Nayoung Jun

1.2k total citations · 1 hit paper
7 papers, 919 citations indexed

About

Nayoung Jun is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Nayoung Jun has authored 7 papers receiving a total of 919 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 2 papers in Oncology and 2 papers in Cancer Research. Recurrent topics in Nayoung Jun's work include Epigenetics and DNA Methylation (3 papers), Ubiquitin and proteasome pathways (2 papers) and Cancer-related molecular mechanisms research (2 papers). Nayoung Jun is often cited by papers focused on Epigenetics and DNA Methylation (3 papers), Ubiquitin and proteasome pathways (2 papers) and Cancer-related molecular mechanisms research (2 papers). Nayoung Jun collaborates with scholars based in South Korea, United States and China. Nayoung Jun's co-authors include Hyog Young Kwon, Ita Novita Sari, Sanghyun Lee, Lan Thi Phi, Yinggui Yang, Kwang Seock Kim, Yun Kyung Lee, Yoseph Toni Wijaya, Dongjun Jeong and Young Wha Koh and has published in prestigious journals such as Cancer Research, Oncogene and International Journal of Cancer.

In The Last Decade

Nayoung Jun

6 papers receiving 914 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Cancer Stem Cells (CSCs) in Drug Resistance and their Therapeutic Implications in Cancer Treatment

2018 732 citations Lan Thi Phi, Ita Novita Sari et al. Stem Cells International profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Nayoung Jun South Korea	4	607	440	267	92	87	7	919
Sanghyun Lee South Korea	5	610 1.0×	439 1.0×	266 1.0×	92 1.0×	87 1.0×	6	923
Yinggui Yang China	12	690 1.1×	429 1.0×	317 1.2×	119 1.3×	88 1.0×	23	1.1k
Ramesh Butti India	12	545 0.9×	352 0.8×	315 1.2×	90 1.0×	55 0.6×	19	921
Karolina Sterzyńska Poland	18	428 0.7×	325 0.7×	226 0.8×	67 0.7×	101 1.2×	36	811
Monica Cojoc Germany	10	487 0.8×	434 1.0×	330 1.2×	151 1.6×	71 0.8×	11	930
Magali Rebucci France	9	509 0.8×	410 0.9×	312 1.2×	125 1.4×	85 1.0×	11	935
Huizhen Suo Germany	5	398 0.7×	328 0.7×	239 0.9×	79 0.9×	86 1.0×	7	730
Hai Yang Germany	12	509 0.8×	359 0.8×	289 1.1×	79 0.9×	59 0.7×	15	799
Jelena Grahovac Serbia	10	471 0.8×	287 0.7×	227 0.9×	110 1.2×	95 1.1×	21	853
Lia Walcher Germany	5	395 0.7×	317 0.7×	234 0.9×	79 0.9×	70 0.8×	5	717

Countries citing papers authored by Nayoung Jun

Since Specialization

Citations

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

Fields of papers citing papers by Nayoung Jun

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nayoung Jun

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

All Works

Sort: Min cites: Since: Top N: Style:

7 of 7 papers shown

1.

Jun, Nayoung, et al.. (2025). Regulation of metabolic adaptation and leukemia progression by MUSASHI2-DEPTOR-KIF11 axis. Leukemia. 39(12). 2935–2945.

2.

Sari, Ita Novita, Yinggui Yang, Yoseph Toni Wijaya, et al.. (2020). AMD1 is required for the maintenance of leukemic stem cells and promotes chronic myeloid leukemic growth. Oncogene. 40(3). 603–617. 11 indexed citations

3.

Kim, Kwang Seock, Dongjun Jeong, Ita Novita Sari, et al.. (2019). miR551b Regulates Colorectal Cancer Progression by Targeting the ZEB1 Signaling Axis. Cancers. 11(5). 735–735. 3 indexed citations

4.

Jun, Nayoung, et al.. (2019). Abstract 5165: Secreted CCDC80 from hepatic stellate cells promote metastasis of hepatocellular carcinoma. Cancer Research. 79(13_Supplement). 5165–5165. 1 indexed citations

5.

Yang, Yinggui, Young Wha Koh, Ita Novita Sari, et al.. (2018). Interferon‐induced transmembrane protein 1‐mediated EGFR/SOX2 signaling axis is essential for progression of non‐small cell lung cancer. International Journal of Cancer. 144(8). 2020–2032. 21 indexed citations

6.

Phi, Lan Thi, Ita Novita Sari, Yinggui Yang, et al.. (2018). Cancer Stem Cells (CSCs) in Drug Resistance and their Therapeutic Implications in Cancer Treatment. Stem Cells International. 2018. 1–16. 732 indexed citations breakdown →

7.

Sari, Ita Novita, Lan Thi Phi, Nayoung Jun, et al.. (2018). Hedgehog Signaling in Cancer: A Prospective Therapeutic Target for Eradicating Cancer Stem Cells. Cells. 7(11). 208–208. 151 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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