Eun-Yeong Oh

519 total citations
8 papers, 364 citations indexed

About

Eun-Yeong Oh is a scholar working on Molecular Biology, Artificial Intelligence and Pathology and Forensic Medicine. According to data from OpenAlex, Eun-Yeong Oh has authored 8 papers receiving a total of 364 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 3 papers in Artificial Intelligence and 2 papers in Pathology and Forensic Medicine. Recurrent topics in Eun-Yeong Oh's work include AI in cancer detection (3 papers), Molecular Biology Techniques and Applications (2 papers) and Breast Lesions and Carcinomas (2 papers). Eun-Yeong Oh is often cited by papers focused on AI in cancer detection (3 papers), Molecular Biology Techniques and Applications (2 papers) and Breast Lesions and Carcinomas (2 papers). Eun-Yeong Oh collaborates with scholars based in United States and Canada. Eun-Yeong Oh's co-authors include Eric K. Outwater, William K. Erly, Christine Ansell, William J.M. Hrushesky, Patricia A. Wood, Jovelyn Du‐Quiton, Xiaoming Yang, Dinah Faith T. Quiton, Laleh Montaser‐Kouhsari and Andrew H. Beck and has published in prestigious journals such as PLoS ONE, Cancer Research and American Journal of Neuroradiology.

In The Last Decade

Eun-Yeong Oh

8 papers receiving 356 citations

Peers

Eun-Yeong Oh

RNMI

EAS

MB

AI

OSM

Zichen Wang United States

Yanbo Chen China

Ge Zhang China

Matthias Jung Germany

Jiann‐Torng Chen Taiwan

Tamás Micsík Hungary

Cong Chen China

Shayoni Ray United States

Avi Dascalu Israel

B. Houston United Kingdom

Zichen Wang United States

Eun-Yeong Oh

55 ×0.6

RNMI

23 ×0.3

EAS

222 ×2.6

MB

28 ×0.4

AI

16 ×0.3

OSM

Citations per year, relative to Eun-Yeong Oh Eun-Yeong Oh (= 1×) peers Zichen Wang

Countries citing papers authored by Eun-Yeong Oh

Since Specialization

Citations

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

Fields of papers citing papers by Eun-Yeong Oh

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eun-Yeong 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 Eun-Yeong Oh. The network helps show where Eun-Yeong Oh may publish in the future.

Co-authorship network of co-authors of Eun-Yeong Oh

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

All Works

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8 of 8 papers shown

1.

Kaunisto, Aura, Whitney S. Henry, Laleh Montaser‐Kouhsari, et al.. (2015). NFAT1 promotes intratumoral neutrophil infiltration by regulating IL8 expression in breast cancer. Molecular Oncology. 9(6). 1140–1154. 35 indexed citations

2.

Oh, Eun-Yeong, Stephen M. Christensen, Jong Cheol Jeong, et al.. (2015). Extensive rewiring of epithelial-stromal co-expression networks in breast cancer. Genome Biology. 16(1). 128–128. 37 indexed citations

3.

Oh, Eun-Yeong & Laura C. Collins. (2015). Keratin Expression Patterns in Stromal Cells of Benign Sclerosing Lesions of the Breast: A Potential Diagnostic Pitfall. Archives of Pathology & Laboratory Medicine. 139(9). 1143–1148. 3 indexed citations

4.

Montaser‐Kouhsari, Laleh, Nicholas Knoblauch, Eun-Yeong Oh, et al.. (2015). Image-guided Coring for Large-scale Studies in Molecular Pathology. Applied immunohistochemistry & molecular morphology. 24(6). 431–435. 5 indexed citations

5.

Bucur, Octavian, Humayun Irshad, Laleh Montaser‐Kouhsari, et al.. (2015). Abstract 3477: 3D morphological hallmarks of breast carcinogenesis: Diagnosis of non-invasive and invasive breast cancer with Lightsheet microscopy. Cancer Research. 75(15_Supplement). 3477–3477. 2 indexed citations

6.

Dong, Fei, Humayun Irshad, Eun-Yeong Oh, et al.. (2014). Computational Pathology to Discriminate Benign from Malignant Intraductal Proliferations of the Breast. PLoS ONE. 9(12). e114885–e114885. 86 indexed citations

7.

Yang, Xiaoming, Patricia A. Wood, Christine Ansell, et al.. (2009). THE CIRCADIAN CLOCK GENEPER1SUPPRESSES CANCER CELL PROLIFERATION AND TUMOR GROWTH AT SPECIFIC TIMES OF DAY. Chronobiology International. 26(7). 1323–1339. 102 indexed citations

8.

Erly, William K., Eun-Yeong Oh, & Eric K. Outwater. (2006). The utility of in-phase/opposed-phase imaging in differentiating malignancy from acute benign compression fractures of the spine.. American Journal of Neuroradiology. 27(6). 1183–8. 94 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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