Hong Zhai

163 total papers · 6.8k total citations
135 papers, 4.1k citations indexed

About

Hong Zhai is a scholar working on Plant Science, Molecular Biology and Materials Chemistry. According to data from OpenAlex, Hong Zhai has authored 135 papers receiving a total of 4.1k indexed citations (citations by other indexed papers that have themselves been cited), including 88 papers in Plant Science, 57 papers in Molecular Biology and 22 papers in Materials Chemistry. Recurrent topics in Hong Zhai's work include Plant Stress Responses and Tolerance (36 papers), Plant Molecular Biology Research (34 papers) and Plant nutrient uptake and metabolism (22 papers). Hong Zhai is often cited by papers focused on Plant Stress Responses and Tolerance (36 papers), Plant Molecular Biology Research (34 papers) and Plant nutrient uptake and metabolism (22 papers). Hong Zhai collaborates with scholars based in China, United States and Indonesia. Hong Zhai's co-authors include Qingchang Liu, Shaozhen He, Ning Zhao, Huan Zhang, Han‐Xiang Deng, Teepu Siddique, Shaopei Gao, Degao Liu, Eileen H. Bigio and Qian Zhang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and PLoS ONE.

In The Last Decade

Hong Zhai

126 papers receiving 4.0k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Hong Zhai 2.6k 2.0k 666 363 223 135 4.1k
Masaru Ohta 5.8k 2.2× 3.9k 1.9× 204 0.3× 35 0.1× 192 0.9× 94 7.1k
Shizhong Zhang 1.5k 0.6× 2.1k 1.1× 319 0.5× 241 0.7× 113 0.5× 151 3.7k
Chang Liu 5.2k 2.0× 4.6k 2.3× 54 0.1× 31 0.1× 456 2.0× 160 7.0k
Guiliang Tang 4.5k 1.8× 4.4k 2.2× 86 0.1× 41 0.1× 272 1.2× 110 7.2k
Jing Wen 2.6k 1.0× 4.2k 2.1× 141 0.2× 56 0.2× 339 1.5× 186 5.6k
Ming Luo 3.3k 1.3× 2.4k 1.2× 78 0.1× 20 0.1× 365 1.6× 137 4.5k
Liang Guo 3.6k 1.4× 3.3k 1.6× 17 0.0× 99 0.3× 389 1.7× 178 5.9k
Tetsuya Yamada 2.7k 1.0× 1.3k 0.6× 69 0.1× 29 0.1× 186 0.8× 173 4.4k
Wei Zhang 1.4k 0.5× 1.2k 0.6× 44 0.1× 88 0.2× 148 0.7× 105 2.5k
Takeshi Nishio 4.1k 1.6× 3.8k 1.9× 270 0.4× 58 0.2× 607 2.7× 210 5.8k

Countries citing papers authored by Hong Zhai

Since Specialization
Citations

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

Fields of papers citing papers by Hong Zhai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hong Zhai

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

All Works

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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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