Haesun Yun
- Hepatology top 2%
- Infectious Diseases top 10%
- Epidemiology
- Small Animals top 10%
- Surgery
- Co-authors
- Sook‐Hyang JeongYoungmee JeeHyeokjin LeeJin‐Wook KimJong Yeop KimByeong‐Sun ChoiKyu‐Shik JeongSun Hee
- Topics
- Hepatitis Viruses Studies and Epidemiology (9 papers)Viral gastroenteritis research and epidemiology (8 papers)Nutrition, Health and Food Behavior (5 papers)
- Journals
- Biochemical and Biophysical Research CommunicationsBMC CancerThe Journal of Nutritional Biochemistry
- Partner nations
- South KoreaPhilippinesPakistan
In The Last Decade
Haesun Yun
26 papers receiving 386 citations
Peers
Comparison fields: 5 of 64
- Hepatology 299
- Infectious Diseases 179
- Epidemiology 144
- Small Animals 41
- Surgery 29
Countries citing papers authored by Haesun Yun
This map shows the geographic impact of Haesun Yun'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 Haesun Yun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Haesun Yun more than expected).
Fields of papers citing papers by Haesun Yun
This network shows the impact of papers produced by Haesun Yun. 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 Haesun Yun. The network helps show where Haesun Yun may publish in the future.
Co-authorship network of co-authors of Haesun Yun
This figure shows the co-authorship network connecting the top 25 collaborators of Haesun Yun. A scholar is included among the top collaborators of Haesun Yun based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Haesun Yun. Haesun Yun is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 23 | |
| 4 | 22 | |
| 5 | 5 | |
| 6 | 17 | |
| 7 | 9 | |
| 8 | 16 | |
| 9 | 47 | |
| 10 | 31 | |
| 11 | Prevalence of human papillomavirus and herpes simplex virus type 2 infection in Korean commercial sex workers. | 10 |
| 12 | 40 | |
| 13 | 16 | |
| 14 | 5 | |
| 15 | 22 | |
| 16 | 5 | |
| 17 | Direct evidence of intracellular alkalinization in Saccharomyces cerevisiae KNU5377 exposed to inorganic sulfuric acid | 3 |
| 18 | 41 | |
| 19 | 4 | |
| 20 | The Viability Change of Yeast Cell Responding to Trehalose Accumulation and Maintaining Neutral Trehalase Activity under Extracellular pH Acidified by H₂SO₄ | 2 |
About Haesun Yun
Haesun Yun is a scholar working on Hepatology, Infectious Diseases and Nutrition and Dietetics, having authored 28 papers that have together received 405 indexed citations. Recurring topics across this work include Hepatitis Viruses Studies and Epidemiology (9 papers), Viral gastroenteritis research and epidemiology (8 papers) and Nutrition, Health and Food Behavior (5 papers). The work is most often cited by research in Hepatology (299 citations), Infectious Diseases (179 citations) and Small Animals (41 citations). Haesun Yun has collaborated with scholars based in South Korea, Philippines and Pakistan. Frequent co-authors include Sook‐Hyang Jeong, Youngmee Jee, Hyeokjin Lee, Jin‐Wook Kim, Jong Yeop Kim, Byeong‐Sun Choi, Kyu‐Shik Jeong, Sun Hee, Seong‐Jin Kim and Byoung‐Joon Song. Their work appears in journals such as Biochemical and Biophysical Research Communications, BMC Cancer and The Journal of Nutritional Biochemistry.
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.