Man Wu

1.6k total citations
57 papers, 1.1k citations indexed

About

Man Wu is a scholar working on Plant Science, Molecular Biology and Biochemistry. According to data from OpenAlex, Man Wu has authored 57 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Plant Science, 16 papers in Molecular Biology and 5 papers in Biochemistry. Recurrent topics in Man Wu's work include Research in Cotton Cultivation (43 papers), Plant Virus Research Studies (18 papers) and Plant Molecular Biology Research (16 papers). Man Wu is often cited by papers focused on Research in Cotton Cultivation (43 papers), Plant Virus Research Studies (18 papers) and Plant Molecular Biology Research (16 papers). Man Wu collaborates with scholars based in China, United States and Australia. Man Wu's co-authors include Jiwen Yu, Jinfa Zhang, Wenfeng Pei, Shuxun Yu, Xingli Li, Guoyuan Liu, Honghong Zhai, Jianjiang Ma, Meizhen Song and Shuli Fan and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Man Wu

55 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Man Wu China 21 902 388 99 94 57 57 1.1k
Anahit Mett Israel 11 558 0.6× 540 1.4× 86 0.9× 24 0.3× 29 0.5× 11 918
Hyeong‐Un Lee South Korea 14 440 0.5× 220 0.6× 27 0.3× 19 0.2× 107 1.9× 52 638
Joo Hee Chung South Korea 12 569 0.6× 323 0.8× 11 0.1× 29 0.3× 48 0.8× 23 798
Yutaka Kitamoto Japan 17 491 0.5× 378 1.0× 17 0.2× 46 0.5× 86 1.5× 75 903
Abdolkarim Zarei Iran 18 501 0.6× 213 0.5× 64 0.6× 13 0.1× 65 1.1× 41 661
Xiaochun Zhao China 17 760 0.8× 397 1.0× 9 0.1× 19 0.2× 74 1.3× 36 1.0k
Chaozhi Ma China 23 802 0.9× 754 1.9× 6 0.1× 118 1.3× 24 0.4× 68 1.2k
Huiying Miao China 18 817 0.9× 616 1.6× 11 0.1× 10 0.1× 75 1.3× 35 1.1k
Yang Xiao China 17 586 0.6× 322 0.8× 29 0.3× 18 0.2× 93 1.6× 57 866

Countries citing papers authored by Man Wu

Since Specialization
Citations

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

Fields of papers citing papers by Man Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Man Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Man Wu. A scholar is included among the top collaborators of Man Wu 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 Man Wu. Man Wu 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.
Jia, Bing, Feng Pan, Hongyuan Xi, et al.. (2024). Transcriptome analysis reveals potential of down-regulated genes in cotton fiber improvement. Industrial Crops and Products. 217. 118737–118737.
2.
Xi, Hongyuan, Bing Jia, Feng Pan, et al.. (2024). Genome-wide analysis of HACD family genes and functional characterization of GhHACD2 for very long chain fatty acids biosynthesis in Gossypium hirsutum. Frontiers in Sustainable Food Systems. 8. 1 indexed citations
3.
Pan, Feng, Bing Jia, Jianjiang Ma, et al.. (2024). QTL mapping of major fatty acids and identification of candidate genes in cottonseed in an introgression line population from Gossypium hirsutum × Gossypium barbadense. Industrial Crops and Products. 222. 119391–119391. 1 indexed citations
4.
5.
Chen, Liang, et al.. (2023). Gene identification and transcriptome analysis of cadmium stress in tomato. Frontiers in Sustainable Food Systems. 7. 6 indexed citations
6.
Wu, Man, Wenfeng Pei, Tom Wedegaertner, Jinfa Zhang, & Jiwen Yu. (2022). Genetics, Breeding and Genetic Engineering to Improve Cottonseed Oil and Protein: A Review. Frontiers in Plant Science. 13. 864850–864850. 31 indexed citations
7.
Wu, Man, et al.. (2022). Optimal control strategy analysis for an human-animal brucellosis infection model with multiple delays. Heliyon. 8(12). e12274–e12274. 6 indexed citations
8.
Wang, Nuohan, Qiang Ma, Man Wu, et al.. (2021). Genetic variation in MYB5_A12 is associated with fibre initiation and elongation in tetraploid cotton. Plant Biotechnology Journal. 19(10). 1892–1894. 21 indexed citations
9.
Pei, Wenfeng, Jianjiang Ma, Bing Jia, et al.. (2021). Genome-wide association study of micronaire using a natural population of representative upland cotton (Gossypium hirsutum L.). Journal of Cotton Research. 4(1). 10 indexed citations
10.
Yu, Yang, Yifan Chang, Yi Wu, et al.. (2021). A homogeneous polysaccharide from Lycium barbarum: Structural characterizations, anti-obesity effects and impacts on gut microbiota. International Journal of Biological Macromolecules. 183. 2074–2087. 128 indexed citations
11.
Huang, Li, Lisen Liu, Bing Jia, et al.. (2021). Genome-Wide Analysis of DA1-Like Genes in Gossypium and Functional Characterization of GhDA1-1A Controlling Seed Size. Frontiers in Plant Science. 12. 647091–647091. 8 indexed citations
12.
Wu, Man, Guoyuan Liu, Xihua Li, et al.. (2019). Differentially expressed genes between two groups of backcross inbred lines differing in fiber length developed from Upland × Pima cotton. Molecular Biology Reports. 46(1). 1199–1212. 5 indexed citations
13.
Ma, Jianjiang, Wenfeng Pei, Qifeng Ma, et al.. (2019). QTL analysis and candidate gene identification for plant height in cotton based on an interspecific backcross inbred line population of Gossypium hirsutum × Gossypium barbadense. Theoretical and Applied Genetics. 132(9). 2663–2676. 39 indexed citations
14.
Zang, Xinshan, Xiaoli Geng, Lei Ma, et al.. (2019). A genome-wide analysis of the phospholipid: diacylglycerol acyltransferase gene family in Gossypium. BMC Genomics. 20(1). 402–402. 9 indexed citations
15.
Ma, Qifeng, Man Wu, Wenfeng Pei, et al.. (2016). Integrative transcriptome, proteome, phosphoproteome and genetic mapping reveals new aspects in a fiberless mutant of cotton. Scientific Reports. 6(1). 24485–24485. 21 indexed citations
16.
Ma, Qifeng, Man Wu, Wenfeng Pei, et al.. (2016). RNA-Seq-Mediated Transcriptome Analysis of a Fiberless Mutant Cotton and Its Possible Origin Based on SNP Markers. PLoS ONE. 11(3). e0151994–e0151994. 18 indexed citations
17.
18.
Ma, Qifeng, Man Wu, Wenfeng Pei, et al.. (2014). Quantitative phosphoproteomic profiling of fiber differentiation and initiation in a fiberless mutant of cotton. BMC Genomics. 15(1). 466–466. 32 indexed citations
19.
Wei, Mingming, Hengling Wei, Man Wu, et al.. (2013). Comparative expression profiling of miRNA during anther development in genetic male sterile and wild type cotton. BMC Plant Biology. 13(1). 66–66. 65 indexed citations
20.
Wu, Man, et al.. (2010). Cloning and expression analysis of GhCO gene in Gossypium hirsutum.. Mianhua xuebao. 22(5). 387–392. 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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