Ho Eun Chang
Impact in
- Hepatology top 5%
- Hepatitis C virus research
- Hepatitis Viruses Studies and Epidemiology
- Infectious Diseases top 10%
- Tuberculosis Research and Epidemiology
Papers in
- Hematology 11
- Blood groups and transfusion 8
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- Tuberculosis Research and Epidemiology 3
- Co-authors
- John M. Taylor (3 shared papers)Ziying Han (2 shared papers)Kyoung Un Park (31 shared papers)Junghan Song (18 shared papers)Jinhong Chang (2 shared papers)Ning Chai (2 shared papers)Émmanuelle Nicolas (2 shared papers)Michal Jarník (1 shared paper)
- Journals
- Annals of Laboratory Medicine (5 papers)Journal of Virology (3 papers)Clinica Chimica Acta (3 papers)BioMed Research International (2 papers)American Journal of Clinical Pathology (1 paper)
- Partner nations
- South KoreaEthiopiaUnited States
In The Last Decade
Ho Eun Chang
35 papers receiving 409 citations
Peers
Comparison fields: 5 of 63
- Hepatology 120
- Infectious Diseases 119
- Epidemiology 207
- Clinical Biochemistry 28
- Virology 14
Countries citing papers authored by Ho Eun Chang
This map shows the geographic impact of Ho Eun Chang'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 Ho Eun Chang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ho Eun Chang more than expected).
Fields of papers citing papers by Ho Eun Chang
This network shows the impact of papers produced by Ho Eun Chang. 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 Ho Eun Chang. The network helps show where Ho Eun Chang may publish in the future.
Co-authors
The 25 scholars most cited alongside Ho Eun Chang, 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 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 86 | |
| 2 | 2008 | 84 | |
| 3 | 2011 | 40 | |
| 4 | 2009 | 27 | |
| 5 | 2013 | 19 | |
| 6 | 2007 | 18 | |
| 7 | 2014 | 16 | |
| 8 | 2008 | 13 | |
| 9 | 2010 | 12 | |
| 10 | 2013 | 11 | |
| 11 | 2013 | 9 | |
| 12 | 2010 | 8 | |
| 13 | 2022 | 7 | |
| 14 | 2023 | 6 | |
| 15 | 2011 | 6 | |
| 16 | 2006 | 6 | |
| 17 | 2022 | 5 | |
| 18 | 2019 | 5 | |
| 19 | 2016 | 5 | |
| 20 | 2024 | 4 |
About Ho Eun Chang
Ho Eun Chang is a scholar working on Hematology, Infectious Diseases, Epidemiology, Clinical Biochemistry and Physiology, having authored 35 papers that have together received 420 indexed citations. Recurring topics across this work include Blood groups and transfusion (8 papers), Erythrocyte Function and Pathophysiology (4 papers), Hepatitis B Virus Studies (3 papers), Tuberculosis Research and Epidemiology (3 papers), Immunodeficiency and Autoimmune Disorders (3 papers), Bacterial Identification and Susceptibility Testing (3 papers), Biosensors and Analytical Detection (2 papers) and Hepatitis C virus research (2 papers). The work is most often cited by research in Hepatology (120 citations), Infectious Diseases (119 citations), Epidemiology (207 citations), Clinical Biochemistry (28 citations) and Virology (14 citations). Ho Eun Chang has collaborated with scholars based in South Korea, Ethiopia and United States. Frequent co-authors include John M. Taylor, Ziying Han, Kyoung Un Park, Junghan Song, Jinhong Chang, Ning Chai, Émmanuelle Nicolas, Michal Jarník, Hye Seung Lee and Sang Hoon Song. Their work appears in journals such as Annals of Laboratory Medicine, Journal of Virology, Clinica Chimica Acta, BioMed Research International and American Journal of Clinical Pathology.
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.