Mingxin Bai

579 total citations
18 papers, 91 citations indexed

About

Mingxin Bai is a scholar working on Rheumatology, Immunology and Molecular Biology. According to data from OpenAlex, Mingxin Bai has authored 18 papers receiving a total of 91 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Rheumatology, 7 papers in Immunology and 5 papers in Molecular Biology. Recurrent topics in Mingxin Bai's work include IgG4-Related and Inflammatory Diseases (2 papers), Neuroendocrine Tumor Research Advances (2 papers) and Spondyloarthritis Studies and Treatments (2 papers). Mingxin Bai is often cited by papers focused on IgG4-Related and Inflammatory Diseases (2 papers), Neuroendocrine Tumor Research Advances (2 papers) and Spondyloarthritis Studies and Treatments (2 papers). Mingxin Bai collaborates with scholars based in China and United States. Mingxin Bai's co-authors include Fanlei Hu, Jimeng Xue, Yin Su, Liling Xu, Huaqun Zhu, Hua Zhong, Zhen Zhao, Xue Li, Xin Li and Gong Cheng and has published in prestigious journals such as Environmental Pollution, Annals of the Rheumatic Diseases and European Journal of Immunology.

In The Last Decade

Mingxin Bai

16 papers receiving 91 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Mingxin Bai China	6	41	30	25	15	12	18	91
Jimeng Xue China	5	43 1.0×	35 1.2×	31 1.2×	20 1.3×	11 0.9×	10	91
Hanna Graßhoff Germany	4	76 1.9×	25 0.8×	22 0.9×	6 0.4×	20 1.7×	6	129
C. Nicolò Italy	4	31 0.8×	31 1.0×	12 0.5×	5 0.3×	6 0.5×	5	80
Verónica Pulito‐Cueto Spain	7	31 0.8×	33 1.1×	22 0.9×	5 0.3×	18 1.5×	24	121
Soroush Najdaghi Iran	5	22 0.5×	11 0.4×	18 0.7×	9 0.6×	23 1.9×	19	106
Magdolna Deák Hungary	4	46 1.1×	54 1.8×	13 0.5×	5 0.3×	12 1.0×	5	86
Melanie Bull United Kingdom	5	83 2.0×	24 0.8×	49 2.0×	12 0.8×	10 0.8×	7	156
Ewa Bertolini France	6	13 0.3×	35 1.2×	38 1.5×	33 2.2×	18 1.5×	8	109
H Mohan India	6	21 0.5×	33 1.1×	44 1.8×	26 1.7×	8 0.7×	11	107
Ann-Christin Gnirck Germany	5	103 2.5×	13 0.4×	35 1.4×	63 4.2×	9 0.8×	6	161

Countries citing papers authored by Mingxin Bai

Since Specialization

Citations

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

Fields of papers citing papers by Mingxin Bai

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mingxin Bai

This figure shows the co-authorship network connecting the top 25 collaborators of Mingxin Bai. A scholar is included among the top collaborators of Mingxin 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 Mingxin Bai. Mingxin 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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18 of 18 papers shown

Bai, Mingxin, Dawei Chen, Chun Wang, et al.. (2025). Association of Different Types of Diabetic Autonomic Neuropathy With Left Ventricular Diastolic Dysfunction in Patients With Type 2 Diabetes: A Cross‐Sectional Study. Journal of Diabetes. 17(7). e70124–e70124. 1 indexed citations

Wang, Ping, Liling Xu, Mingxin Bai, et al.. (2024). MDSCs are important osteoclast precursors primed by B cells in rheumatoid arthritis. European Journal of Immunology. 54(9). e2350823–e2350823. 3 indexed citations

Wang, Tianqi, Chunpan Zhang, Xia Zhang, et al.. (2024). CD8 T cell-derived perforin regulates macrophage-mediated inflammation in a murine model of gout. Clinical Rheumatology. 43(6). 2027–2034. 2 indexed citations

Bai, Mingxin, et al.. (2024). Short-chain chlorinated paraffins may induce thymic aging in mice by activating PERK-CHOP. Environmental Pollution. 357. 124438–124438. 7 indexed citations

Zhang, Tong, Huilan Liu, Meng‐Xin Tian, et al.. (2024). Systematic analysis for clinical characteristics and outcomes of IgG4-related disease patients during the COVID-19 pandemic. Clinical Rheumatology. 43(8). 2595–2606.

Bai, Mingxin, Dawei Chen, Xingwu Ran, et al.. (2024). Cardiac electrophysiology, structure and diastolic function in patients with diabetic foot versus those without diabetic foot. Journal of Diabetes Investigation. 15(9). 1276–1286. 1 indexed citations

Xue, Jimeng, Liling Xu, Hua Zhong, et al.. (2023). Impaired regulatory function of granzyme B-producing B cells against T cell inflammatory responses in lupus mice. Lupus Science & Medicine. 10(2). e000974–e000974. 3 indexed citations

Wang, Qing, et al.. (2023). Reduction of excessive unfolded protein response by 4-phenylbutyric acid may mitigate procymidone-induced testicular damage in mice by changing the levels of circRNA Scar and circZc3h4. Pesticide Biochemistry and Physiology. 197. 105689–105689.

Li, Rui, Fan Li, Xuning Wang, et al.. (2023). 4-Phenylbutyric acid may prevent mouse ovarian and uterine damage due to procymidone-induced alteration of circRNA Scar and circZc3h4 levels by controlling excessive unfolded protein response. Pesticide Biochemistry and Physiology. 196. 105631–105631. 5 indexed citations

10.

Zhao, Zhen, Yanying Liu, Mingxin Bai, et al.. (2022). Clinical profiles differ in IgG4-related disease with and without allergy: a large case-control study in China. Clinical and Experimental Rheumatology. 41(9). 1808–1814. 2 indexed citations

11.

Li, Zheng, Liling Xu, Fanlei Hu, et al.. (2022). Elevated expression of TAM receptor tyrosine kinase in synovial fluid and synovial tissue of rheumatoid arthritis. Clinical & Experimental Immunology. 209(3). 270–279. 6 indexed citations

12.

Bai, Mingxin, Liling Xu, Zhen Zhao, et al.. (2022). Decreased perforin-producing B cells correlate with systemic lupus erythematosus. Clinical and Experimental Rheumatology. 41(3). 634–641. 2 indexed citations

13.

Xie, Yang, Xiang Jiang, Ping Wang, et al.. (2022). SR-A neutralizing antibody: potential drug candidate for ameliorating osteoclastogenesis in rheumatoid arthritis. Clinical & Experimental Immunology. 207(3). 297–306. 5 indexed citations

14.

Zhong, Hua, et al.. (2021). 类风湿关节炎患者趋化因子CXCL9和CXCL10在骨侵蚀中的作用. PubMed Central. 3 indexed citations

15.

Bai, Mingxin, Liling Xu, Huaqun Zhu, et al.. (2021). Impaired granzyme B-producing regulatory B cells in systemic lupus erythematosus. Molecular Immunology. 140. 217–224. 11 indexed citations

16.

Xu, Liling, et al.. (2021). AB0564 RHEUMATOLOGISTS' VIEWS AND EXPERIENCES IN MANAGING PsA PATIENTS BASED ON TREATING TO TARGET STRATEGY: A CROSS-SECTIONAL STUDY IN CHINA. Annals of the Rheumatic Diseases. 80. 1318–1319. 2 indexed citations

17.

Hu, Fanlei, Yawei Tang, Ping Wang, et al.. (2021). Endoplasmic reticulum stress perpetuated toll-like receptor signalling-mediated inflammation in rheumatoid arthritis via X-box-binding protein-1. Clinical and Experimental Rheumatology. 39(4). 859–867. 7 indexed citations

18.

Xue, Jimeng, Liling Xu, Huaqun Zhu, et al.. (2020). CD14+CD16− monocytes are the main precursors of osteoclasts in rheumatoid arthritis via expressing Tyro3TK. Arthritis Research & Therapy. 22(1). 221–221. 31 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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