Minna Woo
Impact in
- Molecular Biology top 2%
- Cell death mechanisms and regulation
- DNA Repair Mechanisms
- Mitochondrial Function and Pathology
- Metabolism, Diabetes, and Cancer
- Immunology top 2%
- Phagocytosis and Immune Regulation
Papers in
- Immunology 16
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- Metabolism, Diabetes, and Cancer 16
- Cell death mechanisms and regulation 14
- PI3K/AKT/mTOR signaling in cancer 6
- Co-authors
- Razqallah HakemTak W. MakAnne HakemScott W. LoweDavid KägiStephen A. KaufmanWilson KhooMarı́a S. Soengas
- Journals
- Diabetologia (8 papers)Diabetes (7 papers)Journal of Biological Chemistry (5 papers)Molecular and Cellular Biology (4 papers)The Journal of Immunology (3 papers)
- Partner nations
- CanadaUnited StatesJapan
In The Last Decade
Minna Woo
74 papers receiving 5.1k citations
Hit Papers
Peers
Comparison fields: 5 of 131
- Molecular Biology 3.5k
- Immunology 953
- Cancer Research 518
- Cell Biology 504
- Aging 52
Countries citing papers authored by Minna Woo
This map shows the geographic impact of Minna Woo'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 Minna Woo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Minna Woo more than expected).
Fields of papers citing papers by Minna Woo
This network shows the impact of papers produced by Minna Woo. 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 Minna Woo. The network helps show where Minna Woo may publish in the future.
Co-authors
The 25 scholars most cited alongside Minna Woo, 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 | 2025 | 1 | |
| 2 | 2023 | 12 | |
| 3 | 2023 | 15 | |
| 4 | 2022 | 1 | |
| 5 | 2021 | 6 | |
| 6 | 2018 | 203 | |
| 7 | 2017 | 40 | |
| 8 | 2015 | 43 | |
| 9 | 2015 | 2 | |
| 10 | 2014 | 7 | |
| 11 | 2012 | 15 | |
| 12 | 2011 | 8 | |
| 13 | 2010 | 110 | |
| 14 | 2010 | 32 | |
| 15 | 2009 | 22 | |
| 16 | 2009 | 66 | |
| 17 | 2005 | 197 | |
| 18 | 2004 | 53 | |
| 19 | 2004 | 160 | |
| 20 | 2000 | 39 |
About Minna Woo
Minna Woo is a scholar working on Immunology, Molecular Biology, Surgery, Cell Biology and Hematology, having authored 76 papers that have together received 5.2k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (28 papers), Metabolism, Diabetes, and Cancer (16 papers), Cell death mechanisms and regulation (14 papers), Adipose Tissue and Metabolism (8 papers), Adipokines, Inflammation, and Metabolic Diseases (7 papers), Diabetes and associated disorders (7 papers), Autophagy in Disease and Therapy (7 papers) and PI3K/AKT/mTOR signaling in cancer (6 papers). The work is most often cited by research in Molecular Biology (3.5k citations), Immunology (953 citations), Cancer Research (518 citations), Cell Biology (504 citations) and Aging (52 citations). Minna Woo has collaborated with scholars based in Canada, United States and Japan. Frequent co-authors include Razqallah Hakem, Tak W. Mak, Anne Hakem, Scott W. Lowe, David Kägi, Stephen A. Kaufman, Wilson Khoo, Marı́a S. Soengas, Gordon S. Duncan and José Luís de la Pompa. Their work appears in journals such as Diabetologia, Diabetes, Journal of Biological Chemistry, Molecular and Cellular Biology and The Journal of Immunology.
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.