Sung‐Hyun Kim
- Hematology top 5%
- Chronic Myeloid Leukemia Treatments 30
- Acute Myeloid Leukemia Research 19
- Multiple Myeloma Research and Treatments 17
- Hematopoietic Stem Cell Transplantation 9
- Internal Medicine top 5%
- Genetics top 5%
- Chronic Lymphocytic Leukemia Research 18
- Oncology top 10%
- Cancer Treatment and Pharmacology 9
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- Acute Lymphoblastic Leukemia research 13
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- Protein Degradation and Inhibitors 9
- Co-authors
- Sung Yong OhJin‐Yeong HanSuee LeeHyojin KimHyuk-Chan KwonJi Hyun LeeKyung A KwonMin Chan Kim
- Cited by
- HematologyInternal MedicineGenetics
- Partner nations
- South KoreaUnited StatesCanada
In The Last Decade
Sung‐Hyun Kim
97 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 98
- Hematology 352
- Internal Medicine 117
- Genetics 171
- Oncology 371
- Pulmonary and Respiratory Medicine 223
Countries citing papers authored by Sung‐Hyun Kim
This map shows the geographic impact of Sung‐Hyun Kim'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 Sung‐Hyun Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sung‐Hyun Kim more than expected).
Fields of papers citing papers by Sung‐Hyun Kim
This network shows the impact of papers produced by Sung‐Hyun Kim. 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 Sung‐Hyun Kim. The network helps show where Sung‐Hyun Kim may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Sung‐Hyun Kim, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 3 | |
| 2 | 2023 | 5 | |
| 3 | 2023 | 3 | |
| 4 | 2023 | 0 | |
| 5 | 2022 | 6 | |
| 6 | 2022 | 3 | |
| 7 | 2021 | 7 | |
| 8 | 2017 | 1 | |
| 9 | 2015 | 1 | |
| 10 | 2015 | 6 | |
| 11 | 2015 | 19 | |
| 12 | 2013 | 1 | |
| 13 | 2012 | 5 | |
| 14 | 2012 | 4 | |
| 15 | 2012 | 1 | |
| 16 | 2007 | 1 | |
| 17 | A Case of Granulocytic Sarcoma Relapsed in Both Breasts After Complete Remission of Acute Myelogeous Leukemia | 2005 | 2 |
| 18 | Clinical significance of chromosomal abnormality in multiple myeloma | 2005 | 1 |
| 19 | 2005 | 0 | |
| 20 | Chemical properties and physiological activities of stromata of Cordyceps militaris | 2001 | 16 |
About Sung‐Hyun Kim
Sung‐Hyun Kim is a scholar working on Hematology, Genetics and Internal Medicine, having authored 105 papers that have together received 1.0k indexed citations. Recurring topics across this work include Chronic Myeloid Leukemia Treatments (30 papers), Acute Myeloid Leukemia Research (19 papers), Chronic Lymphocytic Leukemia Research (18 papers), Multiple Myeloma Research and Treatments (17 papers), Acute Lymphoblastic Leukemia research (13 papers), Hematopoietic Stem Cell Transplantation (9 papers), Cancer Treatment and Pharmacology (9 papers) and Protein Degradation and Inhibitors (9 papers). The work is most often cited by research in Hematology (352 citations), Internal Medicine (117 citations) and Genetics (171 citations). Sung‐Hyun Kim has collaborated with scholars based in South Korea, United States and Canada. Frequent co-authors include Sung Yong Oh, Jin‐Yeong Han, Suee Lee, Hyojin Kim, Hyuk-Chan Kwon, Ji Hyun Lee, Kyung A Kwon, Min Chan Kim, Kyeong Hee Kim and Yeung‐Chul Mun. Their work appears in journals such as Blood, Medicine and British Journal of Haematology.
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.