Hack-Ki Kim

529 citations
39 papers · 425 · h-index 12

Impact in

Papers in

    • Hematopoietic Stem Cell Transplantation 11
    • Genetic Associations and Epidemiology 3
    • Blood disorders and treatments 3

Hack-Ki Kim

36 papers receiving 413 citations

Peers

Hack-Ki Kim
Comparison fields: 5 of 50
  • Hematology 97
  • Gastroenterology 30
  • Oncology 79
  • Molecular Medicine 15
  • Infectious Diseases 39
Replace Maria Licciardello with:
Maria Licciardello Italy
A Domingo-Albós Spain
Kiriko Terasako‐Saito Japan
George Kartalis Greece
Yuko Ishihara Japan
Michel Starobinski Switzerland
Hyung Kil Kim South Korea
M Ostronoff Brazil
E. Scheibel Denmark
Friederike Frank Germany
Hack-Ki Kim relative to Maria Licciardello Italy Maria Licciardello's profile →
Citations per field
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Maria Licciardello · 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 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200355
2 201628
3 201327
4 201023
5 201120
6 201719
7 201518
8 201516
9 201415
10 201415
11 200914
12 201313
13 200712
14 201612
15 201211
16 201411
17 201611
18 201010
19 201110
20 201110

About Hack-Ki Kim

Hack-Ki Kim is a scholar working on Hematology, Genetics, Immunology, Oncology and Epidemiology, having authored 39 papers that have together received 425 indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (11 papers), Immunodeficiency and Autoimmune Disorders (4 papers), Antifungal resistance and susceptibility (3 papers), Acute Lymphoblastic Leukemia research (3 papers), Cytomegalovirus and herpesvirus research (3 papers), Genetic Associations and Epidemiology (3 papers), Blood disorders and treatments (3 papers) and Neutropenia and Cancer Infections (3 papers). The work is most often cited by research in Hematology (97 citations), Gastroenterology (30 citations), Oncology (79 citations), Molecular Medicine (15 citations) and Infectious Diseases (39 citations). Hack-Ki Kim has collaborated with scholars based in South Korea. Frequent co-authors include Bin Cho, Jae Wook Lee, Nack‐Gyun Chung, Pil‐Sang Jang, Dae-Chul Jeong, Jin Han Kang, Seung Beom Han, Dong-Gun Lee, Nak Gyun Chung and Seongkoo Kim. Their work appears in journals such as Korean Journal of Pediatrics, Blood, Human Immunology, Journal of Korean Medical Science and Journal of Pediatric Hematology/Oncology.

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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