Ningning Tang

841 total citations
35 papers, 625 citations indexed

About

Ningning Tang is a scholar working on Ophthalmology, Radiology, Nuclear Medicine and Imaging and Molecular Biology. According to data from OpenAlex, Ningning Tang has authored 35 papers receiving a total of 625 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Ophthalmology, 10 papers in Radiology, Nuclear Medicine and Imaging and 8 papers in Molecular Biology. Recurrent topics in Ningning Tang's work include Retinal Diseases and Treatments (4 papers), Cancer-related molecular mechanisms research (4 papers) and Circular RNAs in diseases (4 papers). Ningning Tang is often cited by papers focused on Retinal Diseases and Treatments (4 papers), Cancer-related molecular mechanisms research (4 papers) and Circular RNAs in diseases (4 papers). Ningning Tang collaborates with scholars based in China, United States and South Korea. Ningning Tang's co-authors include Shuang‐Nan Zhang, Hao Wei, Tao Yu, Shaoyan Jiang, Fan Xu, Yanyan Yang, Murugavel Ponnusamy, Hui Xin, Guangyi Huang and Shaoyan Liu and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Ningning Tang

30 papers receiving 615 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ningning Tang China 14 160 107 102 88 86 35 625
Makoto Kanno Japan 12 177 1.1× 54 0.5× 5 0.0× 59 0.7× 65 0.8× 44 662
Y.W. Chan Hong Kong 15 248 1.6× 90 0.8× 40 0.4× 27 0.3× 41 0.5× 30 865
David C. Clarke Canada 20 356 2.2× 35 0.3× 8 0.1× 23 0.3× 30 0.3× 56 1.1k
Quanxing Liu China 21 261 1.6× 152 1.4× 16 0.2× 39 0.4× 41 0.5× 62 969
Vítor Sousa Portugal 14 563 3.5× 238 2.2× 25 0.2× 77 0.9× 48 0.6× 62 965
Yongping Zhang China 16 290 1.8× 103 1.0× 28 0.3× 218 2.5× 26 0.3× 62 1.0k

Countries citing papers authored by Ningning Tang

Since Specialization
Citations

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

Fields of papers citing papers by Ningning Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ningning Tang

This figure shows the co-authorship network connecting the top 25 collaborators of Ningning Tang. A scholar is included among the top collaborators of Ningning Tang 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 Ningning Tang. Ningning Tang 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
2.
Qin, Yuanjun, Guangyi Huang, Li Jiang, et al.. (2024). Ucf-101 alleviates Ischaemia/Reperfusion induced retinal inflammation and injury via suppressing oxidative damage. Journal of Molecular Histology. 55(4). 455–464. 2 indexed citations
3.
Deng, Wen‐Tao, Ningning Tang, Haibin Zhong, et al.. (2024). SN promote retinal pathological neovascularization through activation of EGFR, IR and IGF-1R. Experimental Eye Research. 250. 110158–110158.
4.
Yang, Yanyan, Ningning Tang, Yan Liu, et al.. (2024). PP2 suppresses proliferation and migration of C6 Glioma and MDA-MB-231 cells by targeting both fibroblast growth factor receptor 1 and Src. Chemico-Biological Interactions. 403. 111252–111252.
5.
Li, Wenxiang, Guangyi Huang, Ningning Tang, et al.. (2023). Association between co-exposure to phenols, phthalates, and polycyclic aromatic hydrocarbons with the risk of frailty. Environmental Science and Pollution Research. 30(48). 105181–105193. 4 indexed citations
6.
Li, Wenxiang, Ningning Tang, Fen Tang, et al.. (2023). Diabetic retinopathy related homeostatic dysregulation and its association with mortality among diabetes patients: A cohort study from NHANES. Diabetes Research and Clinical Practice. 207. 111081–111081. 4 indexed citations
7.
Li, Wenxiang, Guangyi Huang, Ningning Tang, et al.. (2023). Effects of heavy metal exposure on hypertension: A machine learning modeling approach. Chemosphere. 337. 139435–139435. 42 indexed citations
8.
Li, Wenxiang, Guangyi Huang, Ningning Tang, et al.. (2023). Association of glyphosate exposure with multiple adverse outcomes and potential mediators. Chemosphere. 345. 140477–140477. 13 indexed citations
9.
Li, Wenxiang, Guangyi Huang, Ningning Tang, et al.. (2023). Identification of dietary components in association with abdominal aortic calcification. Food & Function. 14(18). 8383–8395. 4 indexed citations
10.
Tang, Ningning, Guangyi Huang, Li Jiang, et al.. (2023). A Hybrid System for Automatic Identification of Corneal Layers on In Vivo Confocal Microscopy Images. Translational Vision Science & Technology. 12(4). 8–8. 3 indexed citations
11.
Tang, Ningning, Guangyi Huang, Li Jiang, et al.. (2023). An artificial intelligence approach to classify pathogenic fungal genera of fungal keratitis using corneal confocal microscopy images. International Ophthalmology. 43(7). 2203–2214. 11 indexed citations
12.
Wang, Huadeng, Guang Xu, Xipeng Pan, et al.. (2022). Attention-inception-based U-Net for retinal vessel segmentation with advanced residual. Computers & Electrical Engineering. 98. 107670–107670. 37 indexed citations
13.
Tang, Ningning, Qing Chen, Fengmei Li, et al.. (2021). 20% ethanol assists the excision of primary pterygium. SHILAP Revista de lepidopterología.
14.
Tang, Ningning, Ling Li, Fei Xie, et al.. (2021). A living cell-based fluorescent reporter for high-throughput screening of anti-tumor drugs. Journal of Pharmaceutical Analysis. 11(6). 808–814. 5 indexed citations
15.
Xu, Fan, Wenjing He, Jian Lv, et al.. (2021). A deep transfer learning framework for the automated assessment of corneal inflammation on in vivo confocal microscopy images. PLoS ONE. 16(6). e0252653–e0252653. 22 indexed citations
16.
Tang, Fen, Fan Xu, Ningning Tang, et al.. (2021). Impact of air injection on subretinal fluid following successful scleral buckling surgery for macular-involving retinal detachment. Scientific Reports. 11(1). 9102–9102. 1 indexed citations
17.
Xu, Fan, Li Jiang, Wenjing He, et al.. (2021). The Clinical Value of Explainable Deep Learning for Diagnosing Fungal Keratitis Using in vivo Confocal Microscopy Images. Frontiers in Medicine. 8. 797616–797616. 29 indexed citations
18.
Tang, Ningning, Yanqing Chen, Kun Ye, et al.. (2020). CT features of COVID-19 patients with two consecutive negative RT-PCR tests after treatment. Scientific Reports. 10(1). 11548–11548. 31 indexed citations
19.
Liu, Shaoyan, Yanyan Yang, Shaoyan Jiang, et al.. (2019). MiR-378a-5p Regulates Proliferation and Migration in Vascular Smooth Muscle Cell by Targeting CDK1. Frontiers in Genetics. 10. 22–22. 44 indexed citations
20.
Liu, Shaoyan, Yanyan Yang, Shaoyan Jiang, et al.. (2018). Understanding the role of non-coding RNA (ncRNA) in stent restenosis. Atherosclerosis. 272. 153–161. 48 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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