Ka‐Wei Tang
Impact in
- Epidemiology top 10%
- Herpesvirus Infections and Treatments
- Cytomegalovirus and herpesvirus research
- Hepatitis B Virus Studies
- Cervical Cancer and HPV Research
Papers in
- Epidemiology 10
- Cytomegalovirus and herpesvirus research 5
- Herpesvirus Infections and Treatments 4
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- RNA Research and Splicing 2
- Co-authors
- Erik Larsson (3 shared papers)Magnus Lindh (4 shared papers)Tore Samuelsson (2 shared papers)Babak Alaei-Mahabadi (1 shared paper)Per Elias (4 shared papers)Isabella Muylaert (2 shared papers)J. Waldenström (2 shared papers)Martin Lagging (2 shared papers)
- Journals
- Journal of Biological Chemistry (3 papers)Proceedings of the National Academy of Sciences (2 papers)Nature Communications (1 paper)Journal of Virology (1 paper)Journal for ImmunoTherapy of Cancer (1 paper)
- Partner nations
- SwedenItalyUnited States
In The Last Decade
Ka‐Wei Tang
20 papers receiving 612 citations
Peers
Comparison fields: 5 of 70
- Epidemiology 261
- Virology 25
- Oncology 127
- Molecular Medicine 24
- Cancer Research 61
Countries citing papers authored by Ka‐Wei Tang
This map shows the geographic impact of Ka‐Wei Tang'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 Ka‐Wei Tang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ka‐Wei Tang more than expected).
Fields of papers citing papers by Ka‐Wei Tang
This network shows the impact of papers produced by Ka‐Wei Tang. 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 Ka‐Wei Tang. The network helps show where Ka‐Wei Tang may publish in the future.
Co-authors
The 25 scholars most cited alongside Ka‐Wei Tang, 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 231 | |
| 2 | 2019 | 63 | |
| 3 | 2011 | 54 | |
| 4 | 2014 | 35 | |
| 5 | 2018 | 31 | |
| 6 | 2022 | 27 | |
| 7 | 2020 | 25 | |
| 8 | 2017 | 22 | |
| 9 | 2018 | 18 | |
| 10 | 2009 | 17 | |
| 11 | 2021 | 15 | |
| 12 | 2022 | 13 | |
| 13 | 2021 | 12 | |
| 14 | 2017 | 12 | |
| 15 | 2023 | 10 | |
| 16 | 2025 | 10 | |
| 17 | 2024 | 8 | |
| 18 | 2014 | 7 | |
| 19 | 2019 | 5 | |
| 20 | 2014 | 5 |
About Ka‐Wei Tang
Ka‐Wei Tang is a scholar working on Epidemiology, Molecular Biology, Oncology, Genetics and Immunology, having authored 21 papers that have together received 620 indexed citations. Recurring topics across this work include Virus-based gene therapy research (5 papers), Cytomegalovirus and herpesvirus research (5 papers), Herpesvirus Infections and Treatments (4 papers), Hepatitis C virus research (4 papers), Immune Cell Function and Interaction (4 papers), Animal Virus Infections Studies (3 papers), Polyomavirus and related diseases (3 papers) and RNA Research and Splicing (2 papers). The work is most often cited by research in Epidemiology (261 citations), Virology (25 citations), Oncology (127 citations), Molecular Medicine (24 citations) and Cancer Research (61 citations). Ka‐Wei Tang has collaborated with scholars based in Sweden, Italy and United States. Frequent co-authors include Erik Larsson, Magnus Lindh, Tore Samuelsson, Babak Alaei-Mahabadi, Per Elias, Isabella Muylaert, J. Waldenström, Martin Lagging, Kristina Nystrôm and Kristoffer Hellstrand. Their work appears in journals such as Journal of Biological Chemistry, Proceedings of the National Academy of Sciences, Nature Communications, Journal of Virology and Journal for ImmunoTherapy of Cancer.
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.