Seung-Jae Noh
About
In The Last Decade
Seung-Jae Noh
19 papers receiving 346 citations
Peers
Comparison fields: 5 of 54
- Molecular Biology 229
- Genetics 135
- Cancer Research 88
- Hematology 62
- Immunology 50
Countries citing papers authored by Seung-Jae Noh
This map shows the geographic impact of Seung-Jae Noh'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 Seung-Jae Noh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Seung-Jae Noh more than expected).
Fields of papers citing papers by Seung-Jae Noh
This network shows the impact of papers produced by Seung-Jae Noh. 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 Seung-Jae Noh. The network helps show where Seung-Jae Noh may publish in the future.
Co-authorship network of co-authors of Seung-Jae Noh
This figure shows the co-authorship network connecting the top 25 collaborators of Seung-Jae Noh. A scholar is included among the top collaborators of Seung-Jae Noh 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 Seung-Jae Noh. Seung-Jae Noh is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 0 | |
| 3 | 7 | |
| 4 | 17 | |
| 5 | 20 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 27 | |
| 9 | 7 | |
| 10 | 12 | |
| 11 | 9 | |
| 12 | 109 | |
| 13 | 2 | |
| 14 | 3 | |
| 15 | 48 | |
| 16 | 51 | |
| 17 | 1 | |
| 18 | 3 | |
| 19 | 14 | |
| 20 | 17 |
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.