Baohua Wang

2.4k total citations
106 papers, 1.7k citations indexed

About

Baohua Wang is a scholar working on Plant Science, Molecular Biology and Genetics. According to data from OpenAlex, Baohua Wang has authored 106 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 68 papers in Plant Science, 35 papers in Molecular Biology and 11 papers in Genetics. Recurrent topics in Baohua Wang's work include Research in Cotton Cultivation (41 papers), Plant Virus Research Studies (17 papers) and Plant Molecular Biology Research (15 papers). Baohua Wang is often cited by papers focused on Research in Cotton Cultivation (41 papers), Plant Virus Research Studies (17 papers) and Plant Molecular Biology Research (15 papers). Baohua Wang collaborates with scholars based in China, Pakistan and United States. Baohua Wang's co-authors include Peng W. Chee, Wangzhen Guo, Hong‐Bin Zhang, Yaning Li, Xiefei Zhu, Qunsheng Li, Tianzhen Zhang, Tianzhen Zhang, Yongyi Bi and Andrew H. Paterson and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and The Science of The Total Environment.

In The Last Decade

Baohua Wang

99 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Baohua Wang China 23 1.1k 545 188 145 140 106 1.7k
Rajat Sapra United States 15 85 0.1× 973 1.8× 17 0.1× 35 0.2× 176 1.3× 23 1.4k
Guohai Zhang China 23 668 0.6× 715 1.3× 23 0.1× 15 0.1× 70 0.5× 100 1.5k
Shigeki Nakayama Japan 21 762 0.7× 503 0.9× 9 0.0× 15 0.1× 121 0.9× 95 1.4k
Fan Liang China 21 501 0.5× 1.0k 1.9× 32 0.2× 1 0.0× 253 1.8× 42 1.6k
Sung Gyun Kang South Korea 25 139 0.1× 1.5k 2.8× 30 0.2× 12 0.1× 139 1.0× 69 1.9k
Zhiming Zheng China 20 198 0.2× 569 1.0× 20 0.1× 5 0.0× 23 0.2× 101 1.2k
Weibing Yang China 22 1.3k 1.2× 814 1.5× 15 0.1× 3 0.0× 75 0.5× 51 1.7k
Hyun Sook Lee South Korea 21 91 0.1× 1.2k 2.2× 28 0.1× 29 0.2× 162 1.2× 50 1.7k
Mark G. Poolman United Kingdom 24 398 0.4× 1.5k 2.8× 14 0.1× 4 0.0× 58 0.4× 37 1.9k
Mónika Varga Hungary 23 887 0.8× 238 0.4× 3 0.0× 14 0.1× 84 0.6× 103 1.7k

Countries citing papers authored by Baohua Wang

Since Specialization
Citations

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

Fields of papers citing papers by Baohua Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Baohua Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Baohua Wang. A scholar is included among the top collaborators of Baohua 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 Baohua Wang. Baohua 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
2.
Wang, Bin, Yuelin Zhu, Yan Deng, et al.. (2025). Fine mapping and candidate gene analysis of the major QTL qSW-A03 for seed weight in Brassica napus. Theoretical and Applied Genetics. 138(4). 76–76. 2 indexed citations
3.
Triki, Houria, et al.. (2025). Chirped self-similar optical solitons in cascaded quadratic media beyond the slowly varying envelope approximation. The European Physical Journal Special Topics. 234(18). 5467–5479.
4.
Fang, Hui, Teame Gereziher Mehari, Ying Wu, et al.. (2024). Transcriptomic profiling reveals salt-responsive long non-coding RNAs and their putative target genes for improving salt tolerance in upland cotton (Gossypium hirsutum). Industrial Crops and Products. 216. 118744–118744. 4 indexed citations
5.
Mehari, Teame Gereziher, Marijana Škorić, Hui Fang, et al.. (2024). Insights into the role of GhCYP and GhTPS in the gossypol biosynthesis pathway via a multiomics and functional-based approach in cotton. Journal of Integrative Agriculture. 24(5). 1671–1687. 1 indexed citations
6.
Wang, Baohua, Wei Hui, Qiangqiang Zhao, et al.. (2024). Chemical Reaction of FA Cations Enables Efficient and Stable Perovskite Solar Cells. Small. 20(35). e2310455–e2310455. 5 indexed citations
7.
Zhang, Aixia, Muhammad Saeed, Junyi Li, et al.. (2024). A Comprehensive Analysis In Silico of KCS Genes in Maize Revealed Their Potential Role in Response to Abiotic Stress. Plants. 13(24). 3507–3507. 1 indexed citations
8.
Mehari, Teame Gereziher, Hui Fang, Dongmei Wang, et al.. (2023). Genome-wide identification of the geranylgeranyl pyrophosphate synthase (GGPS) gene family involved in chlorophyll synthesis in cotton. BMC Genomics. 24(1). 176–176. 8 indexed citations
9.
Anwar, Zunaira, et al.. (2023). Genomic Dynamics and Functional Insights under Salt Stress in Gossypium hirsutum L.. Genes. 14(5). 1103–1103. 13 indexed citations
11.
Wang, Baohua, et al.. (2022). An overview of salinity stress, mechanism of salinity tolerance and strategies for its management in cotton. Frontiers in Plant Science. 13. 59 indexed citations
12.
Xu, Jingjing, Wenwen An, Junping Wu, et al.. (2022). Genome-wide identification and analysis of ACP gene family in Sorghum bicolor (L.) Moench. BMC Genomics. 23(1). 538–538. 9 indexed citations
13.
Chen, Qi, et al.. (2021). Exploration of Candidate Genes for Fiber Length in Gossypium mustelinum Based on BSA-seq. SHILAP Revista de lepidopterología.
14.
Gao, Cong, Shuai Lu, Hao Xu, et al.. (2021). Bismuth Vanadium Oxide Can Promote Growth and Activity in Arabidopsis thaliana. Frontiers in Chemistry. 9. 766078–766078. 8 indexed citations
15.
Liu, Xijun, Wenjiao Xiao, Zhiguo Zhang, et al.. (2021). Geochronology, geochemistry, and Sr-Nd isotopes of Early Carboniferous magmatism in southern West Junggar, northwestern China: Implications for Junggar oceanic plate subduction. Journal of Arid Land. 13(11). 1163–1182. 2 indexed citations
16.
Liu, Xijun, Wenjiao Xiao, Zhiguo Zhang, et al.. (2021). Neoproterozoic I-type granites in the Central Tianshan Block (NW China): geochronology, geochemistry, and tectonic implications. Journal of Arid Land. 14(1). 82–101. 2 indexed citations
17.
Chen, Qingcai, Buzhou Tang, Xiaolong Wang, et al.. (2017). CNN-based ranking for biomedical entity normalization. BMC Bioinformatics. 18(S11). 385–385. 78 indexed citations
18.
Wang, Baohua, et al.. (2011). Present status, problems and prospects of molecular breeding of cotton (Gossypium) with resistance against Verticillium dahliae Kleb.. 2(5). 1–10. 2 indexed citations
19.
Wang, Baohua & Peng W. Chee. (2010). Application of advanced backcross QTL analysis in crop improvement. Journal of Plant Breeding and Crop Science. 2(8). 221–232. 9 indexed citations
20.
Wang, Baohua, et al.. (1992). Investigation Evaluation and Utilization of Chinese Native Sun and Air Cured Tobacco Resources. Zhongguo yancao xuebao. 1(2). 45–54. 2 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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