Shoujun Wei

1.5k total citations
10 papers, 210 citations indexed

About

Shoujun Wei is a scholar working on Plant Science, Endocrinology and Biomedical Engineering. According to data from OpenAlex, Shoujun Wei has authored 10 papers receiving a total of 210 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Plant Science, 3 papers in Endocrinology and 2 papers in Biomedical Engineering. Recurrent topics in Shoujun Wei's work include Research in Cotton Cultivation (6 papers), Plant and Fungal Interactions Research (3 papers) and Advanced Nanomaterials in Catalysis (2 papers). Shoujun Wei is often cited by papers focused on Research in Cotton Cultivation (6 papers), Plant and Fungal Interactions Research (3 papers) and Advanced Nanomaterials in Catalysis (2 papers). Shoujun Wei collaborates with scholars based in China and Pakistan. Shoujun Wei's co-authors include Meng Kuang, Dayun Zhou, Lei Ma, Dan Fang, Shuangjiao Xu, Weihua Yang, Meixia Wang, Yanqin Wang, Shuang‐kui Du and Yanqin Wang and has published in prestigious journals such as Scientific Reports, Fuel and Physiologia Plantarum.

In The Last Decade

Shoujun Wei

10 papers receiving 208 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Shoujun Wei China	7	91	80	55	41	25	10	210
Rahul Mohan Singh India	9	134 1.5×	119 1.5×	127 2.3×	25 0.6×	33 1.3×	19	340
Sebastián Cerminati Argentina	10	71 0.8×	220 2.8×	40 0.7×	17 0.4×	22 0.9×	15	292
Yayu Guo China	10	41 0.5×	140 1.8×	180 3.3×	12 0.3×	26 1.0×	19	303
David Johannes Wurm Austria	12	56 0.6×	249 3.1×	18 0.3×	22 0.5×	8 0.3×	24	348
Nobutaka Hirano Japan	13	113 1.2×	258 3.2×	65 1.2×	24 0.6×	5 0.2×	22	383
Magnus Sjöblom Sweden	10	154 1.7×	188 2.4×	23 0.4×	15 0.4×	31 1.2×	13	342
Sancharini Das India	11	89 1.0×	105 1.3×	28 0.5×	38 0.9×	14 0.6×	13	363
Pascal Pfister Germany	7	78 0.9×	194 2.4×	30 0.5×	41 1.0×	13 0.5×	12	384
Bharat Manna India	12	126 1.4×	117 1.5×	42 0.8×	16 0.4×	17 0.7×	27	300
Yuedong Zhang China	8	61 0.7×	161 2.0×	68 1.2×	31 0.8×	10 0.4×	12	239

Countries citing papers authored by Shoujun Wei

Since Specialization

Citations

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

Fields of papers citing papers by Shoujun Wei

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shoujun Wei

This figure shows the co-authorship network connecting the top 25 collaborators of Shoujun Wei. A scholar is included among the top collaborators of Shoujun Wei 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 Shoujun Wei. Shoujun Wei is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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10 of 10 papers shown

Li, Hongge, Zhen Peng, Yinhua Jia, et al.. (2023). Genetic dissection and origin of pleiotropic loci underlying multi-level fiber quality traits in upland cotton (Gossypium hirsutum L.). Journal of Integrative Agriculture. 23(10). 3250–3263. 1 indexed citations

Iqbal, Muhammad Shahid, Zareen Sarfraz, Muhammad Sajid Iqbal, et al.. (2021). Genetic Factors Underlying Single Fiber Quality in A-Genome Donor Asian Cotton (Gossypium arboreum). Frontiers in Genetics. 12. 758665–758665. 10 indexed citations

Wu, Yuzhen, Dayun Zhou, Chao Li, et al.. (2020). Development and application of perfect SSR markers in cotton. Journal of Cotton Research. 3(1). 8 indexed citations

He, Shoupu, Gaofei Sun, Daigang Yang, et al.. (2018). Genomic divergence in cotton germplasm related to maturity and heterosis. Journal of Integrative Plant Biology. 61(8). 929–942. 16 indexed citations

Xu, Shuangjiao, Yanqin Wang, Dayun Zhou, et al.. (2016). A novel chemiluminescence sensor for sensitive detection of cholesterol based on the peroxidase-like activity of copper nanoclusters. Scientific Reports. 6(1). 39157–39157. 44 indexed citations

Ma, Lei, Yanqin Wang, Shoujun Wei, et al.. (2016). Global analysis of the developmental dynamics of Gossypium hirsutum based on strand‐specific transcriptome. Physiologia Plantarum. 158(1). 106–121. 5 indexed citations

Wang, Meixia, Dayun Zhou, Yanqin Wang, et al.. (2016). Bioethanol production from cotton stalk: A comparative study of various pretreatments. Fuel. 184. 527–532. 90 indexed citations

Xu, Shuangjiao, Liangliang Liu, Yanqin Wang, et al.. (2016). Simultaneous determination of six synthetic phenolic antioxidants in edible oils using dispersive liquid–liquid microextraction followed by high‐performance liquid chromatography with diode array detection. Journal of Separation Science. 39(16). 3205–3211. 19 indexed citations

Kuang, Meng, Shoujun Wei, Yanqin Wang, et al.. (2016). Development of a core set of SNP markers for the identification of upland cotton cultivars in China. Journal of Integrative Agriculture. 15(5). 954–962. 16 indexed citations

10.

Zhu, Wenkun, Meng Kuang, Shoujun Wei, et al.. (2015). Preparation and properties of cotton stalk carbon/gold nanoparticles composite. Journal of Experimental Nanoscience. 11(7). 471–479. 1 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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