Yeo‐Kyeoung Kim
- Hematology top 1%
- Acute Myeloid Leukemia Research 28
- Multiple Myeloma Research and Treatments 18
- Chronic Myeloid Leukemia Treatments 11
- Genetics top 5%
- Myeloproliferative Neoplasms: Diagnosis and Treatment 12
- Immunology top 10%
- Immunotherapy and Immune Responses 11
- Oncology top 10%
- Pathology and Forensic Medicine top 10%
- Lymphoma Diagnosis and Treatment 9
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- Protein Degradation and Inhibitors 11
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- Acute Lymphoblastic Leukemia research 9
- Co-authors
- Hyeoung‐Joon KimJe‐Jung LeeDeok‐Hwan YangJae‐Sook AhnSung‐Hoon JungJae-Sook AhnJoon Ho MoonIk‐Joo Chung
- Cited by
- HematologyGeneticsImmunology
- Journals
- Blood (34 papers)Annals of Hematology (12 papers)Journal of Korean Medical Science (5 papers)
- Partner nations
- South KoreaCanadaUnited States
In The Last Decade
Yeo‐Kyeoung Kim
90 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 73
- Hematology 675
- Genetics 253
- Immunology 243
- Oncology 261
- Pathology and Forensic Medicine 131
Countries citing papers authored by Yeo‐Kyeoung Kim
This map shows the geographic impact of Yeo‐Kyeoung 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 Yeo‐Kyeoung Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yeo‐Kyeoung Kim more than expected).
Fields of papers citing papers by Yeo‐Kyeoung Kim
This network shows the impact of papers produced by Yeo‐Kyeoung 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 Yeo‐Kyeoung Kim. The network helps show where Yeo‐Kyeoung Kim may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Yeo‐Kyeoung 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 | 2018 | 77 | |
| 2 | 2017 | 1 | |
| 3 | 2017 | 1 | |
| 4 | 2017 | 19 | |
| 5 | 2016 | 1 | |
| 6 | 2015 | 1 | |
| 7 | 2015 | 20 | |
| 8 | 2015 | 11 | |
| 9 | 2015 | 37 | |
| 10 | 2013 | 1 | |
| 11 | 2012 | 12 | |
| 12 | 2012 | 49 | |
| 13 | 2011 | 3 | |
| 14 | 2011 | 40 | |
| 15 | 2009 | 13 | |
| 16 | 2009 | 8 | |
| 17 | 2006 | 1 | |
| 18 | The Clinical Efficacy of R-CHOP Chemotherapy in Patients with Previously Untreated Diffuse Large B-cell Lymphoma | 2004 | 2 |
| 19 | 2004 | 6 | |
| 20 | Granulocyte transfusions from G-CSF- and dexamethasone-stimulated healthy donors for treatment of patients with severe neutropenia-related infections | 2003 | 1 |
About Yeo‐Kyeoung Kim
Yeo‐Kyeoung Kim is a scholar working on Hematology, Genetics and Oncology, having authored 91 papers that have together received 1.2k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (28 papers), Multiple Myeloma Research and Treatments (18 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (12 papers), Immunotherapy and Immune Responses (11 papers), Chronic Myeloid Leukemia Treatments (11 papers), Protein Degradation and Inhibitors (11 papers), Acute Lymphoblastic Leukemia research (9 papers) and Lymphoma Diagnosis and Treatment (9 papers). The work is most often cited by research in Hematology (675 citations), Genetics (253 citations) and Immunology (243 citations). Yeo‐Kyeoung Kim has collaborated with scholars based in South Korea, Canada and United States. Frequent co-authors include Hyeoung‐Joon Kim, Je‐Jung Lee, Deok‐Hwan Yang, Jae‐Sook Ahn, Sung‐Hoon Jung, Jae-Sook Ahn, Deok‐Hwan Yang, Joon Ho Moon, Ik‐Joo Chung and Dennis Dong Hwan Kim. Their work appears in journals such as Blood, Annals of Hematology, Journal of Korean Medical Science, Leukemia Research and Cancer Research and Treatment.
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.