Min‐Sung Kwon

41 papers receiving 1.7k citations

Min‐Sung Kwon's Hit Papers

Assembly and aggregation properties of synthetic Alzheimer's A4/beta amyloid peptide analogs. 1992 · 860 citations
8600+11+22Years since publication250500750

Peers

Min‐Sung Kwon
Comparison fields: 5 of 108
  • Physiology 870
  • Biological Psychiatry 43
  • Immunology and Allergy 90
  • Molecular Biology 924
  • Neurology 103
Replace Francine Gervais with:
Francine Gervais Canada
Richard W. Scott United States
Chinmoy Sankar Dey India
Fernando L. Palhano Brazil
Daria Esterházy United States
Kirk A. Findlay United States
Brian Austen United Kingdom
Sang‐Youel Park South Korea
Peter Butko United States
Angelo Palmigiano Italy
Min‐Sung Kwon relative to Francine Gervais Canada Francine Gervais's profile →
Citations per field
00.5×3.6×
Francine Gervais · 1×
Citations per year

Countries citing papers authored by Min‐Sung Kwon

Since Specialization
Citations

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

Fields of papers citing papers by Min‐Sung Kwon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Assembly and aggregation properties of synthetic Alzheimer's A4/beta amyloid peptide analogs.
Hit paper breakdown →
1992860
2 202081
3 201778
4 201570
5 201857
6 202139
7 201338
8 201836
9 201334
10 201732
11 201630
12 202228
13 200927
14 200925
15 201823
16 201623
17 201619
18 201618
19 202017
20 201016

About Min‐Sung Kwon

Min‐Sung Kwon is a scholar working on Molecular Biology, Immunology and Allergy, Immunology, Food Science and Ecology, having authored 43 papers that have together received 1.7k indexed citations. Recurring topics across this work include Gut microbiota and health (10 papers), Genomics and Phylogenetic Studies (7 papers), Probiotics and Fermented Foods (7 papers), Dermatology and Skin Diseases (5 papers), Cell Adhesion Molecules Research (5 papers), T-cell and B-cell Immunology (5 papers), Microbial Community Ecology and Physiology (4 papers) and Cellular Mechanics and Interactions (4 papers). The work is most often cited by research in Physiology (870 citations), Biological Psychiatry (43 citations), Immunology and Allergy (90 citations), Molecular Biology (924 citations) and Neurology (103 citations). Min‐Sung Kwon has collaborated with scholars based in South Korea, Hungary and United States. Frequent co-authors include John R. Yates, Brian Soreghan, Debra Burdick, Joseph V. Kosmoski, C.G. Glabe, Agnes Henschen, Mary F. Knauer, Carl W. Cotman, Chang‐Duk Jun and Hak‐Jong Choi. Their work appears in journals such as The Journal of Microbiology, PLoS ONE, Scientific Reports, Journal of Functional Foods and Journal of Cellular Biochemistry.

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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