Xiaoyan Bai

1.8k total citations
55 papers, 1.2k citations indexed

About

Xiaoyan Bai is a scholar working on Pulmonary and Respiratory Medicine, Molecular Biology and Nephrology. According to data from OpenAlex, Xiaoyan Bai has authored 55 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Pulmonary and Respiratory Medicine, 18 papers in Molecular Biology and 15 papers in Nephrology. Recurrent topics in Xiaoyan Bai's work include Lung Cancer Treatments and Mutations (18 papers), Chronic Kidney Disease and Diabetes (11 papers) and Renal Diseases and Glomerulopathies (8 papers). Xiaoyan Bai is often cited by papers focused on Lung Cancer Treatments and Mutations (18 papers), Chronic Kidney Disease and Diabetes (11 papers) and Renal Diseases and Glomerulopathies (8 papers). Xiaoyan Bai collaborates with scholars based in China, United States and India. Xiaoyan Bai's co-authors include Jian Geng, Zhanmei Zhou, Jianwei Tian, Li Xiao, Jiao Wan, Xiaoyan Hou, Chin‐Lee Wu, Liyan Wan, Xiaoting Liu and Meng Dai and has published in prestigious journals such as Journal of Clinical Oncology, PLoS ONE and Diabetes.

In The Last Decade

Xiaoyan Bai

52 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiaoyan Bai China 19 605 399 316 292 187 55 1.2k
Danilo Fiore Italy 16 898 1.5× 776 1.9× 225 0.7× 216 0.7× 249 1.3× 26 1.5k
András Szabó Hungary 14 1.1k 1.9× 605 1.5× 412 1.3× 454 1.6× 103 0.6× 39 1.8k
Olga Ruiz‐Andrés Spain 13 616 1.0× 234 0.6× 316 1.0× 105 0.4× 387 2.1× 15 1.2k
Chen Huang China 14 288 0.5× 211 0.5× 126 0.4× 156 0.5× 113 0.6× 27 684
Xiang Zhong China 17 1.1k 1.8× 626 1.6× 201 0.6× 83 0.3× 558 3.0× 37 1.7k
Jill M. Ricono United States 13 607 1.0× 262 0.7× 105 0.3× 308 1.1× 112 0.6× 21 1.2k
Edwin Herrmann Germany 21 674 1.1× 506 1.3× 653 2.1× 396 1.4× 57 0.3× 47 1.5k
Xiangchen Gu China 11 678 1.1× 341 0.9× 94 0.3× 57 0.2× 203 1.1× 24 1.1k
Yonghong Shi China 17 372 0.6× 226 0.6× 76 0.2× 122 0.4× 117 0.6× 32 733
Kwang‐Sun Suh South Korea 15 235 0.4× 235 0.6× 105 0.3× 183 0.6× 76 0.4× 55 802

Countries citing papers authored by Xiaoyan Bai

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoyan Bai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaoyan Bai

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaoyan Bai. A scholar is included among the top collaborators of Xiaoyan 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 Xiaoyan Bai. Xiaoyan Bai 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.
Zhang, Yan, et al.. (2025). The roles and functions of TMEM protein family members in cancers, cardiovascular and kidney diseases (Review). Biomedical Reports. 22(4). 63–63. 2 indexed citations
2.
Liu, Xiaoyang, Haidong Xu, Xiaoyan Bai, et al.. (2025). Timed photothermal therapy combining fluorescence-on chemotherapy maximizes tumor treatment. Bioactive Materials. 53. 789–800.
3.
4.
Xu, Xin, et al.. (2024). Preparation of TPPZn/Ag3PO4 Electrospun Fiber Material and Removal of Organic Dyes. Russian Journal of Inorganic Chemistry. 69(6). 949–955. 1 indexed citations
5.
Zhang, Yan, Ting Zhang, Hong Zhang, et al.. (2024). Nogo-B Promotes Endoplasmic Reticulum Stress-Mediated Autophagy in Endothelial Cells of Diabetic Nephropathy. Antioxidants and Redox Signaling. 41(10-12). 706–722. 3 indexed citations
6.
Zhang, Ruiting, et al.. (2023). Development of a clinical automatic calculation of hypoglycemia during hemodialysis risk in patients with diabetic nephropathy. Diabetology & Metabolic Syndrome. 15(1). 199–199. 1 indexed citations
7.
Sun, Xiaoxin, et al.. (2023). P1.01-11 Lung Cancer Risk Prediction Model Incorporating Liver Function Markers: a Prospective Cohort Study from the UK Biobank. Journal of Thoracic Oncology. 18(11). S186–S186. 1 indexed citations
8.
Pan, Jiaqi, Carlo Alberto Ricciardi, Xiaoyan Bai, et al.. (2019). Overexpression of Circulating Soluble Nogo-B Improves Diabetic Kidney Disease by Protecting the Vasculature. Diabetes. 68(9). 1841–1852. 16 indexed citations
9.
Xiao, Li, Ting Zhang, Jian Geng, et al.. (2019). Advanced Oxidation Protein Products Promote Lipotoxicity and Tubulointerstitial Fibrosis via CD36/β-Catenin Pathway in Diabetic Nephropathy. Antioxidants and Redox Signaling. 31(7). 521–538. 51 indexed citations
11.
Wu, Yi‐Long, Qi Zhou, Hsi‐Feng Tu, et al.. (2018). P1.01-97 Cluster Trial: Ph2 Biomarker-Integrated Study of Single Agent Alpelisib, Capmatinib, Ceritinib and Binimetinib in advNSCLC. Journal of Thoracic Oncology. 13(10). S500–S501. 1 indexed citations
12.
Zhou, Qing, Yujie Zhang, Zhenhua Chen, et al.. (2018). MA15.06 Circulating Tumor DNA Portrays the Resistance Landscape to a Novel Third Generation EGFR Inhibitor, AC0010. Journal of Thoracic Oncology. 13(10). S408–S409. 1 indexed citations
13.
14.
Wan, Jiao, Xiaoyan Hou, Zhanmei Zhou, et al.. (2017). WT1 ameliorates podocyte injury via repression of EZH2/β-catenin pathway in diabetic nephropathy. Free Radical Biology and Medicine. 108. 280–299. 38 indexed citations
15.
Zhou, Zhanmei, Jiao Wan, Xiaoyan Hou, et al.. (2017). MicroRNA-27a promotes podocyte injury via PPARγ-mediated β-catenin activation in diabetic nephropathy. Cell Death and Disease. 8(3). e2658–e2658. 89 indexed citations
16.
Bai, Xiaoyan, Jian Geng, Zhanmei Zhou, Jianwei Tian, & Li Xiao. (2016). MicroRNA-130b improves renal tubulointerstitial fibrosis via repression of Snail-induced epithelial-mesenchymal transition in diabetic nephropathy. Scientific Reports. 6(1). 20475–20475. 77 indexed citations
17.
Bai, Xiaoyan, Jian Geng, Zhanmei Zhou, Jianwei Tian, & Li Xiao. (2015). MicroRNA-130b Improves Renal Tubulointerstitial Fibrosis via Repression of Snail-Induced Epithelial-Mesenchymal Transition in Diabetic Nephropathy. Hong Kong Journal of Nephrology. 17(2). S12–S12. 13 indexed citations
18.
Jiang, Huiyong, Xiaoyan Bai, Cheng Zhang, & Xuefeng Zhang. (2012). Evaluation of HER2 Gene Amplification in Breast Cancer Using Nuclei Microarray in Situ Hybridization. International Journal of Molecular Sciences. 13(5). 5519–5527. 6 indexed citations
19.
Li, Xiao, Liyan Wan, Jian Geng, Chin‐Lee Wu, & Xiaoyan Bai. (2012). Aldehyde Dehydrogenase 1A1 Possesses Stem-Like Properties and Predicts Lung Cancer Patient Outcome. Journal of Thoracic Oncology. 7(8). 1235–1245. 66 indexed citations
20.
Li, Xiao, Liyan Wan, Hong Shen, et al.. (2011). Thyroid Transcription Factor-1 Amplification and Expressions in Lung Adenocarcinoma Tissues and Pleural Effusions Predict Patient Survival and Prognosis. Journal of Thoracic Oncology. 7(1). 76–84. 29 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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