Jin-Soo Maeng

429 total citations
9 papers, 310 citations indexed

About

Jin-Soo Maeng is a scholar working on Molecular Biology, Immunology and Physiology. According to data from OpenAlex, Jin-Soo Maeng has authored 9 papers receiving a total of 310 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 3 papers in Immunology and 2 papers in Physiology. Recurrent topics in Jin-Soo Maeng's work include Neutrophil, Myeloperoxidase and Oxidative Mechanisms (3 papers), Genetic Neurodegenerative Diseases (1 paper) and SARS-CoV-2 and COVID-19 Research (1 paper). Jin-Soo Maeng is often cited by papers focused on Neutrophil, Myeloperoxidase and Oxidative Mechanisms (3 papers), Genetic Neurodegenerative Diseases (1 paper) and SARS-CoV-2 and COVID-19 Research (1 paper). Jin-Soo Maeng collaborates with scholars based in South Korea and United States. Jin-Soo Maeng's co-authors include Rustom Falahati, Mark S. Williams, Chung-Hee Lee, Cheng‐Kui Qu, Jaeyul Kwon, Gun-Soo Park, Jong‐Hwan Lee, Keun Bon Ku, Seil Kim and Yujin Jung and has published in prestigious journals such as The EMBO Journal, Biochemistry and Free Radical Biology and Medicine.

In The Last Decade

Jin-Soo Maeng

9 papers receiving 304 citations

Peers

Jin-Soo Maeng
Comparison fields: 5 of 79
  • Molecular Biology 157
  • Infectious Diseases 101
  • Immunology 94
  • Biomedical Engineering 65
  • Physiology 25
Replace Marta Lualdi with:
Marta Lualdi Italy
M. Allegrucci Italy
Katharina M. Glaser Germany
Ilse Dingjan Netherlands
Vincent Francis Canada
Nikolay A. Anikanov Russia
Tushar H. More Germany
Albert Vallejo-Gracia United States
Meenu N. Perera United States
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Citations per field, relative to Jin-Soo Maeng
Jin-Soo Maeng · 1×
Citations per year, relative to Jin-Soo Maeng
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Countries citing papers authored by Jin-Soo Maeng

Since Specialization
Citations

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

Fields of papers citing papers by Jin-Soo Maeng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jin-Soo Maeng. 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 Jin-Soo Maeng. The network helps show where Jin-Soo Maeng may publish in the future.

Co-authorship network of co-authors of Jin-Soo Maeng

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

All Works

9 of 9 papers shown
# Work Indexed citations
1 1
2 9
3 104
4 3
5 13
6 38
7
Biochemical and genetic characterization of arazyme, an extracellular metalloprotease produced from Serratia proteamaculans HY-3.
29
8 100
9 13

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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