Na An

6.6k total citations
74 papers, 1.8k citations indexed

About

Na An is a scholar working on Plant Science, Molecular Biology and Genetics. According to data from OpenAlex, Na An has authored 74 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 61 papers in Plant Science, 53 papers in Molecular Biology and 4 papers in Genetics. Recurrent topics in Na An's work include Plant Molecular Biology Research (38 papers), Plant Reproductive Biology (37 papers) and Plant Physiology and Cultivation Studies (25 papers). Na An is often cited by papers focused on Plant Molecular Biology Research (38 papers), Plant Reproductive Biology (37 papers) and Plant Physiology and Cultivation Studies (25 papers). Na An collaborates with scholars based in China, Nepal and United States. Na An's co-authors include Mingyu Han, Dong Zhang, Libo Xing, Caiping Zhao, Juanjuan Ma, Youmei Li, Qi Zhou, Guojie Zhang, Jilin Zhang and Erich D. Jarvis and has published in prestigious journals such as Science, Cell and SHILAP Revista de lepidopterología.

In The Last Decade

Na An

72 papers receiving 1.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Na An China 25 1.3k 1.1k 292 132 85 74 1.8k
Donghui Fu China 28 1.6k 1.2× 1.1k 1.0× 362 1.2× 81 0.6× 56 0.7× 54 2.0k
Long Yang China 26 1.1k 0.8× 907 0.9× 165 0.6× 89 0.7× 118 1.4× 128 1.9k
Alejandro Ferrando Spain 22 1.5k 1.1× 1.4k 1.4× 213 0.7× 48 0.4× 104 1.2× 48 2.2k
Shahjahan Ali United States 21 977 0.7× 1.0k 1.0× 165 0.6× 109 0.8× 168 2.0× 44 1.9k
Guiling Sun China 27 1.5k 1.1× 1.2k 1.2× 121 0.4× 287 2.2× 125 1.5× 55 2.3k
Gloria Burow United States 32 1.8k 1.3× 672 0.6× 514 1.8× 160 1.2× 105 1.2× 62 2.4k
Luciano Carlos da Maia Brazil 22 1.6k 1.2× 598 0.6× 255 0.9× 57 0.4× 50 0.6× 138 1.9k
Haidong Yan China 23 870 0.6× 708 0.7× 220 0.8× 129 1.0× 66 0.8× 65 1.4k

Countries citing papers authored by Na An

Since Specialization
Citations

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

Fields of papers citing papers by Na An

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Na An

This figure shows the co-authorship network connecting the top 25 collaborators of Na An. A scholar is included among the top collaborators of Na An 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 Na An. Na An 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, Ruihan, Wenqiang Li, Weiwei Yang, et al.. (2025). Transcriptomic and primary metabolic profiles reveal the mechanism of development and maturation of fuji apple grafted onto different dwarfed intermediate rootstocks. Scientia Horticulturae. 343. 114060–114060. 2 indexed citations
2.
Tang, Ting, Youmei Li, Kamran Shah, et al.. (2024). FLOWERING LOCUS T1 and TERMINAL FLOWER1 regulatory networks mediate flowering initiation in apple. PLANT PHYSIOLOGY. 195(1). 580–597. 11 indexed citations
3.
4.
Lu, Xian, Ruihan Liu, Muhammad Mobeen Tahir, et al.. (2024). In vitro slow-growth conservation, acclimatization, and genetic stability of virus-free apple plants. SHILAP Revista de lepidopterología. 2(1). 2 indexed citations
5.
Zhang, Xiaoshuang, Mingyuan Li, Huiwen Zhang, et al.. (2023). MdNup62 involved in salt and osmotic stress tolerance in apple. Scientific Reports. 13(1). 20198–20198. 2 indexed citations
6.
Huiting, Erin, Xueli Cao, Jie Ren, et al.. (2023). Bacteriophages inhibit and evade cGAS-like immune function in bacteria. Cell. 186(4). 864–876.e21. 74 indexed citations
7.
Mao, Jiangping, Chundong Niu, Fan Li, et al.. (2022). Cytokinin-responsive MdTCP17 interacts with MdWOX11 to repress adventitious root primordium formation in apple rootstocks. The Plant Cell. 35(4). 1202–1221. 33 indexed citations
8.
Shah, Kamran, Na An, Lijuan Chen, et al.. (2021). Regulation of Flowering Time by Improving Leaf Health Markers and Expansion by Salicylic Acid Treatment: A New Approach to Induce Flowering in Malus domestica. Frontiers in Plant Science. 12. 655974–655974. 20 indexed citations
9.
Shalmani, Abdullah, Izhar Muhammad, Dong Zhang, et al.. (2021). The TAZ domain-containing proteins play important role in the heavy metals stress biology in plants. Environmental Research. 197. 111030–111030. 18 indexed citations
10.
Song, Chunhui, Dong Zhang, Liwei Zheng, et al.. (2020). Genome-wide identification and expression profiling of the YUCCA gene family in Malus domestica. Scientific Reports. 10(1). 10866–10866. 18 indexed citations
11.
An, Na, et al.. (2020). Gene expression profiling of papaya (Carica papaya L.) immune response induced by CTS-N after inoculating PLDMV. Gene. 755. 144845–144845. 8 indexed citations
12.
Tan, Ming, Guofang Li, Xilong Chen, et al.. (2019). Role of Cytokinin, Strigolactone, and Auxin Export on Outgrowth of Axillary Buds in Apple. Frontiers in Plant Science. 10. 616–616. 46 indexed citations
13.
Zheng, Liwei, Cai Gao, Lizhi Zhang, et al.. (2019). Effects of Brassinosteroid Associated with Auxin and Gibberellin on Apple Tree Growth and Gene Expression Patterns. Horticultural Plant Journal. 5(3). 93–108. 28 indexed citations
14.
Zheng, Liwei, Juanjuan Ma, Jiangping Mao, et al.. (2018). Genome-wide identification of SERK genes in apple and analyses of their role in stress responses and growth. BMC Genomics. 19(1). 962–962. 16 indexed citations
15.
Fan, Sheng, Jue Wang, Chao Lei, et al.. (2018). Identification and characterization of histone modification gene family reveal their critical responses to flower induction in apple. BMC Plant Biology. 18(1). 173–173. 24 indexed citations
16.
Li, Guofang, Juanjuan Ma, Ming Tan, et al.. (2016). Transcriptome analysis reveals the effects of sugar metabolism and auxin and cytokinin signaling pathways on root growth and development of grafted apple. BMC Genomics. 17(1). 150–150. 62 indexed citations
17.
Xing, Libo, Dong Zhang, Youmei Li, et al.. (2015). Transcription Profiles Reveal Sugar and Hormone Signaling Pathways Mediating Flower Induction in Apple (Malus domesticaBorkh.). Plant and Cell Physiology. 56(10). 2052–2068. 125 indexed citations
18.
Zhou, Qi, Jilin Zhang, Doris Bachtrog, et al.. (2014). Complex evolutionary trajectories of sex chromosomes across bird taxa. Science. 346(6215). 1246338–1246338. 221 indexed citations
19.
Xing, Libo, Dong Zhang, Youmei Li, et al.. (2014). Genome-wide identification of vegetative phase transition-associated microRNAs and target predictions using degradome sequencing in Malus hupehensis. BMC Genomics. 15(1). 1125–1125. 55 indexed citations
20.
Xu, Xiaoling, Wei Ma, Yubo Zhu, et al.. (2012). The Microtubule-Associated Protein ASPM Regulates Spindle Assembly and Meiotic Progression in Mouse Oocytes. PLoS ONE. 7(11). e49303–e49303. 27 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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