Young-Lim Choi
Impact in
- Hematology top 5%
- Acute Myeloid Leukemia Research
Papers in
- Marketing 19
- Consumer Perception and Purchasing Behavior 18
-
- Cultural and Historical Studies 15
- Co-authors
- Hiroyuki Mano (6 shared papers)Yumi Yamashita (5 shared papers)Shuji Takada (4 shared papers)Yun-Ja Nam (10 shared papers)Masao Tomonaga (2 shared papers)Im‐Sook Song (1 shared paper)Min‐Koo Choi (1 shared paper)Ho Jung Shin (1 shared paper)
- Journals
- Leukemia (3 papers)Oncogene (3 papers)Fibers and Polymers (1 paper)Xenobiotica (1 paper)IEEE Transactions on Magnetics (1 paper)
- Partner nations
- South KoreaJapanUnited States
In The Last Decade
Young-Lim Choi
27 papers receiving 506 citations
Peers
Comparison fields: 5 of 76
- Hematology 153
- Genetics 75
- Visual Arts and Performing Arts 30
- Cancer Research 81
- Marketing 46
Countries citing papers authored by Young-Lim Choi
This map shows the geographic impact of Young-Lim Choi'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 Young-Lim Choi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Young-Lim Choi more than expected).
Fields of papers citing papers by Young-Lim Choi
This network shows the impact of papers produced by Young-Lim Choi. 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 Young-Lim Choi. The network helps show where Young-Lim Choi may publish in the future.
Co-authors
The 25 scholars most cited alongside Young-Lim Choi, 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 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 193 | |
| 2 | 2005 | 82 | |
| 3 | 2010 | 66 | |
| 4 | 2006 | 65 | |
| 5 | 2008 | 24 | |
| 6 | 2003 | 19 | |
| 7 | 2004 | 19 | |
| 8 | Optimal Matrix Standardization for Pattern Flattening Using Grid Method -Focused on Young Women's Upper Front Shell- | 2006 | 7 |
| 9 | 2011 | 7 | |
| 10 | 2009 | 7 | |
| 11 | 2010 | 6 | |
| 12 | 2013 | 6 | |
| 13 | 2009 | 6 | |
| 14 | The Qualitative Study on the Evaluation and the Application of 3D scan and virtual try-on technology | 2009 | 5 |
| 15 | 2011 | 4 | |
| 16 | 2010 | 4 | |
| 17 | 2011 | 3 | |
| 18 | 2010 | 3 | |
| 19 | 2013 | 3 | |
| 20 | 2020 | 3 |
About Young-Lim Choi
Young-Lim Choi is a scholar working on Marketing, Visual Arts and Performing Arts, Computational Mechanics, Museology and Molecular Biology, having authored 35 papers that have together received 548 indexed citations. Recurring topics across this work include Consumer Perception and Purchasing Behavior (18 papers), Cultural and Historical Studies (15 papers), 3D Shape Modeling and Analysis (6 papers), Fashion and Cultural Textiles (4 papers), Diverse Topics in Contemporary Research (3 papers), Acute Myeloid Leukemia Research (2 papers), Viral-associated cancers and disorders (2 papers) and Genomics and Chromatin Dynamics (2 papers). The work is most often cited by research in Hematology (153 citations), Genetics (75 citations), Visual Arts and Performing Arts (30 citations), Cancer Research (81 citations) and Marketing (46 citations). Young-Lim Choi has collaborated with scholars based in South Korea, Japan and United States. Frequent co-authors include Hiroyuki Mano, Yumi Yamashita, Shuji Takada, Yun-Ja Nam, Masao Tomonaga, Im‐Sook Song, Min‐Koo Choi, Ho Jung Shin, Toshihide Ueno and Jae‐Gook Shin. Their work appears in journals such as Leukemia, Oncogene, Fibers and Polymers, Xenobiotica and IEEE Transactions on Magnetics.
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.