Hye Na Kim

736 total citations
20 papers, 307 citations indexed

About

Hye Na Kim is a scholar working on Hematology, Molecular Biology and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Hye Na Kim has authored 20 papers receiving a total of 307 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Hematology, 8 papers in Molecular Biology and 6 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Hye Na Kim's work include Acute Myeloid Leukemia Research (7 papers), Acute Lymphoblastic Leukemia research (6 papers) and Chronic Myeloid Leukemia Treatments (4 papers). Hye Na Kim is often cited by papers focused on Acute Myeloid Leukemia Research (7 papers), Acute Lymphoblastic Leukemia research (6 papers) and Chronic Myeloid Leukemia Treatments (4 papers). Hye Na Kim collaborates with scholars based in United States, China and Germany. Hye Na Kim's co-authors include Yong‐Mi Kim, Eun Ji Gang, Heather Ogana, Yongsheng Ruan, Cydney Nichols, Sajad Khazal, Rachel Lee, Hisham Abdel‐Azim, Deepa Bhojwani and Hsiao‐Chuan Liu and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Oncology.

In The Last Decade

Hye Na Kim

18 papers receiving 303 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hye Na Kim United States 8 119 107 94 75 36 20 307
Yücel Erbilgin Türkiye 8 170 1.4× 82 0.8× 65 0.7× 40 0.5× 37 1.0× 25 263
Heather Ogana United States 7 66 0.6× 87 0.8× 60 0.6× 66 0.9× 17 0.5× 16 204
Sue Colman United Kingdom 5 149 1.3× 191 1.8× 181 1.9× 111 1.5× 57 1.6× 6 395
Jennifer Richmond Australia 7 137 1.2× 140 1.3× 176 1.9× 101 1.3× 33 0.9× 12 334
Klaudia Hettinger Austria 5 139 1.2× 55 0.5× 69 0.7× 54 0.7× 17 0.5× 7 246
Gina Kirsammer United States 8 237 2.0× 129 1.2× 98 1.0× 84 1.1× 38 1.1× 8 385
Shaowei Qiu China 10 180 1.5× 184 1.7× 44 0.5× 71 0.9× 53 1.5× 67 344
Mariana L. Oliveira Portugal 8 131 1.1× 59 0.6× 91 1.0× 78 1.0× 17 0.5× 10 292
Annegret Rosemann Germany 6 104 0.9× 198 1.9× 174 1.9× 151 2.0× 33 0.9× 6 379
Barbara Szymanska Australia 6 306 2.6× 125 1.2× 155 1.6× 140 1.9× 35 1.0× 7 499

Countries citing papers authored by Hye Na Kim

Since Specialization
Citations

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

Fields of papers citing papers by Hye Na Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hye Na Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Hye Na Kim. A scholar is included among the top collaborators of Hye Na Kim 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 Hye Na Kim. Hye Na Kim 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.
Wilkes, Mark C., Y. Lucy Liu, Hye Na Kim, et al.. (2024). Activation of nemo-like kinase in diamond blackfan anemia suppresses early erythropoiesis by preventing mitochondrial biogenesis. Journal of Biological Chemistry. 300(8). 107542–107542. 1 indexed citations
3.
Ogana, Heather, et al.. (2023). Altered physical phenotypes of leukemia cells that survive chemotherapy treatment. Integrative Biology. 15. 3 indexed citations
4.
Ogana, Heather, Zesheng Wan, Hye Na Kim, et al.. (2022). The Role of Integrin Beta-1 in the Chemoresistance of Acute Myeloid Leukemia. Blood. 140(Supplement 1). 8799–8800. 1 indexed citations
5.
Kim, Hye Na, et al.. (2022). PI3K Targeting in Non-solid Cancer. Current topics in microbiology and immunology. 436. 393–407. 4 indexed citations
6.
Schönthal, Axel H., Steve Swenson, Hye Na Kim, et al.. (2021). Potentially Curative Therapeutic Activity of NEO212, a Perillyl Alcohol-Temozolomide Conjugate, in Preclinical Cytarabine-Resistant Models of Acute Myeloid Leukemia. Cancers. 13(14). 3385–3385. 3 indexed citations
7.
Ruan, Yongsheng, Hye Na Kim, Heather Ogana, et al.. (2021). Preclinical Evaluation of a Novel Dual Targeting PI3Kδ/BRD4 Inhibitor, SF2535, in B-Cell Acute Lymphoblastic Leukemia. Frontiers in Oncology. 11. 766888–766888. 2 indexed citations
8.
Kim, Hye Na, Yongsheng Ruan, Heather Ogana, et al.. (2020). Minimal Residual Disease Detection in Acute Lymphoblastic Leukemia. International Journal of Molecular Sciences. 21(3). 1054–1054. 80 indexed citations
9.
10.
Kim, Hye Na, Yongsheng Ruan, Heather Ogana, & Yong‐Mi Kim. (2020). Cadherins, Selectins, and Integrins in CAM-DR in Leukemia. Frontiers in Oncology. 10. 592733–592733. 35 indexed citations
11.
Ruan, Yongsheng, Hye Na Kim, Heather Ogana, & Yong‐Mi Kim. (2020). Wnt Signaling in Leukemia and Its Bone Marrow Microenvironment. International Journal of Molecular Sciences. 21(17). 6247–6247. 24 indexed citations
12.
Nichols, Cydney, et al.. (2019). Targeting PI3K Signaling in Acute Lymphoblastic Leukemia. International Journal of Molecular Sciences. 20(2). 412–412. 62 indexed citations
13.
Liu, Hsiao‐Chuan, Eun Ji Gang, Hye Na Kim, et al.. (2019). Integrin Antibody Decreases Deformability of Patient‐Derived Pre‐B Acute Lymphocytic Leukemia Cells as Measured by High‐Frequency Acoustic Tweezers. Journal of Ultrasound in Medicine. 39(3). 589–595. 5 indexed citations
14.
Poulard, Coralie, Hye Na Kim, Mimi Fang, et al.. (2019). Relapse-associated AURKB blunts the glucocorticoid sensitivity of B cell acute lymphoblastic leukemia. Proceedings of the National Academy of Sciences. 116(8). 3052–3061. 31 indexed citations
15.
Liu, Hsiao‐Chuan, Eun Ji Gang, Hye Na Kim, et al.. (2018). Characterizing Deformability of Drug Resistant Patient-Derived Acute Lymphoblastic Leukemia (ALL) Cells Using Acoustic Tweezers. Scientific Reports. 8(1). 15708–15708. 22 indexed citations
16.
Kim, Hye Na, et al.. (2018). Dual Targeting of PI3Kdelta and BRD4 Sensitizes Acute Lymphoblastic Leukemia to Chemotherapy. Blood. 132(Supplement 1). 1420–1420. 2 indexed citations
17.
Fousek, Kristen, Junji Watanabe, Xingyue An, et al.. (2018). Targeting CD19-negative relapsed B-acute lymphoblastic leukemia using trivalent CAR T cells.. Journal of Clinical Oncology. 36(5_suppl). 121–121. 7 indexed citations
18.
Kim, Hye Na, Eun Ji Gang, Sajad Khazal, et al.. (2017). The PI3Kδ Inhibitor Idelalisib Inhibits Homing in an in Vitro and in Vivo Model of B ALL. Cancers. 9(9). 121–121. 13 indexed citations
19.
Duchartre, Yann, Hye Na Kim, Eun Ji Gang, et al.. (2017). Effects of CD49d-targeted antisense-oligonucleotide on α4 integrin expression and function of acute lymphoblastic leukemia cells: Results of in vitro and in vivo studies. PLoS ONE. 12(11). e0187684–e0187684. 8 indexed citations
20.
Hsieh, Yao‐Te, Hye Na Kim, Yann Duchartre, et al.. (2015). Overcoming Drug Resistance of Pre-B ALL Cells By Targeting Integrin alpha6 Associated Cell-Adhesion Mediated Drug Resistance Using a Novel Antibody, P5G10. Blood. 126(23). 2525–2525. 3 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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