Hee‐Jun Wee
Impact in
- Hematology top 5%
- Acute Myeloid Leukemia Research
- Hematopoietic Stem Cell Transplantation
- Geriatrics and Gerontology top 10%
Papers in
-
- Acute Myeloid Leukemia Research 6
- Oncology 8
- Cancer-related Molecular Pathways 4
- Cytokine Signaling Pathways and Interactions 3
- Co-authors
- Yoshiaki Ito (11 shared papers)Katsuya Shigesada (3 shared papers)Kosei Ito (3 shared papers)Moon‐Kyoung Bae (11 shared papers)Suk‐Chul Bae (8 shared papers)Soo‐Kyung Bae (12 shared papers)Su-Ryun Kim (9 shared papers)Tomomasa Yokomizo (1 shared paper)
- Journals
- Journal of Cellular Biochemistry (4 papers)Oncotarget (3 papers)Biochimica et Biophysica Acta (BBA) - Molecular Cell Research (3 papers)Blood (2 papers)International Journal of Oncology (2 papers)
- Partner nations
- South KoreaSingaporeJapan
In The Last Decade
Hee‐Jun Wee
41 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 86
- Hematology 309
- Geriatrics and Gerontology 45
- Molecular Biology 685
- Oncology 214
- Virology 27
Countries citing papers authored by Hee‐Jun Wee
This map shows the geographic impact of Hee‐Jun Wee'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 Hee‐Jun Wee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hee‐Jun Wee more than expected).
Fields of papers citing papers by Hee‐Jun Wee
This network shows the impact of papers produced by Hee‐Jun Wee. 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 Hee‐Jun Wee. The network helps show where Hee‐Jun Wee may publish in the future.
Co-authors
The 25 scholars most cited alongside Hee‐Jun Wee, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2001 | 255 | |
| 2 | 2006 | 143 | |
| 3 | 2016 | 104 | |
| 4 | 2002 | 87 | |
| 5 | 1998 | 78 | |
| 6 | 2007 | 71 | |
| 7 | 2008 | 60 | |
| 8 | 2008 | 57 | |
| 9 | 2014 | 56 | |
| 10 | 2009 | 54 | |
| 11 | 2013 | 54 | |
| 12 | 2017 | 51 | |
| 13 | 2009 | 50 | |
| 14 | 2010 | 45 | |
| 15 | 2009 | 44 | |
| 16 | 2011 | 44 | |
| 17 | 2009 | 41 | |
| 18 | 2006 | 40 | |
| 19 | 2007 | 36 | |
| 20 | 1999 | 34 |
About Hee‐Jun Wee
Hee‐Jun Wee is a scholar working on Hematology, Oncology, Molecular Biology, Immunology and Allergy and Radiology, Nuclear Medicine and Imaging, having authored 42 papers that have together received 1.7k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (6 papers), Cancer therapeutics and mechanisms (4 papers), Historical Medical Research and Treatments (4 papers), Cancer-related Molecular Pathways (4 papers), Adipokines, Inflammation, and Metabolic Diseases (3 papers), Cytokine Signaling Pathways and Interactions (3 papers), Cell Adhesion Molecules Research (3 papers) and Angiogenesis and VEGF in Cancer (3 papers). The work is most often cited by research in Hematology (309 citations), Geriatrics and Gerontology (45 citations), Molecular Biology (685 citations), Oncology (214 citations) and Virology (27 citations). Hee‐Jun Wee has collaborated with scholars based in South Korea, Singapore and Japan. Frequent co-authors include Yoshiaki Ito, Katsuya Shigesada, Kosei Ito, Moon‐Kyoung Bae, Suk‐Chul Bae, Soo‐Kyung Bae, Su-Ryun Kim, Tomomasa Yokomizo, Gang Huang and Yun-Hee Bae. Their work appears in journals such as Journal of Cellular Biochemistry, Oncotarget, Biochimica et Biophysica Acta (BBA) - Molecular Cell Research, Blood and International Journal of Oncology.
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.