Hack-Ki Kim
Impact in
- Hematology top 10%
- Hematopoietic Stem Cell Transplantation
- Acute Myeloid Leukemia Research
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- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
Papers in
- Hematology 11
- Hematopoietic Stem Cell Transplantation 9
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- Cytomegalovirus and herpesvirus research 5
- Herpesvirus Infections and Treatments 3
- Co-authors
- Bin Cho (32 shared papers)Jae Wook Lee (26 shared papers)Nack‐Gyun Chung (17 shared papers)Dae-Chul Jeong (17 shared papers)Pil‐Sang Jang (18 shared papers)Jin Han Kang (10 shared papers)Seung Beom Han (7 shared papers)Chul‐Woo Pyo (2 shared papers)
- Journals
- Korean Journal of Pediatrics (8 papers)Blood (4 papers)Human Immunology (3 papers)Journal of Pediatric Hematology/Oncology (2 papers)BMC Infectious Diseases (2 papers)
- Partner nations
- South KoreaUnited StatesUnited Kingdom
In The Last Decade
Hack-Ki Kim
32 papers receiving 320 citations
Peers
Comparison fields: 5 of 62
- Hematology 71
- Immunology 62
- Gastroenterology 12
- Oncology 56
- Clinical Biochemistry 14
Countries citing papers authored by Hack-Ki Kim
This map shows the geographic impact of Hack-Ki 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 Hack-Ki Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hack-Ki Kim more than expected).
Fields of papers citing papers by Hack-Ki Kim
This network shows the impact of papers produced by Hack-Ki 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 Hack-Ki Kim. The network helps show where Hack-Ki Kim may publish in the future.
Co-authors
The 25 scholars most cited alongside Hack-Ki 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
Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2003 | 54 | |
| 2 | 2013 | 25 | |
| 3 | 2010 | 23 | |
| 4 | 2015 | 16 | |
| 5 | 2011 | 16 | |
| 6 | 2017 | 15 | |
| 7 | 2014 | 14 | |
| 8 | 2013 | 13 | |
| 9 | 2009 | 12 | |
| 10 | 2007 | 12 | |
| 11 | 2016 | 11 | |
| 12 | 2014 | 11 | |
| 13 | 2016 | 10 | |
| 14 | 2010 | 9 | |
| 15 | 2011 | 9 | |
| 16 | 2000 | 9 | |
| 17 | 2016 | 9 | |
| 18 | 2012 | 9 | |
| 19 | 2014 | 8 | |
| 20 | 2012 | 8 |
About Hack-Ki Kim
Hack-Ki Kim is a scholar working on Hematology, Epidemiology, Oncology, Immunology and Pediatrics, Perinatology and Child Health, having authored 35 papers that have together received 330 indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (9 papers), Cytomegalovirus and herpesvirus research (5 papers), Neutropenia and Cancer Infections (4 papers), Herpesvirus Infections and Treatments (3 papers), Polyomavirus and related diseases (2 papers), T-cell and B-cell Immunology (2 papers), Intestinal Malrotation and Obstruction Disorders (2 papers) and Antifungal resistance and susceptibility (2 papers). The work is most often cited by research in Hematology (71 citations), Immunology (62 citations), Gastroenterology (12 citations), Oncology (56 citations) and Clinical Biochemistry (14 citations). Hack-Ki Kim has collaborated with scholars based in South Korea, United States and United Kingdom. Frequent co-authors include Bin Cho, Jae Wook Lee, Nack‐Gyun Chung, Dae-Chul Jeong, Pil‐Sang Jang, Jin Han Kang, Seung Beom Han, Chul‐Woo Pyo, Tai‐Gyu Kim and Dong‐Gun Lee. Their work appears in journals such as Korean Journal of Pediatrics, Blood, Human Immunology, Journal of Pediatric Hematology/Oncology and BMC Infectious Diseases.
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.