Baochen Bai

814 total citations · 1 hit paper
7 papers, 623 citations indexed

About

Baochen Bai is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Immunology. According to data from OpenAlex, Baochen Bai has authored 7 papers receiving a total of 623 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 3 papers in Cardiology and Cardiovascular Medicine and 2 papers in Immunology. Recurrent topics in Baochen Bai's work include Biomarkers in Disease Mechanisms (2 papers), Chemotherapy-induced cardiotoxicity and mitigation (2 papers) and Inflammasome and immune disorders (2 papers). Baochen Bai is often cited by papers focused on Biomarkers in Disease Mechanisms (2 papers), Chemotherapy-induced cardiotoxicity and mitigation (2 papers) and Inflammasome and immune disorders (2 papers). Baochen Bai collaborates with scholars based in China. Baochen Bai's co-authors include Xian‐Ming Chu, Tao Yu, Yanyan Yang, Chao Tian, Peifeng Li, Yan Liu, Min Li, Qi Wang, Lynn Htet Htet Aung and Ruicong Sun and has published in prestigious journals such as Cell Death and Disease, Biomedicine & Pharmacotherapy and Redox Biology.

In The Last Decade

Baochen Bai

7 papers receiving 620 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

NLRP3 inflammasome in endothelial dysfunction

2020 349 citations Baochen Bai, Yanyan Yang et al. Cell Death and Disease profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Baochen Bai China	6	401	140	117	103	62	7	623
Haibao Shang China	7	503 1.3×	182 1.3×	106 0.9×	89 0.9×	50 0.8×	12	754
Jingti Deng China	16	434 1.1×	98 0.7×	103 0.9×	157 1.5×	51 0.8×	31	767
Zheng Wan China	17	280 0.7×	66 0.5×	111 0.9×	92 0.9×	96 1.5×	57	716
Zeinab Deris Zayeri Iran	11	220 0.5×	141 1.0×	130 1.1×	118 1.1×	39 0.6×	29	720
Wenli Xie China	15	345 0.9×	49 0.3×	120 1.0×	111 1.1×	57 0.9×	31	580
Huairui Shi China	13	442 1.1×	202 1.4×	180 1.5×	47 0.5×	69 1.1×	19	725
Naifeng Liu China	18	377 0.9×	172 1.2×	85 0.7×	157 1.5×	113 1.8×	51	878
Przemysław Leszek Poland	13	292 0.7×	335 2.4×	64 0.5×	86 0.8×	66 1.1×	82	800
Dulguun Amgalan United States	7	549 1.4×	182 1.3×	87 0.7×	175 1.7×	168 2.7×	9	858

Countries citing papers authored by Baochen Bai

Since Specialization

Citations

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

Fields of papers citing papers by Baochen Bai

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Baochen Bai

This figure shows the co-authorship network connecting the top 25 collaborators of Baochen Bai. A scholar is included among the top collaborators of Baochen 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 Baochen Bai. Baochen 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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7 of 7 papers shown

1.

Deng, Shizhou, et al.. (2024). Indole-3-carbinol and its main derivative 3,3′-diindolylmethane: Regulatory roles and therapeutic potential in liver diseases. Biomedicine & Pharmacotherapy. 180. 117525–117525. 2 indexed citations

2.

Bai, Baochen, et al.. (2021). The Molecular Mechanisms of Cardiotoxicity Induced by HER2, VEGF, and Tyrosine Kinase Inhibitors: an Updated Review. Cardiovascular Drugs and Therapy. 36(3). 511–524. 34 indexed citations

3.

Tian, Chao, Yanyan Yang, Baochen Bai, et al.. (2021). Potential of exosomes as diagnostic biomarkers and therapeutic carriers for doxorubicin-induced cardiotoxicity. International Journal of Biological Sciences. 17(5). 1328–1338. 63 indexed citations

4.

Yang, Yanyan, Shizhong Wang, Xiangqin He, et al.. (2021). Role of acetylation in doxorubicin-induced cardiotoxicity. Redox Biology. 46. 102089–102089. 108 indexed citations

5.

Bai, Baochen, Yanyan Yang, Shengxiang Ji, et al.. (2021). MicroRNA‐302c‐3p inhibits endothelial cell pyroptosis via directly targeting NOD‐, LRR‐ and pyrin domain‐containing protein 3 in atherosclerosis. Journal of Cellular and Molecular Medicine. 25(9). 4373–4386. 26 indexed citations

6.

Bai, Baochen, Yanyan Yang, Qi Wang, et al.. (2020). NLRP3 inflammasome in endothelial dysfunction. Cell Death and Disease. 11(9). 776–776. 349 indexed citations breakdown →

7.

Wang, Qi, Bingyan Liu, Yuanyong Wang, et al.. (2020). The biomarkers of key miRNAs and target genes associated with acute myocardial infarction. PeerJ. 8. e9129–e9129. 41 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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