Tae-Min Oh
Impact in
- Genetics top 2%
- Glioma Diagnosis and Treatment
- Ecological Modeling top 5%
- Erosion and Abrasive Machining
Papers in
-
- Erosion and Abrasive Machining 17
- Genetics 22
- Glioma Diagnosis and Treatment 22
- Co-authors
- Gye-Chun ChoAndrew T. ParsaOrin BlochMichael SafaeeMatthew Z. SunEli T. SayeghAllan ClarkMichael E. Ivan
- Journals
- Neurosurgical FOCUS (6 papers)Rock Mechanics and Rock Engineering (6 papers)Applied Sciences (5 papers)Journal of Neuro-Oncology (4 papers)Journal of neurosurgery (4 papers)
- Partner nations
- United StatesSouth KoreaChina
In The Last Decade
Tae-Min Oh
112 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 151
- Genetics 457
- Ecological Modeling 180
- Civil and Structural Engineering 351
- Ocean Engineering 243
- Pathology and Forensic Medicine 278
Countries citing papers authored by Tae-Min Oh
This map shows the geographic impact of Tae-Min 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 Tae-Min Oh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tae-Min Oh more than expected).
Fields of papers citing papers by Tae-Min Oh
This network shows the impact of papers produced by Tae-Min 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 Tae-Min Oh. The network helps show where Tae-Min Oh may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Tae-Min Oh, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 0 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 4 | |
| 4 | 2024 | 0 | |
| 5 | 2024 | 1 | |
| 6 | 2023 | 10 | |
| 7 | 2022 | 2 | |
| 8 | 2021 | 133 | |
| 9 | 2021 | 4 | |
| 10 | 2020 | 10 | |
| 11 | 2020 | 3 | |
| 12 | 2020 | 17 | |
| 13 | 2019 | 2 | |
| 14 | 2019 | 1 | |
| 15 | 2019 | 1 | |
| 16 | 2017 | 26 | |
| 17 | 2014 | 26 | |
| 18 | 2014 | 31 | |
| 19 | 2014 | 26 | |
| 20 | 2014 | 16 |
About Tae-Min Oh
Tae-Min Oh is a scholar working on Ecological Modeling, Genetics, Ocean Engineering, Civil and Structural Engineering and Neurology, having authored 124 papers that have together received 2.2k indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (22 papers), Tunneling and Rock Mechanics (19 papers), Erosion and Abrasive Machining (17 papers), Meningioma and schwannoma management (16 papers), Rock Mechanics and Modeling (15 papers), Geophysical Methods and Applications (15 papers), Spine and Intervertebral Disc Pathology (13 papers) and Spinal Fractures and Fixation Techniques (13 papers). The work is most often cited by research in Genetics (457 citations), Ecological Modeling (180 citations), Civil and Structural Engineering (351 citations), Ocean Engineering (243 citations) and Pathology and Forensic Medicine (278 citations). Tae-Min Oh has collaborated with scholars based in United States, South Korea and China. Frequent co-authors include Gye-Chun Cho, Andrew T. Parsa, Orin Bloch, Michael Safaee, Matthew Z. Sun, Eli T. Sayegh, Allan Clark, Michael E. Ivan, Shayan Fakurnejad and Pengyu Wang. Their work appears in journals such as Neurosurgical FOCUS, Rock Mechanics and Rock Engineering, Applied Sciences, Journal of Neuro-Oncology and Journal of neurosurgery.
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.