Joann Wu
Impact in
- Aging top 10%
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- Algal biology and biofuel production
Papers in
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- RNA Research and Splicing 4
- CRISPR and Genetic Engineering 3
- Photosynthetic Processes and Mechanisms 2
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- NF-κB Signaling Pathways 2
- Co-authors
- Andrea L. Manuell (2 shared papers)Julia Marín‐Navarro (2 shared papers)Stephen P. Mayfield (2 shared papers)Kristina Schmidt (1 shared paper)Richard D. Kolodner (1 shared paper)David Siefker (1 shared paper)Yi Chen (2 shared papers)Gourisankar Ghosh (2 shared papers)
- Journals
- Journal of Biological Chemistry (2 papers)Journal of Molecular Biology (2 papers)Molecular and Cellular Biology (2 papers)Photosynthesis Research (1 paper)Current Opinion in Biotechnology (1 paper)
- Partner nations
- United StatesBelgium
In The Last Decade
Joann Wu
11 papers receiving 552 citations
Peers
Comparison fields: 5 of 69
- Aging 36
- Renewable Energy, Sustainability and the Environment 133
- Molecular Biology 485
- Business and International Management 9
- Cancer Research 63
Countries citing papers authored by Joann Wu
This map shows the geographic impact of Joann Wu'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 Joann Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joann Wu more than expected).
Fields of papers citing papers by Joann Wu
This network shows the impact of papers produced by Joann Wu. 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 Joann Wu. The network helps show where Joann Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Joann Wu, 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 | 2007 | 138 | |
| 2 | 2007 | 124 | |
| 3 | 2018 | 81 | |
| 4 | 2006 | 55 | |
| 5 | 2004 | 42 | |
| 6 | 2012 | 37 | |
| 7 | 2003 | 31 | |
| 8 | 2012 | 16 | |
| 9 | 2012 | 16 | |
| 10 | 2010 | 14 | |
| 11 | 2017 | 3 |
About Joann Wu
Joann Wu is a scholar working on Molecular Biology, Cancer Research, Oncology, Aging and Immunology, having authored 11 papers that have together received 557 indexed citations. Recurring topics across this work include RNA Research and Splicing (4 papers), CRISPR and Genetic Engineering (3 papers), Algal biology and biofuel production (2 papers), NF-κB Signaling Pathways (2 papers), Photosynthetic Processes and Mechanisms (2 papers), Genetics, Aging, and Longevity in Model Organisms (2 papers), interferon and immune responses (1 paper) and Cytokine Signaling Pathways and Interactions (1 paper). The work is most often cited by research in Aging (36 citations), Renewable Energy, Sustainability and the Environment (133 citations), Molecular Biology (485 citations), Business and International Management (9 citations) and Cancer Research (63 citations). Joann Wu has collaborated with scholars based in United States and Belgium. Frequent co-authors include Andrea L. Manuell, Julia Marín‐Navarro, Stephen P. Mayfield, Kristina Schmidt, Richard D. Kolodner, David Siefker, Yi Chen, Gourisankar Ghosh, Stephen S. Chen and Miller Tran. Their work appears in journals such as Journal of Biological Chemistry, Journal of Molecular Biology, Molecular and Cellular Biology, Photosynthesis Research and Current Opinion in Biotechnology.
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.