Hua Wang

3.9k total citations · 1 hit paper
126 papers, 2.7k citations indexed

About

Hua Wang is a scholar working on Molecular Biology, Plant Science and Genetics. According to data from OpenAlex, Hua Wang has authored 126 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 61 papers in Molecular Biology, 26 papers in Plant Science and 17 papers in Genetics. Recurrent topics in Hua Wang's work include Telomeres, Telomerase, and Senescence (10 papers), CRISPR and Genetic Engineering (8 papers) and Plant Reproductive Biology (8 papers). Hua Wang is often cited by papers focused on Telomeres, Telomerase, and Senescence (10 papers), CRISPR and Genetic Engineering (8 papers) and Plant Reproductive Biology (8 papers). Hua Wang collaborates with scholars based in China, United States and United Kingdom. Hua Wang's co-authors include Kristian Helin, Hai Huang, Xuejun Jiang, Heng Huang, Lin Liu, Zheng Fan, Ronald C. Hendrickson, Pavel V. Shliaha, Matthew M. Miele and Wanmei Jin and has published in prestigious journals such as Nature, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Hua Wang

116 papers receiving 2.6k citations

Hit Papers

H3K4me3 regulates RNA polymerase II promoter-proximal pau... 2023 2026 2024 2025 2023 50 100 150
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.

  1. H3K4me3 regulates RNA polymerase II promoter-proximal pause-release
    2023 186 citations Hua Wang, Xuejun Jiang et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hua Wang China 30 1.6k 772 226 171 155 126 2.7k
Tauno Metsalu Estonia 6 1.5k 0.9× 527 0.7× 226 1.0× 160 0.9× 368 2.4× 6 3.2k
Zihao He China 25 1.2k 0.8× 384 0.5× 294 1.3× 231 1.4× 365 2.4× 83 2.8k
Hyun-Kyung Kim South Korea 27 1.4k 0.9× 393 0.5× 142 0.6× 127 0.7× 253 1.6× 97 3.0k
Shihua Zhang China 27 1.1k 0.7× 320 0.4× 164 0.7× 96 0.6× 267 1.7× 108 2.3k
Shen Zhang China 22 669 0.4× 382 0.5× 252 1.1× 190 1.1× 96 0.6× 66 1.9k
Bing Zhang China 31 2.0k 1.3× 1.3k 1.6× 200 0.9× 167 1.0× 135 0.9× 136 3.3k
Xiaoyong Liu China 27 955 0.6× 699 0.9× 149 0.7× 82 0.5× 62 0.4× 230 2.7k
Jérôme Mariette France 17 1.3k 0.8× 339 0.4× 238 1.1× 217 1.3× 229 1.5× 27 2.7k

Countries citing papers authored by Hua Wang

Since Specialization
Citations

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

Fields of papers citing papers by Hua Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hua Wang

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

All Works

20 of 20 papers shown
1.
Tong, Yingying, Jie Sun, Jia Xu, et al.. (2025). Stable production of immortalized hPC-MSC-derived extracellular vesicles: integrated cargo analysis and functional validation. Stem Cell Research & Therapy. 16(1). 619–619. 1 indexed citations
2.
Alpsoy, Aktan, Robin L. Armstrong, Richard P. Koche, et al.. (2025). Addressing the specific roles of histone modifications in transcriptional repression. Nature Communications. 16(1). 11326–11326.
3.
Mao, Xiao, Zhen Liu, Na Jiang, et al.. (2025). CETN3 deficiency induces microcephaly by disrupting neural stem/progenitor cell fate through impaired centrosome assembly and RNA splicing. EMBO Molecular Medicine. 17(10). 2735–2761.
4.
Su, Na, Yihua Li, Qingqing Yan, et al.. (2025). Qualitative and quantitative study of the anatomical characteristics of Phyllostachys edulis rhizome. Wood Science and Technology. 60(1). 1 indexed citations
5.
Sun, Pei, et al.. (2024). Genome-Wide Analysis of the Hsf Gene Family in Rosa chinensis and RcHsf17 Function in Thermotolerance. International Journal of Molecular Sciences. 26(1). 287–287. 6 indexed citations
6.
Wang, Hua & Kristian Helin. (2024). Roles of H3K4 methylation in biology and disease. Trends in Cell Biology. 35(2). 115–128. 46 indexed citations
7.
Wang, Hua & Xuejun Jiang. (2023). cGASing mitochondria to fend off ferroptosis. Cell Research. 33(4). 263–264. 9 indexed citations
8.
Wang, Liang, Hongyu Chen, Gen Li, et al.. (2022). Polycystin-2 mediates mechanical tension-induced osteogenic differentiation of human adipose-derived stem cells by activating transcriptional co-activator with PDZ-binding motif. Frontiers in Physiology. 13. 917510–917510. 5 indexed citations
9.
Wang, Hua, et al.. (2018). De novo assembly and functional annotation of transcriptome data of Rhododendron pulchurum cv. Baifeng 4 leaf.. Acta Agriculturae Zhejiangensis. 30(7). 1149–1159. 1 indexed citations
10.
Wang, Hua, Jianfu Wang, Xinrong Wang, et al.. (2016). Association analysis of CAST gene polymorphism with meat quality in five sheep breeds. 28(8). 1314. 2 indexed citations
11.
Sun, Yan, et al.. (2015). Standardization of Leaf Sampling Technique in Jackfruit Nutrient Status Diagnosis. Agricultural Sciences. 6(2). 232–237. 3 indexed citations
12.
Wang, Hua. (2015). Study on Distribution Disciplines of Syndromes in Chronic Gastritis. Liaoning zhongyi zazhi. 1 indexed citations
13.
Jin, Wanmei, Yuanhua Wang, & Hua Wang. (2014). Adventitious shoot regeneration from leaves of apple rootstock ‘Pingyitiancha’ (Malus hupehensis var. pinyiensis) and genetic fidelity of regenerated plantlets using SSR markers. Canadian Journal of Plant Science. 94(8). 1345–1354. 8 indexed citations
14.
Wang, Hua. (2013). The Nitrogen Absorption Effect of Azolla imbricata under Different Ratios of Nitrogen Source. 3 indexed citations
15.
Wang, Hua, Ping Zhao, Dirk Hölscher, et al.. (2011). Nighttime sap flow of Acacia mangium and its implications for nighttime transpiration and stem water storage. Journal of Plant Ecology. 5(3). 294–304. 40 indexed citations
16.
Wang, Hua. (2007). Ecological effect of rice rhizosphere microbes under water regimes and nitrogen fertilizer with split application in paddy field.. Journal of Zhejiang University Agriculture and Life Sciences. 1 indexed citations
17.
Wang, Xuezheng, Hua Wang, Fengzhi Wu, & Bo Liu. (2007). Effects of cinnamic acid on the physiological characteristics of cucumber seedlings under salt stress. Frontiers of Agriculture in China. 1(1). 58–61. 14 indexed citations
18.
Wang, Hua. (2006). Distribution of Microsatellite from Complete Sequence of Arabidopsis thaliana Chloroplast DNA. Zhongguo shengwu huaxue yu fenzi shengwu xuebao. 3 indexed citations
19.
20.
Wang, Hua. (2003). Advances in the Study of Biological Effect of Amino Acids. T'u Jang T'ung Pao.

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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