Jun Tang

3.4k total citations
94 papers, 2.4k citations indexed

About

Jun Tang is a scholar working on Plant Science, Molecular Biology and Agronomy and Crop Science. According to data from OpenAlex, Jun Tang has authored 94 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 68 papers in Plant Science, 53 papers in Molecular Biology and 5 papers in Agronomy and Crop Science. Recurrent topics in Jun Tang's work include Plant Stress Responses and Tolerance (28 papers), Plant Gene Expression Analysis (14 papers) and Plant Molecular Biology Research (14 papers). Jun Tang is often cited by papers focused on Plant Stress Responses and Tolerance (28 papers), Plant Gene Expression Analysis (14 papers) and Plant Molecular Biology Research (14 papers). Jun Tang collaborates with scholars based in China, United States and Australia. Jun Tang's co-authors include Feng Wang, Daifu Ma, Xilin Hou, Hua Zhang, Zhen Wang, Ai‐Sheng Xiong, Lan‐Ying Hu, Zhinan Huang, Kang‐Di Hu and Mengyao Li and has published in prestigious journals such as Journal of Biological Chemistry, Molecular Cell and PLoS ONE.

In The Last Decade

Jun Tang

91 papers receiving 2.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jun Tang China 27 1.8k 1.3k 146 115 95 94 2.4k
Juan de Dios Alché Ramírez Spain 31 1.5k 0.9× 1.3k 1.0× 136 0.9× 174 1.5× 56 0.6× 126 2.7k
Jeong Dong Bahk South Korea 30 2.3k 1.3× 1.9k 1.4× 77 0.5× 90 0.8× 157 1.7× 72 3.2k
Ana Carolina Maisonnave Arisi Brazil 25 1.6k 0.9× 1.2k 0.9× 119 0.8× 252 2.2× 120 1.3× 84 2.3k
Raju Datla Canada 30 1.9k 1.0× 1.7k 1.3× 119 0.8× 104 0.9× 297 3.1× 58 2.9k
Camila Caldana Germany 28 2.7k 1.5× 2.3k 1.7× 119 0.8× 96 0.8× 84 0.9× 71 3.7k
Dongwon Baek South Korea 34 2.9k 1.6× 1.8k 1.4× 75 0.5× 74 0.6× 53 0.6× 60 3.5k
Frederik Börnke Germany 32 2.1k 1.2× 1.4k 1.1× 64 0.4× 141 1.2× 135 1.4× 49 2.7k
Shanfa Lu China 33 2.9k 1.6× 3.0k 2.2× 70 0.5× 117 1.0× 158 1.7× 83 4.3k
Jyan-Chyun Jang United States 25 3.5k 1.9× 2.2k 1.7× 118 0.8× 81 0.7× 65 0.7× 34 3.9k
Ayako Nishizawa‐Yokoi Japan 21 2.4k 1.3× 2.1k 1.6× 54 0.4× 84 0.7× 120 1.3× 43 3.0k

Countries citing papers authored by Jun Tang

Since Specialization
Citations

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

Fields of papers citing papers by Jun Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jun Tang

This figure shows the co-authorship network connecting the top 25 collaborators of Jun Tang. A scholar is included among the top collaborators of Jun Tang 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 Jun Tang. Jun Tang 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.
Wang, Ke, Ning Zhong, Manli Yang, et al.. (2025). The impact of Bisphenol A on the endophytic bacterial community and transcriptome of soybean seedlings. iScience. 28(4). 112208–112208.
3.
Wang, Tongtong, et al.. (2023). Ectopic Expression of BcCUC2 Involved in Sculpting the Leaf Margin Serration in Arabidopsis thaliana. Genes. 14(6). 1272–1272. 3 indexed citations
4.
Xiao, Yu, Fei Fang, Jun Tang, et al.. (2022). Response of bacterial communities and function to dissolved organic matters in groundwater contaminated by landfill leachate. Environmental Science and Pollution Research. 30(5). 12428–12440. 14 indexed citations
5.
Wang, Yongjiang, Li Wang, Xin He, et al.. (2020). Characterization of inthomycin biosynthetic gene cluster revealing new insights into carboxamide formation. Chinese Journal of Natural Medicines. 18(9). 677–683. 2 indexed citations
6.
Wang, Siqi, Jun Tang, Kang‐Di Hu, et al.. (2019). Antioxidative system in sweet potato rootis activated by low‐temperature storage. Journal of the Science of Food and Agriculture. 99(8). 3824–3833. 27 indexed citations
7.
Dong, Xin, Jialei Ji, Limei Yang, et al.. (2019). Fine-mapping and transcriptome analysis of BoGL-3, a wax-less gene in cabbage (Brassica oleracea L. var. capitata). Molecular Genetics and Genomics. 294(5). 1231–1239. 12 indexed citations
8.
Li, Mao, et al.. (2019). Silage fermentation and ruminal degradation of cassava foliage prepared with microbial additive. AMB Express. 9(1). 180–180. 37 indexed citations
9.
Tang, Jun, Gai‐Fang Yao, Zhong‐Qin Huang, et al.. (2018). Central Role of Adenosine 5′-Phosphosulfate Reductase in the Control of Plant Hydrogen Sulfide Metabolism. Frontiers in Plant Science. 9. 1404–1404. 30 indexed citations
11.
Wang, Juan, et al.. (2017). Distribution characteristics of root system and carbon stock of Caragana microphylla Lam. in Aohan sandificational area.. Journal of Northwest A&F University. 45(2). 103–110. 3 indexed citations
12.
Gao, Liwei, Shanwu Lyu, Jun Tang, et al.. (2017). Genome-wide analysis of auxin transport genes identifies the hormone responsive patterns associated with leafy head formation in Chinese cabbage. Scientific Reports. 7(1). 42229–42229. 37 indexed citations
13.
Tang, Jun, Jing Lin, Hui Li, et al.. (2016). Characterization of CIPK Family in Asian Pear (Pyrus bretschneideri Rehd) and Co-expression Analysis Related to Salt and Osmotic Stress Responses. Frontiers in Plant Science. 7. 1361–1361. 28 indexed citations
14.
Hu, Rong, et al.. (2015). Identification and abiotic stress analysis of calmodulin-binding transcription activator/signal responsive genes in non-heading Chinese cabbage (Brassica campestris ssp. chinensis Makino). Plant Omics. 8(2). 141–147. 6 indexed citations
15.
Tang, Jun, et al.. (2014). Application of SRAP markers in the identification of Stylosanthes guianensis hybrids. Molecular Biology Reports. 41(9). 5923–5929. 10 indexed citations
16.
Tang, Jun, Feng Wang, Zhen Wang, et al.. (2013). Characterization and co-expression analysis of WRKY orthologs involved in responses to multiple abiotic stresses in Pak-choi (Brassica campestris ssp. chinensis). BMC Plant Biology. 13(1). 188–188. 51 indexed citations
17.
He, Wenjun, Lai Yue Chan, Richard J. Clark, et al.. (2013). Novel Inhibitor Cystine Knot Peptides from Momordica charantia. PLoS ONE. 8(10). e75334–e75334. 18 indexed citations
18.
Wang, Feng, Xilin Hou, Jun Tang, et al.. (2011). A novel cold-inducible gene from Pak-choi (Brassica campestris ssp. chinensis), BcWRKY46, enhances the cold, salt and dehydration stress tolerance in transgenic tobacco. Molecular Biology Reports. 39(4). 4553–4564. 80 indexed citations
19.
Wang, Conan K., Shuhong Hu, Jennifer L. Martin, et al.. (2009). Combined X-ray and NMR Analysis of the Stability of the Cyclotide Cystine Knot Fold That Underpins Its Insecticidal Activity and Potential Use as a Drug Scaffold. Journal of Biological Chemistry. 284(16). 10672–10683. 83 indexed citations
20.
Zhang, Hua, Jun Tang, Xiaoping Liu, et al.. (2009). Hydrogen Sulfide Promotes Root Organogenesis in Ipomoea batatas, Salix matsudana and Glycine max. Journal of Integrative Plant Biology. 51(12). 1086–1094. 187 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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