Nian Wang

3.1k total citations · 1 hit paper
66 papers, 2.2k citations indexed

About

Nian Wang is a scholar working on Plant Science, Molecular Biology and Genetics. According to data from OpenAlex, Nian Wang has authored 66 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Plant Science, 40 papers in Molecular Biology and 6 papers in Genetics. Recurrent topics in Nian Wang's work include Plant Gene Expression Analysis (15 papers), Plant Molecular Biology Research (14 papers) and Plant nutrient uptake and metabolism (10 papers). Nian Wang is often cited by papers focused on Plant Gene Expression Analysis (15 papers), Plant Molecular Biology Research (14 papers) and Plant nutrient uptake and metabolism (10 papers). Nian Wang collaborates with scholars based in China, United Kingdom and United States. Nian Wang's co-authors include Shaohua Li, Linchuan Fang, H. P. Xin, Daolin Tang, Rui Kang, Runliu Wu, Jie Luo, Yu Zheng, Zhenchang Liang and Lina Wang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Nano Letters and PLoS ONE.

In The Last Decade

Nian Wang

62 papers receiving 2.1k citations

Hit Papers

The BET family in immunity and disease 2021 2026 2022 2024 2021 50 100 150 200
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. The BET family in immunity and disease
    2021 200 citations Nian Wang, Runliu Wu et al. Signal Transduction and Targeted Therapy profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nian Wang China 27 1.4k 1.3k 212 171 109 66 2.2k
Ting Zhou China 27 1.4k 1.0× 725 0.6× 283 1.3× 167 1.0× 29 0.3× 145 2.3k
Xiansheng Zhang China 31 2.2k 1.6× 1.8k 1.4× 216 1.0× 73 0.4× 41 0.4× 70 3.0k
Huan Wang China 26 1.4k 1.0× 1.0k 0.8× 128 0.6× 159 0.9× 37 0.3× 103 2.3k
Meng Yuan China 29 2.9k 2.1× 1.1k 0.9× 165 0.8× 132 0.8× 31 0.3× 119 3.6k
Fuguang Li China 40 3.8k 2.8× 2.4k 1.9× 129 0.6× 72 0.4× 57 0.5× 160 4.5k
Jinrui Shi United States 19 2.1k 1.5× 1.2k 0.9× 208 1.0× 96 0.6× 39 0.4× 29 2.5k
Meiru Li China 24 1.5k 1.1× 1.3k 1.0× 170 0.8× 30 0.2× 119 1.1× 70 2.0k
Zhi Wang China 33 3.7k 2.7× 3.0k 2.3× 349 1.6× 75 0.4× 73 0.7× 122 5.0k

Countries citing papers authored by Nian Wang

Since Specialization
Citations

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

Fields of papers citing papers by Nian Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nian Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Nian Wang. A scholar is included among the top collaborators of Nian 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 Nian Wang. Nian 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.
Wang, Nian, Qingying Meng, Zhiyong Xu, et al.. (2025). Gossypium latifolium genome reveals the genetic basis of domestication of upland cotton from semi-wild races to cultivars. The Crop Journal. 13(3). 929–941. 2 indexed citations
2.
Li, Wenting, Nian Wang, Xin Lv, et al.. (2024). Mass spectrometry unveils heat-induced changes in yolk oxylipins and key lipid molecules during home cooking. Journal of Advanced Research. 74. 73–86. 1 indexed citations
3.
Li, Tianliang, Nian Wang, Wei Meng, et al.. (2024). Nerve‐Inspired Optical Waveguide Stretchable Sensor Fusing Wireless Transmission and AI Enabling Smart Tele‐Healthcare. Advanced Science. 12(4). e2410395–e2410395. 10 indexed citations
4.
Li, Tianliang, Yuheng Zheng, Nian Wang, et al.. (2024). High Temperature-Pressure Metalized Optical Fiber Dual FP Sensor With Welding Encapsulation. IEEE Sensors Journal. 24(16). 25724–25733. 5 indexed citations
5.
Li, Tianliang, Nian Wang, Xue Han, et al.. (2024). A Fingertip Optical Fiber Composite Sensor With Conformal Design for Robotic Perception of Tactile Force. IEEE/ASME Transactions on Mechatronics. 30(2). 1523–1535. 1 indexed citations
6.
7.
Zhang, Yan, et al.. (2023). Uncovering the Role of PdePrx12 Peroxidase in Enhancing Disease Resistance in Poplar Trees. Journal of Fungi. 9(4). 410–410. 9 indexed citations
8.
9.
Chen, Piaopiao, Yunjin Bai, Nian Wang, et al.. (2022). Homogeneous Binary Visual and Fluorescence Detection of Tetanus Toxoid in Clinical Samples Based on Enzyme-Free Parallel Hybrid Chain Reaction. Nano Letters. 22(4). 1710–1717. 52 indexed citations
10.
Luo, Jie, et al.. (2022). The chromosome-scale genome sequence of Triadica sebifera provides insight into fatty acids and anthocyanin biosynthesis. Communications Biology. 5(1). 786–786. 7 indexed citations
11.
Zhang, Yao, Hua‐Ming Xiao, Xin Lv, et al.. (2022). Profiling and spatial distribution of phenolic compounds in rapeseed by two-step extraction strategy and targeted metabolomics combined with chemometrics. Food Chemistry. 401. 134151–134151. 14 indexed citations
12.
Wang, Nian, Runliu Wu, Daolin Tang, & Rui Kang. (2021). The BET family in immunity and disease. Signal Transduction and Targeted Therapy. 6(1). 23–23. 200 indexed citations breakdown →
13.
14.
Cao, Pei, et al.. (2018). Construction of a high-density genetic map and its application for leaf shape QTL mapping in poplar. Planta. 248(5). 1173–1185. 17 indexed citations
15.
Long, Yan, Nian Wang, Jun Zou, et al.. (2017). Breeding histories and selection criteria for oilseed rape in Europe and China identified by genome wide pedigree dissection. Scientific Reports. 7(1). 1916–1916. 15 indexed citations
16.
Ma, Ling, Guotian Liu, Nian Wang, et al.. (2014). Transcriptomic Analysis of Grape (Vitis vinifera L.) Leaves after Exposure to Ultraviolet C Irradiation. PLoS ONE. 9(12). e113772–e113772. 22 indexed citations
17.
Wang, Nian, Li Feng, Biyun Chen, et al.. (2014). Genome-wide investigation of genetic changes during modern breeding of Brassica napus. Theoretical and Applied Genetics. 127(8). 1817–1829. 45 indexed citations
18.
Lyu, Zhong‐Shi, Zhaomin Mao, Honglian Wang, et al.. (2013). MiR-181b targets Six2 and inhibits the proliferation of metanephric mesenchymal cells in vitro. Biochemical and Biophysical Research Communications. 440(4). 495–501. 20 indexed citations
19.
Wang, Nian, Linchuan Fang, H. P. Xin, Lijun Wang, & Shaohua Li. (2012). Construction of a high-density genetic map for grape using next generation restriction-site associated DNA sequencing. BMC Plant Biology. 12(1). 148–148. 97 indexed citations
20.
Tian, Fang, Nian Wang, Congcong Jiang, et al.. (2010). Analysis of QTLs for erucic acid and oil content in seeds on A8 chromosome and the linkage drag between the alleles for the two traits in Brassica napus. Journal of genetics and genomics. 37(4). 231–240. 25 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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