Po‐Shen Ko
Impact in
- Hematology top 10%
- Multiple Myeloma Research and Treatments
- Acute Myeloid Leukemia Research
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- Glioma Diagnosis and Treatment
Papers in
- Hematology 18
- Hematopoietic Stem Cell Transplantation 7
- Multiple Myeloma Research and Treatments 7
- Acute Myeloid Leukemia Research 6
- Oncology 12
- Neutropenia and Cancer Infections 4
- Co-authors
- Liu H (21 shared papers)Chia‐Jen Liu (22 shared papers)Hao‐Yuan Wang (22 shared papers)Jyh-Pyng Gau (15 shared papers)Liang-Tsai Hsiao (15 shared papers)Tzeon-Jye Chiou (11 shared papers)Yao‐Chung Liu (13 shared papers)Jyh‐Pyng Gau (11 shared papers)
- Journals
- Blood (6 papers)Cancer Medicine (4 papers)International Journal of Hematology (4 papers)Annals of Hematology (3 papers)Journal of Microbiology Immunology and Infection (2 papers)
- Partner nations
- TaiwanSouth KoreaUnited States
In The Last Decade
Po‐Shen Ko
34 papers receiving 257 citations
Peers
Comparison fields: 5 of 48
- Hematology 87
- Genetics 44
- Pathology and Forensic Medicine 73
- Neurology 49
- Oncology 80
Countries citing papers authored by Po‐Shen Ko
This map shows the geographic impact of Po‐Shen Ko'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 Po‐Shen Ko with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Po‐Shen Ko more than expected).
Fields of papers citing papers by Po‐Shen Ko
This network shows the impact of papers produced by Po‐Shen Ko. 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 Po‐Shen Ko. The network helps show where Po‐Shen Ko may publish in the future.
Co-authors
The 25 scholars most cited alongside Po‐Shen Ko, 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 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 32 | |
| 2 | 2017 | 24 | |
| 3 | 2020 | 18 | |
| 4 | 2018 | 16 | |
| 5 | 2020 | 15 | |
| 6 | 2023 | 13 | |
| 7 | 2018 | 12 | |
| 8 | 2018 | 11 | |
| 9 | 2020 | 11 | |
| 10 | 2019 | 10 | |
| 11 | 2023 | 9 | |
| 12 | 2017 | 9 | |
| 13 | 2019 | 8 | |
| 14 | 2019 | 8 | |
| 15 | 2017 | 8 | |
| 16 | 2024 | 7 | |
| 17 | 2021 | 5 | |
| 18 | 2024 | 4 | |
| 19 | 2021 | 4 | |
| 20 | 2022 | 4 |
About Po‐Shen Ko
Po‐Shen Ko is a scholar working on Hematology, Oncology, Pathology and Forensic Medicine, Immunology and Genetics, having authored 37 papers that have together received 260 indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (10 papers), Hematopoietic Stem Cell Transplantation (7 papers), Multiple Myeloma Research and Treatments (7 papers), Acute Myeloid Leukemia Research (6 papers), Immune Cell Function and Interaction (4 papers), Neutropenia and Cancer Infections (4 papers), Moyamoya disease diagnosis and treatment (3 papers) and Myeloproliferative Neoplasms: Diagnosis and Treatment (3 papers). The work is most often cited by research in Hematology (87 citations), Genetics (44 citations), Pathology and Forensic Medicine (73 citations), Neurology (49 citations) and Oncology (80 citations). Po‐Shen Ko has collaborated with scholars based in Taiwan, South Korea and United States. Frequent co-authors include Liu H, Chia‐Jen Liu, Hao‐Yuan Wang, Jyh-Pyng Gau, Liang-Tsai Hsiao, Tzeon-Jye Chiou, Yao‐Chung Liu, Jyh‐Pyng Gau, Sheng‐Hsuan Chien and Chun‐Yu Liu. Their work appears in journals such as Blood, Cancer Medicine, International Journal of Hematology, Annals of Hematology and Journal of Microbiology Immunology and Infection.
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.