Yanhai Yin

17.5k total citations · 7 hit papers
89 papers, 11.3k citations indexed

About

Yanhai Yin is a scholar working on Plant Science, Molecular Biology and Epidemiology. According to data from OpenAlex, Yanhai Yin has authored 89 papers receiving a total of 11.3k indexed citations (citations by other indexed papers that have themselves been cited), including 74 papers in Plant Science, 61 papers in Molecular Biology and 6 papers in Epidemiology. Recurrent topics in Yanhai Yin's work include Plant Molecular Biology Research (66 papers), Plant Reproductive Biology (31 papers) and Plant Stress Responses and Tolerance (20 papers). Yanhai Yin is often cited by papers focused on Plant Molecular Biology Research (66 papers), Plant Reproductive Biology (31 papers) and Plant Stress Responses and Tolerance (20 papers). Yanhai Yin collaborates with scholars based in United States, China and Japan. Yanhai Yin's co-authors include Trevor M. Nolan, Joanne Chory, Hongqing Guo, Huaxun Ye, Tadao Asami, Shigeo Yoshida, Santiago Mora‐García, Lei Li, Zhouli Xie and Eugenia Russinova and has published in prestigious journals such as Science, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Yanhai Yin

88 papers receiving 11.2k citations

Hit Papers

BES1 Accumulates in the Nucleus in Response to Brassinost... 2002 2026 2010 2018 2002 2019 2005 2010 2019 250 500 750 1000
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. BES1 Accumulates in the Nucleus in Response to Brassinosteroids to Regulate Gene Expression and Promote Stem Elongation
    2002 1.0k citations Yanhai Yin, Shigeo Yoshida et al. Cell profile →
  2. Brassinosteroids: Multidimensional Regulators of Plant Growth, Development, and Stress Responses
    2019 704 citations Trevor M. Nolan, Eugenia Russinova et al. The Plant Cell profile →
  3. A New Class of Transcription Factors Mediates Brassinosteroid-Regulated Gene Expression in Arabidopsis
    2005 644 citations Yanhai Yin, Dionne Vafeados et al. Cell profile →
  4. A brassinosteroid transcriptional network revealed by genome‐wide identification of BESI target genes in Arabidopsis thaliana
    2010 547 citations Xiaofei Yu, Lei Li et al. The Plant Journal profile →
  5. AP2/ERF Transcription Factor Regulatory Networks in Hormone and Abiotic Stress Responses in Arabidopsis
    2019 509 citations Zhouli Xie, Trevor M. Nolan et al. profile →
  6. Arabidopsis WRKY46, WRKY54 and WRKY70 Transcription Factors Are Involved in Brassinosteroid-Regulated Plant Growth and Drought Response
    2017 326 citations Trevor M. Nolan, Huaxun Ye et al. The Plant Cell profile →
  7. Brassinosteroid gene regulatory networks at cellular resolution in the Arabidopsis root
    2023 86 citations Trevor M. Nolan, Ping Wang et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yanhai Yin United States 49 10.3k 6.7k 653 258 254 89 11.3k
Dao‐Xiu Zhou France 55 7.4k 0.7× 5.8k 0.9× 684 1.0× 331 1.3× 98 0.4× 134 9.2k
Minami Matsui Japan 63 7.8k 0.8× 7.0k 1.1× 511 0.8× 103 0.4× 263 1.0× 188 10.5k
Zhen Su China 41 7.1k 0.7× 5.2k 0.8× 1.0k 1.6× 111 0.4× 273 1.1× 118 9.6k
Shuhua Yang China 58 11.3k 1.1× 6.7k 1.0× 525 0.8× 92 0.4× 238 0.9× 110 12.8k
Xiaofeng Cao China 70 13.6k 1.3× 10.3k 1.5× 1.1k 1.7× 85 0.3× 167 0.7× 200 16.7k
Chung‐Mo Park South Korea 57 10.3k 1.0× 7.8k 1.2× 293 0.4× 90 0.3× 149 0.6× 145 11.6k
Masatomo Kobayashi Japan 51 12.9k 1.2× 7.7k 1.2× 910 1.4× 80 0.3× 317 1.2× 122 14.6k
Pil Joon Seo South Korea 51 8.0k 0.8× 6.1k 0.9× 246 0.4× 72 0.3× 129 0.5× 145 9.1k
Wolfgang Busch United States 45 7.4k 0.7× 5.1k 0.8× 463 0.7× 45 0.2× 158 0.6× 104 8.7k
Hui Guo China 27 4.3k 0.4× 4.0k 0.6× 1.0k 1.5× 74 0.3× 195 0.8× 80 7.0k

Countries citing papers authored by Yanhai Yin

Since Specialization
Citations

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

Fields of papers citing papers by Yanhai Yin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yanhai Yin

This figure shows the co-authorship network connecting the top 25 collaborators of Yanhai Yin. A scholar is included among the top collaborators of Yanhai Yin 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 Yanhai Yin. Yanhai Yin 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.
Wang, Hao, Yumou Qiu, Hongqing Guo, Yanhai Yin, & Peng Liu. (2024). Information-incorporated gene network construction with FDR control. Bioinformatics. 40(3). 1 indexed citations
2.
3.
Wang, Ping, Natalie M. Clark, Trevor M. Nolan, et al.. (2022). Integrated omics reveal novel functions and underlying mechanisms of the receptor kinase FERONIA inArabidopsis thaliana. The Plant Cell. 34(7). 2594–2614. 37 indexed citations
4.
Montes, Christian, Ping Wang, Trevor M. Nolan, et al.. (2022). Integration of multi‐omics data reveals interplay between brassinosteroid and Target of Rapamycin Complex signaling in Arabidopsis. New Phytologist. 236(3). 893–910. 27 indexed citations
5.
Xiang, Lirong, Trevor M. Nolan, Yin Bao, et al.. (2021). Robotic Assay for Drought (RoAD): an automated phenotyping system for brassinosteroid and drought responses. The Plant Journal. 107(6). 1837–1853. 13 indexed citations
6.
Wang, Ping, Trevor M. Nolan, Natalie M. Clark, et al.. (2021). The F-box E3 ubiquitin ligase BAF1 mediates the degradation of the brassinosteroid-activated transcription factor BES1 through selective autophagy in Arabidopsis. The Plant Cell. 33(11). 3532–3554. 40 indexed citations
7.
Clark, Natalie M., Trevor M. Nolan, Ping Wang, et al.. (2021). Integrated omics networks reveal the temporal signaling events of brassinosteroid response in Arabidopsis. Nature Communications. 12(1). 5858–5858. 56 indexed citations
8.
Liu, Haoran, Lihong Liu, Min Zhang, et al.. (2021). SlBES1 promotes tomato fruit softening through transcriptional inhibition of PMEU1. iScience. 24(8). 102926–102926. 55 indexed citations
9.
Liang, Tong, Chen Shi, Huijuan Tan, et al.. (2020). Brassinosteroid-Activated BRI1-EMS-SUPPRESSOR 1 Inhibits Flavonoid Biosynthesis and Coordinates Growth and UV-B Stress Responses in Plants. The Plant Cell. 32(10). 3224–3239. 106 indexed citations
10.
Xie, Zhouli, Trevor M. Nolan, Hao Jiang, et al.. (2019). The AP2/ERF Transcription Factor TINY Modulates Brassinosteroid-Regulated Plant Growth and Drought Responses in Arabidopsis. The Plant Cell. 31(8). 1788–1806. 181 indexed citations
11.
Jiang, Hao, Buyun Tang, Zhouli Xie, et al.. (2019). GSK3‐like kinase BIN2 phosphorylates RD26 to potentiate drought signaling in Arabidopsis. The Plant Journal. 100(5). 923–937. 103 indexed citations
12.
Bao, Yin, Dylan Shah, Darwin A. Campbell, et al.. (2019). Assessing plant performance in the Enviratron. Plant Methods. 15(1). 117–117. 13 indexed citations
13.
Ye, Huaxun, Sanzhen Liu, Buyun Tang, et al.. (2017). RD26 mediates crosstalk between drought and brassinosteroid signalling pathways. Nature Communications. 8(1). 14573–14573. 214 indexed citations
14.
Li, Ling, Wenguang Zheng, Yanbing Zhu, et al.. (2015). QQS orphan gene regulates carbon and nitrogen partitioning across species via NF-YC interactions. Proceedings of the National Academy of Sciences. 112(47). 14734–14739. 96 indexed citations
15.
Hao, Jingjie, Yanhai Yin, & Shui‐zhang Fei. (2013). Brassinosteroid signaling network: implications on yield and stress tolerance. Plant Cell Reports. 32(7). 1017–1030. 68 indexed citations
16.
Chen, Keting, Xiang Wang, Anania Fessehaie, et al.. (2013). Is expression of aquaporins (plasma membrane intrinsic protein 2s, PIP2s) associated with thermonasty (leaf-curling) in Rhododendron?. Journal of Plant Physiology. 170(16). 1447–1454. 5 indexed citations
17.
Guo, Hongqing, et al.. (2009). Three related receptor-like kinases are required for optimal cell elongation in Arabidopsis thaliana. Proceedings of the National Academy of Sciences. 106(18). 7648–7653. 289 indexed citations
18.
Tong, Hongning, Yun Jin, Wenbo Liu, et al.. (2009). DWARF AND LOW‐TILLERING, a new member of the GRAS family, plays positive roles in brassinosteroid signaling in rice. The Plant Journal. 58(5). 803–816. 310 indexed citations
19.
Yin, Yanhai, Dionne Vafeados, Yi Tao, et al.. (2005). A New Class of Transcription Factors Mediates Brassinosteroid-Regulated Gene Expression in Arabidopsis. Cell. 120(2). 249–259. 644 indexed citations breakdown →
20.
Russinova, Eugenia, J.W. Borst, Mark Kwaaitaal, et al.. (2004). Heterodimerization and Endocytosis of Arabidopsis Brassinosteroid Receptors BRI1 and AtSERK3 (BAK1). The Plant Cell. 16(12). 3216–3229. 370 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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