Heon Goo Lee
About
In The Last Decade
Heon Goo Lee
6 papers receiving 111 citations
Peers
Comparison fields: 5 of 57
- Molecular Biology 59
- Surgery 29
- Biomedical Engineering 22
- Immunology 13
- Oncology 11
Countries citing papers authored by Heon Goo Lee
This map shows the geographic impact of Heon Goo Lee'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 Heon Goo Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Heon Goo Lee more than expected).
Fields of papers citing papers by Heon Goo Lee
This network shows the impact of papers produced by Heon Goo Lee. 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 Heon Goo Lee. The network helps show where Heon Goo Lee may publish in the future.
Co-authorship network of co-authors of Heon Goo Lee
This figure shows the co-authorship network connecting the top 25 collaborators of Heon Goo Lee. A scholar is included among the top collaborators of Heon Goo Lee 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 Heon Goo Lee. Heon Goo Lee is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 15 | |
| 2 | 10 | |
| 3 | 4 | |
| 4 | 32 | |
| 5 | 23 | |
| 6 | 27 | |
| 7 | In vitro bone cell response to fluid shear stress during pregnancy | 0 |
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.