Doo‐Yi Oh

1.5k total citations
43 papers, 1.1k citations indexed

About

Doo‐Yi Oh is a scholar working on Molecular Biology, Sensory Systems and Oncology. According to data from OpenAlex, Doo‐Yi Oh has authored 43 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Molecular Biology, 13 papers in Sensory Systems and 8 papers in Oncology. Recurrent topics in Doo‐Yi Oh's work include Hearing, Cochlea, Tinnitus, Genetics (13 papers), RNA and protein synthesis mechanisms (4 papers) and Lung Cancer Treatments and Mutations (4 papers). Doo‐Yi Oh is often cited by papers focused on Hearing, Cochlea, Tinnitus, Genetics (13 papers), RNA and protein synthesis mechanisms (4 papers) and Lung Cancer Treatments and Mutations (4 papers). Doo‐Yi Oh collaborates with scholars based in South Korea, United States and Puerto Rico. Doo‐Yi Oh's co-authors include Carol J. Thiele, Zhihui Liu, Byung Yoon Choi, Jin Hee Han, Seungmin Lee, Yoon‐La Choi, Sang‐Yeon Lee, Joong‐Soo Han, Woong‐Yang Park and Seung Ha Oh and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Clinical Oncology and Cancer.

In The Last Decade

Doo‐Yi Oh

43 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Doo‐Yi Oh South Korea 19 504 263 198 180 170 43 1.1k
Scott M. Haake United States 16 508 1.0× 232 0.9× 197 1.0× 299 1.7× 352 2.1× 26 1.0k
Stephen Leong United States 10 730 1.4× 595 2.3× 46 0.2× 160 0.9× 313 1.8× 28 1.4k
Donatella Malanga Italy 20 731 1.5× 433 1.6× 53 0.3× 290 1.6× 234 1.4× 45 1.3k
Jishuai Zhang China 23 889 1.8× 392 1.5× 63 0.3× 195 1.1× 106 0.6× 50 1.4k
Tiziana Vaisitti Italy 30 960 1.9× 776 3.0× 139 0.7× 159 0.9× 112 0.7× 87 3.2k
Qinchuan Wang China 22 757 1.5× 266 1.0× 39 0.2× 288 1.6× 156 0.9× 50 1.3k
Sharmila Patel United States 13 609 1.2× 216 0.8× 34 0.2× 135 0.8× 75 0.4× 23 1.3k
Zhiqiang Chen China 21 1.3k 2.6× 215 0.8× 38 0.2× 999 5.5× 128 0.8× 65 1.7k
Isabel Barragán Spain 21 990 2.0× 166 0.6× 36 0.2× 198 1.1× 92 0.5× 49 1.3k
Rajender Nandigama Germany 12 426 0.8× 500 1.9× 96 0.5× 193 1.1× 201 1.2× 21 1.3k

Countries citing papers authored by Doo‐Yi Oh

Since Specialization
Citations

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

Fields of papers citing papers by Doo‐Yi Oh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Doo‐Yi Oh. 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 Doo‐Yi Oh. The network helps show where Doo‐Yi Oh may publish in the future.

Co-authorship network of co-authors of Doo‐Yi Oh

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

All Works

20 of 20 papers shown
1.
Kim, Myung Soo, et al.. (2022). 916P Deep learning-based multimodal ensemble algorithm for multi-cancer detection and classification using cf-WGS. Annals of Oncology. 33. S965–S966. 1 indexed citations
2.
Lee, Mi‐Sook, Jiyoung Song, Doo‐Yi Oh, et al.. (2022). Cancer-Specific Sequences in the Diagnosis and Treatment of NUT Carcinoma. Cancer Research and Treatment. 55(2). 452–467. 3 indexed citations
3.
Lee, Mi‐Sook, Kyungsoo Jung, Jiyoung Song, et al.. (2020). IRS2 Amplification as a Predictive Biomarker in Response to Ceritinib in Small Cell Lung Cancer. Molecular Therapy — Oncolytics. 16. 188–196. 5 indexed citations
4.
Lee, Sang‐Yeon, Kwangsic Joo, Jin Hee Han, et al.. (2019). Severe or Profound Sensorineural Hearing Loss Caused by Novel <i>USH2A</i> Variants in Korea: Potential Genotype-Phenotype Correlation. Clinical and Experimental Otorhinolaryngology. 13(2). 113–122. 33 indexed citations
5.
Jang, Jeong Hun, Jin Hee Han, Bong Jik Kim, et al.. (2019). Identification of a Novel Frameshift Variant of POU3F4 and Genetic Counseling of Korean Incomplete Partition Type III Subjects Based on Detailed Genotypes. Genetic Testing and Molecular Biomarkers. 23(6). 423–427. 5 indexed citations
6.
Chang, Mun Young, Soyeon Ahn, Min Young Kim, et al.. (2018). One-step noninvasive prenatal testing (NIPT) for autosomal recessive homozygous point mutations using digital PCR. Scientific Reports. 8(1). 2877–2877. 27 indexed citations
7.
Lee, Geun Dong, Seung Eun Lee, Doo‐Yi Oh, et al.. (2017). MET Exon 14 Skipping Mutations in Lung Adenocarcinoma: Clinicopathologic Implications and Prognostic Values. Journal of Thoracic Oncology. 12(8). 1233–1246. 71 indexed citations
8.
Oh, Doo‐Yi, Seungmin Lee, Chung Lee, et al.. (2017). ATP1A3 mutations can cause progressive auditory neuropathy: a new gene of auditory synaptopathy. Scientific Reports. 7(1). 16504–16504. 43 indexed citations
9.
Lee, Mi‐Sook, Yu Jin Kim, Doo‐Yi Oh, et al.. (2017). Prevalence of Mutations in Discoidin Domain-Containing Receptor Tyrosine Kinase 2 (DDR2) in Squamous Cell Lung Cancers in Korean Patients. Cancer Research and Treatment. 49(4). 1065–1076. 13 indexed citations
10.
Cho, Young‐Jae, William C. Cho, Ji Eun Hong, et al.. (2017). Patient-Derived Xenograft Models of Epithelial Ovarian Cancer for Preclinical Studies. Cancer Research and Treatment. 49(4). 915–926. 56 indexed citations
11.
Oh, Doo‐Yi, Kyungsoo Jung, Jiyoung Song, et al.. (2017). Precision medicine approaches to lung adenocarcinoma with concomitant MET and HER2 amplification. BMC Cancer. 17(1). 535–535. 4 indexed citations
12.
Yang, Lixing, Mi-Sook Lee, Hengyu Lu, et al.. (2016). Analyzing Somatic Genome Rearrangements in Human Cancers by Using Whole-Exome Sequencing. The American Journal of Human Genetics. 98(5). 843–856. 29 indexed citations
13.
Liu, Zhihui, et al.. (2013). MYCN and the epigenome. Frontiers in Oncology. 3. 1–1. 295 indexed citations
14.
Li, Zhijie, Doo‐Yi Oh, Katsuya Nakamura, & Carol J. Thiele. (2011). Perifosine‐induced inhibition of akt attenuates brain‐derived neurotrophic factor/TrkB‐induced chemoresistance in neuroblastoma in vivo. Cancer. 117(23). 5412–5422. 42 indexed citations
15.
Park, Chong J., Jung‐Eun Park, Tatiana Karpova, et al.. (2008). Requirement for the Budding Yeast Polo Kinase Cdc5 in Proper Microtubule Growth and Dynamics. Eukaryotic Cell. 7(3). 444–453. 33 indexed citations
16.
Oh, Doo‐Yi, Ju Hwan Cho, Shin‐Young Park, et al.. (2008). A novel role of hippocalcin in bFGF‐induced neurite outgrowth of H19‐7 cells. Journal of Neuroscience Research. 86(7). 1557–1565. 15 indexed citations
17.
Oh, Kyoung‐Jin, Doo‐Yi Oh, Sang‐Chul Kim, et al.. (2007). Role of phospholipase D2 in anti‐apoptotic signaling through increased expressions of Bcl‐2 and Bcl‐xL. Journal of Cellular Biochemistry. 101(6). 1409–1422. 26 indexed citations
18.
Oh, Doo‐Yi, et al.. (2006). Phospholipase D1 activation through Src and Ras is involved in basic fibroblast growth factor‐induced neurite outgrowth of H19‐7 cells. Journal of Cellular Biochemistry. 101(1). 221–234. 18 indexed citations
19.
Lim, Jae Hoon, et al.. (2006). Intraductal papillary mucinous tumour of the pancreas: differentiation of malignancy and benignancy by CT. Clinical Radiology. 61(9). 776–783. 43 indexed citations
20.

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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