Huan‐Lan Bai

402 total citations
10 papers, 338 citations indexed

About

Huan‐Lan Bai is a scholar working on Molecular Biology, Immunology and Cancer Research. According to data from OpenAlex, Huan‐Lan Bai has authored 10 papers receiving a total of 338 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 4 papers in Immunology and 4 papers in Cancer Research. Recurrent topics in Huan‐Lan Bai's work include Cancer-related molecular mechanisms research (4 papers), interferon and immune responses (3 papers) and RNA Research and Splicing (3 papers). Huan‐Lan Bai is often cited by papers focused on Cancer-related molecular mechanisms research (4 papers), interferon and immune responses (3 papers) and RNA Research and Splicing (3 papers). Huan‐Lan Bai collaborates with scholars based in China and United Kingdom. Huan‐Lan Bai's co-authors include Yan‐Wei Hu, Chun‐Min Kang, Lei Zheng, Zhifeng Lu, Yuan‐Jun Xu, Qian Wu, Jingbo Lu, Lei Xiao, Xiaoyan Dai and Pan Li and has published in prestigious journals such as Arteriosclerosis Thrombosis and Vascular Biology, Cell Death and Differentiation and Experimental Neurology.

In The Last Decade

Huan‐Lan Bai

10 papers receiving 338 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Huan‐Lan Bai China	8	234	167	88	63	38	10	338
Shao-Guo Wu China	11	338 1.4×	312 1.9×	99 1.1×	36 0.6×	82 2.2×	16	513
Ge Mang China	8	289 1.2×	157 0.9×	85 1.0×	29 0.5×	34 0.9×	8	432
Linjian Chen China	5	160 0.7×	90 0.5×	42 0.5×	33 0.5×	25 0.7×	11	290
Linsey J. F. Peters Netherlands	9	124 0.5×	100 0.6×	62 0.7×	29 0.5×	32 0.8×	20	272
Chunyu Zeng China	7	473 2.0×	407 2.4×	104 1.2×	40 0.6×	36 0.9×	10	638
Johnny Yin United States	4	185 0.8×	69 0.4×	185 2.1×	104 1.7×	49 1.3×	5	341
Feng Cao China	13	200 0.9×	151 0.9×	45 0.5×	43 0.7×	82 2.2×	33	385
Ping Sun China	3	193 0.8×	107 0.6×	55 0.6×	20 0.3×	24 0.6×	4	303
Hemin Jiang China	10	166 0.7×	88 0.5×	51 0.6×	40 0.6×	69 1.8×	25	280

Countries citing papers authored by Huan‐Lan Bai

Since Specialization

Citations

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

Fields of papers citing papers by Huan‐Lan Bai

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Huan‐Lan Bai

This figure shows the co-authorship network connecting the top 25 collaborators of Huan‐Lan Bai. A scholar is included among the top collaborators of Huan‐Lan 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 Huan‐Lan Bai. Huan‐Lan 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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10 of 10 papers shown

Yao, Weirong, et al.. (2025). Gut microbiota composition in early pregnancy as a diagnostic tool for gestational diabetes mellitus. Microbiology Spectrum. 13(8). e0339024–e0339024. 1 indexed citations

Wang, Junhui, Qí Zhāng, Ruyi Zhang, et al.. (2024). HCC-1 Accelerates Atherosclerosis by Inducing Endothelial Cell and Macrophage Pyroptosis and Serves as an Early Diagnostic Biomarker. Arteriosclerosis Thrombosis and Vascular Biology. 44(9). 2088–2107. 5 indexed citations

Wang, Jiali, Limin Li, Xin He, et al.. (2020). Lipopolysaccharide Promotes Inflammatory Response via Enhancing IFIT1 Expression in Human Umbilical Vein Endothelial Cells. DNA and Cell Biology. 39(7). 1274–1281. 9 indexed citations

Bai, Huan‐Lan, Chun‐Min Kang, Zhenqing Sun, et al.. (2020). TTDA inhibited apoptosis by regulating the p53-Bax/Bcl2 axis in glioma. Experimental Neurology. 331. 113380–113380. 24 indexed citations

Xu, Yuan‐Jun, Pan Li, Lei Zheng, et al.. (2019). Forkhead Box C2 Attenuates Lipopolysaccharide-Induced Cell Adhesion via Suppression of Intercellular Adhesion Molecule-1 Expression in Human Umbilical Vein Endothelial Cells. DNA and Cell Biology. 38(6). 583–591. 9 indexed citations

Wu, Limei, Shao-Guo Wu, Qian Wu, et al.. (2019). Atorvastatin inhibits pyroptosis through the lncRNA NEXN-AS1/NEXN pathway in human vascular endothelial cells. Atherosclerosis. 293. 26–34. 76 indexed citations

Kang, Chun‐Min, Huan‐Lan Bai, Ruiying Huang, et al.. (2019). The binding of lncRNA RP11-732M18.3 with 14-3-3 β/α accelerates p21 degradation and promotes glioma growth. EBioMedicine. 45. 58–69. 23 indexed citations

Guo, Fengxia, Qian Wu, Pan Li, et al.. (2019). The role of the LncRNA-FA2H-2-MLKL pathway in atherosclerosis by regulation of autophagy flux and inflammation through mTOR-dependent signaling. Cell Death and Differentiation. 26(9). 1670–1687. 141 indexed citations

Bai, Huan‐Lan, Zhifeng Lu, Jingjing Zhao, et al.. (2019). Microarray profiling analysis and validation of novel long noncoding RNAs and mRNAs as potential biomarkers and their functions in atherosclerosis. Physiological Genomics. 51(12). 644–656. 29 indexed citations

10.

Xiao, Lei, Chun‐Min Kang, Li Ding, et al.. (2019). LncRNA AC096664.3/PPAR‐γ/ABCG1‐dependent signal transduction pathway contributes to the regulation of cholesterol homeostasis. Journal of Cellular Biochemistry. 120(8). 13775–13782. 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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