Seok-Yong Eum
Impact in
- Infectious Diseases top 2%
- Tuberculosis Research and Epidemiology
- Immunology top 10%
- Neutrophil, Myeloperoxidase and Oxidative Mechanisms
- Immune Response and Inflammation
Papers in
-
- Tuberculosis Research and Epidemiology 15
-
- Mycobacterium research and diagnosis 9
- Pneumocystis jirovecii pneumonia detection and treatment 1
- Co-authors
- Sang-Nae Cho (8 shared papers)Laura E. Via (5 shared papers)Clifton E. Barry (5 shared papers)Soo-Hee Hwang (3 shared papers)Ye Jin Lee (3 shared papers)Jin Hee Kim (1 shared paper)Jean Lefort (3 shared papers)Michel Huerre (1 shared paper)
- Journals
- PLoS ONE (3 papers)Respiration (2 papers)Tuberculosis (1 paper)Nature Communications (1 paper)Journal of Clinical Microbiology (1 paper)
- Partner nations
- South KoreaUnited StatesFrance
In The Last Decade
Seok-Yong Eum
22 papers receiving 975 citations
Peers
Comparison fields: 5 of 76
- Infectious Diseases 562
- Immunology 304
- Epidemiology 425
- Molecular Medicine 48
- Immunology and Allergy 52
Countries citing papers authored by Seok-Yong Eum
This map shows the geographic impact of Seok-Yong Eum'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 Seok-Yong Eum with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Seok-Yong Eum more than expected).
Fields of papers citing papers by Seok-Yong Eum
This network shows the impact of papers produced by Seok-Yong Eum. 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 Seok-Yong Eum. The network helps show where Seok-Yong Eum may publish in the future.
Co-authors
The 25 scholars most cited alongside Seok-Yong Eum, 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 392 | |
| 2 | 1995 | 171 | |
| 3 | 2019 | 80 | |
| 4 | 2009 | 64 | |
| 5 | 2011 | 51 | |
| 6 | 2010 | 39 | |
| 7 | 2015 | 27 | |
| 8 | 1996 | 23 | |
| 9 | 2010 | 22 | |
| 10 | 2012 | 18 | |
| 11 | 2015 | 16 | |
| 12 | 2018 | 15 | |
| 13 | 2008 | 14 | |
| 14 | 2020 | 9 | |
| 15 | 2015 | 9 | |
| 16 | 2014 | 9 | |
| 17 | 2013 | 7 | |
| 18 | 2013 | 6 | |
| 19 | 2010 | 6 | |
| 20 | 2011 | 5 |
About Seok-Yong Eum
Seok-Yong Eum is a scholar working on Infectious Diseases, Epidemiology, Surgery, Immunology and Molecular Biology, having authored 22 papers that have together received 989 indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (15 papers), Mycobacterium research and diagnosis (9 papers), Infectious Diseases and Tuberculosis (6 papers), Toxin Mechanisms and Immunotoxins (2 papers), Asthma and respiratory diseases (2 papers), Antibiotic Resistance in Bacteria (2 papers), Pneumocystis jirovecii pneumonia detection and treatment (1 paper) and Fungal Plant Pathogen Control (1 paper). The work is most often cited by research in Infectious Diseases (562 citations), Immunology (304 citations), Epidemiology (425 citations), Molecular Medicine (48 citations) and Immunology and Allergy (52 citations). Seok-Yong Eum has collaborated with scholars based in South Korea, United States and France. Frequent co-authors include Sang-Nae Cho, Laura E. Via, Clifton E. Barry, Soo-Hee Hwang, Ye Jin Lee, Jin Hee Kim, Jean Lefort, Michel Huerre, B. Boris Vargaftig and S. Hailé. Their work appears in journals such as PLoS ONE, Respiration, Tuberculosis, Nature Communications and Journal of Clinical 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.