C-K Min

1.2k citations
26 papers · 848 · h-index 16

Impact in

  • Hematology top 2%
    • Hematopoietic Stem Cell Transplantation
    • Acute Myeloid Leukemia Research
    • Chronic Myeloid Leukemia Treatments
    • Renal Transplantation Outcomes and Treatments

Papers in

C-K Min

24 papers receiving 837 citations

Peers

C-K Min
Comparison fields: 5 of 61
  • Hematology 572
  • Transplantation 61
  • Genetics 163
  • Immunology 199
  • Public Health, Environmental and Occupational Health 194
Replace Satoshi Nishiwaki with:
Satoshi Nishiwaki Japan
Daniel Couriel United States
B Dey United States
Gabrielle Meyers United States
Jean Pierre Jouet France
A Chaudhry Canada
WY Au China
Man Updesh Singh Sachdeva India
Els van Beelen Netherlands
SE Sallan United States
C-K Min relative to Satoshi Nishiwaki Japan Satoshi Nishiwaki's profile →
Citations per field
00.5×1.5×2.0×
Satoshi Nishiwaki · 1×
Citations per year

Countries citing papers authored by C-K Min

Since Specialization
Citations

This map shows the geographic impact of C-K Min'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 C-K Min with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites C-K Min more than expected).

Fields of papers citing papers by C-K Min

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by C-K Min. 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 C-K Min. The network helps show where C-K Min may publish in the future.

Co-authors

The 25 scholars most cited alongside C-K Min, 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 C-K Min Line = papers co-authored together C-K Min links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007103
2 200892
3 200184
4 201282
5 201273
6 200857
7 200955
8 200653
9 201431
10 201031
11 200125
12 201222
13 201020
14 201318
15 201617
16 200616
17 201514
18 201212
19 200712
20 201610

About C-K Min

C-K Min is a scholar working on Hematology, Public Health, Environmental and Occupational Health, Oncology, Immunology and Molecular Biology, having authored 26 papers that have together received 848 indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (15 papers), Acute Myeloid Leukemia Research (8 papers), Acute Lymphoblastic Leukemia research (8 papers), Chronic Myeloid Leukemia Treatments (5 papers), Vascular Tumors and Angiosarcomas (3 papers), Polyomavirus and related diseases (2 papers), Renal Transplantation Outcomes and Treatments (2 papers) and Multiple Myeloma Research and Treatments (2 papers). The work is most often cited by research in Hematology (572 citations), Transplantation (61 citations), Genetics (163 citations), Immunology (199 citations) and Public Health, Environmental and Occupational Health (194 citations). C-K Min has collaborated with scholars based in South Korea, United States and United Kingdom. Frequent co-authors include YJ Kim, K-S Eom, W-S Min, B-S Cho, JW Lee, C-C Kim, Bin Cho, Se Lee, Sae-Mi Lee and Seung‐Hwan Lee. Their work appears in journals such as Bone Marrow Transplantation, Leukemia, ESMO Open and Mucosal Immunology.

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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