Seung Bin
Impact in
- Molecular Medicine top 10%
- Antibiotic Resistance in Bacteria
- Infectious Diseases top 10%
- Tuberculosis Research and Epidemiology
Papers in
-
- Tuberculosis Research and Epidemiology 11
- Viral gastroenteritis research and epidemiology 5
- Epidemiology 12
- Mycobacterium research and diagnosis 11
- Co-authors
- Han Sang Yoo (12 shared papers)Sung Jae Shin (11 shared papers)Kee Woong Kwon (9 shared papers)Hongmin Kim (6 shared papers)Seung Jung Han (8 shared papers)Woo Sik Kim (7 shared papers)Nabin Rayamajhi (5 shared papers)Seung Won Shin (7 shared papers)
- Journals
- Applied and Environmental Microbiology (3 papers)PLoS ONE (3 papers)Journal of Veterinary Diagnostic Investigation (2 papers)Oncotarget (2 papers)Stem Cells (1 paper)
- Partner nations
- South KoreaEthiopiaPuerto Rico
In The Last Decade
Seung Bin
28 papers receiving 428 citations
Peers
Comparison fields: 5 of 52
- Molecular Medicine 66
- Infectious Diseases 200
- Endocrinology 52
- Immunology 156
- Microbiology 44
Countries citing papers authored by Seung Bin
This map shows the geographic impact of Seung Bin'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 Seung Bin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Seung Bin more than expected).
Fields of papers citing papers by Seung Bin
This network shows the impact of papers produced by Seung Bin. 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 Seung Bin. The network helps show where Seung Bin may publish in the future.
Co-authors
The 25 scholars most cited alongside Seung Bin, 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 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 40 | |
| 2 | 2016 | 32 | |
| 3 | 2010 | 31 | |
| 4 | 2015 | 27 | |
| 5 | 2011 | 27 | |
| 6 | 2012 | 27 | |
| 7 | 2016 | 25 | |
| 8 | 2013 | 20 | |
| 9 | 2016 | 20 | |
| 10 | 2023 | 19 | |
| 11 | 2015 | 19 | |
| 12 | 2015 | 16 | |
| 13 | 2011 | 16 | |
| 14 | 2011 | 15 | |
| 15 | 2013 | 14 | |
| 16 | 2015 | 12 | |
| 17 | 2009 | 12 | |
| 18 | 2015 | 11 | |
| 19 | 2024 | 9 | |
| 20 | 2015 | 9 |
About Seung Bin
Seung Bin is a scholar working on Infectious Diseases, Epidemiology, Immunology, Endocrinology and Molecular Biology, having authored 29 papers that have together received 433 indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (11 papers), Mycobacterium research and diagnosis (11 papers), Escherichia coli research studies (7 papers), Bacteriophages and microbial interactions (5 papers), Viral gastroenteritis research and epidemiology (5 papers), Antibiotic Resistance in Bacteria (4 papers), Immunotherapy and Immune Responses (3 papers) and vaccines and immunoinformatics approaches (3 papers). The work is most often cited by research in Molecular Medicine (66 citations), Infectious Diseases (200 citations), Endocrinology (52 citations), Immunology (156 citations) and Microbiology (44 citations). Seung Bin has collaborated with scholars based in South Korea, Ethiopia and Puerto Rico. Frequent co-authors include Han Sang Yoo, Sung Jae Shin, Kee Woong Kwon, Hongmin Kim, Seung Jung Han, Woo Sik Kim, Nabin Rayamajhi, Seung Won Shin, So Jeong Kim and Jong-Seok Kim. Their work appears in journals such as Applied and Environmental Microbiology, PLoS ONE, Journal of Veterinary Diagnostic Investigation, Oncotarget and Stem Cells.
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.