Hana Na

838 total citations
25 papers, 670 citations indexed

About

Hana Na is a scholar working on Physiology, Atmospheric Science and Surgery. According to data from OpenAlex, Hana Na has authored 25 papers receiving a total of 670 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Physiology, 5 papers in Atmospheric Science and 4 papers in Surgery. Recurrent topics in Hana Na's work include Alzheimer's disease research and treatments (7 papers), Tropical and Extratropical Cyclones Research (5 papers) and Neuroinflammation and Neurodegeneration Mechanisms (4 papers). Hana Na is often cited by papers focused on Alzheimer's disease research and treatments (7 papers), Tropical and Extratropical Cyclones Research (5 papers) and Neuroinflammation and Neurodegeneration Mechanisms (4 papers). Hana Na collaborates with scholars based in United States, China and South Korea. Hana Na's co-authors include George Coukos, Dionyssios Katsaros, Lin Zhang, Alisha Mohamed-Hadley, José R. Conejo-García, David O. Holtz, Eugene Kang, Fabián Benencia, Ronald J. Buckanovich and Daniel S. Wagner and has published in prestigious journals such as Nature Medicine, PLoS ONE and Neurology.

In The Last Decade

Hana Na

22 papers receiving 645 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Hana Na United States 12 243 193 138 119 109 25 670
Ailiang Zhang China 18 335 1.4× 313 1.6× 73 0.5× 85 0.7× 138 1.3× 29 906
Vicky L. Morrison United Kingdom 14 444 1.8× 394 2.0× 108 0.8× 134 1.1× 132 1.2× 20 1.1k
Fabio D’Amico Italy 17 244 1.0× 254 1.3× 132 1.0× 35 0.3× 52 0.5× 40 762
Kenji Ando Japan 13 182 0.7× 189 1.0× 106 0.8× 179 1.5× 28 0.3× 55 775
Ingrid Slaba Canada 3 605 2.5× 365 1.9× 62 0.4× 108 0.9× 53 0.5× 3 1.0k
Lorenzo Bonaguro Germany 8 394 1.6× 221 1.1× 104 0.8× 49 0.4× 63 0.6× 16 848
Amarjit Mishra United States 15 172 0.7× 209 1.1× 51 0.4× 57 0.5× 86 0.8× 35 592
Marı́a-Luisa Gaspar Spain 21 471 1.9× 395 2.0× 108 0.8× 119 1.0× 42 0.4× 53 1.2k
Xuyan Yang China 12 359 1.5× 274 1.4× 66 0.5× 38 0.3× 55 0.5× 28 713
Danforth A. Newton United States 15 134 0.6× 179 0.9× 33 0.2× 68 0.6× 92 0.8× 38 675

Countries citing papers authored by Hana Na

Since Specialization
Citations

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

Fields of papers citing papers by Hana Na

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hana Na

This figure shows the co-authorship network connecting the top 25 collaborators of Hana Na. A scholar is included among the top collaborators of Hana Na 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 Hana Na. Hana Na 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.
Na, Hana, Zhengrong Zhang, Qini Gan, et al.. (2023). Peripheral apolipoprotein E proteins and their binding to LRP1 antagonize Alzheimer’s disease pathogenesis in the brain during peripheral chronic inflammation. Neurobiology of Aging. 127. 54–69. 11 indexed citations
2.
3.
Na, Hana & Woo‐Sik Jung. (2021). A Study on Improving the Prediction Accuracy of a Typhoon Disaster Prevention Model Part III: Sensitivity of the WRF Model to Soil Data. Journal of Korean Society for Atmospheric Environment. 37(2). 248–262. 4 indexed citations
4.
Zhang, Zhengrong, Hana Na, Qini Gan, et al.. (2021). Monomeric C‐reactive protein via endothelial CD31 for neurovascular inflammation in an ApoE genotype‐dependent pattern: A risk factor for Alzheimer’s disease?. Aging Cell. 20(11). e13501–e13501. 31 indexed citations
5.
Na, Hana, et al.. (2021). Oral Amylin Treatment Reduces the Pathological Cascade of Alzheimer’s Disease in a Mouse Model. American Journal of Alzheimer s Disease & Other Dementias®. 36. 230372099–230372099. 5 indexed citations
6.
Na, Hana, et al.. (2020). Characterization of the effects of calcitonin gene-related peptide receptor antagonist for Alzheimer's disease. Neuropharmacology. 168. 108017–108017. 18 indexed citations
7.
Kim, Jihye, Hana Na, Jung‐Ae Kim, & Jae‐Hwan Nam. (2020). What we know and what we need to know about adenovirus 36-induced obesity. International Journal of Obesity. 44(6). 1197–1209. 13 indexed citations
8.
Na, Hana & Woo‐Sik Jung. (2020). A Study on Improving the Prediction Accuracy of a Typhoon Disaster Prevention Model Part II: Sensitivity of the WRF Model to GDAPS, RDAPS, GFS Data. Journal of Korean Society for Atmospheric Environment. 36(4). 522–532. 5 indexed citations
9.
10.
Na, Hana, et al.. (2019). Prototype Development for Optimization Technique of 3D Visualization of Atmospheric Environmental Information. Journal of Environmental Science International. 28(11). 1047–1059.
11.
Na, Hana & Woo‐Sik Jung. (2019). Assessment of the Suitability of the Typhoon Disaster Prevention Model according to the Typhoon Maximum Wind Speed Radius and Surface Roughness Length. Journal of Korean Society for Atmospheric Environment. 35(2). 172–183. 3 indexed citations
12.
Na, Hana, et al.. (2019). A Study on the Characteristics of Maximum Wind Speed Distributions by Typhoon Track in the Korean Peninsula. Journal of Korean Society for Atmospheric Environment. 35(1). 36–48. 6 indexed citations
13.
Na, Hana, Jong‐Kil Park, & Woo‐Sik Jung. (2018). Building Baseline Data for a Typhoon Protection System via Calculation of the Extreme Wind Speed During a Typhoon. Journal of Environmental Science International. 27(3). 203–217. 4 indexed citations
14.
Bailey, Mai A., Hana Na, Malcolm S. Duthie, et al.. (2017). Nitazoxanide is active against Mycobacterium leprae. PLoS ONE. 12(8). e0184107–e0184107. 13 indexed citations
15.
Zhu, Haihao, Xiehua Xue, Erming Wang, et al.. (2017). Amylin receptor ligands reduce the pathological cascade of Alzheimer's disease. Neuropharmacology. 119. 170–181. 40 indexed citations
16.
Steehler, Matthew K., et al.. (2013). Teaching and assessing endoscopic sinus surgery skills on a validated low‐cost task trainer. The Laryngoscope. 123(4). 841–844. 29 indexed citations
17.
Steehler, Matthew K., et al.. (2011). Face, Content, and Construct Validity of a Low‐Cost Sinus Surgery Task Trainer. Otolaryngology. 146(3). 504–509. 31 indexed citations
18.
Na, Hana, Shengfeng Qin, & David Wright. (2010). Detecting Fall Risk Factors for Toddlers. IEEE Pervasive Computing. 10(1). 82–89. 3 indexed citations
19.
Na, Hana, Shengfeng Qin, & David Wright. (2007). Vision-Based Toddler Tracking at Home. Brunel University Research Archive (BURA) (Brunel University London). 1. 375–382. 2 indexed citations
20.
Conejo-García, José R., Fabián Benencia, Eugene Kang, et al.. (2004). Tumor-infiltrating dendritic cell precursors recruited by a β-defensin contribute to vasculogenesis under the influence of Vegf-A. Nature Medicine. 10(9). 950–958. 365 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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