Meiling Gao

719 total citations
21 papers, 514 citations indexed

About

Meiling Gao is a scholar working on Genetics, Plant Science and Molecular Biology. According to data from OpenAlex, Meiling Gao has authored 21 papers receiving a total of 514 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Genetics, 13 papers in Plant Science and 8 papers in Molecular Biology. Recurrent topics in Meiling Gao's work include Advances in Cucurbitaceae Research (13 papers), Plant Molecular Biology Research (7 papers) and Plant Virus Research Studies (5 papers). Meiling Gao is often cited by papers focused on Advances in Cucurbitaceae Research (13 papers), Plant Molecular Biology Research (7 papers) and Plant Virus Research Studies (5 papers). Meiling Gao collaborates with scholars based in China and United States. Meiling Gao's co-authors include Yiqun Weng, Yupeng Pan, Feishi Luan, Shi Liu, Yuhui Wang, Cecilia McGregor, Yuhong Li, Liangliang Hu, Huanwen Meng and Zhihui Cheng and has published in prestigious journals such as Frontiers in Plant Science, Theoretical and Applied Genetics and BMC Plant Biology.

In The Last Decade

Meiling Gao

20 papers receiving 510 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Meiling Gao China 8 417 310 239 138 21 21 514
Jian Pan China 13 482 1.2× 146 0.5× 320 1.3× 71 0.5× 6 0.3× 21 545
Marivi Colle United States 11 360 0.9× 163 0.5× 163 0.7× 88 0.6× 9 0.4× 16 429
Zbigniew Przybecki Poland 10 297 0.7× 195 0.6× 187 0.8× 116 0.8× 3 0.1× 32 387
Masami Morishita Japan 11 374 0.9× 131 0.4× 109 0.5× 60 0.4× 5 0.2× 44 401
Yan R. Tomason United States 11 287 0.7× 214 0.7× 95 0.4× 61 0.4× 2 0.1× 18 355
Shouru Sun China 12 305 0.7× 191 0.6× 169 0.7× 52 0.4× 2 0.1× 29 364
Junling Dou China 13 396 0.9× 259 0.8× 219 0.9× 55 0.4× 24 478
Noa Reis Israel 6 352 0.8× 333 1.1× 58 0.2× 140 1.0× 4 0.2× 6 404
L. Silberstein Israel 7 295 0.7× 153 0.5× 105 0.4× 79 0.6× 2 0.1× 9 333
Yalin Du China 8 232 0.6× 84 0.3× 169 0.7× 40 0.3× 2 0.1× 15 286

Countries citing papers authored by Meiling Gao

Since Specialization
Citations

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

Fields of papers citing papers by Meiling Gao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Meiling Gao

This figure shows the co-authorship network connecting the top 25 collaborators of Meiling Gao. A scholar is included among the top collaborators of Meiling Gao 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 Meiling Gao. Meiling Gao 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.
Liu, Sitong, Sikandar Amanullah, Guo Yu, et al.. (2025). Uncovering the genetic mechanism of rind color trait in watermelon using fine mapping and comparative transcriptomic analysis. Frontiers in Plant Science. 16. 1553166–1553166.
2.
Liang, Yan, et al.. (2025). Genotype-dependent induction of embryogenic callus and programmed cell death in Korean pine. BMC Plant Biology. 25(1). 741–741. 1 indexed citations
3.
Yang, Shao H., Sikandar Amanullah, Yu Amanda Guo, et al.. (2024). Fine genetic mapping and transcriptomic analysis revealed major gene modulating the clear stripe margin pattern of watermelon peel. Frontiers in Plant Science. 15. 1462141–1462141. 2 indexed citations
4.
Liu, Xiaoqing, et al.. (2024). Preparing Retinal Organoid Samples for Transmission Electron Microscopy. Journal of Visualized Experiments. 1 indexed citations
5.
Xu, Ming, Meiling Gao, Sikandar Amanullah, et al.. (2023). Fine genetic mapping confers a major gene controlling leaf shape variation in watermelon. Euphytica. 219(9). 5 indexed citations
6.
Li, Hewei, Sikandar Amanullah, Yu Amanda Guo, et al.. (2023). A single nucleotide mutation in ClphyB gene is associated with a short lateral branch phenotype in watermelon. Scientia Horticulturae. 321. 112378–112378. 3 indexed citations
7.
Amanullah, Sikandar, Shenglong Li, Tiantian Yang, et al.. (2023). Primary mapping of quantitative trait loci regulating multivariate horticultural phenotypes of watermelon (Citrullus lanatus L.). Frontiers in Plant Science. 13. 1034952–1034952. 7 indexed citations
8.
Zhao, Qi, Xu Yang, Jiaming Zhang, et al.. (2023). Network characterization linc1393 in the maintenance of pluripotency provides the principles for lncRNA targets prediction. iScience. 26(8). 107469–107469. 2 indexed citations
9.
Liang, Xiaoxue, Meiling Gao, Sikandar Amanullah, et al.. (2022). Identification of QTLs linked with watermelon fruit and seed traits using GBS-based high-resolution genetic mapping. Scientia Horticulturae. 303. 111237–111237. 14 indexed citations
10.
Liang, Xiaoxue, Meiling Gao, Sikandar Amanullah, et al.. (2022). Molecular mapping of candidate gene regulating fruit stripe trait in watermelon. Euphytica. 218(12). 2 indexed citations
11.
Liang, Yan, et al.. (2022). Morphological and endogenous phytohormone changes during long-term embryogenic cultures in Korean pine. Plant Cell Tissue and Organ Culture (PCTOC). 151(2). 253–264. 10 indexed citations
12.
Guo, Yu Amanda, Meiling Gao, Xiaoxue Liang, et al.. (2020). Quantitative Trait Loci for Seed Size Variation in Cucurbits – A Review. Frontiers in Plant Science. 11. 304–304. 32 indexed citations
13.
Gao, Meiling, Xiaoxue Liang, Yu Amanda Guo, et al.. (2020). QTL analysis of seed size by a high-density GBS genetic map in watermelon (Citrullus lanatus L.). Acta Horticulturae. 121–126. 1 indexed citations
14.
Liu, Shi, Peng Gao, Qianglong Zhu, et al.. (2020). Resequencing of 297 melon accessions reveals the genomic history of improvement and loci related to fruit traits in melon. Plant Biotechnology Journal. 18(12). 2545–2558. 64 indexed citations
15.
Pan, Yupeng, Yuhui Wang, Cecilia McGregor, et al.. (2019). Genetic architecture of fruit size and shape variation in cucurbits: a comparative perspective. Theoretical and Applied Genetics. 133(1). 1–21. 141 indexed citations
16.
17.
Gao, Meiling, Liangliang Hu, Yuhong Li, & Yiqun Weng. (2016). The chlorophyll-deficient golden leaf mutation in cucumber is due to a single nucleotide substitution in CsChlI for magnesium chelatase I subunit. Theoretical and Applied Genetics. 129(10). 1961–1973. 75 indexed citations
18.
Pan, Yupeng, Meiling Gao, Hanqiang Liu, et al.. (2016). Round fruit shape in WI7239 cucumber is controlled by two interacting quantitative trait loci with one putatively encoding a tomato SUN homolog. Theoretical and Applied Genetics. 130(3). 573–586. 92 indexed citations
19.
Gao, Meiling, et al.. (2011). QTL Analysis of the First Fertile Flower Node of Cucumis melo L.. Acta Horticulturae Sinica. 38(9). 1753. 4 indexed citations
20.
Luan, Feishi, et al.. (2010). INHERITANCE AND MOLECULAR MAPPING OF ANDROMONOECIOUS AND GYNOECIOUS SEX DETERMINING GENES IN MELON (CUCUMIS MELO L.). Acta Horticulturae. 197–200. 3 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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