Dong‐Wook Kim
- Hematology top 0.02%
- Chronic Myeloid Leukemia Treatments 212
- Acute Myeloid Leukemia Research 63
- Hematopoietic Stem Cell Transplantation 60
- Genetics top 0.05%
- Chronic Lymphocytic Leukemia Research 158
- Myeloproliferative Neoplasms: Diagnosis and Treatment 24
- Rheumatology top 0.1%
- Eosinophilic Disorders and Syndromes 71
- Oncology top 2%
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- Acute Lymphoblastic Leukemia research 74
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- Lymphoma Diagnosis and Treatment 16
- Co-authors
- Andreas HochhausHagop M. KantarjianJörge E. CortesTimothy P. HughesGiuseppe SaglioRicardo PasqüiniCarlo Gambacorti‐PasseriniTim H. Brümmendorf
- Cited by
- HematologyGeneticsRheumatology
- Partner nations
- South KoreaUnited StatesGermany
In The Last Decade
Dong‐Wook Kim
348 papers receiving 11.0k citations
Hit Papers
Peers
Comparison fields: 5 of 150
- Hematology 8.4k
- Genetics 6.4k
- Rheumatology 4.0k
- Oncology 1.6k
- Public Health, Environmental and Occupational Health 1.3k
Countries citing papers authored by Dong‐Wook Kim
This map shows the geographic impact of Dong‐Wook 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 Dong‐Wook Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dong‐Wook Kim more than expected).
Fields of papers citing papers by Dong‐Wook Kim
This network shows the impact of papers produced by Dong‐Wook 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 Dong‐Wook Kim. The network helps show where Dong‐Wook Kim may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Dong‐Wook 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 | 2025 | 0 | |
| 2 | 2024 | 2 | |
| 3 | 2022 | 4 | |
| 4 | 2022 | 9 | |
| 5 | 2021 | 43 | |
| 6 | 2021 | 26 | |
| 7 | 2020 | 20 | |
| 8 | 2019 | 84 | |
| 9 | 2018 | 3 | |
| 10 | 2018 | 15 | |
| 11 | 2018 | 26 | |
| 12 | 2017 | 1 | |
| 13 | 2017 | 1 | |
| 14 | 2013 | 1 | |
| 15 | 2012 | 43 | |
| 16 | 2011 | 80 | |
| 17 | 2009 | 236 | |
| 18 | 2009 | 127 | |
| 19 | Comparison of steady-state imatinib (IM) trough levels, clinical response, and safety between Caucasian and Asian patients with chronic myeloid leukemia in chronic phase (CML-CP) treated with 400mg and 800mg daily doses of IM in the tyrosine kinase inhibi | 2009 | 3 |
| 20 | 2004 | 371 |
About Dong‐Wook Kim
Dong‐Wook Kim is a scholar working on Hematology, Genetics and Rheumatology, having authored 361 papers that have together received 11.3k indexed citations. Recurring topics across this work include Chronic Myeloid Leukemia Treatments (212 papers), Chronic Lymphocytic Leukemia Research (158 papers), Acute Lymphoblastic Leukemia research (74 papers), Eosinophilic Disorders and Syndromes (71 papers), Acute Myeloid Leukemia Research (63 papers), Hematopoietic Stem Cell Transplantation (60 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (24 papers) and Lymphoma Diagnosis and Treatment (16 papers). The work is most often cited by research in Hematology (8.4k citations), Genetics (6.4k citations) and Rheumatology (4.0k citations). Dong‐Wook Kim has collaborated with scholars based in South Korea, United States and Germany. Frequent co-authors include Andreas Hochhaus, Hagop M. Kantarjian, Jörge E. Cortes, Timothy P. Hughes, Giuseppe Saglio, Ricardo Pasqüini, Carlo Gambacorti‐Passerini, Tim H. Brümmendorf, Susan Branford and Michele Baccarani. Their work appears in journals such as Nature, New England Journal of Medicine and Cell.
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.