Yuling Tian

420 total citations
10 papers, 169 citations indexed

About

Yuling Tian is a scholar working on Surgery, Molecular Biology and Epidemiology. According to data from OpenAlex, Yuling Tian has authored 10 papers receiving a total of 169 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Surgery, 3 papers in Molecular Biology and 3 papers in Epidemiology. Recurrent topics in Yuling Tian's work include Pain Mechanisms and Treatments (2 papers), Neuroscience and Neuropharmacology Research (2 papers) and Stress Responses and Cortisol (1 paper). Yuling Tian is often cited by papers focused on Pain Mechanisms and Treatments (2 papers), Neuroscience and Neuropharmacology Research (2 papers) and Stress Responses and Cortisol (1 paper). Yuling Tian collaborates with scholars based in China, Bangladesh and Taiwan. Yuling Tian's co-authors include Yuan Guo, Dong‐Yuan Cao, Yan Zhao, Mengping Liu, Tao Chen, Liang Wang, Ningning Dang, Shuguang Pang, Lin Ding and Yu Li and has published in prestigious journals such as Journal of Virology, Brain Research and Bioscience Biotechnology and Biochemistry.

In The Last Decade

Yuling Tian

9 papers receiving 167 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yuling Tian China 7 60 60 35 27 26 10 169
Angélica Jardim Costa Brazil 8 99 1.6× 84 1.4× 34 1.0× 16 0.6× 28 1.1× 10 323
Joyce Chou United States 6 68 1.1× 31 0.5× 60 1.7× 20 0.7× 19 0.7× 7 217
Yujia Zhao China 8 55 0.9× 46 0.8× 24 0.7× 13 0.5× 16 0.6× 18 206
Xueqi Li China 8 106 1.8× 58 1.0× 13 0.4× 31 1.1× 12 0.5× 21 277
Jackson A. Roberts United States 8 84 1.4× 76 1.3× 12 0.3× 45 1.7× 9 0.3× 18 237
Guoqing Wang China 9 116 1.9× 55 0.9× 20 0.6× 25 0.9× 36 1.4× 27 284
Nadezhda V. Tarasova Russia 10 92 1.5× 50 0.8× 20 0.6× 11 0.4× 16 0.6× 19 299
Byungchang Jin United States 6 81 1.4× 50 0.8× 10 0.3× 58 2.1× 34 1.3× 9 228
Shuyan Li China 10 81 1.4× 17 0.3× 28 0.8× 17 0.6× 16 0.6× 17 209

Countries citing papers authored by Yuling Tian

Since Specialization
Citations

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

Fields of papers citing papers by Yuling Tian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuling Tian

This figure shows the co-authorship network connecting the top 25 collaborators of Yuling Tian. A scholar is included among the top collaborators of Yuling Tian 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 Yuling Tian. Yuling Tian is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
1.
Zhang, Chengguang, Yuling Tian, Chen Chen, et al.. (2021). Virus-Like Vesicles Based on Semliki Forest Virus-Containing Rabies Virus Glycoprotein Make a Safe and Efficacious Rabies Vaccine Candidate in a Mouse Model. Journal of Virology. 95(20). e0079021–e0079021. 11 indexed citations
2.
Wang, Xu, Yuling Tian, Hongbo Jiang, et al.. (2019). Analysis on pathogeny and clinical of encephalitis and meningitis syndrome in children. Zhonghua shiyong erke linchuang zazhi. 34(12). 926–929.
3.
Wang, Liang, et al.. (2019). MiR-210-3p attenuates lipid accumulation and inflammation in atherosclerosis by repressing IGF2. Bioscience Biotechnology and Biochemistry. 84(2). 321–329. 39 indexed citations
4.
Tian, Yuling, et al.. (2014). Adjacent SNPs in the transcriptional regulatory region of the FADS2 gene associated with fatty acid and growth traits in chickens. Genetics and Molecular Research. 13(2). 3329–3336. 10 indexed citations
5.
Ding, Lin, et al.. (2014). Coordinated Actions of FXR and LXR in Metabolism: From Pathogenesis to Pharmacological Targets for Type 2 Diabetes. International Journal of Endocrinology. 2014. 1–13. 37 indexed citations
6.
Sun, Nianfeng, et al.. (2013). Coexpression of recombinant adenovirus carrying GDNF and EDNRB genes in neural stem cells in vitro. Cell Biology International. 37(5). 458–463. 6 indexed citations
7.
Sun, Nianfeng, Ailing Tian, Yuling Tian, Sanyuan Hu, & Li Xu. (2013). The interventional therapy for diabetic peripheral artery disease. BMC Surgery. 13(1). 32–32. 6 indexed citations
8.
Zhang, Qi, Yan Zhao, Yuan Guo, et al.. (2006). ELECTROPHYSIOLOGICAL EVIDENCE FOR THE INTERACTION OF SUBSTANCE P AND GLUTAMATE ON Aδ AND C AFFERENT FIBRE ACTIVITY IN RAT HAIRY SKIN. Clinical and Experimental Pharmacology and Physiology. 33(12). 1128–1133. 14 indexed citations
9.
Zhang, Qi, Yan Zhao, Yuan Guo, et al.. (2006). Activation and sensitization of C and Aδ afferent fibers mediated by P2X receptors in rat dorsal skin. Brain Research. 1102(1). 78–85. 19 indexed citations
10.
Tian, Yuling, et al.. (2005). Local application of morphine suppresses glutamate-evoked activities of C and Aδ afferent fibers in rat hairy skin. Brain Research. 1059(1). 28–34. 27 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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