Zejun Huang

6.1k total citations · 1 hit paper
60 papers, 3.8k citations indexed

About

Zejun Huang is a scholar working on Plant Science, Molecular Biology and Genetics. According to data from OpenAlex, Zejun Huang has authored 60 papers receiving a total of 3.8k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Plant Science, 32 papers in Molecular Biology and 7 papers in Genetics. Recurrent topics in Zejun Huang's work include Plant Molecular Biology Research (27 papers), Plant Reproductive Biology (20 papers) and Plant Gene Expression Analysis (9 papers). Zejun Huang is often cited by papers focused on Plant Molecular Biology Research (27 papers), Plant Reproductive Biology (20 papers) and Plant Gene Expression Analysis (9 papers). Zejun Huang collaborates with scholars based in China, United States and Vietnam. Zejun Huang's co-authors include Esther van der Knaap, Rongfeng Huang, Dafang Huang, Hongbo Zhang, Jason Van Houten, Eudald Illa-Berenguer, Yi‐Hsuan Chu, Zhengkun Qiu, Yongchen Du and Xue Cao and has published in prestigious journals such as Cell, Nature Genetics and PLoS ONE.

In The Last Decade

Zejun Huang

55 papers receiving 3.7k citations

Hit Papers

Rewiring of the Fruit Metabolome in Tomato Breeding 2018 2026 2020 2023 2018 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zejun Huang China 26 2.9k 2.3k 454 349 146 60 3.8k
Giuseppe Leonardo Rotino Italy 38 2.6k 0.9× 1.5k 0.7× 470 1.0× 269 0.8× 235 1.6× 79 3.3k
Xiaoquan Qi China 36 2.2k 0.8× 2.1k 0.9× 728 1.6× 105 0.3× 121 0.8× 75 3.8k
Naama Menda United States 20 2.3k 0.8× 2.1k 0.9× 407 0.9× 272 0.8× 152 1.0× 26 3.2k
Byoung‐Cheorl Kang South Korea 37 3.7k 1.2× 1.6k 0.7× 449 1.0× 262 0.8× 88 0.6× 162 4.3k
Ill–Sup Nou South Korea 30 2.2k 0.8× 1.8k 0.8× 196 0.4× 283 0.8× 107 0.7× 164 3.0k
Guangtao Zhu China 17 1.7k 0.6× 1.1k 0.5× 326 0.7× 209 0.6× 329 2.3× 42 2.3k
Hengfu Yin China 24 1.3k 0.5× 1.5k 0.7× 176 0.4× 269 0.8× 158 1.1× 96 2.3k
Yuepeng Han China 40 3.5k 1.2× 3.4k 1.5× 403 0.9× 1.0k 2.9× 292 2.0× 145 5.2k
Wen‐Wu Guo China 34 2.9k 1.0× 2.6k 1.1× 199 0.4× 254 0.7× 113 0.8× 140 3.7k
Jiafu Jiang China 45 5.0k 1.7× 3.9k 1.7× 343 0.8× 315 0.9× 170 1.2× 262 6.2k

Countries citing papers authored by Zejun Huang

Since Specialization
Citations

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

Fields of papers citing papers by Zejun Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zejun Huang

This figure shows the co-authorship network connecting the top 25 collaborators of Zejun Huang. A scholar is included among the top collaborators of Zejun Huang 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 Zejun Huang. Zejun Huang 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.
Tang, Yan, et al.. (2024). Prediction of Cytochrome P450 Substrates Using the Explainable Multitask Deep Learning Models. Chemical Research in Toxicology. 37(9). 1535–1548. 2 indexed citations
2.
Huang, Zejun, et al.. (2024). AttentiveSkin: To Predict Skin Corrosion/Irritation Potentials of Chemicals via Explainable Machine Learning Methods. Chemical Research in Toxicology. 37(2). 361–373. 9 indexed citations
3.
Huang, Zejun, Haoqiang Wang, Fei Pan, et al.. (2024). In Silico Prediction of Chemical Acute Dermal Toxicity Using Explainable Machine Learning Methods. Chemical Research in Toxicology. 37(3). 513–524. 17 indexed citations
4.
Wang, Haoqiang, et al.. (2024). In Silico Prediction of Skin Sensitization for Compounds via Flexible Evidence Combination Based on Machine Learning and Dempster–Shafer Theory. Chemical Research in Toxicology. 37(6). 894–909. 6 indexed citations
5.
Huang, Zejun, et al.. (2024). In silico prediction of ocular toxicity of compounds using explainable machine learning and deep learning approaches. Journal of Applied Toxicology. 44(6). 892–907. 3 indexed citations
6.
Zhang, Li, Mengxia Yang, Kai Wei, et al.. (2024). Fine-Mapping of Tomato male sterile-24 Locus and Marker Development for ms-24 and Its Alleles, ms-10, ms-35, and ms-36. Horticulturae. 10(12). 1322–1322. 1 indexed citations
7.
8.
Huang, Zejun, et al.. (2023). Appropriate Nitrogen Form and Application Rate Can Improve Yield and Quality of Autumn Tea with Drip Irrigation. Agronomy. 13(5). 1303–1303. 7 indexed citations
9.
Liu, Xiaolin, Wencai Yang, Mengxia Yang, et al.. (2020). SlGID1a Is a Putative Candidate Gene for qtph1.1, a Major-Effect Quantitative Trait Locus Controlling Tomato Plant Height. Frontiers in Genetics. 11. 881–881. 11 indexed citations
10.
Zheng, Zheng, Tao Li, Yanan Cui, et al.. (2020). Fine Mapping of the Ph-2 Gene Conferring Resistance to Late Blight (Phytophthora infestans) in Tomato. Plant Disease. 105(4). 851–858. 15 indexed citations
11.
Yan, Shuangshuang, Na Chen, Zejun Huang, et al.. (2019). Anthocyanin Fruit encodes an R2R3‐MYB transcription factor, SlAN2‐like, activating the transcription of SlMYBATV to fine‐tune anthocyanin content in tomato fruit. New Phytologist. 225(5). 2048–2063. 144 indexed citations
12.
Liu, Xiaoyan, Mengxia Yang, Xiaolin Liu, et al.. (2019). A putative bHLH transcription factor is a candidate gene for male sterile 32, a locus affecting pollen and tapetum development in tomato. Horticulture Research. 6(1). 88–88. 40 indexed citations
13.
Su, Xiaomei, Guangtao Zhu, Zejun Huang, et al.. (2018). Fine mapping and molecular marker development of the Sm gene conferring resistance to gray leaf spot (Stemphylium spp.) in tomato. Theoretical and Applied Genetics. 132(4). 871–882. 21 indexed citations
14.
Mu, Qi, Zejun Huang, Manohar Chakrabarti, et al.. (2017). Fruit weight is controlled by Cell Size Regulator encoding a novel protein that is expressed in maturing tomato fruits. PLoS Genetics. 13(8). e1006930–e1006930. 127 indexed citations
15.
Qiu, Zhengkun, Xiaoxuan Wang, Jianchang Gao, et al.. (2016). The Tomato Hoffman’s Anthocyaninless Gene Encodes a bHLH Transcription Factor Involved in Anthocyanin Biosynthesis That Is Developmentally Regulated and Induced by Low Temperatures. PLoS ONE. 11(3). e0151067–e0151067. 122 indexed citations
16.
Zhang, Hongbo, Ang Li, Zhijin Zhang, et al.. (2016). Ethylene Response Factor TERF1, Regulated by ETHYLENE-INSENSITIVE3-like Factors, Functions in Reactive Oxygen Species (ROS) Scavenging in Tobacco (Nicotiana tabacum L.). Scientific Reports. 6(1). 29948–29948. 52 indexed citations
18.
Cao, Xu, Katie L. Liberatore, Cora A. MacAlister, et al.. (2015). A cascade of arabinosyltransferases controls shoot meristem size in tomato. Nature Genetics. 47(7). 784–792. 333 indexed citations
19.
Huang, Jian, Kewei Zhang, Yi Shen, et al.. (2008). Identification of a high frequency transposon induced by tissue culture, nDaiZ, a member of the hAT family in rice. Genomics. 93(3). 274–281. 37 indexed citations
20.
Fang, Jun, Chenglin Chai, Qian Qian, et al.. (2008). Mutations of genes in synthesis of the carotenoid precursors of ABA lead to pre‐harvest sprouting and photo‐oxidation in rice. The Plant Journal. 54(2). 177–189. 213 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026