Minuk Ma

29 total papers · 756 total citations
14 papers, 227 citations indexed

About

Minuk Ma is a scholar working on Radiology, Nuclear Medicine and Imaging, Oncology and Artificial Intelligence. According to data from OpenAlex, Minuk Ma has authored 14 papers receiving a total of 227 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Radiology, Nuclear Medicine and Imaging, 8 papers in Oncology and 5 papers in Artificial Intelligence. Recurrent topics in Minuk Ma's work include Radiomics and Machine Learning in Medical Imaging (9 papers), Cancer Immunotherapy and Biomarkers (7 papers) and Domain Adaptation and Few-Shot Learning (3 papers). Minuk Ma is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (9 papers), Cancer Immunotherapy and Biomarkers (7 papers) and Domain Adaptation and Few-Shot Learning (3 papers). Minuk Ma collaborates with scholars based in South Korea, United States and Canada. Minuk Ma's co-authors include Kyungsu Kim, Junyeong Kim, Chang D. Yoo, Sung-Jin Kim, Trung X. Pham, Chan‐Young Ock, Soo Ick Cho, Seonwook Park, Sangjoon Choi and Sérgio Pereira and has published in prestigious journals such as Journal of Clinical Oncology, European Journal of Cancer and Histopathology.

In The Last Decade

Minuk Ma

14 papers receiving 225 citations

Author Peers

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

Author						Papers	Cites
Minuk Ma	113	111	63	59	30	14	227
Can Koyuncu	68 0.6×	120 1.1×	104 1.7×	58 1.0×	20 0.7×	21	244
Ran Gu	109 1.0×	118 1.1×	132 2.1×	50 0.8×	47 1.6×	30	318
Jesper Molin	68 0.6×	242 2.2×	122 1.9×	39 0.7×	25 0.8×	18	314
Shahira Abousamra	140 1.2×	219 2.0×	109 1.7×	54 0.9×	33 1.1×	23	319
Niccolò Marini	74 0.7×	157 1.4×	102 1.6×	27 0.5×	14 0.5×	20	210
Shazia Akbar	103 0.9×	148 1.3×	115 1.8×	34 0.6×	19 0.6×	20	267
Haoran Huang	32 0.3×	143 1.3×	42 0.7×	53 0.9×	21 0.7×	11	253
M. Milagro Fernández-Carrobles	122 1.1×	206 1.9×	86 1.4×	52 0.9×	16 0.5×	18	315
Arwa Shana’ah	89 0.8×	176 1.6×	86 1.4×	50 0.8×	25 0.8×	16	253
Fengqi Fang	62 0.5×	62 0.6×	34 0.5×	80 1.4×	32 1.1×	19	240

Countries citing papers authored by Minuk Ma

Since Specialization

Citations

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

Fields of papers citing papers by Minuk Ma

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Minuk Ma. 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 Minuk Ma. The network helps show where Minuk Ma may publish in the future.

Co-authorship network of co-authors of Minuk Ma

This figure shows the co-authorship network connecting the top 25 collaborators of Minuk Ma. A scholar is included among the top collaborators of Minuk Ma 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 Minuk Ma. Minuk Ma 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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