Eric Yung
- Virology top 5%
- HIV Research and Treatment 4
- Hematology top 5%
- Acute Myeloid Leukemia Research 8
- Molecular Biology top 10%
- Protein Degradation and Inhibitors 6
- Chromatin Remodeling and Cancer 3
- Retinoids in leukemia and cellular processes 3
- Cancer Research top 10%
- Pathology and Forensic Medicine top 10%
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- HIV/AIDS drug development and treatment 3
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- Virus-based gene therapy research 2
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- interferon and immune responses 2
- Co-authors
- Ganjam V. KalpanaR. Keith HumphriesSiwei ChengJin YuKelvin P. DaviesBob ArgiropoulosFlorian KuchenbauerMichael Heuser
- Cited by
- VirologyHematologyMolecular Biology
- Journals
- Blood (5 papers)Leukemia (2 papers)Molecular Therapy — Methods & Clinical Development (2 papers)
- Partner nations
- CanadaUnited StatesGermany
In The Last Decade
Eric Yung
23 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 81
- Virology 197
- Hematology 193
- Molecular Biology 986
- Cancer Research 204
- Pathology and Forensic Medicine 150
Countries citing papers authored by Eric Yung
This map shows the geographic impact of Eric Yung'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 Eric Yung with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eric Yung more than expected).
Fields of papers citing papers by Eric Yung
This network shows the impact of papers produced by Eric Yung. 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 Eric Yung. The network helps show where Eric Yung may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Eric Yung, 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 | 2024 | 2 | |
| 2 | 2023 | 10 | |
| 3 | 2022 | 6 | |
| 4 | 2022 | 9 | |
| 5 | 2022 | 1 | |
| 6 | 2020 | 18 | |
| 7 | 2020 | 1 | |
| 8 | 2014 | 9 | |
| 9 | 2014 | 22 | |
| 10 | 2014 | 118 | |
| 11 | 2010 | 12 | |
| 12 | 2009 | 0 | |
| 13 | 2008 | 143 | |
| 14 | 2008 | 49 | |
| 15 | 2007 | 80 | |
| 16 | 2007 | 103 | |
| 17 | 2006 | 31 | |
| 18 | 2004 | 59 | |
| 19 | 2001 | 114 | |
| 20 | 1999 | 315 |
About Eric Yung
Eric Yung is a scholar working on Virology, Hematology, Molecular Biology, Immunology and Infectious Diseases, having authored 24 papers that have together received 1.2k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (8 papers), Protein Degradation and Inhibitors (6 papers), HIV Research and Treatment (4 papers), Chromatin Remodeling and Cancer (3 papers), Retinoids in leukemia and cellular processes (3 papers), HIV/AIDS drug development and treatment (3 papers), Virus-based gene therapy research (2 papers) and interferon and immune responses (2 papers). The work is most often cited by research in Virology (197 citations), Hematology (193 citations), Molecular Biology (986 citations), Cancer Research (204 citations) and Pathology and Forensic Medicine (150 citations). Eric Yung has collaborated with scholars based in Canada, United States and Germany. Frequent co-authors include Ganjam V. Kalpana, R. Keith Humphries, Siwei Cheng, Jin Yu, Kelvin P. Davies, Bob Argiropoulos, Florian Kuchenbauer, Michael Heuser, John C. Kappes and Achintya Pal. Their work appears in journals such as Blood, Leukemia, Molecular Therapy — Methods & Clinical Development, Genes & Development and Nature Genetics.
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.