Moo‐Seung Lee
Impact in
- Endocrinology top 0.5%
- Escherichia coli research studies
- Vibrio bacteria research studies
- Infectious Diseases top 5%
- Viral gastroenteritis research and epidemiology
Papers in
-
- Heme Oxygenase-1 and Carbon Monoxide 3
-
- Viral gastroenteritis research and epidemiology 19
- Co-authors
- Vernon L. Tesh (17 shared papers)Rama P. Cherla (9 shared papers)Ji Hyung Kim (10 shared papers)Jun‐Seob Kim (4 shared papers)Sang-Yun Lee (1 shared paper)Dinorah Leyva‐Illades (5 shared papers)Myung Hee Kim (4 shared papers)Doo‐Jin Kim (11 shared papers)
- Journals
- Infection and Immunity (6 papers)Toxins (5 papers)Frontiers in Immunology (4 papers)Cellular Microbiology (3 papers)Frontiers in Microbiology (2 papers)
- Partner nations
- South KoreaUnited StatesSwitzerland
In The Last Decade
Moo‐Seung Lee
61 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 111
- Endocrinology 506
- Infectious Diseases 476
- Immunology 332
- Biotechnology 140
- Molecular Medicine 39
Countries citing papers authored by Moo‐Seung Lee
This map shows the geographic impact of Moo‐Seung Lee'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 Moo‐Seung Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Moo‐Seung Lee more than expected).
Fields of papers citing papers by Moo‐Seung Lee
This network shows the impact of papers produced by Moo‐Seung Lee. 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 Moo‐Seung Lee. The network helps show where Moo‐Seung Lee may publish in the future.
Co-authors
The 25 scholars most cited alongside Moo‐Seung Lee, 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 65 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 134 | |
| 2 | 2015 | 123 | |
| 3 | 2020 | 120 | |
| 4 | 2016 | 76 | |
| 5 | 2017 | 68 | |
| 6 | 2019 | 67 | |
| 7 | 2015 | 53 | |
| 8 | 2017 | 50 | |
| 9 | 2011 | 43 | |
| 10 | 2021 | 42 | |
| 11 | 2020 | 37 | |
| 12 | 2017 | 37 | |
| 13 | 2011 | 34 | |
| 14 | 2021 | 32 | |
| 15 | 2023 | 32 | |
| 16 | 2017 | 30 | |
| 17 | 2009 | 28 | |
| 18 | 2019 | 27 | |
| 19 | 2022 | 27 | |
| 20 | 2012 | 26 |
About Moo‐Seung Lee
Moo‐Seung Lee is a scholar working on Molecular Biology, Infectious Diseases, Endocrinology, Immunology and Epidemiology, having authored 65 papers that have together received 1.5k indexed citations. Recurring topics across this work include Viral gastroenteritis research and epidemiology (19 papers), Escherichia coli research studies (18 papers), Vibrio bacteria research studies (6 papers), Endoplasmic Reticulum Stress and Disease (6 papers), Immune Cell Function and Interaction (6 papers), Microbial Metabolism and Applications (4 papers), Biosensors and Analytical Detection (3 papers) and Heme Oxygenase-1 and Carbon Monoxide (3 papers). The work is most often cited by research in Endocrinology (506 citations), Infectious Diseases (476 citations), Immunology (332 citations), Biotechnology (140 citations) and Molecular Medicine (39 citations). Moo‐Seung Lee has collaborated with scholars based in South Korea, United States and Switzerland. Frequent co-authors include Vernon L. Tesh, Rama P. Cherla, Ji Hyung Kim, Jun‐Seob Kim, Sang-Yun Lee, Dinorah Leyva‐Illades, Myung Hee Kim, Doo‐Jin Kim, Jong‐Hwan Park and Kyung‐Soo Lee. Their work appears in journals such as Infection and Immunity, Toxins, Frontiers in Immunology, Cellular Microbiology and Frontiers in Microbiology.
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.