Yujun Hao

5.7k total citations · 1 hit paper
35 papers, 3.9k citations indexed

About

Yujun Hao is a scholar working on Molecular Biology, Plant Science and Oncology. According to data from OpenAlex, Yujun Hao has authored 35 papers receiving a total of 3.9k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 10 papers in Plant Science and 8 papers in Oncology. Recurrent topics in Yujun Hao's work include PI3K/AKT/mTOR signaling in cancer (8 papers), Plant Stress Responses and Tolerance (7 papers) and Ubiquitin and proteasome pathways (7 papers). Yujun Hao is often cited by papers focused on PI3K/AKT/mTOR signaling in cancer (8 papers), Plant Stress Responses and Tolerance (7 papers) and Ubiquitin and proteasome pathways (7 papers). Yujun Hao collaborates with scholars based in China, United States and Sweden. Yujun Hao's co-authors include Mara Roxana Rubinstein, Yiping W. Han, Xiaowei Wang, Wendy Liu, Guifang Cai, Jin‐Song Zhang, Shou‐Yi Chen, Aiguo Tian, Wei Wei and Wan‐Ke Zhang and has published in prestigious journals such as Nature Communications, PLoS ONE and Cancer Cell.

In The Last Decade

Yujun Hao

32 papers receiving 3.8k citations

Hit Papers

Fusobacterium nucleatum Promotes Colorectal Carcinogenesi... 2013 2026 2017 2021 2013 500 1000 1.5k
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. Fusobacterium nucleatum Promotes Colorectal Carcinogenesis by Modulating E-Cadherin/β-Catenin Signaling via its FadA Adhesin
    2013 1.7k citations Mara Roxana Rubinstein, Xiaowei Wang et al. Cell Host & Microbe profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yujun Hao China 18 2.6k 1.5k 677 328 295 35 3.9k
Jianfei Yang United States 22 1.2k 0.4× 461 0.3× 940 1.4× 215 0.7× 168 0.6× 39 4.7k
Qiaoyi Liang China 28 1.9k 0.7× 125 0.1× 891 1.3× 198 0.6× 397 1.3× 50 2.8k
Hua Sun China 26 1.0k 0.4× 519 0.3× 193 0.3× 85 0.3× 218 0.7× 81 2.0k
Julien Vignard France 22 1.4k 0.5× 382 0.2× 317 0.5× 144 0.4× 75 0.3× 40 1.9k
Jiao Wu China 21 908 0.3× 106 0.1× 304 0.4× 115 0.4× 173 0.6× 72 1.4k
Matti Kankainen Finland 28 1.4k 0.5× 143 0.1× 370 0.5× 108 0.3× 87 0.3× 85 2.4k
Emilio Camafeita Spain 37 1.3k 0.5× 375 0.2× 188 0.3× 172 0.5× 217 0.7× 102 3.2k
A. Slomiany United States 31 1.5k 0.6× 196 0.1× 167 0.2× 62 0.2× 1.2k 4.2× 207 3.3k
Kenji Yamato Japan 33 1.9k 0.7× 73 0.0× 763 1.1× 68 0.2× 163 0.6× 86 3.1k
Moon Kyoo Jang United States 28 3.1k 1.2× 215 0.1× 633 0.9× 187 0.6× 402 1.4× 65 4.5k

Countries citing papers authored by Yujun Hao

Since Specialization
Citations

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

Fields of papers citing papers by Yujun Hao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yujun Hao

This figure shows the co-authorship network connecting the top 25 collaborators of Yujun Hao. A scholar is included among the top collaborators of Yujun Hao 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 Yujun Hao. Yujun Hao 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.
Zhang, Jianjun, et al.. (2024). The Dynamic Prediction Method for Aircraft Cabin Temperatures Based on Flight Test Data. Aerospace. 11(9). 755–755.
2.
Zhang, Lin, Qianqian Qiu, Yanhua Zhang, et al.. (2024). Hypoxia-induced cysteine metabolism reprogramming is crucial for the tumorigenesis of colorectal cancer. Redox Biology. 75. 103286–103286. 14 indexed citations
3.
4.
5.
Wang, Ting, Longci Sun, Yingchao Zhang, et al.. (2023). Phosphorylation at tyrosine 317 and 508 are crucial for PIK3CA/p110α to promote CRC tumorigenesis. Cell & Bioscience. 13(1). 164–164. 2 indexed citations
6.
He, Baoyu & Yujun Hao. (2022). Targeting p85β nuclear translocation for the tumors with PIK3CA helical domain mutations. Genes & Diseases. 9(6). 1391–1393. 1 indexed citations
7.
Hao, Yujun, Baoyu He, Liping Wu, et al.. (2022). Nuclear translocation of p85β promotes tumorigenesis of PIK3CA helical domain mutant cancer. Nature Communications. 13(1). 1974–1974. 24 indexed citations
8.
Wang, Ting, Haojie Jin, Jingying Hu, et al.. (2020). COL4A1 promotes the growth and metastasis of hepatocellular carcinoma cells by activating FAK-Src signaling. Journal of Experimental & Clinical Cancer Research. 39(1). 148–148. 93 indexed citations
9.
Zhao, Yiqing, Xuan Zhao, Ying Feng, et al.. (2019). Colorectal cancers utilize glutamine as an anaplerotic substrate of the TCA cycle in vivo. Scientific Reports. 9(1). 19180–19180. 41 indexed citations
10.
Hu, Xiao, et al.. (2017). Novel all-hydrocarbon stapled p110α[E545K] peptides as blockers of the oncogenic p110α[E545K]-IRS1 interaction. Bioorganic & Medicinal Chemistry Letters. 27(24). 5446–5449. 7 indexed citations
11.
Rubinstein, Mara Roxana, Xiaowei Wang, Wendy Liu, et al.. (2013). Fusobacterium nucleatum Promotes Colorectal Carcinogenesis by Modulating E-Cadherin/β-Catenin Signaling via its FadA Adhesin. Cell Host & Microbe. 14(2). 195–206. 1742 indexed citations breakdown →
12.
Wei, Wei, Aiguo Tian, Yujun Hao, et al.. (2012). Wheat WRKY genes TaWRKY2 and TaWRKY19 regulate abiotic stress tolerance in transgenic Arabidopsis plants. Plant Cell & Environment. 35(6). 1156–1170. 372 indexed citations
13.
Hao, Yujun, Wei Wei, Qingxin Song, et al.. (2011). Soybean NAC transcription factors promote abiotic stress tolerance and lateral root formation in transgenic plants. The Plant Journal. 68(2). 302–313. 419 indexed citations
14.
Hao, Yujun, Qingxin Song, Hao‐Wei Chen, et al.. (2010). Plant NAC-type transcription factor proteins contain a NARD domain for repression of transcriptional activation. Planta. 232(5). 1033–1043. 123 indexed citations
15.
Chen, Tao, Jun Liu, Gang Lei, et al.. (2009). Effects of Tobacco Ethylene Receptor Mutations on Receptor Kinase Activity, Plant Growth and Stress Responses. Plant and Cell Physiology. 50(9). 1636–1650. 51 indexed citations
16.
Wei, Wei, Jian Huang, Yujun Hao, et al.. (2009). Soybean GmPHD-Type Transcription Regulators Improve Stress Tolerance in Transgenic Arabidopsis Plants. PLoS ONE. 4(9). e7209–e7209. 102 indexed citations
17.
18.
Wang, Huiwen, Bo Zhang, Yujun Hao, et al.. (2007). The soybean Dof‐type transcription factor genes, GmDof4 and GmDof11, enhance lipid content in the seeds of transgenic Arabidopsis plants. The Plant Journal. 52(4). 716–729. 207 indexed citations
19.
Zhou, Hua‐Lin, Wan‐Hong Cao, Yangrong Cao, et al.. (2006). Roles of ethylene receptor NTHK1 domains in plant growth, stress response and protein phosphorylation. FEBS Letters. 580(5). 1239–1250. 40 indexed citations
20.
Wang, Yujun, Yujun Hao, Zhigang Zhang, et al.. (2005). Isolation of trehalose-6-phosphate phosphatase gene from tobacco and its functional analysis in yeast cells. Journal of Plant Physiology. 162(2). 215–223. 29 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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