Seonyang Park
- Hematology top 1%
- Molecular Biology
- Oncology top 10%
- Immunology
- Genetics top 5%
- Co-authors
- Sung‐Soo YoonInho KimByoung Kook KimSoo‐Mee BangHyun Kyung KimDoyeun OhHan‐Ik ChoYoungil Koh
- Topics
- Acute Myeloid Leukemia Research (32 papers)Hematopoietic Stem Cell Transplantation (24 papers)Chronic Myeloid Leukemia Treatments (14 papers)
- Cited by
- HematologyInternal MedicineGenetics
- Journals
- BloodPLoS ONECancer Research
- Partner nations
- South KoreaUnited StatesEthiopia
In The Last Decade
Seonyang Park
131 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 108
- Hematology 669
- Molecular Biology 402
- Oncology 309
- Immunology 193
- Genetics 187
Countries citing papers authored by Seonyang Park
This map shows the geographic impact of Seonyang Park'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 Seonyang Park with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Seonyang Park more than expected).
Fields of papers citing papers by Seonyang Park
This network shows the impact of papers produced by Seonyang Park. 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 Seonyang Park. The network helps show where Seonyang Park may publish in the future.
Co-authorship network of co-authors of Seonyang Park
This figure shows the co-authorship network connecting the top 25 collaborators of Seonyang Park. A scholar is included among the top collaborators of Seonyang Park 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 Seonyang Park. Seonyang Park is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 10 | |
| 3 | 23 | |
| 4 | 6 | |
| 5 | 4 | |
| 6 | 23 | |
| 7 | 30 | |
| 8 | 10 | |
| 9 | 19 | |
| 10 | 14 | |
| 11 | 43 | |
| 12 | 7 | |
| 13 | Effect of the combination of imatinib mesylate (Glivec) and curcumin in chronic myeloid leukemia cell line | 2 |
| 14 | 4 | |
| 15 | Improved efficacy with sequential use of histone deacetylase inhibitor, LAQ824, with common chemotherapeutic agents in head and neck squamous carcinoma cell lines | 2 |
| 16 | 12 | |
| 17 | 7 | |
| 18 | Seroepidemiology of human T-cell leukemia virus type-I in the Republic of Korea. | 7 |
| 19 | Electron Microscopic Features of Bone Marrow Cells in Korean Hemorrhagic Fever | 1 |
| 20 | A Study on Thrombokinetics In Korean Hemorrhagic Fever | 4 |
About Seonyang Park
Seonyang Park is a scholar working on Hematology, Internal Medicine and Genetics, having authored 132 papers that have together received 1.5k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (32 papers), Hematopoietic Stem Cell Transplantation (24 papers) and Chronic Myeloid Leukemia Treatments (14 papers). The work is most often cited by research in Hematology (669 citations), Internal Medicine (108 citations) and Genetics (187 citations). Seonyang Park has collaborated with scholars based in South Korea, United States and Ethiopia. Frequent co-authors include Sung‐Soo Yoon, Inho Kim, Byoung Kook Kim, Soo‐Mee Bang, Byoung Kook Kim, Hyun Kyung Kim, Doyeun Oh, Han‐Ik Cho, Youngil Koh and Jung Mi Oh. Their work appears in journals such as Blood, PLoS ONE and Cancer 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.