Byung‐Ok Choi
- Cellular and Molecular Neuroscience top 2%
- Molecular Biology top 10%
- Neurology top 2%
- Neurology top 2%
- Genetics top 5%
- Co-authors
- Ki Wha ChungSung‐Chul JungYoung Bin HongKyoung‐Gyu ChoiSoo Hyun NamHeasoo KooInho JoYoung Se Hyun
- Topics
- Hereditary Neurological Disorders (66 papers)Neurological diseases and metabolism (27 papers)Genetic Neurodegenerative Diseases (27 papers)
- Journals
- Advanced MaterialsACS NanoPLoS ONE
- Partner nations
- South KoreaUnited StatesJapan
In The Last Decade
Byung‐Ok Choi
126 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 112
- Cellular and Molecular Neuroscience 886
- Molecular Biology 841
- Neurology 442
- Neurology 381
- Genetics 297
Countries citing papers authored by Byung‐Ok Choi
This map shows the geographic impact of Byung‐Ok Choi'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 Byung‐Ok Choi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Byung‐Ok Choi more than expected).
Fields of papers citing papers by Byung‐Ok Choi
This network shows the impact of papers produced by Byung‐Ok Choi. 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 Byung‐Ok Choi. The network helps show where Byung‐Ok Choi may publish in the future.
Co-authorship network of co-authors of Byung‐Ok Choi
This figure shows the co-authorship network connecting the top 25 collaborators of Byung‐Ok Choi. A scholar is included among the top collaborators of Byung‐Ok Choi 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 Byung‐Ok Choi. Byung‐Ok Choi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 9 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 13 | |
| 9 | 2 | |
| 10 | 4 | |
| 11 | 5 | |
| 12 | 30 | |
| 13 | 47 | |
| 14 | 23 | |
| 15 | An Adolescent Ischemic Stroke Patient with Hyperhomocysteinemia, MTHFR 677TT and CBS 1080TT genotypes. | 1 |
| 16 | Association between MTHFR C677T Polymorphism and Ischemic Stroke | 1 |
| 17 | MTHFR A1298C Gene Polymorphism: Independent Risk Factor for Ischemic Stroke? | 4 |
| 18 | The Relationship between Hyperhomocysteinemia and C677T MTHER Gene Polymorphism in Patients with Ischemic Stroke | 1 |
| 19 | Factors Affecting Development of Epilepsy and Postoperative Recurrence of Epilepsy in Primary Brain Tumor | 0 |
| 20 | The Results of Radiation Therapy of Limited Stage Small Cell Lung Cancer | 1 |
About Byung‐Ok Choi
Byung‐Ok Choi is a scholar working on Cellular and Molecular Neuroscience, Neurology and Neurology, having authored 139 papers that have together received 2.3k indexed citations. Recurring topics across this work include Hereditary Neurological Disorders (66 papers), Neurological diseases and metabolism (27 papers) and Genetic Neurodegenerative Diseases (27 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (886 citations), Neurology (381 citations) and Neurology (442 citations). Byung‐Ok Choi has collaborated with scholars based in South Korea, United States and Japan. Frequent co-authors include Ki Wha Chung, Sung‐Chul Jung, Young Bin Hong, Kyoung‐Gyu Choi, Soo Hyun Nam, Heasoo Koo, Inho Jo, Young Se Hyun, Sang‐Woo Kim and Nam Keun Kim. Their work appears in journals such as Advanced Materials, ACS Nano and PLoS ONE.
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.