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 14
- Multiple Myeloma Research and Treatments 7
- Acute Myeloid Leukemia Research 6
- Chronic Myeloid Leukemia Treatments 4
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- Immune Cell Function and Interaction 4
- Immunotherapy and Immune Responses 3
- 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)Jae-Sook Ahn (5 shared papers)Yeo‐Kyeoung Kim (5 shared papers)
- Journals
- Blood (7 papers)Cancer Immunology Immunotherapy (2 papers)Experimental Hematology (1 paper)Frontiers in Oncology (1 paper)BMC Cancer (1 paper)
- Partner nations
- South KoreaCanadaUnited States
In The Last Decade
Seo-Yeon Ahn
25 papers receiving 225 citations
Peers
Comparison fields: 5 of 30
- Hematology 116
- Genetics 34
- Immunology 66
- Cancer Research 34
- Oncology 59
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 | 28 | |
| 3 | 2021 | 28 | |
| 4 | 2018 | 19 | |
| 5 | 2017 | 19 | |
| 6 | 2022 | 11 | |
| 7 | 2019 | 9 | |
| 8 | 2022 | 6 | |
| 9 | 2019 | 5 | |
| 10 | 2022 | 4 | |
| 11 | 2014 | 3 | |
| 12 | 2019 | 2 | |
| 13 | 2025 | 2 | |
| 14 | 2019 | 2 | |
| 15 | 2020 | 2 | |
| 16 | 2021 | 1 | |
| 17 | 2019 | 1 | |
| 18 | 2017 | 1 | |
| 19 | 2024 | 1 | |
| 20 | 2016 | 1 |
About Seo-Yeon Ahn
Seo-Yeon Ahn is a scholar working on Hematology, Immunology, Genetics, Molecular Biology and Neurology, having authored 26 papers that have together received 227 indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (7 papers), Acute Myeloid Leukemia Research (6 papers), Chronic Myeloid Leukemia Treatments (4 papers), Immune Cell Function and Interaction (4 papers), Immunotherapy and Immune Responses (3 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (3 papers), CNS Lymphoma Diagnosis and Treatment (3 papers) and CAR-T cell therapy research (3 papers). The work is most often cited by research in Hematology (116 citations), Genetics (34 citations), Immunology (66 citations), Cancer Research (34 citations) and Oncology (59 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, Jae-Sook Ahn, Yeo‐Kyeoung Kim, Myung‐Geun Shin and Deok‐Hwan Yang. Their work appears in journals such as Blood, Cancer Immunology Immunotherapy, Experimental Hematology, Frontiers in Oncology 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.