Seo-Yeon Ahn
Impact in
- Hematology top 10%
- Acute Myeloid Leukemia Research
- Hematopoietic Stem Cell Transplantation
- Multiple Myeloma Research and Treatments
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- Myeloproliferative Neoplasms: Diagnosis and Treatment
Papers in
- Hematology 17
- Multiple Myeloma Research and Treatments 9
- Acute Myeloid Leukemia Research 7
- Chronic Myeloid Leukemia Treatments 4
- Genetics 10
- Myeloproliferative Neoplasms: Diagnosis and Treatment 5
- Co-authors
- Je‐Jung Lee (24 shared papers)Sung‐Hoon Jung (24 shared papers)Hyeoung‐Joon Kim (24 shared papers)Jae‐Sook Ahn (17 shared papers)Ga‐Young Song (15 shared papers)Deok‐Hwan Yang (11 shared papers)Myung‐Geun Shin (6 shared papers)Yeo‐Kyeoung Kim (5 shared papers)
- Journals
- Blood (7 papers)Cancer Immunology Immunotherapy (2 papers)Cellular and Molecular Immunology (1 paper)Leukemia Research (1 paper)BMC Cancer (1 paper)
- Partner nations
- South KoreaCanadaUnited States
In The Last Decade
Seo-Yeon Ahn
24 papers receiving 213 citations
Peers
Comparison fields: 5 of 31
- Hematology 123
- Genetics 47
- Immunology 65
- Oncology 73
- Cancer Research 40
Countries citing papers authored by Seo-Yeon Ahn
This map shows the geographic impact of Seo-Yeon Ahn'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 Seo-Yeon Ahn with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Seo-Yeon Ahn more than expected).
Fields of papers citing papers by Seo-Yeon Ahn
This network shows the impact of papers produced by Seo-Yeon Ahn. 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 Seo-Yeon Ahn. The network helps show where Seo-Yeon Ahn may publish in the future.
Co-authors
The 25 scholars most cited alongside Seo-Yeon Ahn, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 77 | |
| 2 | 2021 | 26 | |
| 3 | 2021 | 24 | |
| 4 | 2017 | 19 | |
| 5 | 2018 | 18 | |
| 6 | 2022 | 9 | |
| 7 | 2019 | 9 | |
| 8 | 2022 | 6 | |
| 9 | 2019 | 5 | |
| 10 | 2022 | 3 | |
| 11 | 2014 | 3 | |
| 12 | 2019 | 2 | |
| 13 | 2019 | 2 | |
| 14 | 2020 | 2 | |
| 15 | 2021 | 1 | |
| 16 | 2025 | 1 | |
| 17 | 2017 | 1 | |
| 18 | 2024 | 1 | |
| 19 | 2022 | 1 | |
| 20 | 2019 | 1 |
About Seo-Yeon Ahn
Seo-Yeon Ahn is a scholar working on Hematology, Genetics, Oncology, Immunology and Molecular Biology, having authored 26 papers that have together received 215 indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (9 papers), Acute Myeloid Leukemia Research (7 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (5 papers), CAR-T cell therapy research (4 papers), Immune Cell Function and Interaction (4 papers), Lymphoma Diagnosis and Treatment (4 papers), Chronic Myeloid Leukemia Treatments (4 papers) and T-cell and B-cell Immunology (3 papers). The work is most often cited by research in Hematology (123 citations), Genetics (47 citations), Immunology (65 citations), Oncology (73 citations) and Cancer Research (40 citations). Seo-Yeon Ahn has collaborated with scholars based in South Korea, Canada and United States. Frequent co-authors include Je‐Jung Lee, Sung‐Hoon Jung, Hyeoung‐Joon Kim, Jae‐Sook Ahn, Ga‐Young Song, Deok‐Hwan Yang, Myung‐Geun Shin, Yeo‐Kyeoung Kim, Deok‐Hwan Yang and Jae-Sook Ahn. Their work appears in journals such as Blood, Cancer Immunology Immunotherapy, Cellular and Molecular Immunology, Leukemia Research and BMC Cancer.
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.