Chun‐Xia Wan

406 total citations
10 papers, 334 citations indexed

About

Chun‐Xia Wan is a scholar working on Molecular Biology, Epidemiology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Chun‐Xia Wan has authored 10 papers receiving a total of 334 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 5 papers in Epidemiology and 3 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Chun‐Xia Wan's work include Autophagy in Disease and Therapy (4 papers), Cardiac Fibrosis and Remodeling (2 papers) and Flavonoids in Medical Research (2 papers). Chun‐Xia Wan is often cited by papers focused on Autophagy in Disease and Therapy (4 papers), Cardiac Fibrosis and Remodeling (2 papers) and Flavonoids in Medical Research (2 papers). Chun‐Xia Wan collaborates with scholars based in China and United States. Chun‐Xia Wan's co-authors include Qizhu Tang, Sihui Huang, Man Xu, Wei Deng, Qingqing Wu, Di Fan, Huibo Wang, Hai‐Han Liao, Libo Liu and Zhen‐Guo Ma and has published in prestigious journals such as Journal of Cellular Physiology, Cell Death and Disease and Molecular Nutrition & Food Research.

In The Last Decade

Chun‐Xia Wan

10 papers receiving 333 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Chun‐Xia Wan China	10	189	86	56	41	35	10	334
Tianqi Tao China	12	179 0.9×	63 0.7×	60 1.1×	32 0.8×	25 0.7×	32	353
Zhirui Fang China	12	212 1.1×	76 0.9×	34 0.6×	45 1.1×	34 1.0×	19	399
Dennis Jine-Yuan Hsieh Taiwan	13	201 1.1×	64 0.7×	73 1.3×	28 0.7×	39 1.1×	20	425
Yuanna Ling China	9	214 1.1×	154 1.8×	57 1.0×	38 0.9×	67 1.9×	12	423
Uddipak Rai India	7	161 0.9×	60 0.7×	37 0.7×	25 0.6×	32 0.9×	11	347
Gen‐Shui Zhang China	14	212 1.1×	89 1.0×	86 1.5×	65 1.6×	47 1.3×	18	466
Swati Prakash India	7	157 0.8×	61 0.7×	36 0.6×	23 0.6×	29 0.8×	14	344
Junmei Ye China	14	223 1.2×	63 0.7×	81 1.4×	32 0.8×	47 1.3×	27	431
Mingtai Chen China	10	196 1.0×	107 1.2×	66 1.2×	23 0.6×	67 1.9×	44	426
Qianqian Dong China	10	226 1.2×	79 0.9×	74 1.3×	26 0.6×	32 0.9×	23	464

Countries citing papers authored by Chun‐Xia Wan

Since Specialization

Citations

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

Fields of papers citing papers by Chun‐Xia Wan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chun‐Xia Wan. 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 Chun‐Xia Wan. The network helps show where Chun‐Xia Wan may publish in the future.

Co-authorship network of co-authors of Chun‐Xia Wan

This figure shows the co-authorship network connecting the top 25 collaborators of Chun‐Xia Wan. A scholar is included among the top collaborators of Chun‐Xia Wan 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 Chun‐Xia Wan. Chun‐Xia Wan 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

Liu, Libo, Sihui Huang, Man Xu, et al.. (2021). Isoquercitrin protects HUVECs against high glucose‑induced apoptosis through regulating p53 proteasomal degradation. International Journal of Molecular Medicine. 48(1). 22 indexed citations

Huang, Sihui, Man Xu, Libo Liu, et al.. (2020). Autophagy is involved in the protective effect of p21 on LPS-induced cardiac dysfunction. Cell Death and Disease. 11(7). 554–554. 35 indexed citations

Xu, Man, Chun‐Xia Wan, Sihui Huang, et al.. (2019). Oridonin protects against cardiac hypertrophy by promoting P21-related autophagy. Cell Death and Disease. 10(6). 403–403. 67 indexed citations

Huang, Sihui, Man Xu, Jun Yang, et al.. (2019). Galangin ameliorates cardiac remodeling via the MEK1/2–ERK1/2 and PI3K–AKT pathways. Journal of Cellular Physiology. 234(9). 15654–15667. 49 indexed citations

Duan, Mingxia, Man Xu, Sihui Huang, et al.. (2019). Cordycepin ameliorates cardiac hypertrophy via activating the AMPKα pathway. Journal of Cellular and Molecular Medicine. 23(8). 5715–5727. 24 indexed citations

Huang, Sihui, Man Xu, Chun‐Xia Wan, et al.. (2018). Isoquercitrin Attenuated Cardiac Dysfunction Via AMPKα‐Dependent Pathways in LPS‐Treated Mice. Molecular Nutrition & Food Research. 62(24). e1800955–e1800955. 51 indexed citations

Che, Yan, Zhaopeng Wang, Yuan Yuan, et al.. (2018). Role of autophagy in a model of obesity: A long‑term high fat diet induces cardiac dysfunction. Molecular Medicine Reports. 18(3). 3251–3261. 28 indexed citations

Li, Jing, Yu‐Pei Yuan, Si‐Chi Xu, et al.. (2017). Arctiin protects against cardiac hypertrophy through inhibiting MAPKs and AKT signaling pathways. Journal of Pharmacological Sciences. 135(3). 97–104. 30 indexed citations

Wan, Chun‐Xia, Man Xu, Sihui Huang, et al.. (2017). Baicalein protects against endothelial cell injury by inhibiting the TLR4/NF‑κB signaling pathway. Molecular Medicine Reports. 17(2). 3085–3091. 17 indexed citations

10.

Wan, Chun‐Xia, et al.. (2015). Tetrandrine down-regulates expression of miRNA-155 to inhibit signal-induced NF-κB activation in a rat model of diabetes mellitus.. PubMed. 8(3). 4024–30. 11 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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