Lingya Yao

1.1k total citations · 1 hit paper
10 papers, 767 citations indexed

About

Lingya Yao is a scholar working on Plant Science, Molecular Biology and Epidemiology. According to data from OpenAlex, Lingya Yao has authored 10 papers receiving a total of 767 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Plant Science, 5 papers in Molecular Biology and 1 paper in Epidemiology. Recurrent topics in Lingya Yao's work include Plant Stress Responses and Tolerance (3 papers), Plant-Microbe Interactions and Immunity (3 papers) and Plant Molecular Biology Research (3 papers). Lingya Yao is often cited by papers focused on Plant Stress Responses and Tolerance (3 papers), Plant-Microbe Interactions and Immunity (3 papers) and Plant Molecular Biology Research (3 papers). Lingya Yao collaborates with scholars based in China, United States and Singapore. Lingya Yao's co-authors include Xiu‐Fang Xin, Ertao Wang, Li Zhang, Tao Chen, Reza Sohrabi, Jin Xu, Sheng Yang He, Kinya Nomura, Bradley C. Paasch and Xiaolin Wang and has published in prestigious journals such as Nature, The EMBO Journal and Gastroenterology.

In The Last Decade

Lingya Yao

8 papers receiving 765 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.

A plant genetic network for preventing dysbiosis in the phyllosphere

2020 378 citations Tao Chen, Kinya Nomura et al. Nature profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Lingya Yao China	8	565	249	112	59	40	10	767
Andreas Polley Germany	14	920 1.6×	276 1.1×	22 0.2×	37 0.6×	22 0.6×	16	1.2k
Ronghua Tang China	17	561 1.0×	321 1.3×	39 0.3×	55 0.9×	19 0.5×	50	993
Daniele Grossi Italy	14	237 0.4×	134 0.5×	46 0.4×	24 0.4×	25 0.6×	17	441
Yanyan Su China	17	718 1.3×	551 2.2×	28 0.3×	43 0.7×	25 0.6×	37	1.1k
Sofía Otero United Kingdom	17	716 1.3×	482 1.9×	29 0.3×	27 0.5×	18 0.5×	21	1.0k
Caroline Janitz Australia	6	224 0.4×	138 0.6×	50 0.4×	12 0.2×	74 1.9×	8	364
Dorota Konopka‐Postupolska Poland	16	458 0.8×	568 2.3×	60 0.5×	27 0.5×	17 0.4×	18	958
Qin Zeng China	17	495 0.9×	511 2.1×	60 0.5×	82 1.4×	17 0.4×	35	1.1k
Shimo Li China	14	374 0.7×	155 0.6×	168 1.5×	23 0.4×	7 0.2×	27	645

Countries citing papers authored by Lingya Yao

Since Specialization

Citations

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

Fields of papers citing papers by Lingya Yao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lingya Yao

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

All Works

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10 of 10 papers shown

1.

Yao, Lingya, Jong Hum Kim, Sha Li, et al.. (2025). Warm temperature suppresses plant systemic acquired resistance by intercepting N ‐hydroxypipecolic acid biosynthesis. The Plant Journal. 123(3). e70374–e70374.

2.

Yao, Lingya, et al.. (2023). Ethylene signaling modulates air humidity responses in plants. The Plant Journal. 117(3). 653–668. 7 indexed citations

3.

Yao, Lingya, et al.. (2023). High air humidity dampens salicylic acid pathway and NPR1 function to promote plant disease. The EMBO Journal. 42(21). e113499–e113499. 21 indexed citations

4.

Chen, Tao, Kinya Nomura, Xiaolin Wang, et al.. (2020). A plant genetic network for preventing dysbiosis in the phyllosphere. Nature. 580(7805). 653–657. 378 indexed citations breakdown →

5.

Yao, Lingya. (2020). Tu1240 SALIDROSIDE AMELIORATES EXPERIMENTAL COLITIS BY ATTENUATING ENDOPLASMIC RETICULUM STRESS AND PRESEVING THE INTESTINAL BARRIER FUNCTION. Gastroenterology. 158(6). S–1030.

6.

Yao, Lingya, Xuan Cheng, Wei Huang, et al.. (2018). The AWPM-19 Family Protein OsPM1 Mediates Abscisic Acid Influx and Drought Response in Rice. The Plant Cell. 30(6). 1258–1276. 91 indexed citations

7.

Gao, Jiong, Lingya Yao, Guodong Ren, et al.. (2016). The role of ANAC072 in the regulation of chlorophyll degradation during age- and dark-induced leaf senescence. Plant Cell Reports. 35(8). 1729–1741. 78 indexed citations

8.

Guo, Changkui, Lingya Yao, Chenjiang You, et al.. (2016). MID1 plays an important role in response to drought stress during reproductive development. The Plant Journal. 88(2). 280–293. 46 indexed citations

9.

Wang, Zhi, Xiaodan Zhang, Lingya Yao, et al.. (2011). High glucose-induced expression of inflammatory cytokines and reactive oxygen species in cultured astrocytes. Neuroscience. 202. 58–68. 131 indexed citations

10.

Yao, Lingya, et al.. (2003). Differential involvement of ceramide in TNFalpha-mediated activation of NF-kappaB in primary human keratinocytes and HaCaT keratinocytes.. PubMed. 49(3). 399–405. 15 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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