Nan He

1.8k total citations
46 papers, 948 citations indexed

About

Nan He is a scholar working on Plant Science, Molecular Biology and Genetics. According to data from OpenAlex, Nan He has authored 46 papers receiving a total of 948 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Plant Science, 20 papers in Molecular Biology and 14 papers in Genetics. Recurrent topics in Nan He's work include Advances in Cucurbitaceae Research (14 papers), Plant Molecular Biology Research (9 papers) and Plant Disease Management Techniques (7 papers). Nan He is often cited by papers focused on Advances in Cucurbitaceae Research (14 papers), Plant Molecular Biology Research (9 papers) and Plant Disease Management Techniques (7 papers). Nan He collaborates with scholars based in China, Pakistan and Egypt. Nan He's co-authors include Xuqiang Lü, Wenge Liu, Hongju Zhu, Shengjie Zhao, Junling Dou, Ali Aslam, Pingli Yuan, Haileslassie Gebremeskel, Chengsheng Gong and Lei Gao and has published in prestigious journals such as PLoS ONE, Scientific Reports and International Journal of Molecular Sciences.

In The Last Decade

Nan He

45 papers receiving 931 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Nan He China	19	606	392	325	83	81	46	948
Biao Jiang China	14	591 1.0×	374 1.0×	235 0.7×	92 1.1×	30 0.4×	63	860
Yoshikazu Hoshi Japan	15	585 1.0×	333 0.8×	238 0.7×	63 0.8×	34 0.4×	78	818
Piero G. Delprete France	15	491 0.8×	611 1.6×	27 0.1×	23 0.3×	151 1.9×	89	1.2k
Jiangjie Lu China	24	871 1.4×	673 1.7×	276 0.8×	15 0.2×	77 1.0×	51	1.4k
Mengxiao Yan China	13	210 0.3×	353 0.9×	63 0.2×	16 0.2×	23 0.3×	27	574
Jiangping Song China	18	666 1.1×	559 1.4×	114 0.4×	36 0.4×	51 0.6×	66	924
Jie Luo China	16	716 1.2×	609 1.6×	275 0.8×	15 0.2×	75 0.9×	57	1.2k
Zijing Chen China	14	497 0.8×	485 1.2×	69 0.2×	31 0.4×	46 0.6×	26	708
Robert A. DeFilipps United States	7	311 0.5×	250 0.6×	24 0.1×	8 0.1×	94 1.2×	16	667

Countries citing papers authored by Nan He

Since Specialization

Citations

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

Fields of papers citing papers by Nan He

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nan He

This figure shows the co-authorship network connecting the top 25 collaborators of Nan He. A scholar is included among the top collaborators of Nan He 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 Nan He. Nan He is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Wei, Xiangyu, Xu Li, Nan He, et al.. (2024). SaTDT enhanced plant tolerance to NaCl stress by modulating the levels of malic acid and citric acid in cells. Plant Molecular Biology. 115(1). 4–4. 3 indexed citations

Lü, Xuqiang, Nan He, Muhammad Anees, et al.. (2024). A Comparison of Watermelon Flesh Texture across Different Ploidy Levels Using Histology and Cell Wall Measurements. Horticulturae. 10(2). 112–112. 4 indexed citations

Liu, Zhihong, et al.. (2023). Effects of Diffuse Light Film Rain Shelter on the Growth and Fruit Quality of Fresh Grape. Russian Journal of Plant Physiology. 70(6). 1 indexed citations

He, Nan, Muhammad Jawad Umer, Pingli Yuan, et al.. (2023). Physiological, biochemical, and metabolic changes in diploid and triploid watermelon leaves during flooding. Frontiers in Plant Science. 14. 1108795–1108795. 4 indexed citations

Kaseb, Mohamed Omar, Muhammad Jawad Umer, Xuqiang Lü, et al.. (2023). Comparative physiological and biochemical mechanisms in diploid, triploid, and tetraploid watermelon (Citrullus lanatus L.) grafted by branches. Scientific Reports. 13(1). 4993–4993. 9 indexed citations

Gebremeskel, Haileslassie, Muhammad Jawad Umer, Hongju Zhu, et al.. (2023). Genetic mapping and molecular characterization of the delayed green gene dg in watermelon (Citrullus lanatus). Frontiers in Plant Science. 14. 1152644–1152644. 4 indexed citations

Yuan, Pingli, Congping Xu, Nan He, et al.. (2022). Watermelon domestication was shaped by stepwise selection and regulation of the metabolome. Science China Life Sciences. 66(3). 579–594. 17 indexed citations

Gong, Chengsheng, Hongju Zhu, Muhammad Jawad Umer, et al.. (2021). Metabolome and Transcriptome Integration Reveals Insights Into Flavor Formation of ‘Crimson’ Watermelon Flesh During Fruit Development. Frontiers in Plant Science. 12. 629361–629361. 33 indexed citations

Gong, Chengsheng, Hongju Zhu, Xuqiang Lü, et al.. (2021). An integrated transcriptome and metabolome approach reveals the accumulation of taste-related metabolites and gene regulatory networks during watermelon fruit development. Planta. 254(2). 35–35. 22 indexed citations

10.

Yuan, Pingli, Muhammad Jawad Umer, Nan He, et al.. (2021). Transcriptome regulation of carotenoids in five flesh-colored watermelons (Citrullus lanatus). BMC Plant Biology. 21(1). 203–203. 24 indexed citations

11.

Anees, Muhammad, Lei Gao, Muhammad Jawad Umer, et al.. (2021). Identification of Key Gene Networks Associated With Cell Wall Components Leading to Flesh Firmness in Watermelon. Frontiers in Plant Science. 12. 630243–630243. 18 indexed citations

12.

Aslam, Ali, et al.. (2020). Rootstock mediates transcriptional regulation of citrulline metabolism in grafted watermelon. Brazilian Journal of Biology. 81(1). 125–136. 3 indexed citations

13.

Umer, Muhammad Jawad, Luqman Bin Safdar, Haileslassie Gebremeskel, et al.. (2020). Identification of key gene networks controlling organic acid and sugar metabolism during watermelon fruit development by integrating metabolic phenotypes and gene expression profiles. Horticulture Research. 7(1). 193–193. 102 indexed citations

14.

Dou, Junling, Xuqiang Lü, Ali Aslam, et al.. (2018). Genetic mapping reveals a marker for yellow skin in watermelon (Citrullus lanatus L.). PLoS ONE. 13(9). e0200617–e0200617. 31 indexed citations

15.

Gao, Lei, Shengjie Zhao, Xuqiang Lü, et al.. (2018). Comparative transcriptome analysis reveals key genes potentially related to soluble sugar and organic acid accumulation in watermelon. PLoS ONE. 13(1). e0190096–e0190096. 50 indexed citations

16.

Zhu, Hongju, Shengjie Zhao, Xuqiang Lü, et al.. (2018). Genome duplication improves the resistance of watermelon root to salt stress. Plant Physiology and Biochemistry. 133. 11–21. 32 indexed citations

17.

Dou, Junling, Shengjie Zhao, Xuqiang Lü, et al.. (2018). Genetic mapping reveals a candidate gene (ClFS1) for fruit shape in watermelon (Citrullus lanatus L.). Theoretical and Applied Genetics. 131(4). 947–958. 88 indexed citations

18.

Gao, Lei, et al.. (2016). Linkage Analysis on Flesh Firmness of Watermelon [Citrullus lanatus(Thunb.) Mansf. ]by SSR Molecular Marker. Zhiwu yichuan ziyuan xuebao. 17(5). 870. 3 indexed citations

19.

Li, Tian, Qi Xu, Qifan Zeng, Zhexin Xiang, & Nan He. (2014). MorusDB: a resource for mulberry genomics and genome biology. Database. 2014(0). bau054–bau054. 37 indexed citations

20.

He, Nan, Song‐Lin Huang, Ronghua Zhu, et al.. (2003). Inhibitory effect of troleandomycin on the metabolism of omeprazole is CYP2C19 genotype-dependent. Xenobiotica. 33(2). 211–221. 19 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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