Kunbo Wang

7.2k total citations
114 papers, 2.4k citations indexed

About

Kunbo Wang is a scholar working on Plant Science, Molecular Biology and Endocrinology. According to data from OpenAlex, Kunbo Wang has authored 114 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 112 papers in Plant Science, 23 papers in Molecular Biology and 22 papers in Endocrinology. Recurrent topics in Kunbo Wang's work include Research in Cotton Cultivation (99 papers), Plant Virus Research Studies (54 papers) and Plant Molecular Biology Research (24 papers). Kunbo Wang is often cited by papers focused on Research in Cotton Cultivation (99 papers), Plant Virus Research Studies (54 papers) and Plant Molecular Biology Research (24 papers). Kunbo Wang collaborates with scholars based in China, Kenya and United States. Kunbo Wang's co-authors include Fang Liu, Xiaoyan Cai, Zhongli Zhou, Xingxing Wang, Richard Odongo Magwanga, Joy Nyangasi Kirungu, Pu Lu, Yuqing Hou, Yanchao Xu and Yuhong Wang and has published in prestigious journals such as PLoS ONE, Scientific Reports and The Plant Journal.

In The Last Decade

Kunbo Wang

112 papers receiving 2.4k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Kunbo Wang China	31	2.1k	973	183	168	77	114	2.4k
Satendra K. Mangrauthia India	25	1.6k 0.8×	799 0.8×	136 0.7×	148 0.9×	66 0.9×	93	1.9k
Dayong Li China	26	2.1k 1.0×	1.3k 1.3×	134 0.7×	179 1.1×	59 0.8×	60	2.4k
Chris Dardick United States	26	1.7k 0.8×	1.3k 1.3×	75 0.4×	113 0.7×	75 1.0×	62	2.1k
Naeem H. Syed United Kingdom	23	1.8k 0.8×	1.4k 1.4×	120 0.7×	311 1.9×	54 0.7×	37	2.5k
Peijian Cao China	24	1.5k 0.7×	998 1.0×	83 0.5×	206 1.2×	65 0.8×	72	2.0k
Alain Ghesquière France	32	2.4k 1.1×	728 0.7×	98 0.5×	700 4.2×	61 0.8×	64	2.6k
Yuepeng Song China	21	1.0k 0.5×	697 0.7×	96 0.5×	134 0.8×	61 0.8×	55	1.3k
Sergei A. Filichkin United States	21	1.7k 0.8×	1.8k 1.8×	61 0.3×	133 0.8×	41 0.5×	33	2.4k
Ramiro E. Rodríguez Argentina	21	2.4k 1.1×	1.7k 1.8×	54 0.3×	93 0.6×	44 0.6×	30	2.7k
Pablo D. Rabinowicz United States	23	2.1k 1.0×	1.4k 1.5×	57 0.3×	374 2.2×	126 1.6×	39	2.6k

Countries citing papers authored by Kunbo Wang

Since Specialization

Citations

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

Fields of papers citing papers by Kunbo Wang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kunbo Wang

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

All Works

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20 of 20 papers shown

Cai, Xiaoyan, Muhammad Jawad Umer, Yanchao Xu, et al.. (2024). Genetic Analysis of Cotton Fiber Traits in Gossypium Hybrid Lines. Physiologia Plantarum. 176(4). e14442–e14442. 1 indexed citations

Cai, Xiaoyan, Yuqing Hou, Heng Wang, et al.. (2023). The morphological diversity of pollen in the genus Gossypium. Journal of Cotton Research. 6(1). 2 indexed citations

Ditta, Allah, Xiaoyan Cai, Shafeeq Ur Rahman, et al.. (2023). Identification of salt stress-tolerant candidate genes in the BC2F2 population at the seedling stages of G. hirsutum and G. darwinii using NGS-based bulked segregant analysis. Frontiers in Plant Science. 14. 1125805–1125805. 1 indexed citations

Wang, Maojun, Jianying Li, Pengcheng Wang, et al.. (2021). Comparative Genome Analyses Highlight Transposon-Mediated Genome Expansion and the Evolutionary Architecture of 3D Genomic Folding in Cotton. Molecular Biology and Evolution. 38(9). 3621–3636. 56 indexed citations

Kirungu, Joy Nyangasi, Richard Odongo Magwanga, Pu Lu, et al.. (2020). Genetic map construction and functional characterization of genes within the segregation distortion regions (SDRs) in the F2:3 populations derived from wild cotton species of the D genome. Journal of Cotton Research. 3(1). 1 indexed citations

Xu, Yanchao, et al.. (2019). Genome-Wide Identification and Analysis of GR Gene Family in Cotton. 31(6). 482–492. 1 indexed citations

Xu, Yanchao, et al.. (2018). Integrated Evaluation and the Physiological and Biochemical Responses of Semi-Wild Cotton under Complex Salt-Alkali Stress. Mianhua xuebao. 30(3). 231–241. 2 indexed citations

Chen, Yi, Yuhong Wang, Chunying Wang, et al.. (2017). Genomic in situ Hybridization Analysis of the Genetic Relationship between Wild-Type Diploid and Cultivated Allotetraploid Gossypium Species. Mianhua xuebao. 29(1). 99–107. 1 indexed citations

Liu, Yuling, Zhen Liu, Zhaoguo Li, et al.. (2017). Construction and Primary Application of Oligos Fluorescence in situ Hybridization Technology in Cotton. Mianhua xuebao. 29(3). 213–221.

10.

Wang, Yuanyuan, et al.. (2017). Genome-Wide Identification and Expression Analysis of the Gene Family Encoding Brassinazole Resistant Transcription Factors in Cotton. Mianhua xuebao. 29(5). 415–427. 3 indexed citations

11.

Han, Jinlei, Rick E. Masonbrink, Fengqin Song, et al.. (2016). Rapid proliferation and nucleolar organizer targeting centromeric retrotransposons in cotton. The Plant Journal. 88(6). 992–1005. 33 indexed citations

12.

Wang, Kunbo. (2013). Preliminary bioinformatics analysis of aquaporin sequences available in cotton. Acta Agriculturae Zhejiangensis. 1 indexed citations

13.

Wang, Kunbo. (2012). QTL Mapping for Fiber Quality Properties in Lumianyan 15. Mianhua xuebao. 3 indexed citations

14.

Gao, Wei, Fang Liu, Shaohui Li, et al.. (2010). Genetic diversity of allotetraploid cotton based on SSR markers.. ACTA AGRONOMICA SINICA. 36(11). 1902–1909. 2 indexed citations

15.

Wang, Kunbo. (2009). PMC-FISHs in Hybrids of Tetraploid Cultivated and Diploid Wild Gossypium Species. Mianhua xuebao. 1 indexed citations

16.

Wang, Kunbo. (2008). 45S rDNA FISH and Karyotype Analysis of Gossypium mustelinum. Zhiwu yichuan ziyuan xuebao. 1 indexed citations

17.

Wang, Kunbo. (2007). Introduction and Conservation of Wild Cotton in China. Mianhua xuebao. 4 indexed citations

18.

Wang, Kunbo, et al.. (2004). Studies on 45S rDNA-FISH and Karyotype of Gossypium herbaceum and Gossypium arboreum. 5 indexed citations

19.

Wang, Kunbo, Sanhong Liu, Guoli Song, et al.. (2004). Chromosome painting via FISH to Gossypium hirsutum with gDNA of its putative diploid ancestors as probes(Abstracts of the International Conference on "Evolutionary Botany of Certain Plant-Groups of the East Eurasian Floristic Element Related to Japanese Flora on the Basis of Chromosomes"). Chromosome science. 8(4). 150–154. 1 indexed citations

20.

Huang, Jianan, et al.. (2003). Efficient methods for genomic DNA extraction from tea plant. JOURNAL OF HUNAN AGRICULTURAL UNIVERSITY. 29(5). 402–407. 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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