Yeon‐Mi Hong
About
In The Last Decade
Yeon‐Mi Hong
34 papers receiving 959 citations
Hit Papers
Peers
Comparison fields: 5 of 100
- Molecular Biology 431
- Cellular and Molecular Neuroscience 229
- Biomedical Engineering 168
- Cell Biology 140
- Physiology 133
Countries citing papers authored by Yeon‐Mi Hong
This map shows the geographic impact of Yeon‐Mi Hong'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 Yeon‐Mi Hong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yeon‐Mi Hong more than expected).
Fields of papers citing papers by Yeon‐Mi Hong
This network shows the impact of papers produced by Yeon‐Mi Hong. 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 Yeon‐Mi Hong. The network helps show where Yeon‐Mi Hong may publish in the future.
Co-authorship network of co-authors of Yeon‐Mi Hong
This figure shows the co-authorship network connecting the top 25 collaborators of Yeon‐Mi Hong. A scholar is included among the top collaborators of Yeon‐Mi Hong 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 Yeon‐Mi Hong. Yeon‐Mi Hong is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 11 | |
| 2 | 10 | |
| 3 | 8 | |
| 4 | 34 | |
| 5 | 15 | |
| 6 | In-depth correlation analysis between tear glucose and blood glucose using a wireless smart contact lens breakdown → | 66 |
| 7 | 1 | |
| 8 | 9 | |
| 9 | 11 | |
| 10 | 5 | |
| 11 | 22 | |
| 12 | 31 | |
| 13 | 45 | |
| 14 | 28 | |
| 15 | 53 | |
| 16 | 135 | |
| 17 | 26 | |
| 18 | 18 | |
| 19 | 17 | |
| 20 | 7 |
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.