Na Luo

988 total citations · 1 hit paper
22 papers, 715 citations indexed

About

Na Luo is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Na Luo has authored 22 papers receiving a total of 715 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 11 papers in Cancer Research and 6 papers in Oncology. Recurrent topics in Na Luo's work include RNA modifications and cancer (6 papers), Cancer, Hypoxia, and Metabolism (4 papers) and Breast Cancer Treatment Studies (4 papers). Na Luo is often cited by papers focused on RNA modifications and cancer (6 papers), Cancer, Hypoxia, and Metabolism (4 papers) and Breast Cancer Treatment Studies (4 papers). Na Luo collaborates with scholars based in China, United States and Netherlands. Na Luo's co-authors include Ellin Berman, Vundavalli V. Murty, Aruna Kode, Ioanna Mosialou, Andrea M. Brum, Govind Bhagat, Raúl Rabadán, John S. Manavalan, Julie Teruya‐Feldstein and Chozha Vendan Rathinam and has published in prestigious journals such as Nature, Scientific Reports and Biochemical and Biophysical Research Communications.

In The Last Decade

Na Luo

21 papers receiving 708 citations

Hit Papers

Leukaemogenesis induced by an activating β-catenin mutati... 2014 2026 2018 2022 2014 100 200 300
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. Leukaemogenesis induced by an activating β-catenin mutation in osteoblasts
    2014 398 citations Aruna Kode, John S. Manavalan et al. Nature profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Na Luo China 13 373 262 180 126 115 22 715
Justin M. Watts United States 17 560 1.5× 530 2.0× 99 0.6× 115 0.9× 193 1.7× 127 968
Manoj M. Pillai United States 18 557 1.5× 119 0.5× 236 1.3× 141 1.1× 231 2.0× 39 897
Michael Andreef United States 10 316 0.8× 342 1.3× 143 0.8× 34 0.3× 130 1.1× 17 698
Shuhei Koide Japan 17 649 1.7× 276 1.1× 141 0.8× 153 1.2× 171 1.5× 48 932
Hongyu Ni United States 15 551 1.5× 456 1.7× 134 0.7× 125 1.0× 149 1.3× 40 908
Xiaoman Jung United States 7 309 0.8× 163 0.6× 184 1.0× 125 1.0× 160 1.4× 8 574
Shirin Azizidoost Iran 12 256 0.7× 120 0.5× 188 1.0× 67 0.5× 80 0.7× 44 465
Fiorella D’Auria Italy 16 268 0.7× 276 1.1× 98 0.5× 161 1.3× 175 1.5× 42 674
Bruno A. Cardoso Portugal 14 434 1.2× 250 1.0× 91 0.5× 234 1.9× 230 2.0× 25 858
Asuka Oda Japan 13 353 0.9× 281 1.1× 142 0.8× 120 1.0× 310 2.7× 36 693

Countries citing papers authored by Na Luo

Since Specialization
Citations

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

Fields of papers citing papers by Na Luo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Na Luo

This figure shows the co-authorship network connecting the top 25 collaborators of Na Luo. A scholar is included among the top collaborators of Na Luo 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 Na Luo. Na Luo 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
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Zhang, Yu, Yuxiang Jiang, Zihan Xu, et al.. (2025). Weighted single-step genome-wide association study identified genomic regions and candidate genes for growth and reproductive traits in Wenchang chicken. Poultry Science. 104(5). 104733–104733. 2 indexed citations
4.
Liu, Ranran, Xiuping Wang, Huanxian Cui, et al.. (2024). Genome-wide association analysis identify candidate genes for feed efficiency and growth traits in Wenchang chickens. BMC Genomics. 25(1). 645–645. 7 indexed citations
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Zhang, Kejing, et al.. (2023). YTHDF2 Regulates Cell Growth and Cycle by Facilitating KDM1A mRNA Stability. American Journal Of Pathology. 193(4). 442–455. 8 indexed citations
7.
Gong, Ke, Shengyun Li, Youzhong Liu, et al.. (2023). Oncoplastic breast-conserving surgery improves cosmetic outcomes without increasing recurrence risk compared to modified radical mastectomy in early breast cancer patients: development and validation of a recurrence risk prediction model.. PubMed. 13(9). 4259–4268. 6 indexed citations
8.
Gou, Wenfeng, Na Luo, Hongying Wu, et al.. (2022). Ursolic Acid Derivative UA232 Promotes Tumor Cell Apoptosis by Inducing Endoplasmic Reticulum Stress and Lysosomal Dysfunction. International Journal of Biological Sciences. 18(6). 2639–2651. 18 indexed citations
9.
Zhu, Qin, Hongyan Zai, Kejing Zhang, et al.. (2022). L-norvaline affects the proliferation of breast cancer cells based on the microbiome and metabolome analysis. Journal of Applied Microbiology. 133(2). 1014–1026. 15 indexed citations
10.
Luo, Na, Ying Wen, Qiongyan Zou, et al.. (2022). Construction and validation of a risk prediction model for clinical axillary lymph node metastasis in T1–2 breast cancer. Scientific Reports. 12(1). 687–687. 8 indexed citations
11.
Chen, Qitong, Na Luo, Piao Zhao, et al.. (2022). 3D reconstruction based novel methods are more effective than traditional clinical assessment in breast cancer axillary lymph node metastasis prediction. Scientific Reports. 12(1). 12425–12425. 3 indexed citations
12.
Zhang, Yuanyuan, Yang Feng, Xiaohong Peng, et al.. (2021). Hypoxia Constructing the Prognostic Model of Colorectal Adenocarcinoma and Related to the Immune Microenvironment. Frontiers in Cell and Developmental Biology. 9. 665364–665364. 12 indexed citations
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Chen, Qitong, Liyun Zeng, Dengjie Ouyang, et al.. (2019). Surgery of the Primary Tumor Offers Survival Benefits of Breast Cancer with Synchronous Ipsilateral Supraclavicular Lymph Node Metastasis. World Journal of Surgery. 44(4). 1163–1172. 3 indexed citations
15.
Gao, Ruifang, Dan Li, Jing Xun, et al.. (2018). CD44ICD promotes breast cancer stemness via PFKFB4-mediated glucose metabolism. Theranostics. 8(22). 6248–6262. 71 indexed citations
16.
Gao, Ruifang, Yanhua Liu, Dan Li, et al.. (2018). PFKFB4 Promotes Breast Cancer Metastasis via Induction of Hyaluronan Production in a p38-Dependent Manner. Cellular Physiology and Biochemistry. 50(6). 2108–2123. 23 indexed citations
17.
Kode, Aruna, John S. Manavalan, Ioanna Mosialou, et al.. (2014). Leukaemogenesis induced by an activating β-catenin mutation in osteoblasts. Nature. 506(7487). 240–244. 398 indexed citations breakdown →
18.
Meng, Linghui, Na Luo, Hong Cheng, et al.. (2011). [Waist circumference reference values in Beijing versus the national values in detecting cardiovascular risk factors in 7-18 years old children].. PubMed. 45(8). 717–22. 2 indexed citations
19.
Cheng, Yingduan, Yuequn Wang, Yanmei Li, et al.. (2006). A novel human gene ZNF415 with five isoforms inhibits AP-1- and p53-mediated transcriptional activity. Biochemical and Biophysical Research Communications. 351(1). 33–39. 17 indexed citations
20.
Osman, R, Mónika Fuxreiter, & Na Luo. (2000). Specificity of damage recognition and catalysis of DNA repair. Computers & Chemistry. 24(3-4). 331–339. 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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