Eun‐Ji Song
About
In The Last Decade
Eun‐Ji Song
91 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 153
- Molecular Biology 921
- Food Science 341
- Physiology 310
- Nutrition and Dietetics 221
- Electrical and Electronic Engineering 195
Countries citing papers authored by Eun‐Ji Song
This map shows the geographic impact of Eun‐Ji 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 Eun‐Ji Song with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eun‐Ji Song more than expected).
Fields of papers citing papers by Eun‐Ji Song
This network shows the impact of papers produced by Eun‐Ji 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 Eun‐Ji Song. The network helps show where Eun‐Ji Song may publish in the future.
Co-authorship network of co-authors of Eun‐Ji Song
This figure shows the co-authorship network connecting the top 25 collaborators of Eun‐Ji Song. A scholar is included among the top collaborators of Eun‐Ji 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 Eun‐Ji Song. Eun‐Ji 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 | 0 | |
| 2 | 8 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 8 | |
| 6 | 5 | |
| 7 | 11 | |
| 8 | 11 | |
| 9 | 36 | |
| 10 | 47 | |
| 11 | 39 | |
| 12 | 18 | |
| 13 | 97 | |
| 14 | 98 | |
| 15 | 49 | |
| 16 | 15 | |
| 17 | 5 | |
| 18 | 7 | |
| 19 | 28 | |
| 20 | Study on the Effective System for P2P | 0 |
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.