Minjae Yoo

1.1k total citations · 1 hit paper
14 papers, 634 citations indexed

About

Minjae Yoo is a scholar working on Molecular Biology, Computational Theory and Mathematics and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Minjae Yoo has authored 14 papers receiving a total of 634 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 6 papers in Computational Theory and Mathematics and 5 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Minjae Yoo's work include Computational Drug Discovery Methods (6 papers), Bioinformatics and Genomic Networks (6 papers) and Lung Cancer Treatments and Mutations (5 papers). Minjae Yoo is often cited by papers focused on Computational Drug Discovery Methods (6 papers), Bioinformatics and Genomic Networks (6 papers) and Lung Cancer Treatments and Mutations (5 papers). Minjae Yoo collaborates with scholars based in United States, South Korea and China. Minjae Yoo's co-authors include Aik Choon Tan, Jihye Kim, Jaewoo Kang, Jimin Shin, Karen A. Ryall, Kyubum Lee, Sunwon Lee, Minji Jeon, Andrea E. Doak and Laura Schubert and has published in prestigious journals such as Nucleic Acids Research, Bioinformatics and Scientific Reports.

In The Last Decade

Minjae Yoo

14 papers receiving 630 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.

DSigDB: drug signatures database for gene set analysis

2015 389 citations Minjae Yoo, Jimin Shin et al. Bioinformatics profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Minjae Yoo United States	11	324	135	107	97	96	14	634
Beste Turanlı Türkiye	16	500 1.5×	138 1.0×	107 1.0×	141 1.5×	133 1.4×	33	737
Sunwon Lee South Korea	10	401 1.2×	68 0.5×	55 0.5×	86 0.9×	83 0.9×	22	710
Esra Göv Türkiye	14	536 1.7×	138 1.0×	83 0.8×	175 1.8×	108 1.1×	38	790
Frank S Ong United States	15	274 0.8×	108 0.8×	74 0.7×	62 0.6×	48 0.5×	21	719
Sharon L. Freshour United States	2	339 1.0×	120 0.9×	60 0.6×	103 1.1×	82 0.9×	3	585
Jonathan J Song United States	2	336 1.0×	121 0.9×	58 0.5×	103 1.1×	82 0.9×	6	583
Anders Riutta United States	4	583 1.8×	79 0.6×	73 0.7×	133 1.4×	78 0.8×	6	842
Harikrishna Paik India	10	451 1.4×	95 0.7×	144 1.3×	172 1.8×	132 1.4×	37	788
Yunguan Wang United States	13	426 1.3×	94 0.7×	86 0.8×	78 0.8×	100 1.0×	26	771
Laleh Soltan Ghoraie Canada	9	424 1.3×	103 0.8×	83 0.8×	74 0.8×	208 2.2×	15	662

Countries citing papers authored by Minjae Yoo

Since Specialization

Citations

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

Fields of papers citing papers by Minjae Yoo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Minjae Yoo

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

All Works

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14 of 14 papers shown

Yoo, Minjae, et al.. (2022). Feasibility study of multi-site split learning for privacy-preserving medical systems under data imbalance constraints in COVID-19, X-ray, and cholesterol dataset. Scientific Reports. 12(1). 1534–1534. 23 indexed citations

Schubert, Laura, Anh T. Le, Adriana Estrada‐Bernal, et al.. (2021). Novel Human-Derived RET Fusion NSCLC Cell Lines Have Heterogeneous Responses to RET Inhibitors and Differential Regulation of Downstream Signaling. Molecular Pharmacology. 99(6). 435–447. 6 indexed citations

Yoo, Minjae, et al.. (2021). Secure Aerial Surveillance using Split Learning. 434–437. 7 indexed citations

Yoo, Minjae, Jimin Shin, Hyunmin Kim, et al.. (2018). Exploring the molecular mechanisms of Traditional Chinese Medicine components using gene expression signatures and connectivity map. Computer Methods and Programs in Biomedicine. 174. 33–40. 28 indexed citations

Hintzsche, Jennifer D., Minjae Yoo, Jihye Kim, et al.. (2018). IMPACT web portal: oncology database integrating molecular profiles with actionable therapeutics. BMC Medical Genomics. 11(S2). 26–26. 4 indexed citations

Kim, Jihye, Minjae Yoo, Jimin Shin, et al.. (2018). Systems Pharmacology-Based Approach of Connecting Disease Genes in Genome-Wide Association Studies with Traditional Chinese Medicine. International Journal of Genomics. 2018. 1–11. 10 indexed citations

Le, Anh T., Minjae Yoo, Laura Schubert, et al.. (2017). Resistance to RET-Inhibition in RET-Rearranged NSCLC Is Mediated By Reactivation of RAS/MAPK Signaling. Molecular Cancer Therapeutics. 16(8). 1623–1633. 63 indexed citations

Yue, Zongliang, Qi Zheng, Minjae Yoo, et al.. (2017). PAGER 2.0: an update to the pathway, annotated-list and gene-signature electronic repository for Human Network Biology. Nucleic Acids Research. 46(D1). D668–D676. 15 indexed citations

Yoo, Minjae, et al.. (2016). Big Data Mining and Adverse Event Pattern Analysis in Clinical Drug Trials. Assay and Drug Development Technologies. 14(10). 557–566. 20 indexed citations

10.

Ryall, Karen A., Jihye Kim, Jimin Shin, et al.. (2015). An integrated bioinformatics analysis to dissect kinase dependency in triple negative breast cancer. BMC Genomics. 16(S12). S2–S2. 14 indexed citations

11.

Yoo, Minjae, Jimin Shin, Jihye Kim, et al.. (2015). DSigDB: drug signatures database for gene set analysis. Bioinformatics. 31(18). 3069–3071. 389 indexed citations breakdown →

12.

Ryall, Karen A., Jimin Shin, Minjae Yoo, et al.. (2015). Identifying kinase dependency in cancer cells by integrating high-throughput drug screening and kinase inhibition data. Bioinformatics. 31(23). 3799–3806. 12 indexed citations

13.

Kim, Jihye, Vihas T. Vasu, Rangnath Mishra, et al.. (2014). Bioinformatics-driven discovery of rational combination for overcoming EGFR-mutant lung cancer resistance to EGFR therapy. Bioinformatics. 30(17). 2393–2398. 21 indexed citations

14.

Kim, Jihye, Minjae Yoo, Jaewoo Kang, & Aik Choon Tan. (2013). K-Map: connecting kinases with therapeutics for drug repurposing and development. Human Genomics. 7(1). 20–20. 22 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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