Baomin Wang

3.3k total citations
100 papers, 2.6k citations indexed

About

Baomin Wang is a scholar working on Molecular Biology, Plant Science and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Baomin Wang has authored 100 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Molecular Biology, 40 papers in Plant Science and 15 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Baomin Wang's work include Research in Cotton Cultivation (11 papers), Pharmaceutical Quality and Counterfeiting (11 papers) and Pesticide Residue Analysis and Safety (10 papers). Baomin Wang is often cited by papers focused on Research in Cotton Cultivation (11 papers), Pharmaceutical Quality and Counterfeiting (11 papers) and Pesticide Residue Analysis and Safety (10 papers). Baomin Wang collaborates with scholars based in China, United States and Myanmar. Baomin Wang's co-authors include Zhaohu Li, Liusheng Duan, Tiegui Nan, Qing X. Li, Xiaoli Tian, Guiyu Tan, Youming Yang, Liwang Cui, A. Egrinya Eneji and Yongliang Cui and has published in prestigious journals such as PLoS ONE, Analytical Chemistry and Journal of Virology.

In The Last Decade

Baomin Wang

96 papers receiving 2.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Baomin Wang China 26 1.1k 1.1k 345 252 185 100 2.6k
Petr Halada Czechia 34 677 0.6× 2.4k 2.3× 482 1.4× 344 1.4× 138 0.7× 177 4.2k
Kiattawee Choowongkomon Thailand 29 310 0.3× 1.5k 1.4× 212 0.6× 201 0.8× 248 1.3× 232 2.8k
Thusitha Rupasinghe Australia 27 724 0.6× 1.0k 1.0× 131 0.4× 162 0.6× 124 0.7× 52 2.3k
Hans‐Martin Dahse Germany 36 641 0.6× 1.4k 1.4× 165 0.5× 72 0.3× 103 0.6× 148 4.3k
Petr Man Czechia 31 321 0.3× 1.8k 1.7× 163 0.5× 165 0.7× 59 0.3× 136 2.9k
José R. Tormo Spain 36 684 0.6× 1.9k 1.8× 188 0.5× 329 1.3× 141 0.8× 142 5.1k
Ahmed Hussein Egypt 26 192 0.2× 1.2k 1.1× 96 0.3× 135 0.5× 52 0.3× 82 2.3k
Gabriella Pòcsfalvi Italy 34 282 0.2× 2.0k 1.9× 146 0.4× 206 0.8× 35 0.2× 101 3.0k
Enrique Herrero Spain 40 962 0.8× 4.3k 4.1× 119 0.3× 306 1.2× 101 0.5× 119 5.9k
Marcos Antônio de Oliveira Brazil 32 290 0.3× 1.9k 1.8× 239 0.7× 164 0.7× 83 0.4× 99 3.6k

Countries citing papers authored by Baomin Wang

Since Specialization
Citations

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

Fields of papers citing papers by Baomin Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Baomin Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Baomin Wang. A scholar is included among the top collaborators of Baomin 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 Baomin Wang. Baomin 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.
Lü, Fang, et al.. (2024). Comparison of single-chain variable fragments and monoclonal antibody against dihydroartemisinin. Journal of Immunological Methods. 532. 113728–113728. 1 indexed citations
2.
Chen, Yujie, Haiyan Xing, Rui Feng, et al.. (2024). Nanobody Mediated Atrazine Resistance in Plants. Journal of Agricultural and Food Chemistry. 72(29). 16368–16377. 2 indexed citations
3.
Zhang, Jiaqi, Man Zhang, Mian Wang, et al.. (2024). High-Performance Liquid Chromatographic Quantification of the Plant Hormone Abscisic Acid at ppb Levels in Plant Samples after a Single Immunoaffinity Column Cleanup. Journal of Agricultural and Food Chemistry. 72(20). 11794–11803. 5 indexed citations
4.
5.
Wang, Weixuan, Xiaoxiang Fu, Yihao Li, et al.. (2023). Detection of ustilaginoidins in rice samples by immunoassay based on monoclonal antibodies prepared from hemiustilaginoidin-derived haptens. Heliyon. 9(12). e23036–e23036. 2 indexed citations
6.
7.
Wang, Weixuan, et al.. (2022). A Nanobody-Based Immunoassay for Detection of Ustilaginoidins in Rice Samples. Toxins. 14(10). 659–659. 11 indexed citations
8.
Zhang, Rui, Ning Wang, Shuying Li, et al.. (2021). Gibberellin biosynthesis inhibitor mepiquat chloride enhances root K+ uptake in cotton by modulating plasma membrane H+-ATPase. Journal of Experimental Botany. 72(18). 6659–6671. 17 indexed citations
9.
Yang, Zhikun, Qibo Li, Jiaming Yin, et al.. (2021). Design, synthesis and mode of action of novel 3‐ chloro‐6‐pyrazolyl picolinate derivatives as herbicide candidates. Pest Management Science. 77(5). 2252–2263. 21 indexed citations
10.
Zhao, Yajie, Mian Wang, Man Zhang, et al.. (2021). Development of a direct competitive enzyme‐linked immunosorbent assay for quantitation of sodium saccharin residue in food. Journal of Food Science. 86(8). 3720–3729. 1 indexed citations
11.
Nan, Tiegui, et al.. (2020). Development of an Enzyme-Linked Immunosorbent Assay Method for the Detection of Rhein in Rheum officinale. International Journal of Analytical Chemistry. 2020. 1–7. 3 indexed citations
12.
13.
Zhao, Yajie, Guiyu Tan, Mian Wang, et al.. (2019). Application of Immunoassays for Rapid Monitor of Carbofuran Residue in Vegetables. Journal of Food Science. 84(11). 3296–3302. 9 indexed citations
14.
Cruickshanks, Nichola, Ying Zhang, Myron Gibert, et al.. (2018). Discovery and Therapeutic Exploitation of Mechanisms of Resistance to MET Inhibitors in Glioblastoma. Clinical Cancer Research. 25(2). 663–673. 35 indexed citations
15.
Chen, Xiaojiao, Man Zhang, Mian Wang, et al.. (2018). The effects of mepiquat chloride on the lateral root initiation of cotton seedlings are associated with auxin and auxin-conjugate homeostasis. BMC Plant Biology. 18(1). 361–361. 10 indexed citations
16.
Fu, Xiaoxiang, Weixuan Wang, Yuying Li, et al.. (2018). Development of a monoclonal antibody with equal reactivity to ustiloxins A and B for quantification of main cyclopeptide mycotoxins in rice samples. Food Control. 92. 201–207. 15 indexed citations
17.
Li, Weizhi, Mian Wang, Suqin Guo, et al.. (2018). Development of monoclonal antibody-based immunoassays for quantification and rapid assessment of dihydroartemisinin contents in antimalarial drugs. Journal of Pharmaceutical and Biomedical Analysis. 159. 66–72. 8 indexed citations
18.
Fu, Xiaoxiang, Jian Wang, Xiaojiao Chen, et al.. (2017). Development of Colloidal Gold‐Based Lateral Flow Immunoassay for Rapid Qualitative and SemiQuantitative Analysis of Ustiloxins A and B in Rice Samples. Toxins. 9(3). 79–79. 30 indexed citations
19.
Wu, Xiaoli, et al.. (2006). Physiological mechanism of {\sl Brassica oleracea} var. {\sl botrytis} seedlings to resist black rot. Xibei zhiwu xuebao. 26(3). 484–489. 1 indexed citations
20.
Tian, Xiaoli, et al.. (2000). Boll development and yield components of Bt cotton CCRI30 influenced by flowering date.. 12(6). 306–309. 8 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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