Seung Ja Oh

76 total papers · 3.5k total citations
57 papers, 2.7k citations indexed

About

Seung Ja Oh is a scholar working on Molecular Biology, Biomedical Engineering and Cell Biology. According to data from OpenAlex, Seung Ja Oh has authored 57 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 12 papers in Biomedical Engineering and 9 papers in Cell Biology. Recurrent topics in Seung Ja Oh's work include Catalytic Processes in Materials Science (7 papers), Angiogenesis and VEGF in Cancer (6 papers) and Tissue Engineering and Regenerative Medicine (6 papers). Seung Ja Oh is often cited by papers focused on Catalytic Processes in Materials Science (7 papers), Angiogenesis and VEGF in Cancer (6 papers) and Tissue Engineering and Regenerative Medicine (6 papers). Seung Ja Oh collaborates with scholars based in South Korea, United States and Japan. Seung Ja Oh's co-authors include Sang‐Heon Kim, Yoosoo Yang, Seung Min Kim, Mihue Jang, Yeonsun Hong, Minkoo Seo, Kwideok Park, Lorraine C. Santy, Sang‐Hyun An and Joo‐Young Lee and has published in prestigious journals such as Nucleic Acids Research, Advanced Materials and Journal of Biological Chemistry.

In The Last Decade

Seung Ja Oh

57 papers receiving 2.6k citations

Hit Papers

Cancer-derived exosomes a... 2017 2026 2020 2023 2017 100 200 300

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Seung Ja Oh 896 695 527 515 353 57 2.7k
Pengbo Zhang 1.4k 1.5× 708 1.0× 219 0.4× 857 1.7× 211 0.6× 117 3.0k
Fang Lv 576 0.6× 717 1.0× 353 0.7× 1.0k 2.0× 227 0.6× 69 3.2k
Han Tian 810 0.9× 889 1.3× 320 0.6× 251 0.5× 332 0.9× 113 4.1k
Yang Yang 1.1k 1.2× 891 1.3× 349 0.7× 537 1.0× 318 0.9× 95 2.9k
Sun Jin Kim 569 0.6× 2.0k 2.8× 174 0.3× 855 1.7× 281 0.8× 103 4.1k
Mingming Hao 1.3k 1.5× 896 1.3× 145 0.3× 1.1k 2.2× 129 0.4× 106 4.9k
Ying Chang 733 0.8× 640 0.9× 79 0.1× 653 1.3× 343 1.0× 145 3.5k
Fei Yang 847 0.9× 1.1k 1.6× 116 0.2× 369 0.7× 246 0.7× 183 3.6k
Kaitlin M. Bratlie 478 0.5× 1.2k 1.7× 250 0.5× 1.1k 2.1× 56 0.2× 65 3.5k
Zhiqiang Zhao 1.8k 2.0× 586 0.8× 72 0.1× 841 1.6× 532 1.5× 115 3.7k

Countries citing papers authored by Seung Ja Oh

Since Specialization
Citations

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

Fields of papers citing papers by Seung Ja Oh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Seung Ja 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 Seung Ja Oh. The network helps show where Seung Ja Oh may publish in the future.

Co-authorship network of co-authors of Seung Ja Oh

This figure shows the co-authorship network connecting the top 25 collaborators of Seung Ja Oh. A scholar is included among the top collaborators of Seung Ja 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 Seung Ja Oh. Seung Ja 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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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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