Minseok Song
- Molecular Biology top 10%
- Immunology top 10%
- Organic Chemistry top 10%
- Cellular and Molecular Neuroscience top 10%
- Materials Chemistry
- Co-authors
- Dhananjay YadavSung Ho RyuNidhi PuranikVineet KumarDong-Joo LeeSang‐Shin ParkYang Woo KwonParkyong Song
- Topics
- Alzheimer's disease research and treatments (8 papers)Nerve injury and regeneration (6 papers)Glycosylation and Glycoproteins Research (5 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryNature Communications
- Partner nations
- South KoreaUnited StatesIndia
In The Last Decade
Minseok Song
65 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 139
- Molecular Biology 833
- Immunology 225
- Organic Chemistry 190
- Cellular and Molecular Neuroscience 171
- Materials Chemistry 161
Countries citing papers authored by Minseok Song
This map shows the geographic impact of Minseok Song'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 Minseok Song with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Minseok Song more than expected).
Fields of papers citing papers by Minseok Song
This network shows the impact of papers produced by Minseok Song. 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 Minseok Song. The network helps show where Minseok Song may publish in the future.
Co-authorship network of co-authors of Minseok Song
This figure shows the co-authorship network connecting the top 25 collaborators of Minseok Song. A scholar is included among the top collaborators of Minseok Song 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 Minseok Song. Minseok Song 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 | 1 | |
| 3 | 1 | |
| 4 | 10 | |
| 5 | 1 | |
| 6 | 6 | |
| 7 | 2 | |
| 8 | 3 | |
| 9 | 2 | |
| 10 | 13 | |
| 11 | 3 | |
| 12 | 5 | |
| 13 | 5 | |
| 14 | 28 | |
| 15 | 11 | |
| 16 | 55 | |
| 17 | 34 | |
| 18 | 117 | |
| 19 | 61 | |
| 20 | Studies on the Thermal Stability and Color of Free Drip released from Pork Muscle with pH, Concentration of NaCl and Phosphate | 1 |
About Minseok Song
Minseok Song is a scholar working on Leadership and Management, Developmental Neuroscience and Cellular and Molecular Neuroscience, having authored 68 papers that have together received 1.6k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (8 papers), Nerve injury and regeneration (6 papers) and Glycosylation and Glycoproteins Research (5 papers). The work is most often cited by research in Biological Psychiatry (34 citations), Molecular Biology (833 citations) and Immunology (225 citations). Minseok Song has collaborated with scholars based in South Korea, United States and India. Frequent co-authors include Dhananjay Yadav, Sung Ho Ryu, Nidhi Puranik, Vineet Kumar, Dong-Joo Lee, Sang‐Shin Park, Yang Woo Kwon, Parkyong Song, Elda Grabocka and Pann‐Ghill Suh. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Communications.
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.