E Chung
Impact in
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- Hematopoietic Stem Cell Transplantation
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- Cytomegalovirus and herpesvirus research
- Herpesvirus Infections and Treatments
Papers in
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- Cytomegalovirus and herpesvirus research 4
- Respiratory viral infections research 2
- Herpesvirus Infections and Treatments 2
- Pneumocystis jirovecii pneumonia detection and treatment 1
- Surgery 4
- Transplantation: Methods and Outcomes 3
- Co-authors
- Michael Boeckh (7 shared papers)Keith R. Jerome (5 shared papers)Wendy M. Leisenring (7 shared papers)Hu Xie (7 shared papers)Joshua A. Hill (5 shared papers)Ted Gooley (1 shared paper)Danielle M. Zerr (3 shared papers)Paul J. Martin (1 shared paper)
- Journals
- Blood Advances (1 paper)Clinical Infectious Diseases (1 paper)Biology of Blood and Marrow Transplantation (1 paper)Blood (1 paper)The Journal of Infectious Diseases (1 paper)
- Partner nations
- United StatesItalyNew Zealand
In The Last Decade
E Chung
10 papers receiving 95 citations
Peers
Comparison fields: 5 of 28
- Hematology 17
- Epidemiology 46
- Oncology 29
- Infectious Diseases 14
- Pulmonary and Respiratory Medicine 15
Countries citing papers authored by E Chung
This map shows the geographic impact of E Chung'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 E Chung with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites E Chung more than expected).
Fields of papers citing papers by E Chung
This network shows the impact of papers produced by E Chung. 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 E Chung. The network helps show where E Chung may publish in the future.
Co-authors
The 25 scholars most cited alongside E Chung, 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 | 2021 | 24 | |
| 2 | 2019 | 22 | |
| 3 | 2020 | 14 | |
| 4 | 2020 | 10 | |
| 5 | 2024 | 9 | |
| 6 | 2024 | 7 | |
| 7 | 2019 | 3 | |
| 8 | 2023 | 3 | |
| 9 | 2019 | 2 | |
| 10 | 2022 | 1 | |
| 11 | 2023 | 0 | |
| 12 | 2018 | 0 |
About E Chung
E Chung is a scholar working on Epidemiology, Surgery, Pulmonary and Respiratory Medicine, Oncology and Infectious Diseases, having authored 12 papers that have together received 95 indexed citations. Recurring topics across this work include Cytomegalovirus and herpesvirus research (4 papers), Transplantation: Methods and Outcomes (3 papers), Respiratory viral infections research (2 papers), Herpesvirus Infections and Treatments (2 papers), Pneumocystis jirovecii pneumonia detection and treatment (1 paper), Toxoplasma gondii Research Studies (1 paper), Vaccine Coverage and Hesitancy (1 paper) and Antifungal resistance and susceptibility (1 paper). The work is most often cited by research in Hematology (17 citations), Epidemiology (46 citations), Oncology (29 citations), Infectious Diseases (14 citations) and Pulmonary and Respiratory Medicine (15 citations). E Chung has collaborated with scholars based in United States, Italy and New Zealand. Frequent co-authors include Michael Boeckh, Keith R. Jerome, Wendy M. Leisenring, Hu Xie, Joshua A. Hill, Ted Gooley, Danielle M. Zerr, Paul J. Martin, Meei‐Li Huang and Jane Turner. Their work appears in journals such as Blood Advances, Clinical Infectious Diseases, Biology of Blood and Marrow Transplantation, Blood and The Journal of Infectious Diseases.
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.