Chun-Lei Ma

2.5k total citations
59 papers, 1.6k citations indexed

About

Chun-Lei Ma is a scholar working on Molecular Biology, Pathology and Forensic Medicine and Plant Science. According to data from OpenAlex, Chun-Lei Ma has authored 59 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Molecular Biology, 24 papers in Pathology and Forensic Medicine and 18 papers in Plant Science. Recurrent topics in Chun-Lei Ma's work include Tea Polyphenols and Effects (24 papers), Food Quality and Safety Studies (10 papers) and Plant Gene Expression Analysis (9 papers). Chun-Lei Ma is often cited by papers focused on Tea Polyphenols and Effects (24 papers), Food Quality and Safety Studies (10 papers) and Plant Gene Expression Analysis (9 papers). Chun-Lei Ma collaborates with scholars based in China, Australia and South Korea. Chun-Lei Ma's co-authors include Liang Chen, Ming-Zhe Yao, Jian‐Qiang Ma, Ji-Qiang Jin, Chunfang Li, Xinchao Wang, Yajun Yang, Yan‐Xia Xu, Xinyuan Hao and Chuan Yue and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Journal of Agricultural and Food Chemistry.

In The Last Decade

Chun-Lei Ma

54 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chun-Lei Ma China 24 826 665 652 257 247 59 1.6k
Ming-Zhe Yao China 24 742 0.9× 554 0.8× 784 1.2× 288 1.1× 308 1.2× 53 1.6k
Chaoling Wei China 27 1.3k 1.6× 1.1k 1.7× 633 1.0× 232 0.9× 267 1.1× 57 2.3k
Enhua Xia China 28 1.4k 1.6× 1.1k 1.7× 445 0.7× 177 0.7× 188 0.8× 57 2.2k
Chuan Yue China 24 944 1.1× 1.1k 1.7× 408 0.6× 179 0.7× 218 0.9× 48 1.7k
Shiqi Zhao China 19 580 0.7× 466 0.7× 369 0.6× 179 0.7× 162 0.7× 31 1.1k
Hongli Cao China 21 839 1.0× 921 1.4× 336 0.5× 149 0.6× 184 0.7× 51 1.6k
Zhongxiong Lai China 30 1.5k 1.8× 1.8k 2.8× 431 0.7× 245 1.0× 415 1.7× 206 2.8k
Xinyuan Hao China 31 1.3k 1.6× 1.9k 2.8× 396 0.6× 137 0.5× 171 0.7× 86 2.5k
Zhaoliang Zhang China 22 608 0.7× 1.0k 1.5× 524 0.8× 177 0.7× 202 0.8× 49 1.6k
Naixing Ye China 28 820 1.0× 537 0.8× 723 1.1× 330 1.3× 505 2.0× 69 1.6k

Countries citing papers authored by Chun-Lei Ma

Since Specialization
Citations

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

Fields of papers citing papers by Chun-Lei Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chun-Lei Ma. 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 Chun-Lei Ma. The network helps show where Chun-Lei Ma may publish in the future.

Co-authorship network of co-authors of Chun-Lei Ma

This figure shows the co-authorship network connecting the top 25 collaborators of Chun-Lei Ma. A scholar is included among the top collaborators of Chun-Lei Ma 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 Chun-Lei Ma. Chun-Lei Ma 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.
Zhang, Chen‐Yu, Hongli Li, Yuanyuan Ye, et al.. (2025). QTL detection and candidate gene analysis of the anthracnose resistance locus in tea plant (Camellia sinensis). Journal of Integrative Agriculture. 24(6). 2240–2250. 2 indexed citations
2.
Zhou, Jianying, Chao Xu, Li Zhang, & Chun-Lei Ma. (2024). EP.11A.28 Efficacy and Safety of Penpulimab-Containing Regimens for Advanced Malignant Solid Tumors That Have Failed Immunotherapy: A Real World Study.. Journal of Thoracic Oncology. 19(10). S608–S608.
3.
Li, Erzhong, Chun-Lei Ma, & Y. Hu. (2024). First results of a newly built hard x-ray/soft gamma spectrometer imaging system: on the aspect of plasma disruptions. Nuclear Fusion. 64(12). 126018–126018.
4.
Zhang, Chenyu, Yuanyuan Li, Yang Gong, et al.. (2024). Developmental-specific regulation promotes the free amino acids accumulation in chlorotic tea plants (Camellia sinensis). Journal of Plant Physiology. 303. 154371–154371.
5.
Liu, Dingding, Kang Wei, Chenyu Zhang, et al.. (2023). The potential effects of chlorophyll-deficient mutation and tree_age on the accumulation of amino acid components in tea plants. Food Chemistry. 411. 135527–135527. 20 indexed citations
6.
Li, Yuanyuan, Chenyu Zhang, Chun-Lei Ma, Liang Chen, & Ming-Zhe Yao. (2023). Transcriptome and Biochemical Analyses of a Chlorophyll-Deficient Bud Mutant of Tea Plant (Camellia sinensis). International Journal of Molecular Sciences. 24(20). 15070–15070. 6 indexed citations
7.
Zhang, Chenyu, Haoran Liu, Dingding Liu, et al.. (2023). A key mutation in magnesium chelatase I subunit leads to a chlorophyll-deficient mutant of tea (Camellia sinensis). Journal of Experimental Botany. 75(3). 935–946. 8 indexed citations
8.
Chen, Jiedan, Weizhong He, Si Chen, et al.. (2022). TeaGVD: A comprehensive database of genomic variations for uncovering the genetic architecture of metabolic traits in tea plants. Frontiers in Plant Science. 13. 1056891–1056891. 15 indexed citations
9.
Wang, Songlin, et al.. (2018). Analysis of genetic diversity and construction of DNA fingerprints of chlorophyll-deficient tea cultivars by SSR markers.. Chaye kexue. 38(1). 58–68. 2 indexed citations
10.
Jin, Ji-Qiang, Ming-Zhe Yao, Chun-Lei Ma, Jian‐Qiang Ma, & Liang Chen. (2016). Association mapping of caffeine content with TCS1 in tea plant and its related species. Plant Physiology and Biochemistry. 105. 251–259. 31 indexed citations
11.
Ma, Jian‐Qiang, Long Huang, Chun-Lei Ma, et al.. (2015). Large-Scale SNP Discovery and Genotyping for Constructing a High-Density Genetic Map of Tea Plant Using Specific-Locus Amplified Fragment Sequencing (SLAF-seq). PLoS ONE. 10(6). e0128798–e0128798. 65 indexed citations
12.
Ma, Jian‐Qiang, Ming-Zhe Yao, Chun-Lei Ma, et al.. (2014). Construction of a SSR-Based Genetic Map and Identification of QTLs for Catechins Content in Tea Plant (Camellia sinensis). PLoS ONE. 9(3). e93131–e93131. 65 indexed citations
13.
Wang, Xinchao, Qiongyi Zhao, Chun-Lei Ma, et al.. (2013). Global transcriptome profiles of Camellia sinensis during cold acclimation. BMC Genomics. 14(1). 415–415. 253 indexed citations
14.
15.
Ma, Chun-Lei, et al.. (2010). Cloning and expression analysis of leucoanthocyantin reducase gene of tea plant (Camellia sinensis).. Chaye kexue. 30(1). 27–36. 2 indexed citations
16.
Jin, Ji-Qiang, et al.. (2010). Simplification of EcoTILLING technique for tea plant.. Chaye kexue. 30(1). 19–26. 2 indexed citations
17.
Chen, Liang, et al.. (2009). Differential expression analysis of β-glucosidase and β-primeverosidase genes in tea plant (Camellia sinensis).. Acta Horticulturae Sinica. 36(1). 87–92. 1 indexed citations
18.
Chen, Liang, et al.. (2009). Genetic diversity and structure of tea germplasm originated from region of North Yangtze River based on EST-SSR markers.. Chaye kexue. 29(3). 243–250. 3 indexed citations
19.
Ma, Chun-Lei, et al.. (2008). Analysis and Evaluation of Biochemical Components in Bitter Tea Plant Germplasms. Agricultural Science and Technology. 4 indexed citations
20.
Ma, Chun-Lei & Liang Chen. (2007). Research progress on isolation and cloning of functional genes in tea plants. Frontiers of Agriculture in China. 1(4). 449–455. 11 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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