Ye Eun Chun
About
In The Last Decade
Ye Eun Chun
4 papers receiving 61 citations
Peers
Comparison fields: 5 of 35
- Cellular and Molecular Neuroscience 40
- Neurology 18
- Molecular Biology 16
- Biochemistry 16
- Physiology 11
Countries citing papers authored by Ye Eun Chun
This map shows the geographic impact of Ye Eun Chun'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 Ye Eun Chun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ye Eun Chun more than expected).
Fields of papers citing papers by Ye Eun Chun
This network shows the impact of papers produced by Ye Eun Chun. 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 Ye Eun Chun. The network helps show where Ye Eun Chun may publish in the future.
Co-authorship network of co-authors of Ye Eun Chun
This figure shows the co-authorship network connecting the top 25 collaborators of Ye Eun Chun. A scholar is included among the top collaborators of Ye Eun Chun 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 Ye Eun Chun. Ye Eun Chun is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 53 | |
| 2 | 4 | |
| 3 | 3 | |
| 4 | Experimental Research on Sieve Tower FGD Technology | 1 |
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.