Yuting Bai

493 total citations
13 papers, 322 citations indexed

About

Yuting Bai is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Cellular and Molecular Neuroscience. According to data from OpenAlex, Yuting Bai has authored 13 papers receiving a total of 322 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 6 papers in Pulmonary and Respiratory Medicine and 5 papers in Cellular and Molecular Neuroscience. Recurrent topics in Yuting Bai's work include Ferroptosis and cancer prognosis (5 papers), RNA modifications and cancer (4 papers) and Nerve injury and regeneration (3 papers). Yuting Bai is often cited by papers focused on Ferroptosis and cancer prognosis (5 papers), RNA modifications and cancer (4 papers) and Nerve injury and regeneration (3 papers). Yuting Bai collaborates with scholars based in China and United States. Yuting Bai's co-authors include Gong Chen, Fengyu Zhang, Lei Zhang, Zhuofan Lei, Alice Cai, Zifei Pei, Li‐Sheng Wang, Hua Wang, Fengjun Xiao and Jun Yang and has published in prestigious journals such as Journal of Biological Chemistry, PLoS ONE and Journal of Cellular Biochemistry.

In The Last Decade

Yuting Bai

12 papers receiving 321 citations

Peers

Yuting Bai

CMN

NEURO

Tai‐Kyoung Baik South Korea

Zhifu Wang China

Tong Wen China

R.L. Zhang United States

Camelia A. Danilov United States

Jian-Nan Zhang China

Fei Ding China

Tao-Xiang Chen China

Juan Yu China

Tai‐Kyoung Baik South Korea

Yuting Bai

181 ×1.1

107 ×1.0

CMN

29 ×0.4

51 ×0.8

54 ×1.0

NEURO

Citations per year, relative to Yuting Bai Yuting Bai (= 1×) peers Tai‐Kyoung Baik

Countries citing papers authored by Yuting Bai

Since Specialization

Citations

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

Fields of papers citing papers by Yuting Bai

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuting Bai

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

All Works

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13 of 13 papers shown

Chen, Guoqing, et al.. (2025). Predicting the molecular mechanism of ginger targeting PRMT1/BTG2 axis to inhibit gastric cancer based on WGCNA and machine algorithms. Phytomedicine. 143. 156892–156892.

Bai, Yuting, et al.. (2025). Exploring the potential mechanism of atorvastatin in regulating ferroptosis as a treatment for heart failure based on network pharmacology. Naunyn-Schmiedeberg s Archives of Pharmacology. 398(9). 12227–12239. 1 indexed citations

Chen, Guoqing, et al.. (2024). Network pharmacology study and in vitro experimental validation of Xiaojianzhong decoction against gastric cancer. World Journal of Gastrointestinal Oncology. 16(9). 3932–3954. 1 indexed citations

Wu, Qianqian, Xiaoqian Liu, Yuting Bai, et al.. (2024). Visualising research trends and hotspots in ferroptosis: a decade of insights into iron-dependent cell death and clinical diseases. 54(1). 2 indexed citations

Liu, Xiaoqian, Yuting Bai, Xiaoling Su, et al.. (2024). Hypoxia and ferroptosis. Cellular Signalling. 122. 111328–111328. 16 indexed citations

Bai, Yuting, et al.. (2021). Hypoxia protects H9c2 cells against Ferroptosis through SENP1-mediated protein DeSUMOylation. International Journal of Medical Sciences. 18(7). 1618–1627. 37 indexed citations

Zhang, Lei, Zhuofan Lei, Ziyuan Guo, et al.. (2020). Development of Neuroregenerative Gene Therapy to Reverse Glial Scar Tissue Back to Neuron-Enriched Tissue. Frontiers in Cellular Neuroscience. 14. 594170–594170. 50 indexed citations

Puls, Brendan, Yan Ding, Fengyu Zhang, et al.. (2020). Regeneration of Functional Neurons After Spinal Cord Injury via in situ NeuroD1-Mediated Astrocyte-to-Neuron Conversion. Frontiers in Cell and Developmental Biology. 8. 591883–591883. 80 indexed citations

Chen, Qingjie, et al.. (2019). Ferulic acid attenuates oxidative DNA damage and inflammatory responses in microglia induced by benzo(a)pyrene. International Immunopharmacology. 77. 105980–105980. 57 indexed citations

10.

Zhou, Li, Xin Tang, Xinyi Li, et al.. (2019). Identification of transthyretin as a novel interacting partner for the δ subunit of GABAA receptors. PLoS ONE. 14(1). e0210094–e0210094. 19 indexed citations

11.

Ning, Zhifeng, et al.. (2018). Neuregulin1 acts as a suppressor in human lung adenocarcinoma via AKT and ERK1/2 pathway. Journal of Thoracic Disease. 10(6). 3166–3179. 14 indexed citations

12.

Bai, Yuting, et al.. (2018). MiR‐28‐5p relieves neuropathic pain by targeting Zeb1 in CCI rat models. Journal of Cellular Biochemistry. 119(10). 8555–8563. 24 indexed citations

13.

Wu, Xia, Zheng Wu, Ce Zhang, et al.. (2013). Homeostatic Competition between Phasic and Tonic Inhibition. Journal of Biological Chemistry. 288(35). 25053–25065. 21 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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