Meixia Che

795 total citations
10 papers, 581 citations indexed

About

Meixia Che is a scholar working on Molecular Biology, Neurology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Meixia Che has authored 10 papers receiving a total of 581 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 5 papers in Neurology and 3 papers in Cellular and Molecular Neuroscience. Recurrent topics in Meixia Che's work include Amyotrophic Lateral Sclerosis Research (4 papers), Alzheimer's disease research and treatments (2 papers) and Neurogenetic and Muscular Disorders Research (2 papers). Meixia Che is often cited by papers focused on Amyotrophic Lateral Sclerosis Research (4 papers), Alzheimer's disease research and treatments (2 papers) and Neurogenetic and Muscular Disorders Research (2 papers). Meixia Che collaborates with scholars based in China, United Kingdom and United States. Meixia Che's co-authors include Hong-Yu Hu, X.F. Steven Zheng, Hui‐Yun Wang, Ren Wang, Xiaoxing Li, Jian Zhao, Yajun Jiang, Yuanyuan Xie, Leilei Jiang and Hong‐Yu Hu and has published in prestigious journals such as Journal of Biological Chemistry, PLoS ONE and Scientific Reports.

In The Last Decade

Meixia Che

9 papers receiving 579 citations

Peers

Meixia Che

MB

NEURO

GENET

PHYSI

CMN

Elisa Lupino Italy

Erika N. Guerrero Panama

Chun‐Hung Yang Taiwan

Kengo Homma Japan

Illari Salvatori Italy

Tianna Zhao United States

Meredith V. Brown United States

Alessandra Mangolini Italy

Jennifer J. Marden United States

Rafael López‐Blanch Spain

Elisa Lupino Italy

Meixia Che

254 ×0.7

MB

191 ×0.8

NEURO

106 ×1.0

GENET

107 ×1.3

PHYSI

38 ×0.7

CMN

Citations per year, relative to Meixia Che Meixia Che (= 1×) peers Elisa Lupino

Countries citing papers authored by Meixia Che

Since Specialization

Citations

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

Fields of papers citing papers by Meixia Che

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Meixia Che

This figure shows the co-authorship network connecting the top 25 collaborators of Meixia Che. A scholar is included among the top collaborators of Meixia Che 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 Meixia Che. Meixia Che 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

1.

Wang, Ziyi, Ruhai Wang, Guo-Jin Tang, et al.. (2025). Single-Molecule Mechanochemical Mapping of Hierarchical Cu Coordination in High-Capacity Copper Storage Protein Csp1. The Journal of Physical Chemistry Letters. 16(41). 10584–10593.

2.

Dalal, Kush, Meixia Che, Aishwariya Sharma, et al.. (2017). Bypassing Drug Resistance Mechanisms of Prostate Cancer with Small Molecules that Target Androgen Receptor–Chromatin Interactions. Molecular Cancer Therapeutics. 16(10). 2281–2291. 27 indexed citations

3.

Zhao, Jian, et al.. (2016). Two mutations G335D and Q343R within the amyloidogenic core region of TDP-43 influence its aggregation and inclusion formation. Scientific Reports. 6(1). 23928–23928. 75 indexed citations

4.

Che, Meixia, Ren Wang, Xiaoxing Li, Hui‐Yun Wang, & X.F. Steven Zheng. (2015). Expanding roles of superoxide dismutases in cell regulation and cancer. Drug Discovery Today. 21(1). 143–149. 194 indexed citations

5.

Che, Meixia, et al.. (2015). TDP‐35 sequesters TDP‐43 into cytoplasmic inclusions through binding with RNA. FEBS Letters. 589(15). 1920–1928. 37 indexed citations

6.

Che, Meixia, et al.. (2013). Structural Transformation of the Amyloidogenic Core Region of TDP-43 Protein Initiates Its Aggregation and Cytoplasmic Inclusion. Journal of Biological Chemistry. 288(27). 19614–19624. 123 indexed citations

7.

Che, Meixia, et al.. (2012). A Redox-Sensitive Luciferase Assay for Determining the Localization and Topology of Endoplasmic Reticulum Proteins. PLoS ONE. 7(4). e35628–e35628. 9 indexed citations

8.

Jiang, Yajun, et al.. (2011). Interaction with Polyglutamine-expanded Huntingtin Alters Cellular Distribution and RNA Processing of Huntingtin Yeast Two-hybrid Protein A (HYPA). Journal of Biological Chemistry. 286(28). 25236–25245. 25 indexed citations

9.

Che, Meixia, Yajun Jiang, Yuanyuan Xie, Leilei Jiang, & Hong‐Yu Hu. (2011). Aggregation of the 35‐kDa fragment of TDP‐43 causes formation of cytoplasmic inclusions and alteration of RNA processing. The FASEB Journal. 25(7). 2344–2353. 59 indexed citations

10.

Hong, Jing, et al.. (2009). Interaction with synphilin‐1 promotes inclusion formation of α‐synuclein: mechanistic insights and pathological implication. The FASEB Journal. 24(1). 196–205. 32 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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