Sun‐Je Woo
Impact in
- Parasitology top 5%
- Vector-borne infectious diseases
- Immunology top 10%
- Immunotherapy and Immune Responses
- Toxin Mechanisms and Immunotoxins
- Immune Cell Function and Interaction
Papers in
-
- Bacillus and Francisella bacterial research 4
- RNA Interference and Gene Delivery 3
-
- Immunotherapy and Immune Responses 4
- Toxin Mechanisms and Immunotoxins 2
- Immune Cell Function and Interaction 2
- Co-authors
- Myung‐Sik Choi (3 shared papers)Seung‐Yong Seong (3 shared papers)I S Kim (3 shared papers)Cheol‐Heui Yun (4 shared papers)Seung Hyun Han (4 shared papers)Tai‐Gyu Kim (4 shared papers)Manki Song (2 shared papers)Sang Hwan Seo (2 shared papers)
- Journals
- Journal of Clinical Microbiology (2 papers)European Journal of Immunology (2 papers)Biochemical and Biophysical Research Communications (1 paper)BMC Medicine (1 paper)Journal of Agricultural and Food Chemistry (1 paper)
- Partner nations
- South KoreaEthiopiaUnited States
In The Last Decade
Sun‐Je Woo
17 papers receiving 509 citations
Peers
Comparison fields: 5 of 68
- Parasitology 129
- Immunology 197
- Infectious Diseases 78
- Microbiology 27
- Food Science 57
Countries citing papers authored by Sun‐Je Woo
This map shows the geographic impact of Sun‐Je Woo'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 Sun‐Je Woo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sun‐Je Woo more than expected).
Fields of papers citing papers by Sun‐Je Woo
This network shows the impact of papers produced by Sun‐Je Woo. 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 Sun‐Je Woo. The network helps show where Sun‐Je Woo may publish in the future.
Co-authors
The 25 scholars most cited alongside Sun‐Je Woo, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 95 | |
| 2 | 2021 | 66 | |
| 3 | 1993 | 62 | |
| 4 | 1997 | 61 | |
| 5 | 2007 | 47 | |
| 6 | 1993 | 44 | |
| 7 | 2012 | 29 | |
| 8 | 2022 | 24 | |
| 9 | 2008 | 22 | |
| 10 | 2009 | 21 | |
| 11 | 2008 | 16 | |
| 12 | 2012 | 6 | |
| 13 | 2018 | 6 | |
| 14 | 2014 | 4 | |
| 15 | 2015 | 4 | |
| 16 | 2021 | 2 | |
| 17 | 2018 | 2 |
About Sun‐Je Woo
Sun‐Je Woo is a scholar working on Molecular Biology, Immunology, Infectious Diseases, Oncology and Parasitology, having authored 17 papers that have together received 511 indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (4 papers), Bacillus and Francisella bacterial research (4 papers), RNA Interference and Gene Delivery (3 papers), Viral gastroenteritis research and epidemiology (3 papers), Vector-borne infectious diseases (3 papers), Toxin Mechanisms and Immunotoxins (2 papers), Immune Cell Function and Interaction (2 papers) and SARS-CoV-2 and COVID-19 Research (2 papers). The work is most often cited by research in Parasitology (129 citations), Immunology (197 citations), Infectious Diseases (78 citations), Microbiology (27 citations) and Food Science (57 citations). Sun‐Je Woo has collaborated with scholars based in South Korea, Ethiopia and United States. Frequent co-authors include Myung‐Sik Choi, Seung‐Yong Seong, I S Kim, Cheol‐Heui Yun, Seung Hyun Han, Tai‐Gyu Kim, Manki Song, Sang Hwan Seo, Seok‐Seong Kang and Hak‐Kyo Lee. Their work appears in journals such as Journal of Clinical Microbiology, European Journal of Immunology, Biochemical and Biophysical Research Communications, BMC Medicine and Journal of Agricultural and Food Chemistry.
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.