Lingliang Guan

470 total citations
27 papers, 348 citations indexed

About

Lingliang Guan is a scholar working on Plant Science, Molecular Biology and Food Science. According to data from OpenAlex, Lingliang Guan has authored 27 papers receiving a total of 348 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Plant Science, 12 papers in Molecular Biology and 7 papers in Food Science. Recurrent topics in Lingliang Guan's work include Plant biochemistry and biosynthesis (9 papers), Lipid metabolism and biosynthesis (4 papers) and Essential Oils and Antimicrobial Activity (4 papers). Lingliang Guan is often cited by papers focused on Plant biochemistry and biosynthesis (9 papers), Lipid metabolism and biosynthesis (4 papers) and Essential Oils and Antimicrobial Activity (4 papers). Lingliang Guan collaborates with scholars based in China, Egypt and Hong Kong. Lingliang Guan's co-authors include Lei Liu, Wei Wu, Yi Huang, Ke Liu, Xuying Wang, Bo Wei, Tingting Chen, Ying Zhang, Haoxiang Zhao and Fu-Lai Yu and has published in prestigious journals such as PLoS ONE, International Journal of Molecular Sciences and Frontiers in Plant Science.

In The Last Decade

Lingliang Guan

25 papers receiving 340 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lingliang Guan China 9 140 93 85 49 43 27 348
N. Sivaraj India 13 326 2.3× 111 1.2× 21 0.2× 26 0.5× 11 0.3× 59 476
Shreekar Pant India 15 300 2.1× 110 1.2× 52 0.6× 43 0.9× 4 0.1× 29 506
Mingwan Li China 12 105 0.8× 116 1.2× 10 0.1× 15 0.3× 6 0.1× 29 269
Aykut Güvensen Türkiye 11 140 1.0× 57 0.6× 10 0.1× 26 0.5× 4 0.1× 34 386
Layara Alexandre Bessa Brazil 10 211 1.5× 84 0.9× 8 0.1× 44 0.9× 3 0.1× 53 357
Zhou Guoying China 10 167 1.2× 96 1.0× 4 0.0× 21 0.4× 7 0.2× 39 326
Pengshan Zhao China 13 279 2.0× 158 1.7× 4 0.0× 11 0.2× 8 0.2× 32 413
Mariza Barion Romagnolo Brazil 10 149 1.1× 71 0.8× 2 0.0× 46 0.9× 8 0.2× 48 316
Luis López‐Pérez Mexico 10 379 2.7× 139 1.5× 3 0.0× 18 0.4× 16 0.4× 43 498
Vignesh Dhandapani South Korea 13 597 4.3× 273 2.9× 3 0.0× 33 0.7× 19 0.4× 33 746

Countries citing papers authored by Lingliang Guan

Since Specialization
Citations

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

Fields of papers citing papers by Lingliang Guan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lingliang Guan

This figure shows the co-authorship network connecting the top 25 collaborators of Lingliang Guan. A scholar is included among the top collaborators of Lingliang Guan 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 Lingliang Guan. Lingliang Guan 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.
Li, Xin, Zhen‐Xia Chen, Kai Wang, et al.. (2025). Genetic diversity, population structure and quality-trait associations in Blumea balsamifera revealed by EST-SSR markers. PLoS ONE. 20(7). e0328403–e0328403.
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Guan, Lingliang, Jingtian Yang, Chao Yuan, et al.. (2025). Multi-omics analysis revealing the taste characteristics and formation mechanism of Ocimum. Journal of Pharmaceutical and Biomedical Analysis. 267. 117130–117130.
5.
Guan, Lingliang, Lixin Yang, Fu-Lai Yu, et al.. (2024). Integrative metabolome and transcriptome analysis characterized methyl jasmonate‐elicited flavonoid metabolites of Blumea balsamifera. Physiologia Plantarum. 176(5). e14488–e14488. 1 indexed citations
6.
Jiang, Xue, Yanping Qu, Jingtian Yang, et al.. (2024). Long-term ecological restoration increased plant diversity and soil total phosphorus content of the alpine flowing sand land in northwest Sichuan, China. Heliyon. 10(2). e24035–e24035. 14 indexed citations
7.
Guan, Lingliang, Na Lin, Lingyun Wan, et al.. (2024). Transcriptome analysis revealed the role of moderate exogenous methyl jasmonate treatments in enhancing the metabolic pathway of L-borneol in the Blumea balsamifera. Frontiers in Plant Science. 15. 1391042–1391042. 3 indexed citations
8.
Yuan, Honglun, Yayu Chen, Haihong Zhou, et al.. (2023). Identification of Key Aromatic Compounds in Basil (Ocimum L.) Using Sensory Evaluation, Metabolomics and Volatilomics Analysis. Metabolites. 13(1). 85–85. 20 indexed citations
9.
Chen, Wenjing, et al.. (2023). Transcriptome Analysis Reveals Genes Associated with Flooding Tolerance in Mulberry Plants. Life. 13(5). 1087–1087. 7 indexed citations
10.
Li, Yanqun, Yuxin Pang, Qilei Chen, et al.. (2023). A comparative analysis of morphology, microstructure, and volatile metabolomics of leaves at varied developmental stages in Ainaxiang (Blumea balsamifera (Linn.) DC.). Frontiers in Plant Science. 14. 1285616–1285616. 2 indexed citations
11.
Wan, Lingyun, Qiulan Huang, Xiaowen Ji, et al.. (2023). RNA sequencing in Artemisia annua L explored the genetic and metabolic responses to hardly soluble aluminum phosphate treatment. Functional & Integrative Genomics. 23(2). 141–141. 3 indexed citations
12.
Guan, Lingliang, Fu-Lai Yu, Xue Jiang, et al.. (2023). The recent progress in the research of extraction and functional applications of basil seed gum. Heliyon. 9(9). e19302–e19302. 9 indexed citations
13.
Guan, Lingliang, et al.. (2022). Potential distribution of Blumea balsamifera in China using MaxEnt and the ex situ conservation based on its effective components and fresh leaf yield. Environmental Science and Pollution Research. 29(29). 44003–44019. 29 indexed citations
14.
Zhang, Yingbo, et al.. (2020). [Antibacterial secondary metabolites of Clonostachys rosea, an endophytic fungus from Blumea balsamifera (L.) DC.]. PubMed. 36(8). 1650–1658. 2 indexed citations
15.
Yuan, Chao, Lin Fan, Yingbo Zhang, et al.. (2020). New paraconic acids from the endophytic fungusXylariaceaesp. J4. Natural Product Research. 36(1). 130–135. 1 indexed citations
16.
Yu, Ma, Lingliang Guan, Guoyue Chen, Zhien Pu, & Dabin Hou. (2016). Allopolyploidy-induced rapid genomic changes in newly generated synthetic hexaploid wheat. Biotechnology & Biotechnological Equipment. 31(2). 236–242. 5 indexed citations
17.
Liu, Lei, et al.. (2016). A Review of Fatty Acids and Genetic Characterization of Safflower (Carthamus Tinctorius L.) Seed Oil. World Journal of Traditional Chinese Medicine. 2(2). 48–52. 37 indexed citations
18.
Zhao, Zhi, et al.. (2016). Metabolic pathway of flavonoids in Blumea balsamifera. China Journal of Chinese Materia Medica. 41(19). 3630–3636. 5 indexed citations
19.
Guan, Lingliang, et al.. (2014). Analysis of metabolic pathway of terpenoids in Blumea balsamifera. China Journal of Chinese Materia Medica. 41(9). 1585–1591. 2 indexed citations
20.
Guan, Lingliang, et al.. (2013). Phylogeny and functional divergence of ω-6 and ω-3 fatty acid desaturase families. Hereditas (Beijing). 35(5). 643–654. 2 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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