Young-Ji Na

745 total citations
5 papers, 220 citations indexed

About

Young-Ji Na is a scholar working on Molecular Biology, Genetics and Clinical Biochemistry. According to data from OpenAlex, Young-Ji Na has authored 5 papers receiving a total of 220 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 1 paper in Genetics and 1 paper in Clinical Biochemistry. Recurrent topics in Young-Ji Na's work include Extracellular vesicles in disease (1 paper), Mitochondrial Function and Pathology (1 paper) and Pain Mechanisms and Treatments (1 paper). Young-Ji Na is often cited by papers focused on Extracellular vesicles in disease (1 paper), Mitochondrial Function and Pathology (1 paper) and Pain Mechanisms and Treatments (1 paper). Young-Ji Na collaborates with scholars based in United States, South Korea and Israel. Young-Ji Na's co-authors include Junhyong Kim, Jina Ko, Stephanie S. Yee, David Issadore, Ben Z. Stanger, Neha Bhagwat, Taylor A. Black, Erica L. Carpenter, Bao‐Chun Jiang and Seog Bae Oh and has published in prestigious journals such as Cancer Research, Pain and Cell Reports.

In The Last Decade

Young-Ji Na

5 papers receiving 216 citations

Peers

Young-Ji Na
Hyemi Shin South Korea
Chan-Ju Lee South Korea
Brynn H. Cardozo United States
Anjana Patel United Kingdom
Hyemi Shin South Korea
Young-Ji Na
Citations per year, relative to Young-Ji Na Young-Ji Na (= 1×) peers Hyemi Shin

Countries citing papers authored by Young-Ji Na

Since Specialization
Citations

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

Fields of papers citing papers by Young-Ji Na

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Young-Ji Na

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

All Works

5 of 5 papers shown
1.
Ko, Jina, Neha Bhagwat, Taylor A. Black, et al.. (2018). miRNA Profiling of Magnetic Nanopore–Isolated Extracellular Vesicles for the Diagnosis of Pancreatic Cancer. Cancer Research. 78(13). 3688–3697. 70 indexed citations
2.
Morris, Jacqueline, Young-Ji Na, Hua Zhu, et al.. (2017). Pervasive within-Mitochondrion Single-Nucleotide Variant Heteroplasmy as Revealed by Single-Mitochondrion Sequencing. Cell Reports. 21(10). 2706–2713. 40 indexed citations
3.
Jeong, Hee-Jin, Young-Ji Na, Kihwan Lee, et al.. (2016). High-resolution transcriptome analysis reveals neuropathic pain gene-expression signatures in spinal microglia after nerve injury. Pain. 157(4). 964–976. 45 indexed citations
4.
Bang, So‐Young, Young-Ji Na, Kwang-Woo Kim, et al.. (2014). Targeted exon sequencing fails to identify rare coding variants with large effect in rheumatoid arthritis. Arthritis Research & Therapy. 16(5). 447–447. 19 indexed citations
5.
Jin, Young-Woo, Young-Ji Na, Young-Ju Lee, et al.. (2008). Comprehensive analysis of time- and dose-dependent patterns of gene expression in a human mesenchymal stem cell line exposed to low-dose ionizing radiation. Oncology Reports. 19(1). 135–44. 46 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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