Soyeon Kim
- Molecular Biology top 5%
- Epidemiology top 5%
- Infectious Diseases top 5%
- Cell Biology top 5%
- Immunology top 10%
- Co-authors
- Michael K. RosenPilong LiQiu‐Xing JiangPaul S. RussoSalman F. BananiDavid S. KingSudeep BanjadeLiang Guo
- Topics
- RNA modifications and cancer (7 papers)Epigenetics and DNA Methylation (7 papers)RNA Research and Splicing (7 papers)
- Partner nations
- United StatesSouth KoreaPuerto Rico
In The Last Decade
Soyeon Kim
91 papers receiving 4.2k citations
Hit Papers
Peers
Comparison fields: 5 of 159
- Molecular Biology 2.5k
- Epidemiology 487
- Infectious Diseases 441
- Cell Biology 425
- Immunology 407
Countries citing papers authored by Soyeon Kim
This map shows the geographic impact of Soyeon 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 Soyeon Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Soyeon Kim more than expected).
Fields of papers citing papers by Soyeon Kim
This network shows the impact of papers produced by Soyeon 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 Soyeon Kim. The network helps show where Soyeon Kim may publish in the future.
Co-authorship network of co-authors of Soyeon Kim
This figure shows the co-authorship network connecting the top 25 collaborators of Soyeon Kim. A scholar is included among the top collaborators of Soyeon 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 Soyeon Kim. Soyeon 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 | 2 | |
| 2 | 0 | |
| 3 | 4 | |
| 4 | 6 | |
| 5 | 6 | |
| 6 | 5 | |
| 7 | 8 | |
| 8 | 5 | |
| 9 | 17 | |
| 10 | 2 | |
| 11 | 72 | |
| 12 | 7 | |
| 13 | 124 | |
| 14 | 232 | |
| 15 | Effects of Auklandia Lappa on Dextran Sulfate Sodium-Induced Murine Colitis | 8 |
| 16 | Clinical Case Report of Hyperthyroidism Patient Treated with Only Traditional Korean Herbal Medicine | 3 |
| 17 | 127 | |
| 18 | HBV-DNA Suppression in a Chronic Hepatitis B Patient Treated with Western Medicine Plus Traditional Korean Medicine Combination Therapy | 2 |
| 19 | Correlation Study between Fatigue Degree and Comprehensive Diagnosis of Qui Xui Shui in Patients with Functional Dyspepsia | 3 |
| 20 | Oxaliplatin and UFT, leucovorin combination chemotherapy in patients with advanced colorectal cancer. | 1 |
About Soyeon Kim
Soyeon Kim is a scholar working on Aging, Cancer Research and Immunology, having authored 95 papers that have together received 4.2k indexed citations. Recurring topics across this work include RNA modifications and cancer (7 papers), Epigenetics and DNA Methylation (7 papers) and RNA Research and Splicing (7 papers). The work is most often cited by research in Molecular Biology (2.5k citations), Virology (135 citations) and Biochemistry (193 citations). Soyeon Kim has collaborated with scholars based in United States, South Korea and Puerto Rico. Frequent co-authors include Michael K. Rosen, Pilong Li, Qiu‐Xing Jiang, Paul S. Russo, Salman F. Banani, David S. King, Sudeep Banjade, Liang Guo, Marc C. Llaguno and Baoyu Chen. Their work appears in journals such as Nature, New England Journal of Medicine and Nucleic Acids Research.
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.