Hack Ki Kim

688 citations
25 papers · 345 indexed · h-index 11

Impact in

  • Hematology top 10%
    • Hematopoietic Stem Cell Transplantation
  • Genetics top 10%
    • Mesenchymal stem cell research

Papers in

Hack Ki Kim

25 papers receiving 340 citations

Peers

Hack Ki Kim
Comparison fields: 5 of 56
  • Hematology 137
  • Genetics 91
  • Transplantation 12
  • Pediatrics, Perinatology and Child Health 75
  • Psychiatry and Mental health 48
Replace Rolla Abu‐Arja with:
Rolla Abu‐Arja United States
Alessandro Lanti Italy
Ayhan Dönmez Türkiye
Michaela Brown United Kingdom
Sven Gutsche Germany
Marie E. Malachowski United States
Dorothy J. Ganick United States
Marcus R. Vowels Australia
S. Desai Canada
Ana Beatriz P. L. Stracieri Brazil
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Citations per field
00.5×
Rolla Abu‐Arja · 1×
Citations per year

Countries citing papers authored by Hack Ki Kim

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Hack Ki Kim Line = papers co-authored together Hack Ki Kim links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200468
2 201250
3 200030
4 201030
5 201026
6 200921
7 199219
8 200818
9 201413
10 200212
11 201510
12 20139
13 20108
14 20097
15 20086
16 20036
17 20073
18 20102
19
Short-term Results of Hematopoietic Stem Cell Transplantation for Children with Myelodysplastic Syndrome
20021
20 20081

About Hack Ki Kim

Hack Ki Kim is a scholar working on Hematology, Pediatrics, Perinatology and Child Health, Public Health, Environmental and Occupational Health, Neurology and Radiological and Ultrasound Technology, having authored 25 papers that have together received 345 indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (9 papers), Acute Myeloid Leukemia Research (6 papers), Acute Lymphoblastic Leukemia research (6 papers), Childhood Cancer Survivors' Quality of Life (6 papers), Pharmacological Effects and Toxicity Studies (2 papers), Cancer therapeutics and mechanisms (2 papers), Transplantation: Methods and Outcomes (2 papers) and Cardiovascular Function and Risk Factors (2 papers). The work is most often cited by research in Hematology (137 citations), Genetics (91 citations), Transplantation (12 citations), Pediatrics, Perinatology and Child Health (75 citations) and Psychiatry and Mental health (48 citations). Hack Ki Kim has collaborated with scholars based in South Korea, United States and South Africa. Frequent co-authors include Bin Cho, Nak Gyun Chung, Jae Wook Lee, Dae Chul Jeong, Soo-Jeong Park, Byung Ock Choi, In Goo Lee, Soo Ah Im, Hyo Seop Ahn and Hee Young Shin. Their work appears in journals such as Korean Journal of Pediatrics, Journal of Korean Medical Science, International Journal of Hematology, Acta Haematologica and Annals of Laboratory Medicine.

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.

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