Do Kyung Kim
- Molecular Biology top 5%
- Biochemistry top 0.5%
- Cancer Research top 5%
- Oncology top 10%
- Pharmacology top 5%
- Co-authors
- Chun Sung KimHitoshi EndouYoshikatsu KanaiHong Sung ChunJae‐Sung KimSook‐Young LeeSeul Ah LeeNaohiko Anzai
- Topics
- Amino Acid Enzymes and Metabolism (20 papers)Natural product bioactivities and synthesis (17 papers)Epigenetics and DNA Methylation (13 papers)
- Partner nations
- South KoreaUnited StatesJapan
In The Last Decade
Do Kyung Kim
127 papers receiving 2.8k citations
Peers
Comparison fields: 5 of 131
- Molecular Biology 1.6k
- Biochemistry 740
- Cancer Research 413
- Oncology 377
- Pharmacology 251
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 of co-authors of Do Kyung Kim
This figure shows the co-authorship network connecting the top 25 collaborators of Do Kyung Kim. A scholar is included among the top collaborators of Do Kyung Kim based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Do Kyung Kim. Do Kyung Kim is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 0 | |
| 6 | 12 | |
| 7 | 0 | |
| 8 | 1 | |
| 9 | 12 | |
| 10 | 29 | |
| 11 | 19 | |
| 12 | 21 | |
| 13 | 4 | |
| 14 | 30 | |
| 15 | 1 | |
| 16 | 0 | |
| 17 | 1 | |
| 18 | Establishment of a Cavernous Fibrosis Model in a Rat Using Adenovirus Expressing Transforming Growth Factor-beta1. | 1 |
| 19 | Multiplex PCR using conserved and species-specific 16S rDNA primers for simultaneous detection of Fusobacterium nucleatum and Actinobacillus actinomycetemcomitans | 2 |
| 20 | The Role of Adenosine Receptors on Acetylcholine Release in the Rat Striatum | 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) and Epigenetics and DNA Methylation (13 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.