Nan Yao

4.9k total citations · 2 hit papers
62 papers, 3.4k citations indexed

About

Nan Yao is a scholar working on Plant Science, Molecular Biology and Genetics. According to data from OpenAlex, Nan Yao has authored 62 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Plant Science, 38 papers in Molecular Biology and 6 papers in Genetics. Recurrent topics in Nan Yao's work include Plant-Microbe Interactions and Immunity (15 papers), Sphingolipid Metabolism and Signaling (13 papers) and Photosynthetic Processes and Mechanisms (11 papers). Nan Yao is often cited by papers focused on Plant-Microbe Interactions and Immunity (15 papers), Sphingolipid Metabolism and Signaling (13 papers) and Photosynthetic Processes and Mechanisms (11 papers). Nan Yao collaborates with scholars based in China, United States and Japan. Nan Yao's co-authors include Jean T. Greenberg, Hua Lu, James Marvin, Bartholomew J. Eisfelder, Hua Liang, Jong Tae Song, Song Luo, S. Mayama, Yukio Tosa and Pyoyun Park and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and Nature Genetics.

In The Last Decade

Nan Yao

60 papers receiving 3.3k citations

Hit Papers

align trajectories

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.

The role and regulation of programmed cell death in plant-pathogen interactions

2004 560 citations Jean T. Greenberg, Nan Yao Cellular Microbiology profile →
A detrimental mitochondrial-nuclear interaction causes cytoplasmic male sterility in rice

2013 411 citations Nan Yao et al. profile →

Peers

Nan Yao

PS

MB

CB

GENET

MC

Robert M. Larkin China

Woo Sik Chung South Korea

Gul Shad Ali United States

Oliver Batistič Germany

Zhibing Lai United States

Marc Jakoby Germany

Florence Vignols France

John L. Celenza United States

Brigitte van de Cotte Belgium

Élisabeth Jamet France

Robert M. Larkin China

Nan Yao

2.5k ×0.9

PS

2.9k ×1.5

MB

234 ×0.7

CB

143 ×0.8

GENET

82 ×0.6

MC

Citations per year, relative to Nan Yao Nan Yao (= 1×) peers Robert M. Larkin

Countries citing papers authored by Nan Yao

Since Specialization

Citations

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

Fields of papers citing papers by Nan Yao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nan Yao

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Yao, Nan, et al.. (2025). Fabrication and modification of nanofiltration membranes for efficient dye/salt separation towards sustainable water and resource recovery: A review. Environmental Progress & Sustainable Energy. 45(2).

2.

Wang, Wei, Xianyu Zhang, Yong Zhang, et al.. (2025). Single‐Cell and Spatial Transcriptomics Reveals a Stereoscopic Response of Rice Leaf Cells to Magnaporthe oryzae Infection. Advanced Science. 12(19). e2416846–e2416846. 2 indexed citations

3.

Han, Ling, Yingqiao Wang, Meishan Zhang, et al.. (2025). The current state and implications of pre-operative fasting time in children: a systematic review and meta-analysis. Pediatric Surgery International. 41(1). 108–108.

4.

Dai, Guangyi, et al.. (2024). Imaging Plant Lipids with Fluorescent Reporters. Plants. 14(1). 15–15. 1 indexed citations

5.

Chen, Yili, Sunil Kumar Sahu, Ningjing Liu, et al.. (2024). Exploring the plant lipidome: techniques, challenges, and prospects. PubMed. 2(1). 11–11. 13 indexed citations

6.

Li, Zhixing, Jinfang Tan, Nan Yao, & Ruohan Xie. (2024). From trade-off to synergy: how nutrient status modulates plant resistance to herbivorous insects?. PubMed. 2(4). 37–37. 12 indexed citations

7.

Yao, Nan, et al.. (2024). Chloride salt enhances plant resistance to biotic stresses. Frontiers in Plant Science. 15. 1385164–1385164. 4 indexed citations

8.

Li, Jian, Ben‐Qiang Gong, Ruihua Wang, et al.. (2023). Orosomucoid proteins limit endoplasmic reticulum stress in plants. New Phytologist. 240(3). 1134–1148. 9 indexed citations

9.

Yin, Jian, Lingyan Wang, Ruihua Wang, et al.. (2023). Aberrant accumulation of ceramides in mitochondria triggers cell death by inducing autophagy in Arabidopsis. Journal of Experimental Botany. 75(5). 1314–1330. 7 indexed citations

10.

Hong, Jun, Suzhen Huang, Hanqi Wu, et al.. (2023). Effects of eutrophic water with ammonium chloride, urea, potassium dihydrogen phosphate and sodium-β-glycerophosphate on Myriophyllum verticillatum and epiphytic bacteria. The Science of The Total Environment. 891. 164507–164507. 5 indexed citations

11.

Zheng, Ping, Jianxin Wu, Sunil Kumar Sahu, et al.. (2018). Loss of alkaline ceramidase inhibits autophagy in Arabidopsis and plays an important role during environmental stress response. Plant Cell & Environment. 41(4). 837–849. 36 indexed citations

12.

Zhang, Chong, et al.. (2016). A Role of the FUZZY ONIONS LIKE Gene in Regulating Cell Death and Defense in Arabidopsis. Scientific Reports. 6(1). 37797–37797. 5 indexed citations

13.

Xue, Minfeng, Jun Yang, Zhigang Li, et al.. (2012). Comparative Analysis of the Genomes of Two Field Isolates of the Rice Blast Fungus Magnaporthe oryzae. PLoS Genetics. 8(8). e1002869–e1002869. 138 indexed citations

14.

Bi, Fangcheng, Quanfang Zhang, Zhe Liu, et al.. (2011). A Conserved Cysteine Motif Is Critical for Rice Ceramide Kinase Activity and Function. PLoS ONE. 6(3). e18079–e18079. 17 indexed citations

15.

Wu, Xiaogang, et al.. (2010). Effect of the hfq gene on 2,4-diacetylphloroglucinol production and the PcoI/PcoR quorum-sensing system in Pseudomonas fluorescens 2P24. FEMS Microbiology Letters. 309(1). no–no. 33 indexed citations

16.

Yao, Nan, et al.. (2010). Identification of individual rice resistance to blast (Magnaporthe grisea) using Pi-1 gene contiguous SSR-markers.. 8(5). 861–866. 2 indexed citations

17.

Yao, Nan. (2009). Influences of Natural High-temperature Stress on Pollen Fertility and Main Agronomic Traits of Hybrid Rice. Guangdong nongye kexue. 2 indexed citations

18.

Yao, Nan, et al.. (2008). [Determination of paeoniflorin in rat plasma by HPLC-MS/MS and its pharmacokinetics].. PubMed. 33(20). 2369–73. 7 indexed citations

19.

Jeleńska, Joanna, Nan Yao, Boris A. Vinatzer, et al.. (2007). A J Domain Virulence Effector of Pseudomonas syringae Remodels Host Chloroplasts and Suppresses Defenses. Current Biology. 17(6). 499–508. 228 indexed citations

20.

Greenberg, Jean T. & Nan Yao. (2004). The role and regulation of programmed cell death in plant-pathogen interactions. Cellular Microbiology. 6(3). 201–211. 560 indexed citations breakdown →

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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