.4× 103 2.1× 33 466
Ziqi Yue China 12 243 1.3× 39 0.4× 59 0.8× 40 0.7× 51 1.0× 30 536
Yilu Wang China 16 314 1.7× 107 1.2× 115 1.6× 20 0.4× 41 0.8× 38 776
Sui Zhang United States 7 227 1.2× 228 2.5× 28 0.4× 107 1.9× 35 0.7× 9 585

Countries citing papers authored by Jinglin Ma

Since Specialization
Citations

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

Fields of papers citing papers by Jinglin Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jinglin Ma

This figure shows the co-authorship network connecting the top 25 collaborators of Jinglin Ma. A scholar is included among the top collaborators of Jinglin Ma 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 Jinglin Ma. Jinglin Ma 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.
Ma, Jinglin, et al.. (2023). Weighted gene co-expression network analysis identifies genes related to HG Type 0 resistance and verification of hub gene GmHg1. Frontiers in Plant Science. 13. 1118503–1118503. 6 indexed citations
2.
Zhang, Jıng, Yong Fang, Jinglin Ma, et al.. (2023). Yeast polysaccharide mitigated oxidative injury in broilers induced by mixed mycotoxins via regulating intestinal mucosal oxidative stress and hepatic metabolic enzymes. Poultry Science. 102(9). 102862–102862. 19 indexed citations
3.
Ma, Jinglin, Yan Zhuang, Ning Zhu, et al.. (2023). Update on new trend and progress of the mechanism of polycyclic aromatic hydrocarbon biodegradation by Rhodococcus, based on the new understanding of relevant theories: a review. Environmental Science and Pollution Research. 30(41). 93345–93362. 11 indexed citations
4.
Yang, Fengguang, Jinglin Ma, Daxue Zhu, et al.. (2023). The Role of S100A6 in Human Diseases: Molecular Mechanisms and Therapeutic Potential. Biomolecules. 13(7). 1139–1139. 14 indexed citations
5.
Yin, Yue, et al.. (2022). Pseudorabies virus-induced expression and antiviral activity of type I or type III interferon depend on the type of infected epithelial cell. Frontiers in Immunology. 13. 1016982–1016982. 5 indexed citations
6.
7.
Ma, Jinglin, et al.. (2020). Hypoxia‐responsive miR‐141–3p is involved in the progression of breast cancer via mediating the HMGB1/HIF‐1α signaling pathway. The Journal of Gene Medicine. 22(10). e3230–e3230. 21 indexed citations
8.
9.
Zhang, Bo, Liping An, Bin Geng, et al.. (2019). ERK5 negatively regulates Kruppel-like factor 4 and promotes osteogenic lineage cell proliferation in response to MEK5 overexpression or fluid shear stress. Connective Tissue Research. 62(2). 194–205. 10 indexed citations
10.
Zhang, Shaobo, Shenghong Wang, Hua Zhang, et al.. (2017). Clinical efficacy and safety of limited internal fixation combined with external fixation for Pilon fracture: A systematic review and meta-analysis. Chinese Journal of Traumatology. 20(2). 94–98. 14 indexed citations
11.
Zhang, Bo, Bin Geng, Jing Wang, et al.. (2016). Fluid shear stress promotes osteoblast proliferation via the Gαq–ERK5 signaling pathway. Connective Tissue Research. 57(4). 299–306. 18 indexed citations
12.
Geng, Bin, Bo Zhang, Jing Wang, et al.. (2016). Fluid shear stress suppresses TNF-α-induced apoptosis in MC3T3-E1 cells: Involvement of ERK5-AKT-FoxO3a-Bim/FasL signaling pathways. Experimental Cell Research. 343(2). 208–217. 33 indexed citations
13.
Geng, Bin, Bo Zhang, Jing Wang, et al.. (2015). Fluid shear stress inhibits TNF-α-induced osteoblast apoptosis via ERK5 signaling pathway. Biochemical and Biophysical Research Communications. 466(1). 117–123. 22 indexed citations
14.
Zhang, Shaobo, et al.. (2015). Efficacy and safety of etoricoxib compared with NSAIDs in acute gout: a systematic review and a meta-analysis. Clinical Rheumatology. 35(1). 151–158. 36 indexed citations
15.
16.
Wang, Jing, et al.. (2014). [Primary study on tissue engineered periosteum osteogenesis to repair scapula defect in vivo in allogenic rabbit].. PubMed. 28(3). 384–8. 1 indexed citations
17.
Zhao, Lianggong, Yuanjun Teng, Liping An, et al.. (2013). The MEK5/ERK5 pathway mediates fluid shear stress promoted osteoblast differentiation. Connective Tissue Research. 55(2). 96–102. 22 indexed citations
18.
Teng, Yuanjun, Jin Jiang, Xuren Gao, et al.. (2012). Subvastus Versus Medial Parapatellar Approach in Total Knee Arthroplasty: Meta-analysis. Orthopedics. 35(12). e1722–31. 24 indexed citations
19.
Wang, Yiqing, Jinglin Ma, Quan Fang, et al.. (2010). Neuropeptide FF receptor antagonist, RF9, attenuates the fever induced by central injection of LPS in mice. Peptides. 32(4). 702–706. 14 indexed citations
20.
Hu, Weiguo, Bo Feng, Mark Beveridge, et al.. (2007). Vascular Endothelial Growth Factors C and D Represent Novel Prognostic Markers in Colorectal Carcinoma Using Quantitative Image Analysis. European Surgical Research. 39(4). 229–238. 26 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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