Mae Woods
Impact in
- Cell Biology top 5%
- Cellular Mechanics and Interactions
- Biophysics top 10%
Papers in
- Co-authors
- Roberto Mayor (3 shared papers)Carlos Carmona‐Fontaine (2 shared papers)Karen M. Page (2 shared papers)C. Barnes (4 shared papers)Maddy Parsons (1 shared paper)John D. Lambris (1 shared paper)Αποστολία Τζέκου (1 shared paper)Masazumi Tada (1 shared paper)
- Journals
- Journal for ImmunoTherapy of Cancer (2 papers)The Journal of Cell Biology (1 paper)Nature Medicine (1 paper)BMC Systems Biology (1 paper)Cell Reports Medicine (1 paper)
- Partner nations
- United StatesUnited KingdomJapan
In The Last Decade
Mae Woods
16 papers receiving 573 citations
Mae Woods's Hit Papers
Peers
Comparison fields: 5 of 99
- Cell Biology 219
- Biophysics 32
- Developmental Neuroscience 22
- Modeling and Simulation 23
- Immunology 90
Countries citing papers authored by Mae Woods
This map shows the geographic impact of Mae Woods'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 Mae Woods with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mae Woods more than expected).
Fields of papers citing papers by Mae Woods
This network shows the impact of papers produced by Mae Woods. 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 Mae Woods. The network helps show where Mae Woods may publish in the future.
Co-authors
The 25 scholars most cited alongside Mae Woods, 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 | 2011 | 243 | |
| 2 | 2016 | 101 | |
| 3 | 2014 | 62 | |
| 4 | 2016 | 39 | |
| 5 | 2016 | 33 | |
| 6 | 2016 | 23 | |
| 7 | 2023 | 19 | |
| 8 | Long-term outcomes of GD2-directed CAR-T cell therapy in patients with neuroblastoma Hit paper breakdown → | 2025 | 14 |
| 9 | 2016 | 14 | |
| 10 | 2023 | 8 | |
| 11 | 2024 | 6 | |
| 12 | 2016 | 6 | |
| 13 | 2024 | 5 | |
| 14 | 2023 | 2 | |
| 15 | 2024 | 1 | |
| 16 | 2024 | 1 | |
| 17 | 2025 | 0 |
About Mae Woods
Mae Woods is a scholar working on Oncology, Genetics, Molecular Biology, Immunology and Cell Biology, having authored 17 papers that have together received 577 indexed citations. Recurring topics across this work include CAR-T cell therapy research (9 papers), Virus-based gene therapy research (6 papers), Cellular Mechanics and Interactions (3 papers), Cancer Research and Treatments (2 papers), Evolution and Genetic Dynamics (2 papers), Immune Cell Function and Interaction (2 papers), Immunotherapy and Immune Responses (2 papers) and Viral Infectious Diseases and Gene Expression in Insects (2 papers). The work is most often cited by research in Cell Biology (219 citations), Biophysics (32 citations), Developmental Neuroscience (22 citations), Modeling and Simulation (23 citations) and Immunology (90 citations). Mae Woods has collaborated with scholars based in United States, United Kingdom and Japan. Frequent co-authors include Roberto Mayor, Carlos Carmona‐Fontaine, Karen M. Page, C. Barnes, Maddy Parsons, John D. Lambris, Αποστολία Τζέκου, Masazumi Tada, Eric Théveneau and Manuela Melchionda. Their work appears in journals such as Journal for ImmunoTherapy of Cancer, The Journal of Cell Biology, Nature Medicine, BMC Systems Biology and Cell Reports Medicine.
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.