Lu Ao

1.3k total citations
56 papers, 878 citations indexed

About

Lu Ao is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Lu Ao has authored 56 papers receiving a total of 878 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Molecular Biology, 16 papers in Cancer Research and 15 papers in Oncology. Recurrent topics in Lu Ao's work include Gene expression and cancer classification (10 papers), Colorectal Cancer Treatments and Studies (9 papers) and Genetic factors in colorectal cancer (8 papers). Lu Ao is often cited by papers focused on Gene expression and cancer classification (10 papers), Colorectal Cancer Treatments and Studies (9 papers) and Genetic factors in colorectal cancer (8 papers). Lu Ao collaborates with scholars based in China, United States and Qatar. Lu Ao's co-authors include Zheng Guo, Qingzhou Guan, You Guo, Haidan Yan, Wei Sun, Tao Zhang, Bo Meng, Xuechen Yang, Shuixiu Li and Hua Chai and has published in prestigious journals such as Renewable and Sustainable Energy Reviews, PLoS ONE and Molecular and Cellular Biology.

In The Last Decade

Lu Ao

53 papers receiving 871 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lu Ao China 19 424 243 217 162 155 56 878
Meiling Ji China 19 527 1.2× 351 1.4× 324 1.5× 153 0.9× 217 1.4× 50 1.1k
Ying Jiao China 14 492 1.2× 229 0.9× 350 1.6× 66 0.4× 95 0.6× 30 1.1k
Julia Heß Germany 20 500 1.2× 284 1.2× 181 0.8× 122 0.8× 137 0.9× 43 1.0k
Jette Bornholdt Denmark 23 710 1.7× 308 1.3× 115 0.5× 130 0.8× 93 0.6× 37 1.5k
Hailin Ma China 14 295 0.7× 138 0.6× 212 1.0× 104 0.6× 102 0.7× 30 767
Chang Su China 16 598 1.4× 303 1.2× 226 1.0× 87 0.5× 72 0.5× 57 1.2k
Jitka Soukupová Spain 14 381 0.9× 160 0.7× 217 1.0× 114 0.7× 51 0.3× 19 824
Yue Jiang China 20 942 2.2× 708 2.9× 195 0.9× 88 0.5× 133 0.9× 72 1.5k

Countries citing papers authored by Lu Ao

Since Specialization
Citations

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

Fields of papers citing papers by Lu Ao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lu Ao

This figure shows the co-authorship network connecting the top 25 collaborators of Lu Ao. A scholar is included among the top collaborators of Lu Ao 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 Lu Ao. Lu Ao 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.
Zhou, Wei, Yusong Lv, Guiai Jiao, et al.. (2025). The F-box protein CHALK10 mediates SEMIDWARF-1 ubiquitination and degradation to negatively regulate grain chalkiness in rice. Plant Communications. 6(7). 101354–101354. 1 indexed citations
2.
Cao, Qi, et al.. (2024). Testosterone does not mediate the correlation between dietary inflammation and serum klotho levels among males: insights from NHANES database. Frontiers in Endocrinology. 15. 1370457–1370457. 1 indexed citations
3.
Liu, Yongqiang, Guiai Jiao, Lu Ao, et al.. (2024). The elite eating quality alleles Wxb and ALKb are regulated by OsDOF18 and coordinately improve head rice yield. Plant Biotechnology Journal. 22(6). 1582–1595. 14 indexed citations
4.
Tan, Bo, Lu Ao, Yuxin Miao, et al.. (2024). Asynchronous changes of hydrogen sulfide and its generating enzymes in most tissues with the aging process. Bioscience Reports. 44(10). 1 indexed citations
5.
Zhang, Huarong, et al.. (2024). Bulk and single‐cell transcriptome reveal the immuno‐prognostic subtypes and tumour microenvironment heterogeneity in HCC. Liver International. 44(4). 979–995. 2 indexed citations
6.
Cao, Qi, Jiani Zhang, Xiaohu Hao, et al.. (2024). The association between testosterone and serum soluble klotho in the females: evidence from the NHANES database. Frontiers in Endocrinology. 15. 1335611–1335611. 4 indexed citations
7.
Wang, Shenglin, Lu Ao, Hongxiang Wei, et al.. (2024). Single‐cell transcriptomic analysis of the senescent microenvironment in bone metastasis. Cell Proliferation. 58(1). e13743–e13743. 4 indexed citations
8.
Zhao, Yang, Bo Meng, Lu Ao, et al.. (2024). SEAOP: a statistical ensemble approach for outlier detection in quantitative proteomics data. Briefings in Bioinformatics. 25(3). 3 indexed citations
9.
10.
Zhang, Huarong, Yijuan Liu, Yongbin Zeng, et al.. (2023). Identification reproducible microbiota biomarkers for the diagnosis of cirrhosis and hepatocellular carcinoma. AMB Express. 13(1). 35–35. 13 indexed citations
11.
Lu, Shuting, et al.. (2023). Integrated analysis of transcription factor-mRNA-miRNA regulatory network related to immune characteristics in medullary thyroid carcinoma. Frontiers in Immunology. 13. 1055412–1055412. 4 indexed citations
12.
Ao, Lu, Yidan Shi, Yijuan Liu, et al.. (2021). Integrative analyses identified ion channel genes GJB2 and SCNN1B as prognostic biomarkers and therapeutic targets for lung adenocarcinoma. Lung Cancer. 158. 29–39. 20 indexed citations
13.
Zou, Yi, Yidan Shi, Zhiyu Jiang, et al.. (2021). Integrative Pan-Cancer Analysis Reveals Decreased Melatonergic Gene Expression in Carcinogenesis and RORA as a Prognostic Marker for Hepatocellular Carcinoma. Frontiers in Oncology. 11. 643983–643983. 7 indexed citations
14.
Li, Ying, Wenbin Jiang, Mengyue Li, et al.. (2020). Identification of a small mutation panel of coding sequences to predict the efficacy of immunotherapy for lung adenocarcinoma. Journal of Translational Medicine. 18(1). 25–25. 5 indexed citations
15.
Guan, Qingzhou, Haidan Yan, Yanhua Chen, et al.. (2018). Quantitative or qualitative transcriptional diagnostic signatures? A case study for colorectal cancer. BMC Genomics. 19(1). 99–99. 30 indexed citations
16.
Guo, You, Weizhong Jiang, Lu Ao, et al.. (2018). A qualitative signature for predicting pathological response to neoadjuvant chemoradiation in locally advanced rectal cancers. Radiotherapy and Oncology. 129(1). 149–153. 18 indexed citations
17.
Tong, Mengying, Qirui Liang, You Guo, et al.. (2017). Epigenomics alternations and dynamic transcriptional changes in responses to 5-fluorouracil stimulation reveal mechanisms of acquired drug resistance of colorectal cancer cells. The Pharmacogenomics Journal. 18(1). 23–28. 33 indexed citations
18.
Guo, You, Jun Cheng, Lu Ao, et al.. (2016). Discriminating cancer-related and cancer-unrelated chemoradiation-response genes for locally advanced rectal cancers. Scientific Reports. 6(1). 36935–36935. 5 indexed citations
19.
Ao, Lu, Haidan Yan, Tingting Zheng, et al.. (2015). Identification of reproducible drug-resistance-related dysregulated genes in small-scale cancer cell line experiments. Scientific Reports. 5(1). 11895–11895. 11 indexed citations
20.
Zheng, Tingting, et al.. (2014). Similar blood-borne DNA methylation alterations in cancer and inflammatory diseases determined by subpopulation shifts in peripheral leukocytes. British Journal of Cancer. 111(3). 525–531. 13 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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