Han Zhou

639 total citations · 1 hit paper
10 papers, 432 citations indexed

About

Han Zhou is a scholar working on Molecular Biology, Physiology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Han Zhou has authored 10 papers receiving a total of 432 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 3 papers in Physiology and 2 papers in Cellular and Molecular Neuroscience. Recurrent topics in Han Zhou's work include Pain Mechanisms and Treatments (3 papers), Epilepsy research and treatment (2 papers) and Neuroscience and Neuropharmacology Research (2 papers). Han Zhou is often cited by papers focused on Pain Mechanisms and Treatments (3 papers), Epilepsy research and treatment (2 papers) and Neuroscience and Neuropharmacology Research (2 papers). Han Zhou collaborates with scholars based in China, United States and Canada. Han Zhou's co-authors include Gene Liau, Isabel Aznarez, Lori L. Isom, Anne Christiansen, Chunling Chen, Steven C. Leiser, Meena Meena, Qian Lin, Hyun Yong Jeon and Barry Ticho and has published in prestigious journals such as Nature Communications, PLoS ONE and Brain.

In The Last Decade

Han Zhou

10 papers receiving 421 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Antisense oligonucleotides increase Scn1a expression and reduce seizures and SUDEP incidence in a mouse model of Dravet syndrome

2020 213 citations Han Zhou, Chunling Chen et al. Science Translational Medicine profile →

Peers

Han Zhou

MB

GENET

PMH

CMN

GENET

Adeline Ngoh United Kingdom

Guo‐Wang Lin China

Kazushi Miya Japan

Sabine Grønborg Denmark

Elizabeth Butler United States

Dimitar N. Azmanov Australia

Martino Montomoli Italy

Gary Hsich United States

Lucia Abela Switzerland

Manuela Pendziwiat Germany

Adeline Ngoh United Kingdom

Han Zhou

136 ×0.5

MB

175 ×1.2

GENET

136 ×1.0

PMH

69 ×0.7

CMN

12 ×0.3

GENET

Citations per year, relative to Han Zhou Han Zhou (= 1×) peers Adeline Ngoh

Countries citing papers authored by Han Zhou

Since Specialization

Citations

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

Fields of papers citing papers by Han Zhou

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Han Zhou

This figure shows the co-authorship network connecting the top 25 collaborators of Han Zhou. A scholar is included among the top collaborators of Han 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 Han Zhou. Han 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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10 of 10 papers shown

1.

Zhou, Hao, Siyuan Zhu, Han Zhou, et al.. (2024). Metformin mitigates adipogenesis of fibro-adipogenic progenitors after rotator cuff tears via activating mTOR/ULK1-mediated autophagy. American Journal of Physiology-Cell Physiology. 326(6). C1590–C1603. 5 indexed citations

2.

Yuan, Yukun, Luis F. Lopez‐Santiago, Chunling Chen, et al.. (2023). Antisense oligonucleotides restore excitability, GABA signalling and sodium current density in a Dravet syndrome model. Brain. 147(4). 1231–1246. 22 indexed citations

3.

Chen, Hongjin, Chenlong Liao, Xiaosheng Yang, et al.. (2023). Multi-omics analysis revealed the role of CYP1A2 in the induction of mechanical allodynia in type 1 diabetes. Frontiers in Genetics. 14. 3 indexed citations

4.

Zhou, Han, Chunling Chen, Anne Christiansen, et al.. (2020). Antisense oligonucleotides increase Scn1a expression and reduce seizures and SUDEP incidence in a mouse model of Dravet syndrome. Science Translational Medicine. 12(558). 213 indexed citations breakdown →

5.

Lim, Kian‐Huat, Han Zhou, Hyun Yong Jeon, et al.. (2020). Antisense oligonucleotide modulation of non-productive alternative splicing upregulates gene expression. Nature Communications. 11(1). 3501–3501. 138 indexed citations

6.

Liao, Chenlong, Han Zhou, Xiaosheng Yang, & Yi Li. (2020). Research on the pathological mechanisms of nerve decompression in relieving tactile allodynia in diabetic rats. Zhonghua shenjing waike zazhi. 36(2). 194–199. 1 indexed citations

7.

Zhou, Han, et al.. (2019). <p>Gene expression profiling reveals candidate biomarkers and probable molecular mechanism in diabetic peripheral neuropathy</p>. Diabetes Metabolic Syndrome and Obesity. Volume 12. 1213–1223. 11 indexed citations

8.

Liu, Qi, Han Zhou, Juan Cui, Zhiwei Cao, & Ying Xu. (2012). Reconsideration of In-Silico siRNA Design Based on Feature Selection: A Cross-Platform Data Integration Perspective. PLoS ONE. 7(5). e37879–e37879. 11 indexed citations

9.

Liu, Qi, Han Zhou, Kui Zhang, et al.. (2012). In Silico Target-Specific siRNA Design Based on Domain Transfer in Heterogeneous Data. PLoS ONE. 7(12). e50697–e50697. 5 indexed citations

10.

Liu, Qi, Han Zhou, Lin Liu, et al.. (2011). Multi-target QSAR modelling in the analysis and design of HIV-HCV co-inhibitors: an in-silico study. BMC Bioinformatics. 12(1). 294–294. 23 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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