Young C. Park
About
In The Last Decade
Young C. Park
4 papers receiving 136 citations
Peers
Comparison fields: 5 of 56
- Molecular Biology 67
- Oncology 45
- Cancer Research 44
- Pulmonary and Respiratory Medicine 31
- Genetics 21
Countries citing papers authored by Young C. Park
This map shows the geographic impact of Young C. 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 Young C. Park with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Young C. Park more than expected).
Fields of papers citing papers by Young C. Park
This network shows the impact of papers produced by Young C. 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 Young C. Park. The network helps show where Young C. Park may publish in the future.
Co-authorship network of co-authors of Young C. Park
This figure shows the co-authorship network connecting the top 25 collaborators of Young C. Park. A scholar is included among the top collaborators of Young C. 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 Young C. Park. Young C. 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 | 124 | |
| 2 | 8 | |
| 3 | 2 | |
| 4 | A system for evaluating the performance of government - invested enterprises in the Republic of Korea | 10 |
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.