SungGi Chi
Impact in
- Hematology top 5%
- Acute Myeloid Leukemia Research
- Chronic Myeloid Leukemia Treatments
-
- Myeloproliferative Neoplasms: Diagnosis and Treatment
Papers in
- Hematology 13
- Acute Myeloid Leukemia Research 11
- Chronic Myeloid Leukemia Treatments 4
-
- Protein Degradation and Inhibitors 2
- Retinoids in leukemia and cellular processes 2
- Co-authors
- Yosuke Minami (13 shared papers)Junichiro Yuda (2 shared papers)Rikako Tabata (1 shared paper)Nobuhiko Yamauchi (2 shared papers)Takayuki Ikezoe (6 shared papers)Masamitsu Yanada (2 shared papers)Yasuyuki Arai (1 shared paper)Akihito Yokoyama (4 shared papers)
In The Last Decade
SungGi Chi
21 papers receiving 273 citations
Peers
Comparison fields: 5 of 44
- Hematology 134
- Genetics 40
- Immunology 62
- Oncology 69
- Internal Medicine 5
Countries citing papers authored by SungGi Chi
This map shows the geographic impact of SungGi Chi'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 SungGi Chi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites SungGi Chi more than expected).
Fields of papers citing papers by SungGi Chi
This network shows the impact of papers produced by SungGi Chi. 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 SungGi Chi. The network helps show where SungGi Chi may publish in the future.
Co-authors
The 25 scholars most cited alongside SungGi Chi, 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 62 | |
| 2 | 2021 | 54 | |
| 3 | 2020 | 40 | |
| 4 | 2022 | 19 | |
| 5 | 2022 | 18 | |
| 6 | 2022 | 16 | |
| 7 | 2013 | 15 | |
| 8 | 2022 | 12 | |
| 9 | 2015 | 10 | |
| 10 | 2007 | 5 | |
| 11 | 2015 | 5 | |
| 12 | 2017 | 4 | |
| 13 | 2024 | 4 | |
| 14 | 2013 | 3 | |
| 15 | 2023 | 2 | |
| 16 | 2022 | 2 | |
| 17 | 2013 | 1 | |
| 18 | 2022 | 1 | |
| 19 | 2023 | 1 | |
| 20 | 2024 | 1 |
About SungGi Chi
SungGi Chi is a scholar working on Hematology, Molecular Biology, Genetics, Oncology and Immunology, having authored 22 papers that have together received 276 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (11 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (4 papers), CAR-T cell therapy research (4 papers), Chronic Myeloid Leukemia Treatments (4 papers), Immune Cell Function and Interaction (3 papers), Protein Degradation and Inhibitors (2 papers), Retinoids in leukemia and cellular processes (2 papers) and Cancer Immunotherapy and Biomarkers (2 papers). The work is most often cited by research in Hematology (134 citations), Genetics (40 citations), Immunology (62 citations), Oncology (69 citations) and Internal Medicine (5 citations). SungGi Chi has collaborated with scholars based in Japan and Australia. Frequent co-authors include Yosuke Minami, Junichiro Yuda, Rikako Tabata, Nobuhiko Yamauchi, Takayuki Ikezoe, Masamitsu Yanada, Yasuyuki Arai, Akihito Yokoyama, Kazuto Togitani and Daisuke Ikeda. Their work appears in journals such as International Journal of Molecular Sciences, International Journal of Hematology, Biomedicines, Blood and Acta Haematologica.
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.