Changsen Bai

773 total citations
34 papers, 506 citations indexed

About

Changsen Bai is a scholar working on Molecular Biology, Oncology and Epidemiology. According to data from OpenAlex, Changsen Bai has authored 34 papers receiving a total of 506 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 10 papers in Oncology and 10 papers in Epidemiology. Recurrent topics in Changsen Bai's work include Neutropenia and Cancer Infections (7 papers), Cancer, Hypoxia, and Metabolism (6 papers) and Antifungal resistance and susceptibility (5 papers). Changsen Bai is often cited by papers focused on Neutropenia and Cancer Infections (7 papers), Cancer, Hypoxia, and Metabolism (6 papers) and Antifungal resistance and susceptibility (5 papers). Changsen Bai collaborates with scholars based in China and United States. Changsen Bai's co-authors include Miao Liu, Yuxia Ruan, Qiu Li, Qiaoyun Chu, Chuanzhen Yang, Binghui Li, Yuanyuan Wang, Binghui Li, Peng Zhang and Qing Zhang and has published in prestigious journals such as Nature Communications, The Journal of Experimental Medicine and Nature Cell Biology.

In The Last Decade

Changsen Bai

32 papers receiving 501 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Changsen Bai China 13 237 193 94 78 64 34 506
Niradiz Reyes Colombia 14 189 0.8× 71 0.4× 74 0.8× 48 0.6× 101 1.6× 38 488
Kishu Ranjan United States 12 219 0.9× 45 0.2× 69 0.7× 47 0.6× 106 1.7× 21 482
Letitia C. Fulcher United States 10 312 1.3× 62 0.3× 64 0.7× 111 1.4× 34 0.5× 14 573
Zhuo Cao China 12 175 0.7× 56 0.3× 76 0.8× 59 0.8× 36 0.6× 27 391
Reza Ghasemi Iran 15 230 1.0× 71 0.4× 130 1.4× 120 1.5× 77 1.2× 53 614
Yen-Cheng Yeh Taiwan 10 166 0.7× 66 0.3× 37 0.4× 45 0.6× 65 1.0× 12 361
Zhenhua Yang China 17 541 2.3× 417 2.2× 72 0.8× 133 1.7× 18 0.3× 51 949
Huiyan Wen China 10 269 1.1× 206 1.1× 50 0.5× 114 1.5× 16 0.3× 14 627
Nehru Viji Sankaranarayanan United States 17 373 1.6× 70 0.4× 47 0.5× 46 0.6× 71 1.1× 35 698
Pei Li China 12 141 0.6× 51 0.3× 44 0.5× 114 1.5× 30 0.5× 44 480

Countries citing papers authored by Changsen Bai

Since Specialization
Citations

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

Fields of papers citing papers by Changsen Bai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Changsen Bai

This figure shows the co-authorship network connecting the top 25 collaborators of Changsen Bai. A scholar is included among the top collaborators of Changsen 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 Changsen Bai. Changsen 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
2.
Bai, Changsen, Lianlian Wu, Ruijiang Li, et al.. (2025). Machine Learning‐Enabled Drug‐Induced Toxicity Prediction. Advanced Science. 12(16). e2413405–e2413405. 14 indexed citations
3.
Bai, Changsen, Miao Liu, Zhaosong Wang, et al.. (2025). Glutaminase‐1 Mediated Glutaminolysis to Glutathione Synthesis Maintains Redox Homeostasis and Modulates Ferroptosis Sensitivity in Cancer Cells. Cell Proliferation. 58(11). e70036–e70036. 1 indexed citations
4.
Yang, Ronghui, Qiaoyun Chu, Zihao Guo, et al.. (2025). AMPK-regulated glycerol excretion maintains metabolic crosstalk between reductive and energetic stress. Nature Cell Biology. 27(1). 141–153. 12 indexed citations
5.
Dong, Dong, Na Zhao, Changsen Bai, et al.. (2025). Hepatocyte-specific C-C motif chemokine ligand 9 signaling promotes liver fibrosis progression in mice. Hepatology. 83(4). 789–807. 2 indexed citations
6.
Liu, Li, et al.. (2024). CYB561 promotes HER2+ breast cancer proliferation by inhibiting H2AFY degradation. Cell Death Discovery. 10(1). 38–38. 2 indexed citations
7.
Bai, Changsen, et al.. (2024). Relative contribution of hepatitis B and C viruses in primary liver cancer in China: A systematic review and meta-analysis. Journal of Infection. 89(6). 106298–106298. 6 indexed citations
8.
Wang, Zhen, et al.. (2024). Assessing the effect of scanning parameter on the size and density of pulmonary nodules: a phantom study. BMC Medical Imaging. 24(1). 12–12. 2 indexed citations
9.
Bai, Changsen, Wenxin Li, Gang Zhao, et al.. (2024). Circ_0006949 as a potential non-invasive diagnosis biomarker promotes the proliferation of NSCLC cells via miR-4673/GLUL axis. Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease. 1870(6). 167234–167234. 1 indexed citations
10.
Li, Lifang, Xuefei Wang, Kai Hu, et al.. (2023). ZNF133 is a potent suppressor in breast carcinogenesis through dampening L1CAM, a driver for tumor progression. Oncogene. 42(27). 2166–2182. 1 indexed citations
11.
Zhuang, Hao, et al.. (2022). Spatiotemporal modulation of SMAD4 by HBx is required for cellular proliferation in hepatitis B-related liver cancer. Cellular Oncology. 45(4). 573–589. 6 indexed citations
12.
Bai, Changsen, et al.. (2022). Clinical Analysis of Bloodstream Infection of Escherichia coli in Patients with Pancreatic Cancer from 2011 to 2019. Canadian Journal of Infectious Diseases and Medical Microbiology. 2022. 1–8. 4 indexed citations
13.
14.
Zhang, Qing, Li Ding, Changsen Bai, et al.. (2021). A TTP-incorporated scoring model for predicting mortality of solid tumor patients with bloodstream infection caused by Escherichia coli. Supportive Care in Cancer. 30(1). 413–421. 1 indexed citations
15.
Liu, Miao, Changsen Bai, Yuxia Ruan, et al.. (2020). Caspase-8 Induces Lysosome-Associated Cell Death in Cancer Cells. Molecular Therapy. 28(4). 1078–1091. 35 indexed citations
16.
Ding, Li, Changsen Bai, Qing Zhang, et al.. (2019). β-1,3-Glucan/CR3/SYK pathway-dependent LC3B-II accumulation enhanced the fungicidal activity in human neutrophils. The Journal of Microbiology. 57(4). 263–270. 8 indexed citations
17.
Zhang, Qing, Li Ding, Zheng Li, et al.. (2019). <p>Clinical outcome of <em>Escherichia coli</em> bloodstream infection in cancer patients with/without biofilm formation: a single-center retrospective study</p>. Infection and Drug Resistance. Volume 12. 359–371. 20 indexed citations
18.
Wang, Yuanyuan, Changsen Bai, Yuxia Ruan, et al.. (2019). Coordinative metabolism of glutamine carbon and nitrogen in proliferating cancer cells under hypoxia. Nature Communications. 10(1). 201–201. 175 indexed citations
19.
Ding, Li, Rui Xia, Qing Zhang, et al.. (2017). Evaluation of candidemia in epidemiology and risk factors among cancer patients in a cancer center of China: an 8-year case-control study. BMC Infectious Diseases. 17(1). 536–536. 42 indexed citations
20.
Zheng, Shuguo, et al.. (2013). Risk factors for hospital-acquired bloodstream infections caused by extended-spectrum β-lactamase Klebsiella pneumoniae among cancer patients. Irish Journal of Medical Science (1971 -). 183(3). 463–469. 15 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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