Ji-Qiang Jin

2.6k total citations
53 papers, 1.8k citations indexed

About

Ji-Qiang Jin is a scholar working on Pathology and Forensic Medicine, Molecular Biology and Food Science. According to data from OpenAlex, Ji-Qiang Jin has authored 53 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Pathology and Forensic Medicine, 20 papers in Molecular Biology and 14 papers in Food Science. Recurrent topics in Ji-Qiang Jin's work include Tea Polyphenols and Effects (28 papers), Food Quality and Safety Studies (11 papers) and Coffee research and impacts (8 papers). Ji-Qiang Jin is often cited by papers focused on Tea Polyphenols and Effects (28 papers), Food Quality and Safety Studies (11 papers) and Coffee research and impacts (8 papers). Ji-Qiang Jin collaborates with scholars based in China, Türkiye and Australia. Ji-Qiang Jin's co-authors include Liang Chen, Chun-Lei Ma, Ming-Zhe Yao, Jian‐Qiang Ma, Chunfang Li, Xinchao Wang, Yue‐Rong Liang, Ying-Ying Du, Jian‐Liang Lu and Yajun Yang and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Ji-Qiang Jin

53 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ji-Qiang Jin China 26 808 746 546 363 322 53 1.8k
Xiaomin Yu China 22 365 0.5× 703 0.9× 564 1.0× 171 0.5× 287 0.9× 52 1.5k
Carol H. Carter‐Wientjes United States 20 310 0.4× 507 0.7× 689 1.3× 203 0.6× 225 0.7× 40 1.4k
Jeong‐Yong Cho South Korea 23 169 0.2× 752 1.0× 779 1.4× 603 1.7× 606 1.9× 153 2.1k
Katia Petroni Italy 27 122 0.2× 2.3k 3.1× 1.8k 3.3× 1.1k 3.1× 333 1.0× 51 3.7k
G. R. Fenwick United Kingdom 16 389 0.5× 558 0.7× 423 0.8× 124 0.3× 246 0.8× 42 1.5k
Tomáš Kašparovský Czechia 13 284 0.4× 292 0.4× 396 0.7× 123 0.3× 86 0.3× 33 943
Justyna Mierziak Poland 8 63 0.1× 565 0.8× 727 1.3× 358 1.0× 284 0.9× 13 1.7k
Huan Jiang China 21 102 0.1× 567 0.8× 227 0.4× 98 0.3× 210 0.7× 62 1.3k
Yvonne Yuan Canada 22 337 0.4× 571 0.8× 358 0.7× 319 0.9× 299 0.9× 29 1.9k
R.A. Dixon United States 18 228 0.3× 1.1k 1.5× 1.1k 2.0× 152 0.4× 175 0.5× 33 2.1k

Countries citing papers authored by Ji-Qiang Jin

Since Specialization
Citations

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

Fields of papers citing papers by Ji-Qiang Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ji-Qiang Jin. 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 Ji-Qiang Jin. The network helps show where Ji-Qiang Jin may publish in the future.

Co-authorship network of co-authors of Ji-Qiang Jin

This figure shows the co-authorship network connecting the top 25 collaborators of Ji-Qiang Jin. A scholar is included among the top collaborators of Ji-Qiang Jin 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 Ji-Qiang Jin. Ji-Qiang Jin 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.
Jin, Ji-Qiang, Mengyuan Wei, Kelin Huang, et al.. (2023). Characterization of two O-methyltransferases involved in the biosynthesis of O-methylated catechins in tea plant. Nature Communications. 14(1). 5075–5075. 27 indexed citations
2.
Liu, Yufei, Mengyuan Wei, Chenyu Zhang, et al.. (2022). Deeply functional identification of TCS1 alleles provides efficient technical paths for low-caffeine breeding of tea plants. Horticulture Research. 10(2). uhac279–uhac279. 6 indexed citations
3.
Zhang, Shu-Ran, Ji-Qiang Jin, Jiedan Chen, Sezai Erċışlı, & Liang Chen. (2022). Purine alkaloids in tea plants: component, biosynthetic mechanism and genetic variation. SHILAP Revista de lepidopterología. 2(1). 1–9. 33 indexed citations
4.
Wang, Songlin, Jiedan Chen, Jian‐Qiang Ma, et al.. (2020). Novel insight into theacrine metabolism revealed by transcriptome analysis in bitter tea (Kucha, Camellia sinensis). Scientific Reports. 10(1). 6286–6286. 17 indexed citations
5.
Jin, Ji-Qiang, Chenkai Jiang, Ming-Zhe Yao, & Liang Chen. (2020). Baiyacha, a wild tea plant naturally occurring high contents of theacrine and 3″-methyl-epigallocatechin gallate from Fujian, China. Scientific Reports. 10(1). 9715–9715. 12 indexed citations
6.
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
7.
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
8.
Jin, Ji-Qiang, Jian‐Qiang Ma, Ming-Zhe Yao, Chun-Lei Ma, & Liang Chen. (2016). Functional natural allelic variants of flavonoid 3′,5′-hydroxylase gene governing catechin traits in tea plant and its relatives. Planta. 245(3). 523–538. 38 indexed citations
9.
Jin, Ji-Qiang. (2015). Attractions of volatiles from wax-apple fruit to the oriental fruit fly. Journal of the South China Agricultural University. 1 indexed citations
10.
Yao, Ming-Zhe, et al.. (2014). Cloning and Expression of Three Genes Involved in the Biosynthesis of Chlorophyll in Different Albescent Stages of “Baiye 1”. ACTA AGRONOMICA SINICA. 41(2). 240–250. 6 indexed citations
11.
Jin, Ji-Qiang, et al.. (2014). Cloning and sequence analysis of the N-methyltransferase gene family involving in caffeine biosynthesis of tea plant.. Chaye kexue. 34(2). 188–194. 3 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.
Shi, Guang, et al.. (2013). Dual PI3K/mTOR inhibitor NVP-BEZ235-induced apoptosis of hepatocellular carcinoma cell lines is enhanced by inhibitors of autophagy. International Journal of Molecular Medicine. 31(6). 1449–1456. 55 indexed citations
14.
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
15.
Jin, Ji-Qiang. (2012). Expression Analysis of Auxin-related Genes at Different Winter Dormant Stages of Axillary Buds in Tea Plant(Camellia sinensis). Chaye kexue. 1 indexed citations
16.
Jin, Ji-Qiang, et al.. (2010). The association analysis of phenotypic traits with EST-SSR markers in tea plants.. Chaye kexue. 30(1). 45–51. 3 indexed citations
17.
Jin, Ji-Qiang, et al.. (2010). Simplification of EcoTILLING technique for tea plant.. Chaye kexue. 30(1). 19–26. 2 indexed citations
18.
Jin, Ji-Qiang, et al.. (2008). Effect of ultraviolet B irradiation on accumulation of catechins in tea (Camellia sinensis (L) O. Kuntze. AFRICAN JOURNAL OF BIOTECHNOLOGY. 7(18). 3283–3287. 39 indexed citations
19.
Liang, Yue‐Rong, et al.. (2008). Chemical and Instrumental Assessment of Green Tea Sensory Preference. International Journal of Food Properties. 11(2). 258–272. 54 indexed citations
20.

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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