Taek‐Kyun Kim
- Cancer Research top 2%
- MicroRNA in disease regulation 10
- Cancer-related molecular mechanisms research 6
- Urology top 5%
- Molecular Biology top 10%
- Extracellular vesicles in disease 12
- Circular RNAs in diseases 5
- Obstetrics and Gynecology top 10%
- Nephrology top 10%
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- Nasal Surgery and Airway Studies 12
- Reconstructive Facial Surgery Techniques 6
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- Facial Rejuvenation and Surgery Techniques 4
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- Sinusitis and nasal conditions 4
- Co-authors
- Kai WangDaehee HwangYuqing HeYuanlin DingJuanjuan LinByung Chae ChoAlton EtheridgeHo Yun Chung
- Journals
- Nucleic Acids Research (1 paper)SHILAP Revista de lepidopterología (2 papers)Blood (1 paper)
- Partner nations
- South KoreaUnited StatesChina
In The Last Decade
Taek‐Kyun Kim
45 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 115
- Cancer Research 646
- Urology 99
- Molecular Biology 950
- Obstetrics and Gynecology 84
- Nephrology 73
Countries citing papers authored by Taek‐Kyun Kim
This map shows the geographic impact of Taek‐Kyun Kim'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 Taek‐Kyun Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Taek‐Kyun Kim more than expected).
Fields of papers citing papers by Taek‐Kyun Kim
This network shows the impact of papers produced by Taek‐Kyun Kim. 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 Taek‐Kyun Kim. The network helps show where Taek‐Kyun Kim may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Taek‐Kyun Kim, 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 | 2025 | 0 | |
| 2 | 2024 | 2 | |
| 3 | 2023 | 1 | |
| 4 | 2020 | 3 | |
| 5 | 2020 | 0 | |
| 6 | 2020 | 35 | |
| 7 | 2020 | 59 | |
| 8 | 2019 | 11 | |
| 9 | 2017 | 57 | |
| 10 | 2016 | 45 | |
| 11 | 2013 | 21 | |
| 12 | Effect of Amniotic Fluid Stem Cells and Amniotic Fluid Cells on the Wound Healing Process in a White Rat Model | 2013 | 1 |
| 13 | 2012 | 1 | |
| 14 | 2012 | 5 | |
| 15 | 2012 | 14 | |
| 16 | 2011 | 23 | |
| 17 | 2010 | 71 | |
| 18 | 2009 | 23 | |
| 19 | Difference of Gene Expression in Venous Malformation | 2007 | 1 |
| 20 | 2007 | 39 |
About Taek‐Kyun Kim
Taek‐Kyun Kim is a scholar working on Otorhinolaryngology, Aging and Cancer Research, having authored 51 papers that have together received 1.7k indexed citations. Recurring topics across this work include Extracellular vesicles in disease (12 papers), Nasal Surgery and Airway Studies (12 papers), MicroRNA in disease regulation (10 papers), Reconstructive Facial Surgery Techniques (6 papers), Cancer-related molecular mechanisms research (6 papers), Circular RNAs in diseases (5 papers), Facial Rejuvenation and Surgery Techniques (4 papers) and Sinusitis and nasal conditions (4 papers). The work is most often cited by research in Cancer Research (646 citations), Urology (99 citations) and Molecular Biology (950 citations). Taek‐Kyun Kim has collaborated with scholars based in South Korea, United States and China. Frequent co-authors include Kai Wang, Daehee Hwang, Yuqing He, Yuanlin Ding, Juanjuan Lin, Byung Chae Cho, Alton Etheridge, Ho Yun Chung, Yanhong Luo and Mingyuan Huang. Their work appears in journals such as Nucleic Acids Research, SHILAP Revista de lepidopterología and Blood.
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.