Eric Yung
Impact in
- Virology top 5%
- HIV Research and Treatment
- Hematology top 5%
- Acute Myeloid Leukemia Research
Papers in
-
- Protein Degradation and Inhibitors 5
- Retinoids in leukemia and cellular processes 3
- Chromatin Remodeling and Cancer 3
- Ubiquitin and proteasome pathways 2
-
- Acute Myeloid Leukemia Research 8
- Co-authors
- Ganjam V. Kalpana (5 shared papers)R. Keith Humphries (14 shared papers)Bob Argiropoulos (9 shared papers)Siwei Cheng (1 shared paper)Kelvin P. Davies (1 shared paper)Jin Yu (1 shared paper)Florian Kuchenbauer (9 shared papers)Michael Heuser (8 shared papers)
- Journals
- Blood (5 papers)Genes & Development (2 papers)Molecular Therapy — Methods & Clinical Development (2 papers)Leukemia (2 papers)Nature Communications (1 paper)
- Partner nations
- CanadaUnited StatesGermany
In The Last Decade
Eric Yung
24 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 80
- Virology 186
- Hematology 185
- Cancer Research 193
- Molecular Biology 927
- Pathology and Forensic Medicine 143
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-authors
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
Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1999 | 314 | |
| 2 | 2008 | 143 | |
| 3 | 2014 | 119 | |
| 4 | 2001 | 114 | |
| 5 | 2007 | 104 | |
| 6 | 2007 | 82 | |
| 7 | 1998 | 76 | |
| 8 | 2004 | 59 | |
| 9 | 2008 | 49 | |
| 10 | 2006 | 31 | |
| 11 | 2010 | 25 | |
| 12 | 2014 | 22 | |
| 13 | 2020 | 21 | |
| 14 | 2020 | 18 | |
| 15 | 2010 | 12 | |
| 16 | 2023 | 11 | |
| 17 | 2014 | 9 | |
| 18 | 2022 | 9 | |
| 19 | 2022 | 7 | |
| 20 | 2024 | 2 |
About Eric Yung
Eric Yung is a scholar working on Molecular Biology, Hematology, Virology, 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 (5 papers), HIV Research and Treatment (4 papers), Retinoids in leukemia and cellular processes (3 papers), HIV/AIDS drug development and treatment (3 papers), Chromatin Remodeling and Cancer (3 papers), Ubiquitin and proteasome pathways (2 papers) and Blockchain Technology Applications and Security (2 papers). The work is most often cited by research in Virology (186 citations), Hematology (185 citations), Cancer Research (193 citations), Molecular Biology (927 citations) and Pathology and Forensic Medicine (143 citations). Eric Yung has collaborated with scholars based in Canada, United States and Germany. Frequent co-authors include Ganjam V. Kalpana, R. Keith Humphries, Bob Argiropoulos, Siwei Cheng, Kelvin P. Davies, Jin Yu, Florian Kuchenbauer, Michael Heuser, Achintya Pal and Olivier Delattre. Their work appears in journals such as Blood, Genes & Development, Molecular Therapy — Methods & Clinical Development, Leukemia and Nature Communications.
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.