Hakbae Lee
Impact in
- Genetics top 10%
- Mesenchymal stem cell research
-
- Electrospun Nanofibers in Biomedical Applications
Papers in
- Surgery 3
- Co-authors
- Yangsoo Jang (6 shared papers)Soyeon Lim (4 shared papers)Heesang Song (3 shared papers)Sungha Park (2 shared papers)Seok‐Min Kang (3 shared papers)Ji Hyung Chung (3 shared papers)Byung‐Soo Kim (2 shared papers)Kyung‐Jong Yoo (2 shared papers)
- Journals
- Scientific Reports (2 papers)European Journal of Pharmacology (2 papers)Knowledge-Based Systems (1 paper)Stem Cells (1 paper)Journal of Functional Foods (1 paper)
- Partner nations
- South KoreaUnited States
In The Last Decade
Hakbae Lee
15 papers receiving 364 citations
Peers
Comparison fields: 5 of 100
- Genetics 104
- Biomaterials 64
- Pathology and Forensic Medicine 48
- Surgery 97
- Visual Arts and Performing Arts 11
Countries citing papers authored by Hakbae Lee
This map shows the geographic impact of Hakbae 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 Hakbae Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hakbae Lee more than expected).
Fields of papers citing papers by Hakbae Lee
This network shows the impact of papers produced by Hakbae 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 Hakbae Lee. The network helps show where Hakbae Lee may publish in the future.
Co-authors
The 25 scholars most cited alongside Hakbae Lee, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 107 | |
| 2 | 2007 | 75 | |
| 3 | 2006 | 71 | |
| 4 | 2003 | 27 | |
| 5 | 2023 | 20 | |
| 6 | 2014 | 18 | |
| 7 | 2005 | 13 | |
| 8 | 2008 | 12 | |
| 9 | 2006 | 8 | |
| 10 | 2003 | 8 | |
| 11 | 2022 | 7 | |
| 12 | 2024 | 2 | |
| 13 | Structural Relationships among Customer Loyalty, Satisfaction and Trust of Internet Banking | 2012 | 2 |
| 14 | 2024 | 2 | |
| 15 | Effects of CETP gene polymorphisms on atherogenic lipoprotein phenotypes in Koreans | 2003 | 1 |
| 16 | 2007 | 1 | |
| 17 | 2012 | 0 |
About Hakbae Lee
Hakbae Lee is a scholar working on Surgery, Signal Processing, Genetics, Pulmonary and Respiratory Medicine and Biomaterials, having authored 17 papers that have together received 374 indexed citations. Recurring topics across this work include Statistical Methods and Inference (2 papers), Blood properties and coagulation (2 papers), Electrospun Nanofibers in Biomedical Applications (2 papers), Mesenchymal stem cell research (2 papers), Cardiac electrophysiology and arrhythmias (1 paper), Advanced Clustering Algorithms Research (1 paper), COVID-19 epidemiological studies (1 paper) and Gout, Hyperuricemia, Uric Acid (1 paper). The work is most often cited by research in Genetics (104 citations), Biomaterials (64 citations), Pathology and Forensic Medicine (48 citations), Surgery (97 citations) and Visual Arts and Performing Arts (11 citations). Hakbae Lee has collaborated with scholars based in South Korea and United States. Frequent co-authors include Yangsoo Jang, Soyeon Lim, Heesang Song, Sungha Park, Seok‐Min Kang, Ji Hyung Chung, Byung‐Soo Kim, Kyung‐Jong Yoo, Namsik Chung and Woochul Chang. Their work appears in journals such as Scientific Reports, European Journal of Pharmacology, Knowledge-Based Systems, Stem Cells and Journal of Functional Foods.
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.