Su Mi Park
About
In The Last Decade
Su Mi Park
30 papers receiving 920 citations
Peers
Comparison fields: 5 of 93
- Sociology and Political Science 378
- Cognitive Neuroscience 258
- Clinical Psychology 191
- Education 182
- Molecular Biology 159
Countries citing papers authored by Su Mi Park
This map shows the geographic impact of Su Mi Park'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 Su Mi Park with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Su Mi Park more than expected).
Fields of papers citing papers by Su Mi Park
This network shows the impact of papers produced by Su Mi Park. 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 Su Mi Park. The network helps show where Su Mi Park may publish in the future.
Co-authorship network of co-authors of Su Mi Park
This figure shows the co-authorship network connecting the top 25 collaborators of Su Mi Park. A scholar is included among the top collaborators of Su Mi Park 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 Su Mi Park. Su Mi Park 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 | 21 | |
| 3 | 7 | |
| 4 | 58 | |
| 5 | 3 | |
| 6 | 9 | |
| 7 | Effects of glucoraphanin in dexamethasone-induced skeletal muscle atrophy in vitro model | 2 |
| 8 | 5 | |
| 9 | 16 | |
| 10 | 19 | |
| 11 | 1 | |
| 12 | 45 | |
| 13 | 85 | |
| 14 | 60 | |
| 15 | 45 | |
| 16 | 88 | |
| 17 | 104 | |
| 18 | 51 | |
| 19 | 75 | |
| 20 | 5 |
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.