Yingnan Hou

1.8k total citations · 1 hit paper
22 papers, 1.2k citations indexed

About

Yingnan Hou is a scholar working on Plant Science, Molecular Biology and Cell Biology. According to data from OpenAlex, Yingnan Hou has authored 22 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Plant Science, 10 papers in Molecular Biology and 2 papers in Cell Biology. Recurrent topics in Yingnan Hou's work include Plant Molecular Biology Research (10 papers), Plant-Microbe Interactions and Immunity (7 papers) and Plant Virus Research Studies (4 papers). Yingnan Hou is often cited by papers focused on Plant Molecular Biology Research (10 papers), Plant-Microbe Interactions and Immunity (7 papers) and Plant Virus Research Studies (4 papers). Yingnan Hou collaborates with scholars based in China, United States and United Kingdom. Yingnan Hou's co-authors include Wenbo Ma, Yi Zhai, Yongli Qiao, Jinxia Shi, Li‐Jia Qu, Hongya Gu, Feng Li, Jixian Zhai, Xuemei Chen and Weixiang Bian and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Yingnan Hou

22 papers receiving 1.2k citations

Hit Papers

AXL is a candidate receptor for SARS-CoV-2 that promotes ... 2021 2026 2022 2024 2021 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yingnan Hou China 16 722 578 266 108 78 22 1.2k
Ilya M. Terenin Russia 26 196 0.3× 1.7k 3.0× 126 0.5× 105 1.0× 99 1.3× 54 2.0k
Etsuko Suzaki Japan 15 178 0.2× 338 0.6× 85 0.3× 155 1.4× 114 1.5× 35 704
Daniela Ribeiro Portugal 19 146 0.2× 562 1.0× 64 0.2× 204 1.9× 53 0.7× 34 895
Yunkun Dang China 14 257 0.4× 1.1k 1.8× 49 0.2× 55 0.5× 47 0.6× 25 1.3k
Xiaojuan Chi China 18 206 0.3× 532 0.9× 187 0.7× 424 3.9× 36 0.5× 33 1.2k
Lidia Vasiljeva United Kingdom 19 172 0.2× 2.0k 3.4× 348 1.3× 117 1.1× 40 0.5× 30 2.4k
Ekaterina G. Viktorova United States 15 187 0.3× 542 0.9× 256 1.0× 72 0.7× 135 1.7× 30 923
Donald Sharon United States 13 185 0.3× 716 1.2× 33 0.1× 79 0.7× 19 0.2× 15 1.0k
Anastassia K. Pogoutse Canada 7 199 0.3× 417 0.7× 54 0.2× 48 0.4× 61 0.8× 7 710
Marc D. Panas Sweden 12 77 0.1× 1.0k 1.8× 263 1.0× 187 1.7× 189 2.4× 16 1.5k

Countries citing papers authored by Yingnan Hou

Since Specialization
Citations

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

Fields of papers citing papers by Yingnan Hou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yingnan Hou

This figure shows the co-authorship network connecting the top 25 collaborators of Yingnan Hou. A scholar is included among the top collaborators of Yingnan Hou 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 Yingnan Hou. Yingnan Hou 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.
Xu, Pengfei, Liyuan Wang, Shuai Liu, et al.. (2024). scGO: interpretable deep neural network for cell status annotation and disease diagnosis. Briefings in Bioinformatics. 26(1). 1 indexed citations
2.
He, Wenrong, Ling Zhang, Min Cao, et al.. (2024). Identification of mebendazole as an ethylene signaling activator reveals a role of ethylene signaling in the regulation of lateral root angles. Cell Reports. 43(2). 113763–113763. 5 indexed citations
3.
Li, Hui, Jinlong Wang, Bozeng Tang, et al.. (2023). Pathogen protein modularity enables elaborate mimicry of a host phosphatase. Cell. 186(15). 3196–3207.e17. 26 indexed citations
4.
Hou, Yingnan, et al.. (2023). How a single mutation alters the protein structure: a simulation investigation on protein tyrosine phosphatase SHP2. RSC Advances. 13(7). 4263–4274. 7 indexed citations
5.
He, Xin, Tianjiao Li, Yi Qu, et al.. (2022). PCGEM1 promotes proliferation, migration and invasion in prostate cancer by sponging miR-506 to upregulate TRIAP1. BMC Urology. 22(1). 14–14. 17 indexed citations
6.
Le, Brandon H., et al.. (2022). The master role of siRNAs in plant immunity. Molecular Plant Pathology. 23(10). 1565–1574. 34 indexed citations
7.
Wang, Shuai, Zongyang Qiu, Yingnan Hou, et al.. (2021). AXL is a candidate receptor for SARS-CoV-2 that promotes infection of pulmonary and bronchial epithelial cells. Cell Research. 31(2). 126–140. 334 indexed citations breakdown →
8.
Fu, Niankai, et al.. (2021). A time of transition: Stories from starting a new research program in 2020. iScience. 24(4). 102308–102308. 1 indexed citations
9.
Bian, Weixiang, Mengfan Tang, Hua Jiang, et al.. (2021). Low-density-lipoprotein-receptor-related protein 1 mediates Notch pathway activation. Developmental Cell. 56(20). 2902–2919.e8. 26 indexed citations
10.
Hou, Yingnan, et al.. (2019). Exchange of Small Regulatory RNAs between Plants and Their Pests. PLANT PHYSIOLOGY. 182(1). 51–62. 50 indexed citations
11.
Hou, Yingnan & Wenbo Ma. (2019). Natural Host-Induced Gene Silencing Offers New Opportunities to Engineer Disease Resistance. Trends in Microbiology. 28(2). 109–117. 29 indexed citations
12.
Cai, Qiang, C. Liang, Suikang Wang, et al.. (2018). The disease resistance protein SNC1 represses the biogenesis of microRNAs and phased siRNAs. Nature Communications. 9(1). 5080–5080. 61 indexed citations
13.
Hou, Yingnan, Yi Zhai, Feng Li, et al.. (2018). A Phytophthora Effector Suppresses Trans-Kingdom RNAi to Promote Disease Susceptibility. Cell Host & Microbe. 25(1). 153–165.e5. 185 indexed citations
14.
Hou, Yingnan, Bo Gao, Guojun Li, & Zhengchang Su. (2018). MaxMIF: A New Method for Identifying Cancer Driver Genes through Effective Data Integration. Advanced Science. 5(9). 1800640–1800640. 32 indexed citations
15.
Hou, Yingnan & Wenbo Ma. (2017). Small RNA and mRNA Profiling of Arabidopsis in Response to Phytophthora Infection and PAMP Treatment. Methods in molecular biology. 1578. 273–283. 1 indexed citations
16.
Hou, Yingnan, Philipp Cyprys, Ying Zhang, et al.. (2016). Maternal ENODLs Are Required for Pollen Tube Reception in Arabidopsis. Current Biology. 26(17). 2343–2350. 64 indexed citations
17.
Qiao, Yongli, Jinxia Shi, Yi Zhai, Yingnan Hou, & Wenbo Ma. (2015). Phytophthora effector targets a novel component of small RNA pathway in plants to promote infection. Proceedings of the National Academy of Sciences. 112(18). 5850–5855. 156 indexed citations
18.
Liu, Jingjing, Sheng Zhong, Lihong Hao, et al.. (2013). Membrane-Bound RLCKs LIP1 and LIP2 Are Essential Male Factors Controlling Male-Female Attraction in Arabidopsis. Current Biology. 23(11). 993–998. 105 indexed citations
19.
Wang, Yanbing, Yingnan Hou, Hongya Gu, et al.. (2012). The Arabidopsis Anaphase‐Promoting Complex/Cyclosome Subunit 1 is Critical for Both Female Gametogenesis and EmbryogenesisF. Journal of Integrative Plant Biology. 55(1). 64–74. 30 indexed citations
20.
Wang, Yanbing, Yingnan Hou, Hongya Gu, et al.. (2011). The Arabidopsis APC4 subunit of the anaphase‐promoting complex/cyclosome (APC/C) is critical for both female gametogenesis and embryogenesis. The Plant Journal. 69(2). 227–240. 38 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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