Na Yao

987 total citations
39 papers, 458 citations indexed

About

Na Yao is a scholar working on Oncology, Molecular Biology and Pathology and Forensic Medicine. According to data from OpenAlex, Na Yao has authored 39 papers receiving a total of 458 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Oncology, 12 papers in Molecular Biology and 10 papers in Pathology and Forensic Medicine. Recurrent topics in Na Yao's work include Lymphoma Diagnosis and Treatment (8 papers), Viral-associated cancers and disorders (6 papers) and Cancer Immunotherapy and Biomarkers (4 papers). Na Yao is often cited by papers focused on Lymphoma Diagnosis and Treatment (8 papers), Viral-associated cancers and disorders (6 papers) and Cancer Immunotherapy and Biomarkers (4 papers). Na Yao collaborates with scholars based in China, Australia and South Korea. Na Yao's co-authors include Wenzhen Kang, Jing He, Tiansong Xia, Yichao Zhu, Yongtao Sun, Zhao Liu, Lie Chen, Yue Fu, Wen Kang and Suna Wang and has published in prestigious journals such as Blood, PLoS ONE and Hepatology.

In The Last Decade

Na Yao

33 papers receiving 451 citations

Peers

Na Yao

ONCOL

SURGE

Sarah Williams United Kingdom

Qiuming Zeng China

Zhuo Gao China

Ekaterina Pisareva France

Ding‐Chao Rong China

Anne Rowzee United States

Hanbing Ning China

Eui‐Young So United States

Rowaida Z. Taha Qatar

Longlong Xie China

Sarah Williams United Kingdom

Na Yao

210 ×1.0

45 ×0.4

90 ×0.9

ONCOL

49 ×0.6

132 ×1.9

SURGE

Citations per year, relative to Na Yao Na Yao (= 1×) peers Sarah Williams

Countries citing papers authored by Na Yao

Since Specialization

Citations

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

Fields of papers citing papers by Na Yao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Na Yao

This figure shows the co-authorship network connecting the top 25 collaborators of Na Yao. A scholar is included among the top collaborators of Na Yao 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 Yao. Na Yao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Yao, Na, Wei‐Dan Jiang, Pei Wu, et al.. (2025). Arecoline regulates glycolipid and endoplasmic reticulum metabolisms in adult grass carp (Ctenopharyngodon idella). Animal nutrition. 21. 447–461.

Yao, Na, et al.. (2024). Ribosomal protein L22 like 1: a promising biomarker for lung adenocarcinoma. Journal of Cancer. 15(9). 2549–2560. 1 indexed citations

Yao, Na, et al.. (2024). Efficacy and safety of PD-1 inhibitors plus chemotherapy with or without endostatin for stage IV lung squamous cancer: a retrospective study. Frontiers in Immunology. 15.

Yang, Lei, Xin Li, Jin Ye, et al.. (2024). Analysis of the treatment and prognosis of 266 cases of extranodal natural killer/T-cell lymphoma, nasal type in a single medical center. Frontiers in Oncology. 14. 1388564–1388564.

Du, Bin, et al.. (2023). First-generation EGFR-TKI plus bevacizumab and chemotherapy for advanced EGFR-mutated non-squamous non-small-cell lung cancer: a retrospective study. Annals of Medicine. 55(2). 2243967–2243967. 2 indexed citations

Chen, Dongjie, Yizhi Cao, Na Yao, et al.. (2023). Comprehensive machine learning-generated classifier identifies pro-metastatic characteristics and predicts individual treatment in pancreatic cancer: A multicenter cohort study based on super-enhancer profiling. Theranostics. 13(10). 3290–3309. 5 indexed citations

Yao, Na, Lin Feng, Wei‐Dan Jiang, et al.. (2023). An emerging role of arecoline on growth performance, intestinal digestion and absorption capacities and intestinal structural integrity of adult grass carp (Ctenopharyngodon idella). Animal nutrition. 15. 173–186. 15 indexed citations

Wang, Chengxin, et al.. (2023). A Comprehensive Analysis of Triplophysa labiata (Kessler, 1874) Mitogenome and Its Phylogenetic Implications within the Triplophysa Genus. Genes. 14(7). 1356–1356. 2 indexed citations

Hong, Yaping, et al.. (2023). Novel nomogram for predicting survival in advanced non-small cell lung cancer receiving anti-PD-1 plus chemotherapy with or without antiangiogenic therapy. Frontiers in Immunology. 14. 1297188–1297188. 3 indexed citations

10.

Luo, Chu‐Bin, Haoyang Xin, Zheng‐Jun Zhou, et al.. (2022). Tumor‐derived exosomes induce immunosuppressive macrophages to foster intrahepatic cholangiocarcinoma progression. Hepatology. 76(4). 982–999. 78 indexed citations

11.

Yao, Na, et al.. (2021). An Immune-Related Prognostic Classifier Is Associated with Diffuse Large B Cell Lymphoma Microenvironment. Journal of Immunology Research. 2021. 1–26. 7 indexed citations

12.

Yang, Lei, Ye Jin, Xin Li, et al.. (2020). Outcomes of patients treated with SVILE <i>vs</i>. P-GemOx for extranodal natural killer/T-cell lymphoma, nasal type: a prospective, randomized controlled study. Cancer Biology and Medicine. 17(3). 795–804. 4 indexed citations

13.

Yang, Lei, Jin Ye, Na Yao, et al.. (2020). Using etoposide + dexamethasone-based regimens to treat nasal type extranodal natural killer/T-cell lymphoma-associated hemophagocytic lymphohistiocytosis. Journal of Cancer Research and Clinical Oncology. 147(3). 863–869. 7 indexed citations

14.

Yao, Na, Yanli Lu, Ming‐Yie Liu, et al.. (2019). The major effective components in Shengmai Formula interact with sodium taurocholate co-transporting polypeptide. Phytomedicine. 59. 152916–152916. 13 indexed citations

15.

Gao, Qi, Guangbing Wei, Na Yao, et al.. (2019). Novel technique to manage refractory chylous ascites with carbon nanoparticle suspension in infants. Journal of Pediatric Surgery. 55(4). 772–776. 3 indexed citations

16.

Sun, Shuzhen, Hong Cao, Na Yao, et al.. (2019). β-Arrestin 2 mediates arginine vasopressin-induced IL-6 induction via the ERK1/2-NF-κB signal pathway in murine hearts. Acta Pharmacologica Sinica. 41(2). 198–207. 17 indexed citations

17.

Yan, Bin, Minjun Huang, Canjun Zeng, et al.. (2018). Locally Produced IGF-1 Promotes Hypertrophy of the Ligamentum Flavum via the mTORC1 Signaling Pathway. Cellular Physiology and Biochemistry. 48(1). 293–303. 16 indexed citations

18.

Wang, Jingwen, Jin Ye, Lei Yang, et al.. (2017). Autologous hematopoietic stem cell transplantation may improve long-term outcomes in patients with newly diagnosed extranodal natural killer/T-cell lymphoma, nasal type: a retrospective controlled study in a single center. International Journal of Hematology. 107(1). 98–104. 11 indexed citations

19.

Zhao, Ke, Wenzhen Kang, Qingquan Liu, et al.. (2014). Genotypes and Transmitted Drug Resistance among Treatment-Naive HIV-1-Infected Patients in a Northwestern Province, China: Trends from 2003 to 2013. PLoS ONE. 9(10). e109821–e109821. 16 indexed citations

20.

Luo, Haiqing, et al.. (2014). Metastasis-associated protein 1 as a new prognostic marker for solid tumors: a meta-analysis of cohort studies. Tumor Biology. 35(6). 5823–5832. 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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