Sun Mi Gu
About
In The Last Decade
Sun Mi Gu
24 papers receiving 362 citations
Peers
Comparison fields: 5 of 86
- Molecular Biology 96
- Cellular and Molecular Neuroscience 92
- Pharmacology 82
- Neurology 55
- Physiology 47
Countries citing papers authored by Sun Mi Gu
This map shows the geographic impact of Sun Mi Gu'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 Sun Mi Gu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sun Mi Gu more than expected).
Fields of papers citing papers by Sun Mi Gu
This network shows the impact of papers produced by Sun Mi Gu. 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 Sun Mi Gu. The network helps show where Sun Mi Gu may publish in the future.
Co-authorship network of co-authors of Sun Mi Gu
This figure shows the co-authorship network connecting the top 25 collaborators of Sun Mi Gu. A scholar is included among the top collaborators of Sun Mi Gu 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 Sun Mi Gu. Sun Mi Gu 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 | 0 | |
| 3 | 0 | |
| 4 | 4 | |
| 5 | 4 | |
| 6 | 4 | |
| 7 | 4 | |
| 8 | 1 | |
| 9 | 7 | |
| 10 | 5 | |
| 11 | 37 | |
| 12 | 15 | |
| 13 | 35 | |
| 14 | 7 | |
| 15 | 10 | |
| 16 | 3 | |
| 17 | 22 | |
| 18 | 3 | |
| 19 | 59 | |
| 20 | 23 |
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.