Deukchae Na

442 total citations
11 papers, 136 citations indexed

About

Deukchae Na is a scholar working on Oncology, Cancer Research and Molecular Biology. According to data from OpenAlex, Deukchae Na has authored 11 papers receiving a total of 136 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Oncology, 4 papers in Cancer Research and 3 papers in Molecular Biology. Recurrent topics in Deukchae Na's work include Cancer Genomics and Diagnostics (4 papers), Cancer Cells and Metastasis (3 papers) and CRISPR and Genetic Engineering (2 papers). Deukchae Na is often cited by papers focused on Cancer Genomics and Diagnostics (4 papers), Cancer Cells and Metastasis (3 papers) and CRISPR and Genetic Engineering (2 papers). Deukchae Na collaborates with scholars based in South Korea, United States and Puerto Rico. Deukchae Na's co-authors include Charles Lee, Sung‐Yup Cho, Bum‐Sup Jang, In Ah Kim, Seoyeon Min, Ahra Lee, Jong‐Il Kim, Hyeong‐Gon Moon, Wonyoung Kang and Jinjoo Kang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Oncogene and Clinical Cancer Research.

In The Last Decade

Deukchae Na

11 papers receiving 135 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Deukchae Na South Korea 7 70 67 43 20 17 11 136
Diana Restifo United States 4 89 1.3× 59 0.9× 56 1.3× 20 1.0× 14 0.8× 8 154
Laura Battista Switzerland 5 61 0.9× 78 1.2× 47 1.1× 14 0.7× 12 0.7× 10 159
Célia Cintas France 4 81 1.2× 114 1.7× 40 0.9× 17 0.8× 23 1.4× 5 168
Ragna S. Häussler Sweden 3 107 1.5× 70 1.0× 31 0.7× 15 0.8× 11 0.6× 3 156
Keira Pereira Canada 3 77 1.1× 66 1.0× 53 1.2× 22 1.1× 12 0.7× 4 132
Nirakar Rajbhandari United States 4 83 1.2× 119 1.8× 59 1.4× 15 0.8× 25 1.5× 8 176
Sven Beyes Germany 6 116 1.7× 52 0.8× 47 1.1× 14 0.7× 9 0.5× 7 157
Sina Hossaini United Kingdom 4 87 1.2× 99 1.5× 30 0.7× 16 0.8× 5 0.3× 8 175
Pierre Foidart Belgium 6 56 0.8× 56 0.8× 37 0.9× 33 1.6× 20 1.2× 7 123
Vera M. Todd United States 4 38 0.5× 51 0.8× 32 0.7× 13 0.7× 12 0.7× 4 90

Countries citing papers authored by Deukchae Na

Since Specialization
Citations

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

Fields of papers citing papers by Deukchae Na

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Deukchae Na

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

All Works

11 of 11 papers shown
1.
Choi, Yoo‐mi, Deukchae Na, Jisoo Kim, et al.. (2025). Prediction of Patient Drug Response via 3D Bioprinted Gastric Cancer Model Utilized Patient‐Derived Tissue Laden Tissue‐Specific Bioink. Advanced Science. 12(10). e2411769–e2411769. 7 indexed citations
2.
Lee, Eun-Shin, Deukchae Na, Wonyoung Kang, et al.. (2022). An integrative approach for exploring the nature of fibroepithelial neoplasms. British Journal of Cancer. 128(4). 626–637. 5 indexed citations
4.
Jung, Hae Rim, Yumi Oh, Deukchae Na, et al.. (2021). CRISPR screens identify a novel combination treatment targeting BCL-XL and WNT signaling for KRAS/BRAF-mutated colorectal cancers. Oncogene. 40(18). 3287–3302. 21 indexed citations
5.
Han, Jongmin, Wonyoung Kang, Kyu Jin Lee, et al.. (2021). JAK2 regulates paclitaxel resistance in triple negative breast cancers. Journal of Molecular Medicine. 99(12). 1783–1795. 26 indexed citations
6.
Kim, Seongyeong, Ahrum Min, Minjung Kim, et al.. (2021). Genomic profile of metastatic breast cancer patient-derived xenografts established using percutaneous biopsy. Journal of Translational Medicine. 19(1). 7–7. 3 indexed citations
7.
Na, Deukchae & Hyeong‐Gon Moon. (2021). Patient-Derived Xenograft Models in Breast Cancer Research. Advances in experimental medicine and biology. 1187. 283–301. 5 indexed citations
9.
Cho, Sung‐Yup, Yukyung Jun, Deukchae Na, et al.. (2020). Genome‐scale CRISPR screening identifies cell cycle and protein ubiquitination processes as druggable targets for erlotinib‐resistant lung cancer. Molecular Oncology. 15(2). 487–502. 20 indexed citations
10.
Cho, Sung‐Yup, Jeesoo Chae, Deukchae Na, et al.. (2019). Unstable Genome and Transcriptome Dynamics during Tumor Metastasis Contribute to Therapeutic Heterogeneity in Colorectal Cancers. Clinical Cancer Research. 25(9). 2821–2834. 13 indexed citations
11.
Cho, Sung‐Yup, Jee Yun Han, Deukchae Na, et al.. (2017). A Novel Combination Treatment Targeting BCL-XL and MCL1 for KRAS/BRAF -mutated and BCL2L1 -amplified Colorectal Cancers. Molecular Cancer Therapeutics. 16(10). 2178–2190. 12 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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