Lingling Jiang

686 total citations
31 papers, 527 citations indexed

About

Lingling Jiang is a scholar working on Molecular Biology, Epidemiology and Health, Toxicology and Mutagenesis. According to data from OpenAlex, Lingling Jiang has authored 31 papers receiving a total of 527 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 5 papers in Epidemiology and 4 papers in Health, Toxicology and Mutagenesis. Recurrent topics in Lingling Jiang's work include Zebrafish Biomedical Research Applications (4 papers), Hearing, Cochlea, Tinnitus, Genetics (4 papers) and Antimicrobial Peptides and Activities (3 papers). Lingling Jiang is often cited by papers focused on Zebrafish Biomedical Research Applications (4 papers), Hearing, Cochlea, Tinnitus, Genetics (4 papers) and Antimicrobial Peptides and Activities (3 papers). Lingling Jiang collaborates with scholars based in China, United States and Taiwan. Lingling Jiang's co-authors include Kang Li, Ming‐Fang He, Zhiheng He, Hong Zheng, Jianying Li, Ping Wei, Zhuo Lv, Gang Liu, Yun Zeng and Donglin Yan and has published in prestigious journals such as Journal of Agricultural and Food Chemistry, Scientific Reports and Chemosphere.

In The Last Decade

Lingling Jiang

29 papers receiving 521 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lingling Jiang China 12 116 97 88 67 58 31 527
Xu Tang China 17 301 2.6× 95 1.0× 23 0.3× 115 1.7× 83 1.4× 66 1.1k
Xiao‐Ying Yuan China 15 190 1.6× 63 0.6× 24 0.3× 59 0.9× 45 0.8× 58 865
Nguyễn Đình Thắng Vietnam 13 228 2.0× 104 1.1× 19 0.2× 22 0.3× 34 0.6× 32 593
Yiwen Xu China 15 150 1.3× 224 2.3× 45 0.5× 28 0.4× 58 1.0× 31 730
Uli Osterwalder Switzerland 19 61 0.5× 180 1.9× 11 0.1× 48 0.7× 56 1.0× 39 1.3k
M. Dulce Geraldo Portugal 12 121 1.0× 64 0.7× 41 0.5× 116 1.7× 52 0.9× 39 711
Joel Commisso United States 8 61 0.5× 87 0.9× 56 0.6× 21 0.3× 152 2.6× 10 592
Gérard Jarry France 6 47 0.4× 90 0.9× 72 0.8× 35 0.5× 44 0.8× 8 374
Suman Kumar Singh India 19 165 1.4× 63 0.6× 22 0.3× 69 1.0× 31 0.5× 45 1.1k
Kang Li China 17 260 2.2× 235 2.4× 57 0.6× 91 1.4× 90 1.6× 48 1.0k

Countries citing papers authored by Lingling Jiang

Since Specialization
Citations

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

Fields of papers citing papers by Lingling Jiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lingling Jiang

This figure shows the co-authorship network connecting the top 25 collaborators of Lingling Jiang. A scholar is included among the top collaborators of Lingling 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 Lingling Jiang. Lingling 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.
Li, Jie, et al.. (2025). Identifying preeclampsia-associated key module and hub genes via weighted gene co-expression network analysis. Scientific Reports. 15(1). 1364–1364. 1 indexed citations
2.
Liu, Haiyun, et al.. (2025). Prognostic value of TAPSE in patients with septic cardiomyopathy: a retrospective observational cohort study. Frontiers in Medicine. 12. 1632964–1632964.
3.
Yu, Ming, et al.. (2025). Analysis of the current situation and influencing factors of nurse change fatigue. Frontiers in Public Health. 13. 1566534–1566534. 1 indexed citations
4.
Weng, Cuilian, et al.. (2025). Comparison of rhythm and rate control medications for new-onset atrial fibrillation in septic patients: MIMIC-IV database analysis. Journal of Translational Medicine. 23(1). 512–512. 1 indexed citations
5.
Jiang, Lingling, et al.. (2025). Estimating primary production in the California Current System using machine learning methods. Estuarine Coastal and Shelf Science. 318. 109243–109243.
6.
Jiang, Lingling, et al.. (2024). Methods for detecting green tide in the Yellow Sea using Google Earth Engine platform. Regional Studies in Marine Science. 77. 103666–103666. 4 indexed citations
7.
Jiang, Lingling, Yuanyuan Zhu, Liu­xin Wu, et al.. (2024). Comparative peptidomics analysis of preeclamptic placenta and the identification of a novel bioactive SERPINA1 C-terminal peptide. Reproductive Biology. 24(1). 100858–100858. 2 indexed citations
8.
Zhao, Jing, et al.. (2023). Dynamic nomogram for predicting acute kidney injury in patients with community-acquired pneumonia. BMJ Open Respiratory Research. 10(1). e001495–e001495. 2 indexed citations
9.
Zhang, Yao, et al.. (2021). Mechanism of hepatotoxicity of first-line tyrosine kinase inhibitors: Gefitinib and afatinib. Toxicology Letters. 343. 1–10. 18 indexed citations
10.
Ji, Jianhui, Fashui Hong, Yingjun Zhou, et al.. (2020). Molecular mechanisms associated with oxidative damage in the mouse testis induced by LaCl3. Environmental Toxicology. 36(3). 408–416. 7 indexed citations
11.
Yang, Siyuan, Chao Xi, Xi Wang, et al.. (2020). Signaling pathways (Notch, Wnt, Bmp and Fgf) have additive effects on hair cell regeneration in the chick basilar papilla after streptomycin injury in vitro. Hearing Research. 401. 108161–108161. 8 indexed citations
12.
Jiang, Lingling, Xi Wang, Xue Gao, et al.. (2019). Transcriptomic analysis of mouse cochleae suffering from gentamicin damage reveals the signalling pathways involved in hair cell regeneration. Scientific Reports. 9(1). 10494–10494. 9 indexed citations
13.
Jiang, Lingling, Meiguang Zhang, Siyuan Yang, et al.. (2018). Transcriptomic analysis of chicken cochleae after gentamicin damage and the involvement of four signaling pathways (Notch, FGF, Wnt and BMP) in hair cell regeneration. Hearing Research. 361. 66–79. 29 indexed citations
14.
Yu, Bo, et al.. (2018). Acute and subchronic toxicity and the evaluation of safety pharmacology of Chinese herbal compound preparation "Shikuqin".. Pakistan Journal of Pharmaceutical Sciences. 31(6(Special)). 2855–2862. 2 indexed citations
15.
Gong, Guiyi, Lingling Jiang, Wenyuan Liu, et al.. (2017). In vivo toxic effects of 4-methoxy-5-hydroxy-canthin-6-one in zebrafish embryos via copper dyshomeostasis and oxidative stress. Comparative Biochemistry and Physiology Part C Toxicology & Pharmacology. 204. 79–87. 8 indexed citations
16.
Jiang, Lingling, Kang Li, Jian Ren, et al.. (2016). Gambogic acid causes fin developmental defect in zebrafish embryo partially via retinoic acid signaling. Reproductive Toxicology. 63. 161–168. 13 indexed citations
17.
Li, Kang, Lingling Jiang, Jianying Li, et al.. (2016). Developmental toxicity of 2,4-dichlorophenoxyacetic acid in zebrafish embryos. Chemosphere. 171. 40–48. 127 indexed citations
18.
19.
Zhang, Ying & Lingling Jiang. (2014). CRP 1059 G/C and 1846G/A polymorphisms and cancer risk: A meta-analysis of 26,634 subjects. Clinics and Research in Hepatology and Gastroenterology. 38(5). 607–612. 8 indexed citations
20.
Wu, Yan‐Ling, Lingling Jiang, Zhen Zhou, et al.. (2008). CYP1A/Regucalcin Gene Expression and Edema Formation in Zebrafish Embryos Exposed to 2,3,7,8-Tetrachlorodibenzo-p-dioxin. Bulletin of Environmental Contamination and Toxicology. 80(6). 482–486. 6 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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