Dong-Jun Koo
About
In The Last Decade
Dong-Jun Koo
7 papers receiving 143 citations
Peers
Comparison fields: 5 of 49
- Biomedical Engineering 89
- Oncology 41
- Molecular Biology 30
- Biomaterials 16
- Cellular and Molecular Neuroscience 13
Countries citing papers authored by Dong-Jun Koo
This map shows the geographic impact of Dong-Jun Koo'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 Dong-Jun Koo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dong-Jun Koo more than expected).
Fields of papers citing papers by Dong-Jun Koo
This network shows the impact of papers produced by Dong-Jun Koo. 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 Dong-Jun Koo. The network helps show where Dong-Jun Koo may publish in the future.
Co-authorship network of co-authors of Dong-Jun Koo
This figure shows the co-authorship network connecting the top 25 collaborators of Dong-Jun Koo. A scholar is included among the top collaborators of Dong-Jun Koo 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 Dong-Jun Koo. Dong-Jun Koo 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 | 6 | |
| 3 | Deep learning-based diagnosis of lung cancer using a nationwide respiratory cytology image set: improving accuracy and inter-observer variability. | 13 |
| 4 | 5 | |
| 5 | 33 | |
| 6 | 21 | |
| 7 | 53 | |
| 8 | 13 |
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.