Mae Woods

17 papers receiving 616 citations

Mae Woods's Hit Papers

Long-term outcomes of GD2-directed CAR-T cell therapy in patients with neuroblastoma 2025 · 22 citations
220Years since publication5101520

Peers

Mae Woods
Comparison fields: 5 of 99
  • Cell Biology 228
  • Developmental Neuroscience 23
  • Biophysics 32
  • Modeling and Simulation 24
  • Immunology 94
Replace Mazhar Gull with:
Mazhar Gull Germany
Christian R. Hoerner United States
Mary Cathleen McKinney United States
Kristen F. Swaney United States
Naomi Moris United Kingdom
Amit Lakhanpal United States
Marta N. Shahbazi United Kingdom
Paul D. Langridge United Kingdom
Alessandro De Simone Switzerland
Scott Curran United Kingdom
Mae Woods relative to Mazhar Gull Germany Mazhar Gull's profile →
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Citations per year

Countries citing papers authored by Mae Woods

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Mae Woods Line = papers co-authored together Mae Woods links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1 2011254
2 2016106
3 201464
4 201641
5 201633
6 201626
7
Long-term outcomes of GD2-directed CAR-T cell therapy in patients with neuroblastoma
Hit paper breakdown →
202522
8 202321
9 201615
10 20248
11 20238
12 20166
13 20245
14 20244
15 20233
16 20253
17 20242

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 621 indexed citations. Recurring topics across this work include CAR-T cell therapy research (7 papers), Virus-based gene therapy research (6 papers), Cellular Mechanics and Interactions (3 papers), Immunotherapy and Immune Responses (2 papers), Cancer Research and Treatments (2 papers), Gene Regulatory Network Analysis (2 papers), Plant Genetic and Mutation Studies (1 paper) and Viral Infectious Diseases and Gene Expression in Insects (1 paper). The work is most often cited by research in Cell Biology (228 citations), Developmental Neuroscience (23 citations), Biophysics (32 citations), Modeling and Simulation (24 citations) and Immunology (94 citations). Mae Woods has collaborated with scholars based in United States, United Kingdom and Japan. Frequent co-authors include Roberto Mayor, Karen M. Page, Carlos Carmona‐Fontaine, C. Barnes, Maddy Parsons, John D. Lambris, Eric Théveneau, Masazumi Tada, Αποστολία Τζέκου and András Szabó. Their work appears in journals such as Journal for ImmunoTherapy of Cancer, Cytotherapy, PLoS Computational Biology, Developmental Cell and BMC Systems 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.

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