Hak Sun Yu
Impact in
- Endocrinology top 0.5%
- Legionella and Acanthamoeba research
- Vibrio bacteria research studies
- Parasitology top 0.5%
- Parasites and Host Interactions
- Parasitic Infections and Diagnostics
Papers in
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- Bacterial biofilms and quorum sensing 13
-
- Legionella and Acanthamoeba research 38
- Co-authors
- Shin Ae Kang (42 shared papers)Min Kyoung Cho (26 shared papers)Hae Jin Jeong (13 shared papers)Hyun-Hee Kong (27 shared papers)Jaeho Pyee (1 shared paper)Pappachan E. Kolattukudy (1 shared paper)Soon‐Cheol Ahn (16 shared papers)Dong-Il Chung (21 shared papers)
- Journals
- Experimental Parasitology (9 papers)Veterinary Parasitology (8 papers)Parasite Immunology (6 papers)Korean Journal of Parasitology (46 papers)PLoS ONE (5 papers)
- Partner nations
- South KoreaUnited StatesJapan
In The Last Decade
Hak Sun Yu
172 papers receiving 3.2k citations
Peers
Comparison fields: 5 of 121
- Endocrinology 721
- Parasitology 607
- Molecular Medicine 166
- Infectious Diseases 423
- Immunology 473
Countries citing papers authored by Hak Sun Yu
This map shows the geographic impact of Hak Sun Yu'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 Hak Sun Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hak Sun Yu more than expected).
Fields of papers citing papers by Hak Sun Yu
This network shows the impact of papers produced by Hak Sun Yu. 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 Hak Sun Yu. The network helps show where Hak Sun Yu may publish in the future.
Co-authors
The 25 scholars most cited alongside Hak Sun Yu, 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 177 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1994 | 199 | |
| 2 | 2003 | 92 | |
| 3 | 2014 | 89 | |
| 4 | 2005 | 70 | |
| 5 | 2010 | 67 | |
| 6 | 2009 | 66 | |
| 7 | 2016 | 66 | |
| 8 | 2007 | 66 | |
| 9 | 2010 | 61 | |
| 10 | 2010 | 57 | |
| 11 | 2004 | 54 | |
| 12 | 2011 | 51 | |
| 13 | 2003 | 49 | |
| 14 | 2011 | 44 | |
| 15 | 2012 | 43 | |
| 16 | 2010 | 43 | |
| 17 | 2012 | 43 | |
| 18 | 2002 | 42 | |
| 19 | 2016 | 42 | |
| 20 | 2019 | 42 |
About Hak Sun Yu
Hak Sun Yu is a scholar working on Molecular Biology, Endocrinology, Immunology, Parasitology and Infectious Diseases, having authored 177 papers that have together received 3.2k indexed citations. Recurring topics across this work include Legionella and Acanthamoeba research (38 papers), Parasites and Host Interactions (27 papers), Parasite Biology and Host Interactions (21 papers), Parasitic Diseases Research and Treatment (16 papers), Bacterial biofilms and quorum sensing (13 papers), Parasitic Infections and Diagnostics (11 papers), Helminth infection and control (9 papers) and Parasitic infections in humans and animals (8 papers). The work is most often cited by research in Endocrinology (721 citations), Parasitology (607 citations), Molecular Medicine (166 citations), Infectious Diseases (423 citations) and Immunology (473 citations). Hak Sun Yu has collaborated with scholars based in South Korea, United States and Japan. Frequent co-authors include Shin Ae Kang, Min Kyoung Cho, Hae Jin Jeong, Hyun-Hee Kong, Jaeho Pyee, Pappachan E. Kolattukudy, Soon‐Cheol Ahn, Dong-Il Chung, Hye‐Kyung Park and Dong‐Hee Kim. Their work appears in journals such as Experimental Parasitology, Veterinary Parasitology, Parasite Immunology, Korean Journal of Parasitology and PLoS ONE.
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.