Minchul Seo
Impact in
- Physiology top 2%
- Calcium signaling and nucleotide metabolism
- Neurology top 5%
- Neuroinflammation and Neurodegeneration Mechanisms
Papers in
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- Bone Metabolism and Diseases 4
-
- Insect Utilization and Effects 12
- Co-authors
- Do‐Hyung Kim (5 shared papers)Chang Hwa Jung (5 shared papers)Ji‐Man Park (4 shared papers)Kyoungho Suk (15 shared papers)Neil Otto (3 shared papers)Young Mi Kim (3 shared papers)Jong‐Heon Kim (9 shared papers)Douglas Grunwald (2 shared papers)
- Journals
- Autophagy (4 papers)International Journal of Molecular Sciences (2 papers)Clinical and Experimental Pharmacology and Physiology (2 papers)Biochemical and Biophysical Research Communications (2 papers)Molecular Cell (1 paper)
- Partner nations
- South KoreaUnited StatesRussia
In The Last Decade
Minchul Seo
58 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 108
- Physiology 155
- Neurology 189
- Epidemiology 707
- Cell Biology 268
- Developmental Neuroscience 58
Countries citing papers authored by Minchul Seo
This map shows the geographic impact of Minchul Seo'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 Minchul Seo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Minchul Seo more than expected).
Fields of papers citing papers by Minchul Seo
This network shows the impact of papers produced by Minchul Seo. 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 Minchul Seo. The network helps show where Minchul Seo may publish in the future.
Co-authors
The 25 scholars most cited alongside Minchul Seo, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 59 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 272 | |
| 2 | 2014 | 218 | |
| 3 | 2011 | 143 | |
| 4 | 2017 | 141 | |
| 5 | 2018 | 136 | |
| 6 | 2014 | 110 | |
| 7 | 2017 | 89 | |
| 8 | 2013 | 80 | |
| 9 | 2017 | 71 | |
| 10 | 2012 | 49 | |
| 11 | 2012 | 40 | |
| 12 | 2015 | 39 | |
| 13 | 2016 | 36 | |
| 14 | 2007 | 29 | |
| 15 | 2019 | 24 | |
| 16 | 2017 | 23 | |
| 17 | 2014 | 23 | |
| 18 | 2020 | 17 | |
| 19 | 2010 | 14 | |
| 20 | 2017 | 13 |
About Minchul Seo
Minchul Seo is a scholar working on Molecular Biology, Insect Science, Neurology, Microbiology and Immunology, having authored 59 papers that have together received 1.8k indexed citations. Recurring topics across this work include Insect Utilization and Effects (12 papers), Neuroinflammation and Neurodegeneration Mechanisms (12 papers), Antimicrobial Peptides and Activities (11 papers), Autophagy in Disease and Therapy (7 papers), Invertebrate Immune Response Mechanisms (6 papers), Bone Metabolism and Diseases (4 papers), Endoplasmic Reticulum Stress and Disease (4 papers) and Immune cells in cancer (3 papers). The work is most often cited by research in Physiology (155 citations), Neurology (189 citations), Epidemiology (707 citations), Cell Biology (268 citations) and Developmental Neuroscience (58 citations). Minchul Seo has collaborated with scholars based in South Korea, United States and Russia. Frequent co-authors include Do‐Hyung Kim, Chang Hwa Jung, Ji‐Man Park, Kyoungho Suk, Neil Otto, Young Mi Kim, Jong‐Heon Kim, Douglas Grunwald, Eun Kyoung Kim and Sun Sik Bae. Their work appears in journals such as Autophagy, International Journal of Molecular Sciences, Clinical and Experimental Pharmacology and Physiology, Biochemical and Biophysical Research Communications and Molecular Cell.
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.