Chang Mo Kang

726 total citations
25 papers, 599 citations indexed

About

Chang Mo Kang is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Cancer Research. According to data from OpenAlex, Chang Mo Kang has authored 25 papers receiving a total of 599 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 5 papers in Radiology, Nuclear Medicine and Imaging and 4 papers in Cancer Research. Recurrent topics in Chang Mo Kang's work include Radiopharmaceutical Chemistry and Applications (4 papers), Carcinogens and Genotoxicity Assessment (3 papers) and Electrospun Nanofibers in Biomedical Applications (3 papers). Chang Mo Kang is often cited by papers focused on Radiopharmaceutical Chemistry and Applications (4 papers), Carcinogens and Genotoxicity Assessment (3 papers) and Electrospun Nanofibers in Biomedical Applications (3 papers). Chang Mo Kang collaborates with scholars based in South Korea, Yemen and Czechia. Chang Mo Kang's co-authors include Min Sup Kim, Bon Kang Gu, Chun‐Ho Kim, Sang Jun Park, Jong‐Il Kim, Dong Jin Choi, Han Chul Son, Jin Hyen Baek, Jung‐Ae Kim and Kyu-Won Kim and has published in prestigious journals such as Annals of the New York Academy of Sciences, Carbohydrate Polymers and Inorganic Chemistry.

In The Last Decade

Chang Mo Kang

21 papers receiving 575 citations

Peers

Chang Mo Kang
Comparison fields: 5 of 93
  • Biomedical Engineering 235
  • Biomaterials 173
  • Molecular Biology 167
  • Automotive Engineering 109
  • Surgery 84
Replace Menghui Zhao with:
Menghui Zhao China
Xiangxue Meng China
K Bittner Germany
Kemal Baysal Türkiye
Cheng Peng China
Inga Marijanović Croatia
Qiujian Zheng China
Erin L. Hsu United States
Wenqiang Yan China
Jack Creagh-Flynn Ireland
Menghui Zhao China View profile →
Citations per field, relative to Chang Mo Kang
Chang Mo Kang · 1×
Citations per year, relative to Chang Mo Kang
Chang Mo Kang · 1×

Countries citing papers authored by Chang Mo Kang

Since Specialization
Citations

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

Fields of papers citing papers by Chang Mo Kang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chang Mo Kang. 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 Mo Kang. The network helps show where Chang Mo Kang may publish in the future.

Co-authorship network of co-authors of Chang Mo Kang

This figure shows the co-authorship network connecting the top 25 collaborators of Chang Mo Kang. A scholar is included among the top collaborators of Chang Mo Kang 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 Mo Kang. Chang Mo Kang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 2
3 0
4 0
5 1
6 1
7 7
8 20
9 178
10 22
11 150
12 20
13 2
14 46
15 2
16
Measurement of micronuclei by cytokinesis-block method in human, cattle, goat, pig, rabbit, chicken and fish peripheral blood lymphocytes irradiated in vitro with gamma radiation.
5
17 2
18 2
19 88
20 25

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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