Zhigang Han

1.4k total citations · 1 hit paper
30 papers, 972 citations indexed

About

Zhigang Han is a scholar working on Plant Science, Biochemistry and Molecular Biology. According to data from OpenAlex, Zhigang Han has authored 30 papers receiving a total of 972 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Plant Science, 7 papers in Biochemistry and 6 papers in Molecular Biology. Recurrent topics in Zhigang Han's work include Phytochemicals and Antioxidant Activities (7 papers), Plant Stress Responses and Tolerance (5 papers) and Plant nutrient uptake and metabolism (5 papers). Zhigang Han is often cited by papers focused on Phytochemicals and Antioxidant Activities (7 papers), Plant Stress Responses and Tolerance (5 papers) and Plant nutrient uptake and metabolism (5 papers). Zhigang Han collaborates with scholars based in China, Australia and Israel. Zhigang Han's co-authors include Jinping Si, Guoping Zhang, Donghong Chen, Xiaoyan Quan, Fanrong Zeng, Jianbin Zeng, Cong Li, Cong Li, Shengguan Cai and Xiang Cai and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Agricultural and Food Chemistry and Food Chemistry.

In The Last Decade

Zhigang Han

29 papers receiving 958 citations

Hit Papers

Jasmonate Signaling Pathway Modulates Plant Defense, Grow... 2022 2026 2023 2024 2022 25 50 75 100

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zhigang Han China 19 711 261 105 77 76 30 972
M. Gomathinayagam India 19 1.1k 1.5× 249 1.0× 152 1.4× 47 0.6× 37 0.5× 35 1.3k
Dexiang Sun China 8 689 1.0× 222 0.9× 118 1.1× 157 2.0× 126 1.7× 9 938
Virendra Singh India 14 400 0.6× 172 0.7× 114 1.1× 48 0.6× 155 2.0× 62 721
Min Sun China 17 475 0.7× 240 0.9× 128 1.2× 41 0.5× 64 0.8× 57 760
Fengyun Zhao China 20 979 1.4× 424 1.6× 115 1.1× 63 0.8× 32 0.4× 63 1.3k
Murtaza Khan South Korea 19 975 1.4× 281 1.1× 61 0.6× 47 0.6× 27 0.4× 47 1.2k
Fuencisla Merino Spain 25 1.5k 2.0× 538 2.1× 108 1.0× 148 1.9× 79 1.0× 32 1.8k
Eugênia Jacira Bolacel Braga Brazil 21 1.0k 1.5× 494 1.9× 131 1.2× 34 0.4× 93 1.2× 94 1.3k
Muhammad Junaid Rao China 23 1.1k 1.6× 601 2.3× 78 0.7× 167 2.2× 25 0.3× 84 1.5k
Anzhi Wei China 18 434 0.6× 337 1.3× 82 0.8× 53 0.7× 39 0.5× 33 670

Countries citing papers authored by Zhigang Han

Since Specialization
Citations

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

Fields of papers citing papers by Zhigang Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhigang Han

This figure shows the co-authorship network connecting the top 25 collaborators of Zhigang Han. A scholar is included among the top collaborators of Zhigang Han 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 Zhigang Han. Zhigang Han 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.
Liu, Jingjing, et al.. (2025). Huangjing fructan: a kind of novel active carbohydrate with energy-supply function. Trends in Food Science & Technology. 162. 105097–105097. 4 indexed citations
3.
Liu, Jingjing, John B. Golding, Penta Pristijono, et al.. (2023). Huangjing—From medicine to healthy food and diet. SHILAP Revista de lepidopterología. 4(3). 1068–1090. 18 indexed citations
4.
5.
Li, Cong, Xiang Cai, Xueliang Chen, et al.. (2022). Genome-wide analysis of basic helix–loop–helix genes in Dendrobium catenatum and functional characterization of DcMYC2 in jasmonate-mediated immunity to Sclerotium delphinii. Frontiers in Plant Science. 13. 956210–956210. 9 indexed citations
6.
Wang, Yuanyuan, Guang Chen, Fanrong Zeng, et al.. (2022). Molecular evidence for adaptive evolution of drought tolerance in wild cereals. New Phytologist. 237(2). 497–514. 35 indexed citations
7.
Shi, Yan, Cong Li, Jingjing Liu, et al.. (2022). Glucomannan in Dendrobium catenatum: Bioactivities, Biosynthesis and Perspective. Genes. 13(11). 1957–1957. 19 indexed citations
8.
Ma, Yu, et al.. (2022). Combined GWAS and Transcriptome Analyses Provide New Insights Into the Response Mechanisms of Sunflower Against Drought Stress. Frontiers in Plant Science. 13. 847435–847435. 24 indexed citations
9.
Chen, Donghong, et al.. (2022). Bioactive compounds from Polygonatum genus as anti-diabetic agents with future perspectives. Food Chemistry. 408. 135183–135183. 57 indexed citations
10.
Chen, Donghong, Zhigang Han, & Jinping Si. (2021). Huangjing (Polygonati rhizoma) is an emerging crop with great potential to fight chronic and hidden hunger. Science China Life Sciences. 64(9). 1564–1566. 34 indexed citations
11.
Han, Zhigang, Muhammad Faheem Adil, Muhammad Mudassir Nazir, et al.. (2020). Identification of the gene network modules highly associated with the synthesis of phenolics compounds in barley by transcriptome and metabolome analysis. Food Chemistry. 323. 126862–126862. 35 indexed citations
12.
Han, Zhigang, et al.. (2019). Identification of QTLs associated with p-coumaric acid and ferulic acid in barley. Euphytica. 215(12). 6 indexed citations
13.
Han, Zhigang, et al.. (2018). Association mapping for total polyphenol content, total flavonoid content and antioxidant activity in barley. BMC Genomics. 19(1). 81–81. 43 indexed citations
14.
Han, Zhigang, Shengguan Cai, Xuelei Zhang, et al.. (2017). Development of predictive models for total phenolics and free p-coumaric acid contents in barley grain by near-infrared spectroscopy. Food Chemistry. 227. 342–348. 32 indexed citations
15.
Quan, Xiaoyan, Jianbin Zeng, Lingzhen Ye, et al.. (2016). Transcriptome profiling analysis for two Tibetan wild barley genotypes in responses to low nitrogen. BMC Plant Biology. 16(1). 30–30. 80 indexed citations
16.
Quan, Xiaoyan, et al.. (2016). Metabolic analysis of two contrasting wild barley genotypes grown hydroponically reveals adaptive strategies in response to low nitrogen stress. Journal of Plant Physiology. 206. 59–67. 40 indexed citations
17.
Quan, Xiaoyan, Jianbin Zeng, Zhigang Han, & Guoping Zhang. (2016). Ionomic and physiological responses to low nitrogen stress in Tibetan wild and cultivated barley. Plant Physiology and Biochemistry. 111. 257–265. 29 indexed citations
18.
Cai, Shengguan, Zhigang Han, Yuqing Huang, et al.. (2016). Identification of Quantitative Trait Loci for the Phenolic Acid Contents and Their Association with Agronomic Traits in Tibetan Wild Barley. Journal of Agricultural and Food Chemistry. 64(4). 980–987. 11 indexed citations
19.
Cai, Shengguan, Zhigang Han, Yuqing Huang, et al.. (2015). Genetic Diversity of Individual Phenolic Acids in Barley and Their Correlation with Barley Malt Quality. Journal of Agricultural and Food Chemistry. 63(31). 7051–7057. 28 indexed citations
20.
Zhang, Ting, Bo Wang, Zhigang Han, & Jun Li. (2004). Analysis on observability of SINS/GPS. 2. 1584–1587. 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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