Dae‐Eun Jeong
About
In The Last Decade
Dae‐Eun Jeong
18 papers receiving 654 citations
Peers
Comparison fields: 5 of 90
- Aging 429
- Molecular Biology 273
- Physiology 167
- Endocrine and Autonomic Systems 154
- Cell Biology 47
Countries citing papers authored by Dae‐Eun Jeong
This map shows the geographic impact of Dae‐Eun Jeong'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 Dae‐Eun Jeong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dae‐Eun Jeong more than expected).
Fields of papers citing papers by Dae‐Eun Jeong
This network shows the impact of papers produced by Dae‐Eun Jeong. 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 Dae‐Eun Jeong. The network helps show where Dae‐Eun Jeong may publish in the future.
Co-authorship network of co-authors of Dae‐Eun Jeong
This figure shows the co-authorship network connecting the top 25 collaborators of Dae‐Eun Jeong. A scholar is included among the top collaborators of Dae‐Eun Jeong 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 Dae‐Eun Jeong. Dae‐Eun Jeong 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 | 13 | |
| 3 | 8 | |
| 4 | 25 | |
| 5 | 11 | |
| 6 | 26 | |
| 7 | 8 | |
| 8 | 42 | |
| 9 | 27 | |
| 10 | 25 | |
| 11 | 64 | |
| 12 | 35 | |
| 13 | 97 | |
| 14 | 57 | |
| 15 | 96 | |
| 16 | 24 | |
| 17 | 66 | |
| 18 | 35 |
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.