Jinping Hua

3.9k total citations
74 papers, 2.7k citations indexed

About

Jinping Hua is a scholar working on Plant Science, Molecular Biology and Genetics. According to data from OpenAlex, Jinping Hua has authored 74 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 63 papers in Plant Science, 24 papers in Molecular Biology and 17 papers in Genetics. Recurrent topics in Jinping Hua's work include Research in Cotton Cultivation (48 papers), Plant Virus Research Studies (19 papers) and Genetic Mapping and Diversity in Plants and Animals (17 papers). Jinping Hua is often cited by papers focused on Research in Cotton Cultivation (48 papers), Plant Virus Research Studies (19 papers) and Genetic Mapping and Diversity in Plants and Animals (17 papers). Jinping Hua collaborates with scholars based in China, United States and Indonesia. Jinping Hua's co-authors include Yongzhong Xing, Xinli Sun, Qifa Zhang, Nan Zhao, Q. Zhang, Xiuxin Deng, Ying Tan, Yumei Wang, Lianguang Shang and Sibin Yu and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Scientific Reports.

In The Last Decade

Jinping Hua

73 papers receiving 2.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jinping Hua China 29 2.3k 1.2k 735 141 110 74 2.7k
Siva P. Kumpatla United States 21 1.6k 0.7× 411 0.3× 937 1.3× 86 0.6× 67 0.6× 36 2.0k
Adnane Boualem France 26 2.8k 1.2× 672 0.5× 1.6k 2.1× 49 0.3× 135 1.2× 49 3.1k
Weibin Song China 28 2.6k 1.1× 970 0.8× 1.3k 1.8× 39 0.3× 194 1.8× 69 3.1k
Junkang Rong China 19 2.1k 0.9× 334 0.3× 1.2k 1.7× 190 1.3× 49 0.4× 64 2.4k
Muluneh Tamiru Japan 16 2.6k 1.1× 994 0.8× 1.2k 1.6× 42 0.3× 45 0.4× 24 3.0k
Chuanxiao Xie China 30 2.6k 1.1× 1.2k 1.0× 1.0k 1.4× 29 0.2× 319 2.9× 76 3.0k
Jinjie Li China 30 2.7k 1.1× 1.1k 0.9× 1.0k 1.4× 28 0.2× 129 1.2× 73 3.0k
Jingjuan Yu China 26 1.5k 0.6× 213 0.2× 1.0k 1.4× 78 0.6× 78 0.7× 73 1.8k
Pawan L. Kulwal India 20 2.1k 0.9× 974 0.8× 249 0.3× 41 0.3× 297 2.7× 42 2.3k
Prasanna R. Bhat United States 15 1.4k 0.6× 678 0.6× 340 0.5× 30 0.2× 85 0.8× 20 1.6k

Countries citing papers authored by Jinping Hua

Since Specialization
Citations

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

Fields of papers citing papers by Jinping Hua

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jinping Hua

This figure shows the co-authorship network connecting the top 25 collaborators of Jinping Hua. A scholar is included among the top collaborators of Jinping Hua 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 Jinping Hua. Jinping Hua 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.
Hua, Jinping, et al.. (2025). Mining user privacy concern topics from app reviews. Journal of Systems and Software. 222. 112355–112355. 2 indexed citations
2.
Li, Hui‐Jing, Yi Huang, Bin Li, et al.. (2024). Yield‐related quantitative trait loci identification and lint percentage hereditary dissection under salt stress in upland cotton. The Plant Journal. 119(1). 115–136. 4 indexed citations
3.
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
4.
Su, Ying, Yi Huang, Yumei Wang, et al.. (2021). QTL controlling fiber quality traits under salt stress in upland cotton (Gossypium hirsutum L.). Theoretical and Applied Genetics. 134(2). 661–685. 19 indexed citations
5.
Ma, Lingling, Ying Su, Hushuai Nie, et al.. (2020). QTL and genetic analysis controlling fiber quality traits using paternal backcross population in upland cotton. Journal of Cotton Research. 3(1). 8 indexed citations
6.
Nie, Hushuai, Cheng Cheng, & Jinping Hua. (2020). Mitochondrial proteomic analysis reveals that proteins relate to oxidoreductase activity play a central role in pollen fertility in cotton. Journal of Proteomics. 225. 103861–103861. 10 indexed citations
7.
Xia, Fei, Xueying Li, Xinzheng Li, et al.. (2016). Elevation of the Yields of Very Long Chain Polyunsaturated Fatty Acids via Minimal Codon Optimization of Two Key Biosynthetic Enzymes. PLoS ONE. 11(7). e0158103–e0158103. 5 indexed citations
8.
Shang, Lianguang, Qingzhi Liang, Yumei Wang, et al.. (2016). Epistasis together with partial dominance, over-dominance and QTL by environment interactions contribute to yield heterosis in upland cotton. Theoretical and Applied Genetics. 129(7). 1429–1446. 34 indexed citations
9.
Sha, Hong, et al.. (2013). Genetic Diversity Analysis on Local Upland Cotton Cultivars in Xinjiang Based on SSR Markers. ACTA AGRONOMICA SINICA. 40(2). 369–379. 2 indexed citations
10.
Li, Yajun, Jiachang Zhang, Juan Zhang, et al.. (2013). Expression of an Arabidopsis molybdenum cofactor sulphurase gene in soybean enhances drought tolerance and increases yield under field conditions. Plant Biotechnology Journal. 11(6). 747–758. 79 indexed citations
11.
Wang, Yumei, et al.. (2012). Aquaporins and salt tolerance of higher plants.. Zhongguo nongye ke-ji daobao. 14(4). 31–38. 2 indexed citations
12.
Hua, Jinping. (2012). Analysis on the heterosis and combining ability of upland cotton with Bt resistance. Zhongguo Nongye Daxue xuebao. 1 indexed citations
13.
Hua, Jinping. (2011). Isolation and sequence analysis of salt responsive gene GhCPK5 from Gossypium hirsutum L.. Zhongguo Nongye Daxue xuebao. 1 indexed citations
14.
Zhao, Liqun, et al.. (2011). Cloning of Delta-12 Oleate Desaturase Gene FAD2-1 and Construction of Its ihpRNA and amiRNA Interference Vectors from Gossypium hirsutum. 23(2). 189. 1 indexed citations
15.
Hua, Jinping. (2011). Study on Cotton Resistance to Verticillium Wilt by Grafting. Zhongguo nongye Kexue. 2 indexed citations
16.
Hua, Jinping. (2011). Research Progress on Structural Genomics of Plant Mitochondrial Genome. Journal of Agricultural Science and Technology. 3 indexed citations
17.
Liu, Fang, et al.. (2011). Analysis on codon usage of chloroplast genome of Gossypium hirsutum.. Zhongguo nongye Kexue. 44(2). 245–253. 17 indexed citations
18.
Hua, Jinping. (2011). Progress on sequencing and alignment analysis of higher plant mitochondrial genomes. Zhongguo Nongye Daxue xuebao. 7 indexed citations
19.
Hua, Jinping, et al.. (2001). Mapping and Isolation of Quantitative Trait Loci Controlling Plant Height and Heading Date in Rice. Journal of Integrative Plant Biology. 43(7). 721–726. 24 indexed citations
20.
Hua, Jinping, et al.. (2001). Mapping Quantitative Trait Loci for Grain Appearance Traits of Rice Using a Recombinant Inbred Line Population. Journal of Integrative Plant Biology. 43(8). 840–845. 30 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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