Na Liu

3.5k total citations
98 papers, 2.1k citations indexed

About

Na Liu is a scholar working on Immunology, Molecular Biology and Cancer Research. According to data from OpenAlex, Na Liu has authored 98 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Immunology, 28 papers in Molecular Biology and 20 papers in Cancer Research. Recurrent topics in Na Liu's work include Cancer, Hypoxia, and Metabolism (13 papers), Intracerebral and Subarachnoid Hemorrhage Research (8 papers) and Immune Cell Function and Interaction (8 papers). Na Liu is often cited by papers focused on Cancer, Hypoxia, and Metabolism (13 papers), Intracerebral and Subarachnoid Hemorrhage Research (8 papers) and Immune Cell Function and Interaction (8 papers). Na Liu collaborates with scholars based in China, United States and Germany. Na Liu's co-authors include Bo Luo, Guoying Gao, Lei Hu, K.L. Yao, Zhouping Tang, Jie Tu, Chunquan Sheng, Zhi‐Hong Guan, Zuyi Yuan and Shun Wang and has published in prestigious journals such as Journal of Clinical Investigation, SHILAP Revista de lepidopterología and Immunity.

In The Last Decade

Na Liu

95 papers receiving 2.1k 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 Liu China 24 782 475 316 240 240 98 2.1k
Sunyoung Park South Korea 27 782 1.0× 316 0.7× 221 0.7× 41 0.2× 240 1.0× 107 2.3k
Tianfu Wu United States 33 966 1.2× 1.5k 3.2× 155 0.5× 133 0.6× 139 0.6× 98 3.4k
Abhimanyu Thakur United States 26 1.6k 2.1× 253 0.5× 807 2.6× 84 0.3× 123 0.5× 87 2.6k
Lixin Ma United States 32 981 1.3× 246 0.5× 258 0.8× 55 0.2× 159 0.7× 128 3.4k
Yong Park South Korea 22 891 1.1× 222 0.5× 225 0.7× 178 0.7× 48 0.2× 157 2.3k
Guoqiang Zhang China 27 928 1.2× 255 0.5× 391 1.2× 39 0.2× 125 0.5× 160 2.2k
Ying Su China 24 857 1.1× 190 0.4× 346 1.1× 79 0.3× 102 0.4× 125 1.9k
Hiroyuki Tsuchiya Japan 31 1.3k 1.6× 244 0.5× 453 1.4× 78 0.3× 58 0.2× 164 3.1k
Sukhwinder Kaur United States 31 1.3k 1.7× 421 0.9× 545 1.7× 120 0.5× 47 0.2× 70 2.9k
Shen Gao China 36 1.8k 2.3× 299 0.6× 636 2.0× 32 0.1× 164 0.7× 142 3.7k

Countries citing papers authored by Na Liu

Since Specialization
Citations

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

Fields of papers citing papers by Na Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Na Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Na Liu. A scholar is included among the top collaborators of Na Liu 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 Liu. Na Liu 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.
Liu, Na, et al.. (2025). Recognition of the Novel HLA‐A*02:07:01:07 Allele Through Third‐Generation HLA‐Targeted Sequencing Technology. HLA. 105(3). e70120–e70120. 1 indexed citations
2.
Xiong, Ling, Na Liu, Thomas Lehmann, et al.. (2025). Targeting protein kinase C-α prolongs survival and restores liver function in sepsis: Evidence from preclinical models. Pharmacological Research. 212. 107581–107581. 1 indexed citations
3.
4.
Liu, Na, Carl‐Magnus Svensson, Marc Thilo Figge, et al.. (2024). Metamizole outperforms meloxicam in sepsis: insights on analgesics, survival and immunomodulation in the peritoneal contamination and infection sepsis model. Frontiers in Immunology. 15. 1432307–1432307. 1 indexed citations
5.
Yao, Chen, Tyrone Dowdy, Wenwen Jin, et al.. (2023). TGF-β uncouples glycolysis and inflammation in macrophages and controls survival during sepsis. Science Signaling. 16(797). eade0385–eade0385. 42 indexed citations
6.
7.
Sun, Yan, Na Liu, Ziping Zhang, et al.. (2022). IL-27 attenuates airway inflammation and epithelial-mesenchymal transition in allergic asthmatic mice possibly via the RhoA/ROCK signalling pathway. European Cytokine Network. 33(1). 13–24. 5 indexed citations
8.
Teng, Yan, Yibin Fan, Wei Lü, et al.. (2021). The PI3K/Akt Pathway: Emerging Roles in Skin Homeostasis and a Group of Non-Malignant Skin Disorders. Cells. 10(5). 1219–1219. 95 indexed citations
9.
Liu, Na, Yuchen Feng, Huicheng Liu, et al.. (2021). ATP6V0d2 Suppresses Alveoli Macrophage Alternative Polarization and Allergic Asthma via Degradation of PU.1. Allergy Asthma and Immunology Research. 13(3). 479–479. 4 indexed citations
10.
Zhang, Ping, Yingxin Tang, Chao Pan, et al.. (2020). Artificial intelligence: The dawn of a new era for cutting-edge technology based diagnosis and treatment for stroke. SHILAP Revista de lepidopterología. 1(1). 1–5. 4 indexed citations
11.
Han, Guiyan, et al.. (2020). Discovery of Novel Fungal Lanosterol 14α-Demethylase (CYP51)/Histone Deacetylase Dual Inhibitors to Treat Azole-Resistant Candidiasis. Journal of Medicinal Chemistry. 63(10). 5341–5359. 59 indexed citations
12.
Xu, Junji, Peter Zanvit, Lei Hu, et al.. (2020). The Cytokine TGF-β Induces Interleukin-31 Expression from Dermal Dendritic Cells to Activate Sensory Neurons and Stimulate Wound Itching. Immunity. 53(2). 371–383.e5. 81 indexed citations
13.
Zhang, Cai, Yaqi Duan, Minghui Xia, et al.. (2019). TFEB Mediates Immune Evasion and Resistance to mTOR Inhibition of Renal Cell Carcinoma via Induction of PD-L1. Clinical Cancer Research. 25(22). 6827–6838. 55 indexed citations
14.
Liu, Yaozhong, Fan Bai, Na Liu, Feifan Ouyang, & Qiming Liu. (2019). The Warburg effect: A new insight into atrial fibrillation. Clinica Chimica Acta. 499. 4–12. 28 indexed citations
15.
Cai, Yihua, Feng Xue, Hui Qin, et al.. (2019). Differential Roles of the mTOR-STAT3 Signaling in Dermal γδ T Cell Effector Function in Skin Inflammation. Cell Reports. 27(10). 3034–3048.e5. 57 indexed citations
16.
Hu, Yang, Gaigai Li, Ye Zhang, et al.. (2018). Upregulated TSG-6 Expression in ADSCs Inhibits the BV2 Microglia-Mediated Inflammatory Response. BioMed Research International. 2018. 1–11. 18 indexed citations
17.
Meng, Ruiwei, Na Liu, Canqing Yu, et al.. (2018). Association between major depressive episode and risk of type 2 diabetes: A large prospective cohort study in Chinese adults. Journal of Affective Disorders. 234. 59–66. 22 indexed citations
18.
Liu, Hui, et al.. (2018). Study on a dSPE-LC-MS/MS method for lysophosphatidylcholines and underivatized neurotransmitters in rat brain tissues. Journal of Chromatography B. 1096. 11–19. 10 indexed citations
19.
Tang, Jiao, Jianguo Wang, Lin Fan, et al.. (2016). cRGD inhibits vasculogenic mimicry formation by down-regulating uPA expression and reducing EMT in ovarian cancer. Oncotarget. 7(17). 24050–24062. 32 indexed citations
20.
Pan, Chao, Yang Hu, Na Liu, et al.. (2015). Aggressive Blood Pressure Lowing Therapy in Patients with Acute Intracerebral Hemorrhage is Safe. Chinese Medical Journal. 128(18). 2524–2529. 11 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Sunyoung Park Breakdown of academic impact, for papers by Tianfu Wu Breakdown of academic impact, for papers by Abhimanyu Thakur Breakdown of academic impact, for papers by Lixin Ma Breakdown of academic impact, for papers by Yong Park Breakdown of academic impact, for papers by Guoqiang Zhang Breakdown of academic impact, for papers by Ying Su Breakdown of academic impact, for papers by Hiroyuki Tsuchiya Breakdown of academic impact, for papers by Sukhwinder Kaur Breakdown of academic impact, for papers by Shen Gao
Rankless by CCL
2026