Do Kyung Kim
- Biochemistry top 0.5%
- Amino Acid Enzymes and Metabolism 20
- Clinical Biochemistry top 2%
- Metabolism and Genetic Disorders 10
- Cancer Research top 5%
- MicroRNA in disease regulation 9
- Molecular Biology top 5%
- Natural product bioactivities and synthesis 17
- Epigenetics and DNA Methylation 13
- Cell death mechanisms and regulation 9
- Polyamine Metabolism and Applications 9
- Pharmacology top 2%
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- Osteoarthritis Treatment and Mechanisms 10
- Co-authors
- Chun Sung KimHitoshi EndouYoshikatsu KanaiHong Sung ChunJae‐Sung KimSook‐Young LeeSeul Ah LeeNaohiko Anzai
- Partner nations
- South KoreaUnited StatesJapan
In The Last Decade
Do Kyung Kim
127 papers receiving 2.8k citations
Peers
Comparison fields: 5 of 131
- Biochemistry 740
- Clinical Biochemistry 227
- Cancer Research 413
- Molecular Biology 1.6k
- Pharmacology 182
Countries citing papers authored by Do Kyung Kim
This map shows the geographic impact of Do Kyung 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 Do Kyung Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Do Kyung Kim more than expected).
Fields of papers citing papers by Do Kyung Kim
This network shows the impact of papers produced by Do Kyung 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 Do Kyung Kim. The network helps show where Do Kyung Kim may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Do Kyung 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 | 2025 | 1 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 0 | |
| 6 | 2023 | 12 | |
| 7 | 2022 | 0 | |
| 8 | 2021 | 1 | |
| 9 | 2021 | 12 | |
| 10 | 2020 | 29 | |
| 11 | 2020 | 19 | |
| 12 | 2019 | 21 | |
| 13 | 2019 | 4 | |
| 14 | 2018 | 30 | |
| 15 | 2017 | 1 | |
| 16 | 2015 | 0 | |
| 17 | 2013 | 1 | |
| 18 | Establishment of a Cavernous Fibrosis Model in a Rat Using Adenovirus Expressing Transforming Growth Factor-beta1. | 2010 | 1 |
| 19 | Multiplex PCR using conserved and species-specific 16S rDNA primers for simultaneous detection of Fusobacterium nucleatum and Actinobacillus actinomycetemcomitans | 2004 | 2 |
| 20 | The Role of Adenosine Receptors on Acetylcholine Release in the Rat Striatum | 1997 | 1 |
About Do Kyung Kim
Do Kyung Kim is a scholar working on Biochemistry, Clinical Biochemistry and Cancer Research, having authored 136 papers that have together received 2.9k indexed citations. Recurring topics across this work include Amino Acid Enzymes and Metabolism (20 papers), Natural product bioactivities and synthesis (17 papers), Epigenetics and DNA Methylation (13 papers), Metabolism and Genetic Disorders (10 papers), Osteoarthritis Treatment and Mechanisms (10 papers), MicroRNA in disease regulation (9 papers), Cell death mechanisms and regulation (9 papers) and Polyamine Metabolism and Applications (9 papers). The work is most often cited by research in Biochemistry (740 citations), Clinical Biochemistry (227 citations) and Cancer Research (413 citations). Do Kyung Kim has collaborated with scholars based in South Korea, United States and Japan. Frequent co-authors include Chun Sung Kim, Hitoshi Endou, Yoshikatsu Kanai, Hong Sung Chun, Jae‐Sung Kim, Sook‐Young Lee, Seul Ah Lee, Naohiko Anzai, Su-Gwan Kim and Heung‐Joong Kim. Their work appears in journals such as Journal of Biological Chemistry, Hepatology and The FASEB Journal.
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.