Chang‐Ki Min

80 total papers · 2.2k total citations
42 papers, 696 citations indexed

About

Chang‐Ki Min is a scholar working on Hematology, Oncology and Molecular Biology. According to data from OpenAlex, Chang‐Ki Min has authored 42 papers receiving a total of 696 indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Hematology, 18 papers in Oncology and 15 papers in Molecular Biology. Recurrent topics in Chang‐Ki Min's work include Multiple Myeloma Research and Treatments (22 papers), Hematopoietic Stem Cell Transplantation (16 papers) and Peptidase Inhibition and Analysis (10 papers). Chang‐Ki Min is often cited by papers focused on Multiple Myeloma Research and Treatments (22 papers), Hematopoietic Stem Cell Transplantation (16 papers) and Peptidase Inhibition and Analysis (10 papers). Chang‐Ki Min collaborates with scholars based in South Korea, United States and Netherlands. Chang‐Ki Min's co-authors include Shawn G. Clouthier, James L.M. Ferrara, Seok Lee, John Tra, Eun Young Choi, Gilbert S. Omenn, Samir Hanash, Rong Zhao, Hong Wang and Ulrich Duffner and has published in prestigious journals such as Nature Communications, Blood and Cancer.

In The Last Decade

Chang‐Ki Min

41 papers receiving 680 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Chang‐Ki Min	429	269	249	163	83	42	696
Marina Lanciotti	160 0.4×	267 1.0×	129 0.5×	205 1.3×	68 0.8×	51	731
Karl-Heinz Pflüger	399 0.9×	293 1.1×	216 0.9×	69 0.4×	132 1.6×	42	779
A Faille	258 0.6×	274 1.0×	227 0.9×	166 1.0×	86 1.0×	47	739
Jan‐Henrik Mikesch	194 0.5×	328 1.2×	211 0.8×	119 0.7×	53 0.6×	54	677
Mirosław Markiewicz	335 0.8×	74 0.3×	117 0.5×	220 1.3×	69 0.8×	67	678
Taina Jaatinen	184 0.4×	332 1.2×	105 0.4×	223 1.4×	142 1.7×	28	747
Olga Sala‐Torra	375 0.9×	229 0.9×	159 0.6×	150 0.9×	152 1.8×	30	697
Nicolas Chatain	249 0.6×	368 1.4×	137 0.6×	125 0.8×	266 3.2×	45	723
Dominic Wall	130 0.3×	316 1.2×	337 1.4×	139 0.9×	67 0.8×	39	725
Grégory Ehx	262 0.6×	263 1.0×	207 0.8×	293 1.8×	85 1.0×	39	681

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 of co-authors of Chang‐Ki Min

This figure shows the co-authorship network connecting the top 25 collaborators of Chang‐Ki Min. A scholar is included among the top collaborators of Chang‐Ki Min based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Chang‐Ki Min. Chang‐Ki Min is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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