Hua Wang

3.9k citations
126 papers · 2.7k indexed · 1 hit paper · h-index 30
Topics
Telomeres, Telomerase, and Senescence (10 papers)CRISPR and Genetic Engineering (8 papers)Plant Reproductive Biology (8 papers)

In The Last Decade

Hua Wang

116 papers receiving 2.6k citations

Hit Papers

H3K4me3 regulates RNA polymerase II promoter-proximal pau...2023202620242025202350100150

Peers

Hua Wang
Comparison fields: 5 of 141
  • Molecular Biology 1.6k
  • Plant Science 772
  • Genetics 226
  • Physiology 171
  • Cancer Research 155
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Hua Wang relative to Tauno Metsalu Estonia Tauno Metsalu's profile →
Citations per field
00.5×2.7×
Tauno Metsalu · 1×
Citations per year

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
#WorkIndexed citations
1 1
2 0
3 0
4 1
5 6
6 46
7 9
8 5
9
De novo assembly and functional annotation of transcriptome data of Rhododendron pulchurum cv. Baifeng 4 leaf.
1
10
Association analysis of CAST gene polymorphism with meat quality in five sheep breeds
2
11 3
12
Study on Distribution Disciplines of Syndromes in Chronic Gastritis
1
13 8
14
The Nitrogen Absorption Effect of Azolla imbricata under Different Ratios of Nitrogen Source
3
15 40
16
Ecological effect of rice rhizosphere microbes under water regimes and nitrogen fertilizer with split application in paddy field.
1
17 14
18
Distribution of Microsatellite from Complete Sequence of Arabidopsis thaliana Chloroplast DNA
3
19 164
20
Advances in the Study of Biological Effect of Amino Acids
0

About Hua Wang

Hua Wang is a scholar working on Aging, Molecular Biology and Plant Science, having authored 126 papers that have together received 2.7k indexed citations. Recurring topics across this work include Telomeres, Telomerase, and Senescence (10 papers), CRISPR and Genetic Engineering (8 papers) and Plant Reproductive Biology (8 papers). The work is most often cited by research in Molecular Biology (1.6k citations), Plant Science (772 citations) and Aging (32 citations). Hua Wang has collaborated with scholars based in China, United States and United Kingdom. Frequent 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. Their work appears in journals such as Nature, Nucleic Acids Research and Journal of Biological Chemistry.

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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