Na Han

2.0k total citations
78 papers, 1.3k citations indexed

About

Na Han is a scholar working on Molecular Biology, Infectious Diseases and Genetics. According to data from OpenAlex, Na Han has authored 78 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Molecular Biology, 19 papers in Infectious Diseases and 12 papers in Genetics. Recurrent topics in Na Han's work include SARS-CoV-2 and COVID-19 Research (9 papers), Genomics and Phylogenetic Studies (8 papers) and Gut microbiota and health (6 papers). Na Han is often cited by papers focused on SARS-CoV-2 and COVID-19 Research (9 papers), Genomics and Phylogenetic Studies (8 papers) and Gut microbiota and health (6 papers). Na Han collaborates with scholars based in China, South Korea and United States. Na Han's co-authors include Sha Liu, Lena L. N. Wong, Simon Rayner, Sigfrid D. Soli, Fang Wei, James Truslow Adams, Zhenyang Guo, Xiaoyan Tao, Jung Im Yun and Wen Zhang and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Journal of Virology.

In The Last Decade

Na Han

76 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 Han China 20 376 326 178 168 163 78 1.3k
Toshiaki Masegi Japan 25 436 1.2× 247 0.8× 48 0.3× 468 2.8× 98 0.6× 162 2.0k
Joshua Chang Mell United States 22 799 2.1× 107 0.3× 58 0.3× 268 1.6× 86 0.5× 59 1.4k
Michio Suzuki Japan 16 169 0.4× 86 0.3× 36 0.2× 220 1.3× 164 1.0× 40 846
Tania Dottorini United Kingdom 25 837 2.2× 74 0.2× 15 0.1× 82 0.5× 17 0.1× 55 1.9k
Zedong Wang China 24 237 0.6× 798 2.4× 99 0.6× 685 4.1× 252 1.5× 86 2.4k
Hung‐Jen Liu Taiwan 36 1.4k 3.6× 1.7k 5.1× 36 0.2× 935 5.6× 49 0.3× 207 4.5k
Eugene H. Johnson Oman 25 254 0.7× 724 2.2× 40 0.2× 277 1.6× 58 0.4× 111 2.3k
Nick J. Edwards United Kingdom 18 233 0.6× 332 1.0× 54 0.3× 136 0.8× 60 0.4× 33 1.1k
Yanpeng Li China 19 185 0.5× 205 0.6× 38 0.2× 297 1.8× 64 0.4× 87 949
James Hughes United States 17 197 0.5× 521 1.6× 30 0.2× 320 1.9× 111 0.7× 41 1.1k

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

20 of 20 papers shown
1.
2.
Sun, Tianze, et al.. (2025). Bone Tissue Engineering Scaffolds for Bone Aging: Drug Delivery and Microenvironment Regulation. Tissue Engineering Part B Reviews. 2204541502–2204541502. 1 indexed citations
3.
Ji, Chengyang, et al.. (2024). Comprehensive detection and dissection of interlineage recombination events in the SARS-CoV-2 pandemic. Virus Evolution. 10(1). veae074–veae074. 2 indexed citations
4.
Li, Jiaying, et al.. (2024). The spatiotemporal analysis of SARS-CoV-2 transmission in China since the termination of the dynamic zero-COVID policy. Virologica Sinica. 39(5). 737–746. 1 indexed citations
5.
Jiang, Ying, Ziyi Chen, Na Han, Jingzhe Shang, & Aiping Wu. (2023). sc-ImmuCC: hierarchical annotation for immune cell types in single-cell RNA-seq. Frontiers in Immunology. 14. 1223471–1223471. 2 indexed citations
6.
Yu, Li, Miaomiao Cai, Wenwen Zhang, et al.. (2023). Cas12a-based direct visualization of nanoparticle-stabilized fluorescence signal for multiplex detection of DNA methylation biomarkers. Biosensors and Bioelectronics. 244. 115810–115810. 11 indexed citations
7.
Ji, Chengyang, Na Han, Jingzhe Shang, et al.. (2022). sitePath: a visual tool to identify polymorphism clades and help find fixed and parallel mutations. BMC Bioinformatics. 23(1). 504–504. 3 indexed citations
8.
Ji, Chengyang, Na Han, Jingzhe Shang, et al.. (2022). Detecting Potentially Adaptive Mutations from the Parallel and Fixed Patterns in SARS-CoV-2 Evolution. Viruses. 14(5). 1087–1087. 4 indexed citations
9.
Ji, Chengyang, Na Han, Jiaying Li, et al.. (2022). covSampler: A subsampling method with balanced genetic diversity for large-scale SARS-CoV-2 genome data sets. Virus Evolution. 8(2). 5 indexed citations
10.
Zhou, Hangyu, Chengyang Ji, Liang Li, et al.. (2022). Conserved Pattern and Potential Role of Recurrent Deletions in SARS-CoV-2 Evolution. Microbiology Spectrum. 10(2). e0219121–e0219121. 10 indexed citations
11.
Zhao, Lili, Na Han, Yali Zheng, et al.. (2021). Detection of Antibodies Against the SARS-CoV-2 Spike Protein and Analysis of the Peripheral Blood Mononuclear Cell Transcriptomic Profile, 15 Years After Recovery From SARS. Frontiers in Cellular and Infection Microbiology. 11. 768993–768993. 2 indexed citations
12.
Nam, Sun‐Young, et al.. (2018). Src‐type tyrosine kinase p56lck is critical for thymic stromal lymphopoietin‐induced allergic rhinitis. Clinical & Experimental Allergy. 48(7). 875–889. 11 indexed citations
13.
Han, Na, et al.. (2017). 16SPIP: a comprehensive analysis pipeline for rapid pathogen detection in clinical samples based on 16S metagenomic sequencing. BMC Bioinformatics. 18(S16). 568–568. 58 indexed citations
14.
Jia, Hongbing, Pengcheng Du, Hui Yang, et al.. (2016). Nosocomial transmission of Clostridium difficile ribotype 027 in a Chinese hospital, 2012–2014, traced by whole genome sequencing. BMC Genomics. 17(1). 405–405. 45 indexed citations
15.
Han, Na, et al.. (2016). ANItools web: a web tool for fast genome comparison within multiple bacterial strains. Database. 2016. baw084–baw084. 39 indexed citations
16.
Lai, Jin-long, Qian Fu, Na Han, et al.. (2016). The chemical toxicity of cesium in Indian mustard (Brassica juncea L.) seedlings. Journal of Environmental Radioactivity. 160. 93–101. 14 indexed citations
17.
Han, Na, et al.. (2015). Establishment of double-colored real-time fluorescence PCR methods for detection of foodborne methicillin-resistant Staphylococcus aureus.. Shipin anquan zhiliang jiance xuebao. 6(1). 113–118. 1 indexed citations
18.
Li, Lin, Na Han, Junfeng Lu, et al.. (2012). Genetic Characterization and Transmitted Drug Resistance of the HIV Type 1 Epidemic in Men Who Have Sex with Men in Beijing, China. AIDS Research and Human Retroviruses. 29(3). 633–637. 22 indexed citations
19.
Han, Na & Simon Rayner. (2011). Epidemiology and mutational analysis of global strains of crimean-congo haemorrhagic fever virus. Virologica Sinica. 26(4). 229–244. 19 indexed citations
20.
Wang, Zhe, Liping Yuan, Stephen J. Rossiter, et al.. (2008). Adaptive Evolution of 5'HoxD Genes in the Origin and Diversification of the Cetacean Flipper. Molecular Biology and Evolution. 26(3). 613–622. 39 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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