Jinhua Wu

1.9k total citations
35 papers, 834 citations indexed

About

Jinhua Wu is a scholar working on Plant Science, Molecular Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Jinhua Wu has authored 35 papers receiving a total of 834 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Plant Science, 7 papers in Molecular Biology and 5 papers in Cellular and Molecular Neuroscience. Recurrent topics in Jinhua Wu's work include Research in Cotton Cultivation (11 papers), Wheat and Barley Genetics and Pathology (5 papers) and Neuroscience and Neuropharmacology Research (5 papers). Jinhua Wu is often cited by papers focused on Research in Cotton Cultivation (11 papers), Wheat and Barley Genetics and Pathology (5 papers) and Neuroscience and Neuropharmacology Research (5 papers). Jinhua Wu collaborates with scholars based in China, United States and Indonesia. Jinhua Wu's co-authors include Xingfen Wang, Zhiying Ma, Guiyin Zhang, Zhikun Li, Jun Yang, Doo‐Sup Choi, Yan Zhang, Liqiang Wu, Zhengwen Liu and Huifeng Ke and has published in prestigious journals such as SHILAP Revista de lepidopterología, Biological Psychiatry and Brain Research.

In The Last Decade

Jinhua Wu

31 papers receiving 822 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jinhua Wu China 17 508 286 142 60 55 35 834
Alexander Kraev Canada 19 229 0.5× 701 2.5× 215 1.5× 43 0.7× 14 0.3× 34 997
Liqiang He China 18 548 1.1× 427 1.5× 101 0.7× 8 0.1× 62 1.1× 29 1.3k
Qian Ge China 15 154 0.3× 465 1.6× 141 1.0× 10 0.2× 8 0.1× 34 835
Paula Ashe Canada 11 104 0.2× 319 1.1× 194 1.4× 3 0.1× 7 0.1× 16 657
Quan Jiang China 17 659 1.3× 912 3.2× 242 1.7× 22 0.4× 8 0.1× 34 1.5k
Luca Leonardi Italy 18 416 0.8× 545 1.9× 81 0.6× 6 0.1× 4 0.1× 25 1.0k
Marieke Meijer Netherlands 14 110 0.2× 305 1.1× 233 1.6× 18 0.3× 17 0.3× 28 688
Maryvonne Ardourel France 13 427 0.8× 267 0.9× 58 0.4× 10 0.2× 4 0.1× 28 854
Heekyung Ahn South Korea 15 1.0k 2.0× 427 1.5× 95 0.7× 12 0.2× 10 0.2× 27 1.4k
Lihua Wang China 19 412 0.8× 741 2.6× 184 1.3× 16 0.3× 2 0.0× 60 1.2k

Countries citing papers authored by Jinhua Wu

Since Specialization
Citations

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

Fields of papers citing papers by Jinhua Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jinhua Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Jinhua Wu. A scholar is included among the top collaborators of Jinhua 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 Jinhua Wu. Jinhua 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.
2.
Chen, Yujing, et al.. (2025). Mechanical and thermal performance of semi-flexible pavement incorporating foam concrete grout. Construction and Building Materials. 495. 143691–143691.
3.
Sun, Zhengwen, Qingming Ma, Xingyi Wang, et al.. (2025). The speed breeding technology of five generations per year in cotton. Theoretical and Applied Genetics. 138(4). 79–79. 3 indexed citations
4.
5.
Wang, Zhicheng, Jin Zhang, Dongmei Zhang, et al.. (2023). Lysine 2‐Hydroxyisobutyrylation‐ and Succinylation‐Based Pathways Act Inside Chloroplasts to Modulate Plant Photosynthesis and Immunity. Advanced Science. 10(27). e2301803–e2301803. 17 indexed citations
6.
Zhang, Zhi‐Hui, Hongchun Sun, Jinhua Wu, et al.. (2023). Melatonin Increases Drought Resistance through Regulating the Fine Root and Root Hair Morphology of Wheat Revealed with RhizoPot. Agronomy. 13(7). 1881–1881. 12 indexed citations
7.
Chen, Liting, Yuanyuan Yan, Huifeng Ke, et al.. (2022). SEP-like genes of Gossypium hirsutum promote flowering via targeting different loci in a concentration-dependent manner. Frontiers in Plant Science. 13. 990221–990221. 5 indexed citations
8.
Zhang, Yan, Bin Chen, Zhengwen Sun, et al.. (2021). A large‐scale genomic association analysis identifies a fragment in Dt11 chromosome conferring cotton Verticillium wilt resistance. Plant Biotechnology Journal. 19(10). 2126–2138. 32 indexed citations
9.
Wu, Jinhua, et al.. (2021). Genetic diversity analysis in Chinese miniature pigs using swine leukocyte antigen complex microsatellites. Animal Bioscience. 34(11). 1757–1765. 3 indexed citations
10.
Gu, Qishen, Huifeng Ke, Zhengwen Liu, et al.. (2020). A high-density genetic map and multiple environmental tests reveal novel quantitative trait loci and candidate genes for fibre quality and yield in cotton. Theoretical and Applied Genetics. 133(12). 3395–3408. 31 indexed citations
11.
Sun, Zhengwen, Xingfen Wang, Zhengwen Liu, et al.. (2019). Evaluation of the genetic diversity of fibre quality traits in upland cotton (Gossypium hirsutum L.) inferred from phenotypic variations. Journal of Cotton Research. 2(1). 3 indexed citations
12.
13.
Sun, Zhengwen, Xingfen Wang, Zhengwen Liu, et al.. (2018). A genome-wide association study uncovers novel genomic regions and candidate genes of yield-related traits in upland cotton. Theoretical and Applied Genetics. 131(11). 2413–2425. 38 indexed citations
14.
Wang, Yunpeng, Shengfen Wang, Zhikun Li, et al.. (2015). Development of Pima cotton chromosome segment substitution lines with Gossypium hirsutum background.. 81–90. 1 indexed citations
15.
Wu, Jinhua, et al.. (2013). Neopterin negatively regulates expression of ABCA1 and ABCG1 by the LXRα signaling pathway in THP-1 macrophage-derived foam cells. Molecular and Cellular Biochemistry. 379(1-2). 123–131. 12 indexed citations
16.
Abulseoud, Osama A., Joseph D. Miller, Jinhua Wu, Doo‐Sup Choi, & Daniel P. Holschneider. (2012). Ceftriaxone upregulates the glutamate transporter in medial prefrontal cortex and blocks reinstatement of methamphetamine seeking in a condition place preference paradigm. Brain Research. 1456. 14–21. 68 indexed citations
17.
Lee, Moonnoh R., David J. Hinton, Jinhua Wu, et al.. (2010). Acamprosate reduces ethanol drinking behaviors and alters the metabolite profile in mice lacking ENT1. Neuroscience Letters. 490(2). 90–95. 17 indexed citations
18.
Wu, Jinhua, Moonnoh R. Lee, Sun Choi, Tae Hyun Kim, & Doo‐Sup Choi. (2010). ENT1 Regulates Ethanol‐Sensitive EAAT2 Expression and Function in Astrocytes. Alcoholism Clinical and Experimental Research. 34(6). 1110–1117. 35 indexed citations
19.
Wu, Jinhua, Yin‐Gang Hu, Xinru Wang, et al.. (2009). Expression Pattern of Special Genes Resistant to Powdery Mildew (<I>Blumeria graminis</I> f. sp.<I>tritici</I>) in SSH-cDNA Library of Wheat. ACTA AGRONOMICA SINICA. 34(12). 2121–2125. 1 indexed citations
20.
Liu, Binmei, et al.. (2006). Effect of Dominant Semi-Dwarf Gene on Plant Height and Its Related Traits and Sensitivity to Gibberellic Acid in Rice. 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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