Wei-Chun Au
Impact in
- Immunology top 2%
- interferon and immune responses
- Immune Response and Inflammation
- Immune Cell Function and Interaction
- Virology top 5%
- HIV Research and Treatment
Papers in
-
- DNA Repair Mechanisms 11
- Genomics and Chromatin Dynamics 10
- Fungal and yeast genetics research 10
- Ubiquitin and proteasome pathways 4
- Immunology 14
- interferon and immune responses 13
- Immune Cell Function and Interaction 8
- Co-authors
- Paula M. Pitha (13 shared papers)William Lowther (4 shared papers)Waldemar Popik (1 shared paper)Wen-Shuz Yeow (4 shared papers)Paul A. Moore (1 shared paper)Munira A. Basrai (19 shared papers)Bertrand Tombal (1 shared paper)David W. LaFleur (1 shared paper)
- Journals
- Journal of Biological Chemistry (8 papers)Genetics (5 papers)Molecular Biology of the Cell (4 papers)Nucleic Acids Research (3 papers)Molecular and Cellular Biology (3 papers)
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
Wei-Chun Au
37 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 85
- Immunology 1.3k
- Virology 176
- Oncology 692
- Cancer Research 216
- Epidemiology 398
Countries citing papers authored by Wei-Chun Au
This map shows the geographic impact of Wei-Chun Au'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 Wei-Chun Au with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wei-Chun Au more than expected).
Fields of papers citing papers by Wei-Chun Au
This network shows the impact of papers produced by Wei-Chun Au. 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 Wei-Chun Au. The network helps show where Wei-Chun Au may publish in the future.
Co-authors
The 25 scholars most cited alongside Wei-Chun Au, 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 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1995 | 349 | |
| 2 | 2002 | 273 | |
| 3 | 1998 | 257 | |
| 4 | 1998 | 229 | |
| 5 | 2000 | 138 | |
| 6 | 1995 | 123 | |
| 7 | 2000 | 87 | |
| 8 | 2008 | 78 | |
| 9 | 2001 | 74 | |
| 10 | 2001 | 54 | |
| 11 | 1992 | 44 | |
| 12 | 2011 | 44 | |
| 13 | 2013 | 41 | |
| 14 | 1989 | 38 | |
| 15 | 2018 | 37 | |
| 16 | 2005 | 33 | |
| 17 | 2009 | 31 | |
| 18 | 2001 | 29 | |
| 19 | 1995 | 28 | |
| 20 | 2020 | 21 |
About Wei-Chun Au
Wei-Chun Au is a scholar working on Molecular Biology, Immunology, Oncology, Plant Science and Cell Biology, having authored 37 papers that have together received 2.2k indexed citations. Recurring topics across this work include interferon and immune responses (13 papers), DNA Repair Mechanisms (11 papers), Genomics and Chromatin Dynamics (10 papers), Fungal and yeast genetics research (10 papers), Cytokine Signaling Pathways and Interactions (9 papers), Immune Cell Function and Interaction (8 papers), Chromosomal and Genetic Variations (6 papers) and Ubiquitin and proteasome pathways (4 papers). The work is most often cited by research in Immunology (1.3k citations), Virology (176 citations), Oncology (692 citations), Cancer Research (216 citations) and Epidemiology (398 citations). Wei-Chun Au has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Paula M. Pitha, William Lowther, Waldemar Popik, Wen-Shuz Yeow, Paul A. Moore, Munira A. Basrai, Bertrand Tombal, David W. LaFleur, Paul A. Moore and Nitin Raj. Their work appears in journals such as Journal of Biological Chemistry, Genetics, Molecular Biology of the Cell, Nucleic Acids Research and Molecular and Cellular Biology.
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.