Na Luo

1.7k total citations
47 papers, 1.3k citations indexed

About

Na Luo is a scholar working on Molecular Biology, Oncology and Immunology. According to data from OpenAlex, Na Luo has authored 47 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Molecular Biology, 12 papers in Oncology and 11 papers in Immunology. Recurrent topics in Na Luo's work include RNA Interference and Gene Delivery (5 papers), Cancer Immunotherapy and Biomarkers (5 papers) and Immunotherapy and Immune Responses (4 papers). Na Luo is often cited by papers focused on RNA Interference and Gene Delivery (5 papers), Cancer Immunotherapy and Biomarkers (5 papers) and Immunotherapy and Immune Responses (4 papers). Na Luo collaborates with scholars based in China, United States and Australia. Na Luo's co-authors include Wenzhi Shen, Changyang Gong, Violeta Sánchez, Paula I. González-Ericsson, Justin M. Balko, Melinda E. Sanders, Susan R. Opalenik, Rong Xiang, Qinjie Wu and Zhu Yuan and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and Scientific Reports.

In The Last Decade

Na Luo

45 papers receiving 1.3k citations

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 23 628 354 329 183 124 47 1.3k
Kyung Hee Noh South Korea 25 784 1.2× 474 1.3× 504 1.5× 239 1.3× 118 1.0× 45 1.6k
Jianhong Chen China 24 693 1.1× 539 1.5× 328 1.0× 219 1.2× 114 0.9× 69 1.7k
Yiwei Wang China 23 895 1.4× 253 0.7× 207 0.6× 259 1.4× 48 0.4× 75 1.6k
Thangirala Sudha United States 23 655 1.0× 214 0.6× 149 0.5× 177 1.0× 129 1.0× 46 1.2k
Xiaochun Peng China 23 807 1.3× 490 1.4× 321 1.0× 226 1.2× 73 0.6× 74 1.8k
Sanam Sadreddini Iran 16 734 1.2× 281 0.8× 265 0.8× 366 2.0× 150 1.2× 25 1.4k
Belal Azab United States 22 914 1.5× 523 1.5× 279 0.8× 229 1.3× 139 1.1× 62 1.8k
Baohong Zhang China 24 579 0.9× 305 0.9× 232 0.7× 74 0.4× 89 0.7× 77 1.6k
Pulicat Manogaran Saudi Arabia 19 875 1.4× 499 1.4× 295 0.9× 206 1.1× 36 0.3× 35 1.6k

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
1.
Ma, Yonggang, Na Luo, Yangyang Wang, et al.. (2025). SIRT1-PINK1-Parkin axis orchestrated mitophagy and renal repair by dapagliflozin in diabetic nephropathy. Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease. 1872(2). 168074–168074.
2.
González-Ericsson, Paula I., Rosa I. Gallagher, Xiaopeng Sun, et al.. (2021). Tumor-Specific Major Histocompatibility-II Expression Predicts Benefit to Anti–PD-1/L1 Therapy in Patients With HER2-Negative Primary Breast Cancer. Clinical Cancer Research. 27(19). 5299–5306. 54 indexed citations
4.
Li, Dan, Ruifang Gao, Wenzhi Shen, et al.. (2021). PFKFB4 promotes angiogenesis via IL-6/STAT5A/P-STAT5 signaling in breast cancer. Journal of Cancer. 13(1). 212–224. 10 indexed citations
5.
Zhang, Xiaoyuan, Renle Du, Na Luo, Rong Xiang, & Wenzhi Shen. (2020). Aspirin mediates histone methylation that inhibits inflammation-related stemness gene expression to diminish cancer stemness via COX-independent manner. Stem Cell Research & Therapy. 11(1). 370–370. 17 indexed citations
6.
Shen, Wenzhi, Xiaoyuan Zhang, Renle Du, et al.. (2018). ICAM3 mediates tumor metastasis via a LFA-1-ICAM3-ERM dependent manner. Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease. 1864(8). 2566–2578. 16 indexed citations
7.
Shen, Wenzhi, Shuangtao Zhao, Renle Du, et al.. (2018). ICAM3 mediates inflammatory signaling to promote cancer cell stemness. Cancer Letters. 422. 29–43. 32 indexed citations
8.
Zhang, Xiaoyuan, Renle Du, Wenjuan Gao, et al.. (2018). Low dosage of arsenic trioxide (As2O3) inhibits angiogenesis in epithelial ovarian cancer without cell apoptosis. JBIC Journal of Biological Inorganic Chemistry. 23(6). 939–947. 19 indexed citations
9.
Luo, Na, Mellissa J. Nixon, Paula I. González-Ericsson, et al.. (2018). DNA methyltransferase inhibition upregulates MHC-I to potentiate cytotoxic T lymphocyte responses in breast cancer. Nature Communications. 9(1). 248–248. 191 indexed citations
10.
Shen, Wenzhi, Renle Du, Jun Li, et al.. (2016). TIFA suppresses hepatocellular carcinoma progression via MALT1-dependent and -independent signaling pathways. Signal Transduction and Targeted Therapy. 1(1). 16013–16013. 35 indexed citations
11.
Wu, Qinjie, Ning Wang, Tao He, et al.. (2015). Thermosensitive hydrogel containing dexamethasone micelles for preventing postsurgical adhesion in a repeated-injury model. Scientific Reports. 5(1). 13553–13553. 40 indexed citations
12.
Yuan, Zhu, Wenhao Guo, Jun Yang, et al.. (2015). PNAS-4, an Early DNA Damage Response Gene, Induces S Phase Arrest and Apoptosis by Activating Checkpoint Kinases in Lung Cancer Cells. Journal of Biological Chemistry. 290(24). 14927–14944. 30 indexed citations
13.
Shen, Wenzhi, Antao Chang, Wei Zhou, et al.. (2015). TIFA, an inflammatory signaling adaptor, is tumor suppressive for liver cancer. Oncogenesis. 4(10). e173–e173. 32 indexed citations
14.
Nie, Chao, Yi Luo, Xinyu Zhao, et al.. (2014). Caspase-9 mediates Puma activation in UCN-01-induced apoptosis. Cell Death and Disease. 5(10). e1495–e1495. 24 indexed citations
15.
Wu, Liang, Na Luo, Qing Gao, et al.. (2014). Salubrinal protects against rotenone-induced SH-SY5Y cell death via ATF4-parkin pathway. Brain Research. 1549. 52–62. 54 indexed citations
16.
Wu, Qinjie, Guo‐You Li, Senyi Deng, et al.. (2014). Enhanced antitumor activity and mechanism of biodegradable polymeric micelles-encapsulated chetomin in both transgenic zebrafish and mouse models. Nanoscale. 6(20). 11940–11952. 17 indexed citations
17.
Zhang, Zhuhong, et al.. (2014). Increased Th17 cells and IL-17 in rats with traumatic optic neuropathy. Molecular Medicine Reports. 10(4). 1954–1958. 12 indexed citations
18.
Zhou, Rui, Jian Zhong, Chunlai Nie, et al.. (2014). HepG2.2.15 as a model for studying cell protrusion and migration regulated by S100 proteins. Biochemical and Biophysical Research Communications. 449(1). 175–181. 1 indexed citations
19.
Zhou, Manqian, Lina Wang, Weijun Su, et al.. (2012). Assessment of Therapeutic Efficacy of Liposomal Nanoparticles Mediated Gene Delivery by Molecular Imaging for Cancer Therapy. Journal of Biomedical Nanotechnology. 8(5). 742–750. 15 indexed citations
20.
Zhou, Jieyu, et al.. (2010). ZNF424, a novel human KRAB/C2H2 zinc finger protein, suppresses NFAT and p21 pathway. BMB Reports. 43(3). 212–218. 3 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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