Cheng‐Yi Tang

585 total citations
23 papers, 481 citations indexed

About

Cheng‐Yi Tang is a scholar working on Plant Science, Molecular Biology and Toxicology. According to data from OpenAlex, Cheng‐Yi Tang has authored 23 papers receiving a total of 481 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Plant Science, 10 papers in Molecular Biology and 10 papers in Toxicology. Recurrent topics in Cheng‐Yi Tang's work include Bioactive Compounds and Antitumor Agents (10 papers), Plant Stress Responses and Tolerance (4 papers) and Plant Molecular Biology Research (4 papers). Cheng‐Yi Tang is often cited by papers focused on Bioactive Compounds and Antitumor Agents (10 papers), Plant Stress Responses and Tolerance (4 papers) and Plant Molecular Biology Research (4 papers). Cheng‐Yi Tang collaborates with scholars based in China, Czechia and Australia. Cheng‐Yi Tang's co-authors include Yonghua Yang, Jinliang Qi, Guihua Lu, Han‐Yue Qiu, Xiaoming Wang, Pengfei Wang, Hai‐Liang Zhu, Rongwu Yang, Hong‐Yan Lin and Hongyan Lin and has published in prestigious journals such as PLoS ONE, Scientific Reports and New Phytologist.

In The Last Decade

Cheng‐Yi Tang

21 papers receiving 474 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Cheng‐Yi Tang China 14 241 174 152 138 45 23 481
Rongwu Yang China 16 258 1.1× 148 0.9× 168 1.1× 135 1.0× 38 0.8× 41 534
Minkai Yang China 14 261 1.1× 116 0.7× 184 1.2× 102 0.7× 30 0.7× 49 527
Ignacio González‐Sánchez Mexico 13 153 0.6× 28 0.2× 93 0.6× 149 1.1× 35 0.8× 30 422
Danmei Tian China 12 235 1.0× 49 0.3× 57 0.4× 69 0.5× 23 0.5× 29 440
Sharifah Sakinah Syed Alwi Malaysia 13 267 1.1× 24 0.1× 62 0.4× 150 1.1× 96 2.1× 23 511
Anthony Siong Hock Ho Malaysia 11 114 0.5× 83 0.5× 75 0.5× 51 0.4× 15 0.3× 19 315
Luis Sánchez‐Sánchez Mexico 13 220 0.9× 48 0.3× 36 0.2× 110 0.8× 38 0.8× 26 400
Hai‐Feng Tang China 17 243 1.0× 46 0.3× 37 0.2× 54 0.4× 20 0.4× 47 764
Laetitia Moreno Y Banuls Belgium 12 224 0.9× 38 0.2× 93 0.6× 140 1.0× 27 0.6× 18 465
Hülya Sivas Türkiye 11 149 0.6× 32 0.2× 79 0.5× 54 0.4× 57 1.3× 27 346

Countries citing papers authored by Cheng‐Yi Tang

Since Specialization
Citations

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

Fields of papers citing papers by Cheng‐Yi Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cheng‐Yi Tang

This figure shows the co-authorship network connecting the top 25 collaborators of Cheng‐Yi Tang. A scholar is included among the top collaborators of Cheng‐Yi 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 Cheng‐Yi Tang. Cheng‐Yi 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.
Chen, Tingting, et al.. (2025). The baldcypress genome provides insights into the adaptive evolution of flooding stress tolerance. New Phytologist. 247(2). 979–997.
2.
3.
Tang, Cheng‐Yi, Song Li, Yuntong Wang, & Xi Wang. (2019). Comparative genome/transcriptome analysis probes Boraginales' phylogenetic position, WGDs in Boraginales, and key enzyme genes in the alkannin/shikonin core pathway. Molecular Ecology Resources. 20(1). 228–241. 25 indexed citations
4.
Lu, Guihua, Li Liang, Zhongling Wen, et al.. (2018). Identification of Major Rhizobacterial Taxa Affected by a Glyphosate-Tolerant Soybean Line via Shotgun Metagenomic Approach. Genes. 9(4). 214–214. 7 indexed citations
5.
Lu, Guihua, Cheng‐Yi Tang, Jing Cheng, et al.. (2018). Effects of an EPSPS-transgenic soybean line ZUTS31 on root-associated bacterial communities during field growth. PLoS ONE. 13(2). e0192008–e0192008. 24 indexed citations
6.
7.
Lu, Guihua, Cheng‐Yi Tang, Guo‐Fei Tan, et al.. (2017). Identification and comparative analysis of aluminum-induced microRNAs conferring plant tolerance to aluminum stress in soybean. Biologia Plantarum. 62(1). 97–108. 20 indexed citations
8.
Zhu, Yu, Guihua Lu, Fengyao Wu, et al.. (2017). Involvement of LeMDR, an ATP-binding cassette protein gene, in shikonin transport and biosynthesis in Lithospermum erythrorhizon. BMC Plant Biology. 17(1). 198–198. 12 indexed citations
9.
Qiu, Han‐Yue, Jiangyan Fu, Minkai Yang, et al.. (2017). Identification of new shikonin derivatives as STAT3 inhibitors. Biochemical Pharmacology. 146. 74–86. 37 indexed citations
10.
Lu, Guihua, Yinling Zhu, Jing Cheng, et al.. (2017). Impact of a Glyphosate-Tolerant Soybean Line on the Rhizobacteria, Revealed by Illumina MiSeq. Journal of Microbiology and Biotechnology. 27(3). 561–572. 21 indexed citations
11.
Qiu, Han‐Yue, Xiang Zhu, Hongyan Lin, et al.. (2017). Identification of New Shikonin Derivatives as Antitumor Agents Targeting STAT3 SH2 Domain. Scientific Reports. 7(1). 2863–2863. 31 indexed citations
12.
Lin, Hongyan, Hongwei Han, Wenxue Sun, et al.. (2017). Design and characterization of α -lipoic acyl shikonin ester twin drugs as tubulin and PDK1 dual inhibitors. European Journal of Medicinal Chemistry. 144. 137–150. 41 indexed citations
13.
Zhu, Yushan, Cheng‐Yi Tang, Guihua Lu, et al.. (2017). Involvement of LeMRP, an ATP‐binding cassette transporter, in shikonin transport and biosynthesis in Lithospermum erythrorhizon. Plant Biology. 20(2). 365–373. 10 indexed citations
14.
Wu, Fengyao, Cheng‐Yi Tang, Minkai Yang, et al.. (2016). Comparison of miRNAs and Their Targets in Seed Development between Two Maize Inbred Lines by High-Throughput Sequencing and Degradome Analysis. PLoS ONE. 11(7). e0159810–e0159810. 13 indexed citations
15.
Zhao, Pingzhi, Lubomir N. Sokolov, Jian Ye, et al.. (2016). The LIKE SEX FOUR2 regulates root development by modulating reactive oxygen species homeostasis in Arabidopsis. Scientific Reports. 6(1). 28683–28683. 14 indexed citations
16.
Tang, Cheng‐Yi, Minkai Yang, Fengyao Wu, et al.. (2015). Identification of miRNAs and their targets in transgenic Brassica napus and its acceptor (Westar) by high-throughput sequencing and degradome analysis. RSC Advances. 5(104). 85383–85394. 9 indexed citations
17.
Tang, Cheng‐Yi, et al.. (2015). Targeted photosensitizer nanoconjugates based on human serum albumin selectively kill tumor cells upon photo-irradiation. RSC Advances. 5(62). 50572–50579. 9 indexed citations
18.
Ma, Lin, Guohua Xu, Lifei Bai, et al.. (2015). A Potent Anticancer Agent of Shikonin Derivative Targeting Tubulin. Chirality. 27(3). 274–280. 9 indexed citations
19.
Leclercq, Julie, Xavier Argout, Songnian Hu, et al.. (2013). The small RNA profile in latex from Hevea brasiliensis trees is affected by tapping panel dryness. Tree Physiology. 33(10). 1084–1098. 36 indexed citations
20.
Tang, Cheng‐Yi & B. D. Thomson. (1996). Effects of solution pH and bicarbonate on the growth and nodulation of a range of grain legume species. Hydrobiologia. 186(2). 321–330. 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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