Hee-Jun Na

1.2k total citations
11 papers, 951 citations indexed

About

Hee-Jun Na is a scholar working on Molecular Biology, Cancer Research and Epidemiology. According to data from OpenAlex, Hee-Jun Na has authored 11 papers receiving a total of 951 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 3 papers in Cancer Research and 2 papers in Epidemiology. Recurrent topics in Hee-Jun Na's work include Pluripotent Stem Cells Research (2 papers), Autophagy in Disease and Therapy (2 papers) and Glycosylation and Glycoproteins Research (1 paper). Hee-Jun Na is often cited by papers focused on Pluripotent Stem Cells Research (2 papers), Autophagy in Disease and Therapy (2 papers) and Glycosylation and Glycoproteins Research (1 paper). Hee-Jun Na collaborates with scholars based in South Korea, United States and China. Hee-Jun Na's co-authors include Seon‐Jin Lee, Mary E. Choi, Sung Il Kim, Yan Ding, Zhibo Wang, Jin Kuk Kim, Sukmook Lee, Deok-Hoon Kong, Ji Young Jang and Mi Kyung Kim and has published in prestigious journals such as Journal of Biological Chemistry, Biomaterials and Cell Metabolism.

In The Last Decade

Hee-Jun Na

11 papers receiving 942 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Hee-Jun Na South Korea	10	475	201	134	118	94	11	951
Mei Han China	16	404 0.9×	89 0.4×	162 1.2×	73 0.6×	67 0.7×	30	964
Alessia Gozzini Italy	17	259 0.5×	142 0.7×	43 0.3×	58 0.5×	53 0.6×	34	833
Marilena Formato Italy	20	304 0.6×	118 0.6×	146 1.1×	151 1.3×	34 0.4×	59	1.1k
Saiko Kazuno Japan	16	378 0.8×	90 0.4×	152 1.1×	46 0.4×	26 0.3×	43	771
Xiaohong Yang China	17	610 1.3×	90 0.4×	119 0.9×	183 1.6×	26 0.3×	56	1.1k
Yanjiao Wang China	15	677 1.4×	276 1.4×	148 1.1×	306 2.6×	17 0.2×	29	1.2k
Constance E. Runyan United States	14	633 1.3×	40 0.2×	65 0.5×	115 1.0×	61 0.6×	18	1.1k
Xing Luo China	22	508 1.1×	87 0.4×	233 1.7×	146 1.2×	21 0.2×	48	1.1k

Countries citing papers authored by Hee-Jun Na

Since Specialization

Citations

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

Fields of papers citing papers by Hee-Jun Na

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hee-Jun Na

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

All Works

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11 of 11 papers shown

Park, Kyung‐Mee, Lina Yu, Ho‐Hyun Kwak, et al.. (2018). Necroptosis Is a Mechanism of Death in Mouse Induced Hepatocyte-Like Cells Reprogrammed from Mouse Embryonic Fibroblasts.. PubMed. 41(7). 639–645. 2 indexed citations

Kim, Mi Ra, Hee-Jun Na, Hyun Jung Kim, et al.. (2018). Inhibition of VEGF‐dependent angiogenesis and tumor angiogenesis by an optimized antibody targeting CLEC14a. Molecular Oncology. 12(3). 356–372. 31 indexed citations

Kong, Deok-Hoon, Mi Kyung Kim, Ji Young Jang, Hee-Jun Na, & Sukmook Lee. (2017). A Review of Anti-Angiogenic Targets for Monoclonal Antibody Cancer Therapy. International Journal of Molecular Sciences. 18(8). 1786–1786. 125 indexed citations

Son, Mi‐Young, Binna Seol, Mi‐Ok Lee, et al.. (2016). Biomarker Discovery by Modeling Behçet's Disease with Patient-Specific Human Induced Pluripotent Stem Cells. Stem Cells and Development. 26(2). 133–145. 18 indexed citations

Park, Young‐Jun, Sung‐Jin Yoon, Hyun‐Woo Suh, et al.. (2013). TXNIP Deficiency Exacerbates Endotoxic Shock via the Induction of Excessive Nitric Oxide Synthesis. PLoS Pathogens. 9(10). e1003646–e1003646. 55 indexed citations

Na, Hee-Jun, Dong‐Seol Lee, Soon Chul Heo, et al.. (2013). Endothelial progenitor cells from human dental pulp-derived iPS cells as a therapeutic target for ischemic vascular diseases. Biomaterials. 34(33). 8149–8160. 45 indexed citations

Jung, Haiyoung, Mi Jeong Kim, Dong Oh Kim, et al.. (2013). TXNIP Maintains the Hematopoietic Cell Pool by Switching the Function of p53 under Oxidative Stress. Cell Metabolism. 18(1). 75–85. 97 indexed citations

Kim, Sung Il, Hee-Jun Na, Yan Ding, et al.. (2012). Autophagy Promotes Intracellular Degradation of Type I Collagen Induced by Transforming Growth Factor (TGF)-β1. Journal of Biological Chemistry. 287(15). 11677–11688. 191 indexed citations

Ding, Yan, Jin Kuk Kim, Sung Il Kim, et al.. (2010). TGF-β1 Protects against Mesangial Cell Apoptosis via Induction of Autophagy. Journal of Biological Chemistry. 285(48). 37909–37919. 118 indexed citations

10.

Kim, Sung Il, Joon Hyeok Kwak, Hee-Jun Na, et al.. (2009). Transforming Growth Factor-β (TGF-β1) Activates TAK1 via TAB1-mediated Autophosphorylation, Independent of TGF-β Receptor Kinase Activity in Mesangial Cells. Journal of Biological Chemistry. 284(33). 22285–22296. 69 indexed citations

11.

Lee, Seon‐Jin, Kwang‐Soon Lee, Seung Namkoong, et al.. (2003). Astaxanthin Inhibits Nitric Oxide Production and Inflammatory Gene Expression by Suppressing IκB Kinase-dependent NF-κB Activation. Molecules and Cells. 16(1). 97–105. 200 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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