Sung‐Soo Yoon
Impact in
- Hematology top 0.5%
- Multiple Myeloma Research and Treatments
- Acute Myeloid Leukemia Research
- Hematopoietic Stem Cell Transplantation
- Genetics top 1%
- Chronic Lymphocytic Leukemia Research
Papers in
- Hematology 226
- Multiple Myeloma Research and Treatments 106
- Acute Myeloid Leukemia Research 75
- Chronic Myeloid Leukemia Treatments 35
- Hematopoietic Stem Cell Transplantation 33
- Genetics 81
- Myeloproliferative Neoplasms: Diagnosis and Treatment 37
- Co-authors
- Inho KimSeonyang ParkYoungil KohDong‐Yeop ShinJa Min ByunSoo‐Mee BangJin Seok KimJunshik Hong
- Journals
- Blood (59 papers)Annals of Hematology (23 papers)Journal of Korean Medical Science (13 papers)Journal of Clinical Oncology (13 papers)Leukemia Research (10 papers)
- Partner nations
- South KoreaUnited StatesSpain
In The Last Decade
Sung‐Soo Yoon
323 papers receiving 4.1k citations
Peers
Comparison fields: 5 of 113
- Hematology 1.8k
- Genetics 637
- Oncology 1.5k
- Pathology and Forensic Medicine 733
- Nephrology 229
Countries citing papers authored by Sung‐Soo Yoon
This map shows the geographic impact of Sung‐Soo Yoon'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‐Soo Yoon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sung‐Soo Yoon more than expected).
Fields of papers citing papers by Sung‐Soo Yoon
This network shows the impact of papers produced by Sung‐Soo Yoon. 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‐Soo Yoon. The network helps show where Sung‐Soo Yoon may publish in the future.
Co-authors
The 25 scholars most cited alongside Sung‐Soo Yoon, 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 | 2025 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2025 | 5 | |
| 5 | 2024 | 6 | |
| 6 | 2024 | 2 | |
| 7 | 2023 | 5 | |
| 8 | 2023 | 3 | |
| 9 | 2023 | 2 | |
| 10 | 2022 | 4 | |
| 11 | 2022 | 5 | |
| 12 | 2022 | 3 | |
| 13 | 2022 | 3 | |
| 14 | 2020 | 6 | |
| 15 | 2019 | 4 | |
| 16 | 2019 | 22 | |
| 17 | 2017 | 32 | |
| 18 | 2014 | 3 | |
| 19 | 2007 | 0 | |
| 20 | Salvage Therapy with Thalidomide in Patients with Relapsed or Refractory Multiple Myeloma | 2002 | 3 |
About Sung‐Soo Yoon
Sung‐Soo Yoon is a scholar working on Hematology, Genetics, Oncology, Pathology and Forensic Medicine and Immunology, having authored 342 papers that have together received 4.2k indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (106 papers), Acute Myeloid Leukemia Research (75 papers), Protein Degradation and Inhibitors (50 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (37 papers), Lymphoma Diagnosis and Treatment (36 papers), Chronic Myeloid Leukemia Treatments (35 papers), Peptidase Inhibition and Analysis (35 papers) and Hematopoietic Stem Cell Transplantation (33 papers). The work is most often cited by research in Hematology (1.8k citations), Genetics (637 citations), Oncology (1.5k citations), Pathology and Forensic Medicine (733 citations) and Nephrology (229 citations). Sung‐Soo Yoon has collaborated with scholars based in South Korea, United States and Spain. Frequent co-authors include Inho Kim, Seonyang Park, Youngil Koh, Youngil Koh, Dong‐Yeop Shin, Ja Min Byun, Soo‐Mee Bang, Jin Seok Kim, Junshik Hong and Kwang-Sung Ahn. Their work appears in journals such as Blood, Annals of Hematology, Journal of Korean Medical Science, Journal of Clinical Oncology and Leukemia Research.
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.