Chang‐Ki Min

2.3k citations
43 papers · 698 indexed · h-index 16
  • Hematology top 2%
    • Multiple Myeloma Research and Treatments 23
    • Hematopoietic Stem Cell Transplantation 16
  • Oncology top 10%
    • Peptidase Inhibition and Analysis 10
    • Cancer Treatment and Pharmacology 3
  • Genetics top 10%
    • Immune Cell Function and Interaction 8
    • Immunotherapy and Immune Responses 4
    • T-cell and B-cell Immunology 4
  • Spectroscopy top 10%
    • Protein Degradation and Inhibitors 8

Chang‐Ki Min

41 papers receiving 683 citations

Peers

Chang‐Ki Min
Comparison fields: 5 of 74
  • Hematology 430
  • Oncology 251
  • Genetics 83
  • Immunology 163
  • Spectroscopy 71
Replace Remco Visser with:
Remco Visser Netherlands
Eric Laille United States
Geoffroy Venton France
Charlotte Guldborg Nyvold Denmark
Mindy Kohlhagen United States
Ron MacFarland United States
Agata Wrzesień‐Kuś Poland
Cristina Bugarin Italy
Rikke Riisbro Denmark
John S. Senn Canada
Chang‐Ki Min relative to Remco Visser Netherlands Remco Visser's profile →
Citations per field
00.5×5.3×
Remco Visser · 1×
Citations per year

Countries citing papers authored by Chang‐Ki Min

Since Specialization
Citations

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

Fields of papers citing papers by Chang‐Ki Min

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chang‐Ki 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 Chang‐Ki Min. The network helps show where Chang‐Ki Min may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 201993
4 201711
5 201728
6 20163
7 20153
8 201519
9 20157
10 20157
11 20143
12 20146
13 20114
14 20117
15 201025
16 200717
17 200635
18 200628
19 2005113
20 200215

About Chang‐Ki Min

Chang‐Ki Min is a scholar working on Hematology, Oncology and Immunology, having authored 43 papers that have together received 698 indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (23 papers), Hematopoietic Stem Cell Transplantation (16 papers), Peptidase Inhibition and Analysis (10 papers), Immune Cell Function and Interaction (8 papers), Protein Degradation and Inhibitors (8 papers), Immunotherapy and Immune Responses (4 papers), T-cell and B-cell Immunology (4 papers) and Cancer Treatment and Pharmacology (3 papers). The work is most often cited by research in Hematology (430 citations), Oncology (251 citations) and Genetics (83 citations). Chang‐Ki Min has collaborated with scholars based in South Korea, United States and Ethiopia. Frequent co-authors include Shawn G. Clouthier, James L.M. Ferrara, Seok Lee, Ulrich Duffner, Hong Wang, Gilbert S. Omenn, David E. Misek, Rong Zhao, Samir Hanash and Eun Young Choi. Their work appears in journals such as Nature Communications, Blood and Cancer.

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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