Na Han

711 total citations
10 papers, 269 citations indexed

About

Na Han is a scholar working on Molecular Biology, Oncology and Epidemiology. According to data from OpenAlex, Na Han has authored 10 papers receiving a total of 269 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 2 papers in Oncology and 2 papers in Epidemiology. Recurrent topics in Na Han's work include RNA modifications and cancer (2 papers), Epigenetics and DNA Methylation (2 papers) and Pregnancy and preeclampsia studies (1 paper). Na Han is often cited by papers focused on RNA modifications and cancer (2 papers), Epigenetics and DNA Methylation (2 papers) and Pregnancy and preeclampsia studies (1 paper). Na Han collaborates with scholars based in China and United States. Na Han's co-authors include Katelyn O’Neill, Wei Zhou, Liqiang Zhang, Jian Li, Xu Luo, Kai Huang, Xiaming Pang, Wei Wu, Yong Wang and Wuling Zhu and has published in prestigious journals such as Brain Research, Cell Research and Molecular Therapy.

In The Last Decade

Na Han

10 papers receiving 267 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 Han China 6 166 65 31 30 30 10 269
Diana Domínguez Spain 4 185 1.1× 142 2.2× 14 0.5× 16 0.5× 40 1.3× 5 298
Alexey Shiryaev Norway 10 238 1.4× 26 0.4× 41 1.3× 34 1.1× 36 1.2× 12 384
Sara Ruiz Gil France 2 103 0.6× 91 1.4× 10 0.3× 16 0.5× 26 0.9× 3 193
Min Dai China 10 173 1.0× 63 1.0× 14 0.5× 31 1.0× 60 2.0× 27 344
Raffaella Picco Italy 12 297 1.8× 36 0.6× 20 0.6× 21 0.7× 49 1.6× 18 382
Antonio Morales‐Hernández United States 10 127 0.8× 40 0.6× 16 0.5× 9 0.3× 32 1.1× 16 253
Stéphanie Chadet France 10 154 0.9× 29 0.4× 39 1.3× 24 0.8× 29 1.0× 24 332
Fernando Janczur Velloso United States 9 199 1.2× 54 0.8× 25 0.8× 15 0.5× 72 2.4× 15 380

Countries citing papers authored by Na Han

Since Specialization
Citations

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

Fields of papers citing papers by Na Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Na Han

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

All Works

10 of 10 papers shown
1.
Li, Cuicui, et al.. (2025). Quality and Reliability of Transarterial Chemoembolization Videos on TikTok and Bilibili: Cross-Sectional Content Analysis Study. JMIR Formative Research. 9. e73855–e73855. 2 indexed citations
2.
Han, Mingli, Xueke Qian, Hui Cao, et al.. (2020). lncRNA ZNF649-AS1 Induces Trastuzumab Resistance by Promoting ATG5 Expression and Autophagy. Molecular Therapy. 28(11). 2488–2502. 44 indexed citations
3.
Han, Na, Fang Yuan, Xian Peng, et al.. (2019). <p>GADD45a Mediated Cell Cycle Inhibition Is Regulated By P53 In Bladder Cancer</p>. OncoTargets and Therapy. Volume 12. 7591–7599. 31 indexed citations
4.
Wang, Yanyan, et al.. (2019). Forecasting effect of Caprini risk assessment model for venous thromboembolism on venous thromboembolism among surgery patients: a Meta analysis. Zhonghua xiandai huli zazhi. 25(3). 313–318. 2 indexed citations
5.
Huang, Kai, Katelyn O’Neill, Jian Li, et al.. (2019). BH3-only proteins target BCL-xL/MCL-1, not BAX/BAK, to initiate apoptosis. Cell Research. 29(11). 942–952. 94 indexed citations
7.
Li, Ying, Na Han, Zhuo Chen, & Xing Li. (2016). Systematic review and meta-analysis of shenqi fuzheng and chemotherapy combination in the treatment of breast cancer. Bangladesh Journal of Pharmacology. 11(4). 793–793. 2 indexed citations
8.
Han, Na, et al.. (2011). Limited hippocampal neurogenesis in SAMP8 mouse model of Alzheimer's disease. Brain Research. 1389. 183–193. 33 indexed citations
9.
Zhu, Wuling, et al.. (2008). Messenger RNA expression of translationally controlled tumor protein (TCTP) in liver regeneration and cancer.. PubMed. 28(3A). 1575–80. 32 indexed citations
10.
Zhang, Mengxian, et al.. (2008). [Chemokine receptor CXCR4 gene silencing with shRNA inhibits breast cancer metastasis to the lung in nude mice].. PubMed. 30(5). 325–9. 2 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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