Bai‐Chen Wang

2.0k total citations
65 papers, 1.5k citations indexed

About

Bai‐Chen Wang is a scholar working on Molecular Biology, Plant Science and Spectroscopy. According to data from OpenAlex, Bai‐Chen Wang has authored 65 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Molecular Biology, 44 papers in Plant Science and 4 papers in Spectroscopy. Recurrent topics in Bai‐Chen Wang's work include Photosynthetic Processes and Mechanisms (23 papers), Plant Molecular Biology Research (23 papers) and Plant Stress Responses and Tolerance (13 papers). Bai‐Chen Wang is often cited by papers focused on Photosynthetic Processes and Mechanisms (23 papers), Plant Molecular Biology Research (23 papers) and Plant Stress Responses and Tolerance (13 papers). Bai‐Chen Wang collaborates with scholars based in China, United States and Slovakia. Bai‐Chen Wang's co-authors include Qing Chao, Tian-Cong Lu, Zhuo Shen, Zhifang Gao, Hongxia Wang, Guifeng Liu, Yuxian Zhu, Chuanping Yang, Chunxiang Fu and Lijun Liu and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and The Plant Cell.

In The Last Decade

Bai‐Chen Wang

62 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bai‐Chen Wang China 21 988 940 89 58 51 65 1.5k
Stephen Chivasa United Kingdom 23 1.7k 1.7× 947 1.0× 90 1.0× 54 0.9× 50 1.0× 47 2.3k
Zhangcheng Tang China 15 1.7k 1.8× 952 1.0× 57 0.6× 82 1.4× 45 0.9× 23 2.0k
Xiuli Hu China 26 2.0k 2.1× 1.0k 1.1× 56 0.6× 45 0.8× 48 0.9× 54 2.4k
Borjana Arsova Germany 14 663 0.7× 579 0.6× 49 0.6× 27 0.5× 32 0.6× 21 1.0k
Chun Pong Lee Australia 22 926 0.9× 1.1k 1.2× 56 0.6× 46 0.8× 28 0.5× 28 1.5k
Martin Černý Czechia 22 1.4k 1.4× 764 0.8× 47 0.5× 38 0.7× 38 0.7× 61 1.7k
Wei-Ai Su China 13 1.7k 1.7× 894 1.0× 54 0.6× 101 1.7× 39 0.8× 16 2.0k
Simon Stael Belgium 21 1.4k 1.5× 1.3k 1.3× 48 0.5× 26 0.4× 23 0.5× 43 2.0k
Rosario Vera‐Estrella Mexico 25 1.7k 1.7× 1.1k 1.2× 34 0.4× 98 1.7× 65 1.3× 44 2.2k
Tomáš Takáč Czechia 23 1.2k 1.2× 757 0.8× 32 0.4× 29 0.5× 52 1.0× 53 1.6k

Countries citing papers authored by Bai‐Chen Wang

Since Specialization
Citations

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

Fields of papers citing papers by Bai‐Chen Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bai‐Chen Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Bai‐Chen Wang. A scholar is included among the top collaborators of Bai‐Chen 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 Bai‐Chen Wang. Bai‐Chen 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.
Huang, Li‐Chun, Bai‐Chen Wang, Yingxin Zhong, et al.. (2025). Enhancing quality traits in staple crops: current advances and future perspectives. Journal of genetics and genomics. 52(12). 1438–1459. 2 indexed citations
2.
Ren, Xiaolong, Xiaoxia Zhang, Tian Zhang, et al.. (2024). The BNB–GLID module regulates germline fate determination in Marchantia polymorpha. The Plant Cell. 36(9). 3824–3837. 1 indexed citations
3.
4.
Jiang, Tong, Geng Sun, Pei Wang, et al.. (2023). Activated malate circulation contributes to the manifestation of light-dependent mosaic symptoms. Cell Reports. 42(4). 112333–112333. 24 indexed citations
5.
6.
Shen, Zhuo, Li Guo, Fengqin Dong, et al.. (2023). Integrating ATAC-seq and RNA-seq to identify differentially expressed genes with chromatin-accessible changes during photosynthetic establishment in Populus leaves. Plant Molecular Biology. 113(1-3). 59–74. 2 indexed citations
7.
Li, Gaoke, Xiu Yang, Boyan Liu, et al.. (2022). Identification and Fine Mapping of the Recessive Gene BK-5, Which Affects Cell Wall Biosynthesis and Plant Brittleness in Maize. International Journal of Molecular Sciences. 23(2). 814–814. 8 indexed citations
8.
Guo, Li, Yuefeng Wang, Fengqin Dong, et al.. (2022). PdeHCA2 affects biomass in Populus by regulating plant architecture, the transition from primary to secondary growth, and photosynthesis. Planta. 255(5). 101–101. 5 indexed citations
9.
Gao, Zhifang, et al.. (2022). A dynamic phosphoproteomic analysis provides insight into the C4 plant maize (Zea mays L.) response to natural diurnal changes. The Plant Journal. 113(2). 291–307. 5 indexed citations
10.
Gao, Zhifang, Zhuo Shen, Qing Chao, et al.. (2020). Large-Scale Proteomic and Phosphoproteomic Analyses of Maize Seedling Leaves During De-Etiolation. Genomics Proteomics & Bioinformatics. 18(4). 397–414. 16 indexed citations
11.
Li, Huahua, Xiaoxue Mei, Bing-Feng Liu, et al.. (2019). Insights on acetate-ethanol fermentation by hydrogen-producing Ethanoligenens under acetic acid accumulation based on quantitative proteomics. Environment International. 129. 1–9. 30 indexed citations
12.
Wang, Yuefeng, Qing Chao, Zhe Li, et al.. (2019). Large-Scale Identification and Time-Course Quantification of Ubiquitylation Events during Maize Seedling De-Etiolation. Genomics Proteomics & Bioinformatics. 17(6). 603–622. 13 indexed citations
13.
Chao, Qing, Bai‐Chen Wang, Qian Zhang, et al.. (2019). Function analysis of ZmNAC33, a positive regulator in drought stress response in Arabidopsis. Plant Physiology and Biochemistry. 145. 174–183. 27 indexed citations
14.
Feng, Xue, et al.. (2018). Application and Prospect of Molecular Module-based Crop Design Technology in Maize Breeding. Bulletin of Chinese Academy of Sciences (Chinese Version). 33(9). 923–931. 1 indexed citations
15.
Wang, Bai‐Chen, et al.. (2018). Fifteen-and-a-half syndrome: A rare presentation of pontine infarction. Clinical Neurology and Neurosurgery. 173. 150–153.
16.
Li, Yuan, et al.. (2017). Histone Acetylation Modifications Affect Tissue-Dependent Expression of Poplar Homologs of C4 Photosynthetic Enzyme Genes. Frontiers in Plant Science. 8. 950–950. 10 indexed citations
17.
Chao, Qing, Zhifang Gao, Yuefeng Wang, et al.. (2016). The proteome and phosphoproteome of maize pollen uncovers fertility candidate proteins. Plant Molecular Biology. 91(3). 287–304. 27 indexed citations
18.
Wang, Bai‐Chen, et al.. (2014). Proteomic analysis of the cold stress response in the leaves of birch (Betula platyphylla Suk). Plant Omics. 7(4). 195–204. 10 indexed citations
19.
Chen, Yibo, Tian-Cong Lu, Yuefeng Wang, et al.. (2014). A systematic proteomic analysis of NaCl-stressed germinating maize seeds. Molecular Biology Reports. 41(5). 3431–3443. 16 indexed citations
20.
Wang, Bai‐Chen, et al.. (2003). The improvement on diamine silver stain methods of proteins two-dimensional electrophoresis. Zhiwu yanjiu. 23(1). 94–97. 3 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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