Na Sai

828 total citations · 1 hit paper
28 papers, 594 citations indexed

About

Na Sai is a scholar working on Molecular Biology, Plant Science and Biomedical Engineering. According to data from OpenAlex, Na Sai has authored 28 papers receiving a total of 594 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 9 papers in Plant Science and 9 papers in Biomedical Engineering. Recurrent topics in Na Sai's work include Biosensors and Analytical Detection (6 papers), Photonic Crystals and Applications (5 papers) and Electrochemical sensors and biosensors (4 papers). Na Sai is often cited by papers focused on Biosensors and Analytical Detection (6 papers), Photonic Crystals and Applications (5 papers) and Electrochemical sensors and biosensors (4 papers). Na Sai collaborates with scholars based in China, Australia and India. Na Sai's co-authors include Matthew Gilliham, Bo Xu, Zhixian Gao, Yuntang Wu, Zhong Sun, Xueying Feng, Everard J. Edwards, Larissa Chirkova, Johannes Herrmann and Yu Long and has published in prestigious journals such as Nature Communications, PLANT PHYSIOLOGY and Analytical Biochemistry.

In The Last Decade

Na Sai

25 papers receiving 589 citations

Hit Papers

GABA signalling modulates stomatal opening to enhance pla... 2021 2026 2022 2024 2021 50 100 150
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. GABA signalling modulates stomatal opening to enhance plant water use efficiency and drought resilience
    2021 158 citations Bo Xu, Yu Long et al. Nature Communications profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Na Sai China 13 268 202 132 79 72 28 594
Andrea Boschetti Italy 13 312 1.2× 147 0.7× 62 0.5× 76 1.0× 74 1.0× 14 585
Chunlei Yang China 14 93 0.3× 141 0.7× 186 1.4× 27 0.3× 74 1.0× 35 518
Youyou Yang China 17 127 0.5× 221 1.1× 105 0.8× 23 0.3× 12 0.2× 37 635
Adela Halmágyi Romania 15 470 1.8× 545 2.7× 40 0.3× 13 0.2× 48 0.7× 51 774
Sevgi Türker‐Kaya Türkiye 6 119 0.4× 55 0.3× 61 0.5× 23 0.3× 27 0.4× 9 363
Mengyun Xu China 14 210 0.8× 293 1.5× 117 0.9× 13 0.2× 135 1.9× 40 626
Federica Pozzi United States 19 149 0.6× 181 0.9× 94 0.7× 22 0.3× 9 0.1× 53 1.2k
Min Qiao China 17 573 2.1× 242 1.2× 150 1.1× 29 0.4× 72 1.0× 74 887
Philip R. Young United States 18 471 1.8× 390 1.9× 72 0.5× 34 0.4× 64 0.9× 56 1.1k
Alexandra J. Dickinson United States 13 206 0.8× 275 1.4× 216 1.6× 48 0.6× 56 0.8× 17 722

Countries citing papers authored by Na Sai

Since Specialization
Citations

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

Fields of papers citing papers by Na Sai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Na Sai

This figure shows the co-authorship network connecting the top 25 collaborators of Na Sai. A scholar is included among the top collaborators of Na Sai 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 Sai. Na Sai 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.
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Sai, Na, Alexander Johnson, Enzo Lombi, et al.. (2025). Arbuscular mycorrhizal fungi increase aleurone layer zinc concentration but reduce overall zinc bioavailability in rice grain. Plants People Planet. 7(5). 1299–1310. 3 indexed citations
3.
Sai, Na, et al.. (2025). Revitalizing Ayurveda with Deep Learning: Automated Identification of Medicinal plants using CNN. INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT. 9(4). 1–9.
4.
Zhang, Nan, et al.. (2024). Reflection-fluorescence ratios probe for the stable detection of glucose. Journal of Photochemistry and Photobiology A Chemistry. 450. 115455–115455. 4 indexed citations
5.
Feng, Xueying, Na Sai, Changyu Yi, et al.. (2024). GABA does not regulate stomatal CO2 signalling in Arabidopsis. Journal of Experimental Botany. 75(21). 6856–6871. 3 indexed citations
6.
Tan, Liping, Na Sai, Y Mao, et al.. (2024). FoxO1 promotes ovarian cancer by increasing transcription and METTL14‐mediated m6A modification of SMC4. Cancer Science. 115(4). 1224–1240. 8 indexed citations
7.
Li, Dongmei, Nan Zhang, Huan Xia, et al.. (2024). Chameleon-inspired molecular imprinted polymer with bicolored states for visual and stable detection of diethylstilbestrol in water and food samples. Food Chemistry. 469. 142531–142531. 2 indexed citations
8.
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Sai, Na, Hao Chen, Nathan S. Watson‐Haigh, et al.. (2023). StomaAI : an efficient and user‐friendly tool for measurement of stomatal pores and density using deep computer vision. New Phytologist. 238(2). 904–915. 13 indexed citations
10.
Sun, Wenjing, et al.. (2022). A homogeneous enzyme-free ratiometric immunoassay for the determination of C-peptide. Analytical Biochemistry. 658. 114899–114899. 2 indexed citations
11.
Xu, Bo, Yu Long, Xueying Feng, et al.. (2021). GABA signalling modulates stomatal opening to enhance plant water use efficiency and drought resilience. Nature Communications. 12(1). 1952–1952. 158 indexed citations breakdown →
12.
Sai, Na, Stephen Pederson, Alexander A. Stewart, et al.. (2021). Tissue and regional expression patterns of dicistronic tRNA–mRNA transcripts in grapevine (Vitis vinifera) and their evolutionary co-appearance with vasculature in land plants. Horticulture Research. 8(1). 137–137. 3 indexed citations
13.
Wang, Xiaohan, Jinhui Zhang, Na Sai, et al.. (2019). Vascular regeneration in adult mouse cochlea stimulated by VEGF-A165 and driven by NG2-derived cells ex vivo. Hearing Research. 377. 179–188. 14 indexed citations
14.
Sai, Na, Zhong Sun, Yuntang Wu, & Guowei Huang. (2018). Antibody recognition by a novel microgel photonic crystal. Bioorganic Chemistry. 84. 389–393. 7 indexed citations
15.
Sai, Na, Timothy R. Cavagnaro, Matthew Gilliham, et al.. (2017). Global DNA Methylation Patterns Can Play a Role in Defining Terroir in Grapevine (Vitis vinifera cv. Shiraz). Frontiers in Plant Science. 8. 1860–1860. 45 indexed citations
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Sai, Na, Yuntang Wu, Zhong Sun, Guowei Huang, & Zhixian Gao. (2015). Molecular imprinted opal closest-packing photonic crystals for the detection of trace 17β-estradiol in aqueous solution. Talanta. 144. 157–162. 27 indexed citations
19.
Sai, Na, Baoan Ning, Guowei Huang, et al.. (2013). An imprinted crystalline colloidal array chemical-sensing material for detection of trace diethylstilbestrol. The Analyst. 138(9). 2720–2720. 21 indexed citations
20.
Sai, Na, Yiping Chen, Nan Liu, et al.. (2010). A sensitive immunoassay based on direct hapten coated format and biotin–streptavidin system for the detection of chloramphenicol. Talanta. 82(4). 1113–1121. 64 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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