Hongru Zhou

861 total citations
8 papers, 701 citations indexed

About

Hongru Zhou is a scholar working on Molecular Biology, Cancer Research and Genetics. According to data from OpenAlex, Hongru Zhou has authored 8 papers receiving a total of 701 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 3 papers in Cancer Research and 2 papers in Genetics. Recurrent topics in Hongru Zhou's work include Adipokines, Inflammation, and Metabolic Diseases (2 papers), Cancer-related molecular mechanisms research (2 papers) and Neurogenetic and Muscular Disorders Research (2 papers). Hongru Zhou is often cited by papers focused on Adipokines, Inflammation, and Metabolic Diseases (2 papers), Cancer-related molecular mechanisms research (2 papers) and Neurogenetic and Muscular Disorders Research (2 papers). Hongru Zhou collaborates with scholars based in China, United States and Canada. Hongru Zhou's co-authors include Lawrence J. Hayward, Robert H. Brown, Diane McKenna‐Yasek, Peter C. Sapp, Thomas J. Kwiatkowski, Daryl A. Bosco, Christopher J. Burke, Schahram Akbarian, Hongyu Ruan and Eduardo Gascon and has published in prestigious journals such as Journal of Clinical Investigation, Nature Medicine and Human Molecular Genetics.

In The Last Decade

Hongru Zhou

8 papers receiving 690 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Hongru Zhou China	7	467	394	258	100	84	8	701
Laurie Destroismaisons Canada	8	525 1.1×	431 1.1×	252 1.0×	92 0.9×	129 1.5×	10	857
Somasish Ghosh Dastidar United States	11	367 0.8×	179 0.5×	99 0.4×	69 0.7×	104 1.2×	21	639
Amanda M. Gleixner United States	15	492 1.1×	300 0.8×	159 0.6×	96 1.0×	72 0.9×	20	714
Hien Zhao United States	11	383 0.8×	239 0.6×	77 0.3×	294 2.9×	101 1.2×	21	689
Jackie S. de Belleroche United Kingdom	11	304 0.7×	250 0.6×	131 0.5×	87 0.9×	92 1.1×	11	574
Bhuvaneish T. Selvaraj United Kingdom	15	354 0.8×	317 0.8×	174 0.7×	164 1.6×	113 1.3×	30	709
Charlotte Ridler United States	9	536 1.1×	668 1.7×	424 1.6×	209 2.1×	171 2.0×	68	1.1k
Jenna M. Gregory United Kingdom	15	346 0.7×	474 1.2×	229 0.9×	99 1.0×	153 1.8×	38	739
Javier H. Jara United States	14	249 0.5×	434 1.1×	271 1.1×	175 1.8×	106 1.3×	15	677
Nicholas J. Maragakis United States	8	660 1.4×	590 1.5×	434 1.7×	275 2.8×	134 1.6×	11	1.1k

Countries citing papers authored by Hongru Zhou

Since Specialization

Citations

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

Fields of papers citing papers by Hongru Zhou

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hongru Zhou

This figure shows the co-authorship network connecting the top 25 collaborators of Hongru Zhou. A scholar is included among the top collaborators of Hongru Zhou 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 Hongru Zhou. Hongru Zhou is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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8 of 8 papers shown

Wu, Xuan, et al.. (2025). Tongxinluo alleviates myocardial ischemia–reperfusion injury by inhibiting the pyroptosis of endothelial cells via the NLRP3/Caspase-1/GSDMD signaling pathway. Journal of Molecular Histology. 56(5). 302–302. 1 indexed citations

Zhou, Hongru, Tongxing Wang, Yuanyuan Hao, et al.. (2022). Jinlida Granules Reduce Obesity in db/db Mice by Activating Beige Adipocytes. BioMed Research International. 2022(1). 4483009–4483009. 7 indexed citations

Huang, Dan, et al.. (2020). The role of collateral disease theory in the prevention and treatment of atherosclerosis in post-menopausal women: a narrative review. Annals of Palliative Medicine. 9(4). 2314–2322. 12 indexed citations

Zhang, Hui, Yuanyuan Hao, Cong Wei, et al.. (2019). Chinese medicine Jinlida granules improve high-fat-diet induced metabolic disorders via activation of brown adipose tissue in mice. Biomedicine & Pharmacotherapy. 114. 108781–108781. 22 indexed citations

Gascon, Eduardo, Hongyu Ruan, Sandra Almeida, et al.. (2014). Alterations in microRNA-124 and AMPA receptors contribute to social behavioral deficits in frontotemporal dementia. Nature Medicine. 20(12). 1444–1451. 152 indexed citations

Tradewell, Miranda L., Sandra Minotti, Wencheng Yang, et al.. (2014). Cytoplasmic sequestration of FUS/TLS associated with ALS alters histone marks through loss of nuclear protein arginine methyltransferase 1. Human Molecular Genetics. 24(3). 773–786. 50 indexed citations

Bosco, Daryl A., Hongru Zhou, Christopher J. Burke, et al.. (2010). Mutant FUS proteins that cause amyotrophic lateral sclerosis incorporate into stress granules. Human Molecular Genetics. 19(21). 4160–4175. 412 indexed citations

Hayward, Lawrence J., Ming-Yang Lee, Hongru Zhou, et al.. (2008). Targeted mutation of mouse skeletal muscle sodium channel produces myotonia and potassium-sensitive weakness. Journal of Clinical Investigation. 118(4). 1437–49. 45 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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