Katherine K. Matthay
- Neurology top 0.01%
- Molecular Biology top 0.2%
- Cancer Research top 0.05%
- Oncology top 0.5%
- Surgery top 0.5%
- Co-authors
- Robert C. SeegerJohn M. MarisWendy B. LondonHiroyuki ShimadaDaniel O. StramRobert B. GerbingSusan L. CohnC. Patrick Reynolds
- Topics
- Neuroblastoma Research and Treatments (225 papers)Cancer, Hypoxia, and Metabolism (106 papers)Cancer therapeutics and mechanisms (79 papers)
- Cited by
- NeurologyCancer ResearchGenetics
- Journals
- New England Journal of MedicineProceedings of the National Academy of SciencesJournal of Clinical Investigation
- Partner nations
- United StatesSwitzerlandFrance
In The Last Decade
Katherine K. Matthay
298 papers receiving 26.0k citations
Hit Papers
Peers
Comparison fields: 5 of 158
- Neurology 19.0k
- Molecular Biology 10.9k
- Cancer Research 8.0k
- Oncology 4.7k
- Surgery 3.8k
Countries citing papers authored by Katherine K. Matthay
This map shows the geographic impact of Katherine K. Matthay'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 Katherine K. Matthay with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Katherine K. Matthay more than expected).
Fields of papers citing papers by Katherine K. Matthay
This network shows the impact of papers produced by Katherine K. Matthay. 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 Katherine K. Matthay. The network helps show where Katherine K. Matthay may publish in the future.
Co-authorship network of co-authors of Katherine K. Matthay
This figure shows the co-authorship network connecting the top 25 collaborators of Katherine K. Matthay. A scholar is included among the top collaborators of Katherine K. Matthay based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Katherine K. Matthay. Katherine K. Matthay is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 5 | |
| 3 | 6 | |
| 4 | 132 | |
| 5 | 1 | |
| 6 | 23 | |
| 7 | 9 | |
| 8 | 25 | |
| 9 | 7 | |
| 10 | 27 | |
| 11 | 95 | |
| 12 | 17 | |
| 13 | 71 | |
| 14 | 3 | |
| 15 | 51 | |
| 16 | 48 | |
| 17 | 229 | |
| 18 | 5 | |
| 19 | 314 | |
| 20 | Specific enhancement of drug delivery to AKR lymphoma by antibody-targeted small unilamellar vesicles. | 61 |
About Katherine K. Matthay
Katherine K. Matthay is a scholar working on Neurology, Cancer Research and Genetics, having authored 302 papers that have together received 26.5k indexed citations. Recurring topics across this work include Neuroblastoma Research and Treatments (225 papers), Cancer, Hypoxia, and Metabolism (106 papers) and Cancer therapeutics and mechanisms (79 papers). The work is most often cited by research in Neurology (19.0k citations), Cancer Research (8.0k citations) and Genetics (2.6k citations). Katherine K. Matthay has collaborated with scholars based in United States, Switzerland and France. Frequent co-authors include Robert C. Seeger, John M. Maris, Wendy B. London, Hiroyuki Shimada, Daniel O. Stram, Robert B. Gerbing, Susan L. Cohn, C. Patrick Reynolds, Judith G. Villablanca and Garrett M. Brodeur. Their work appears in journals such as New England Journal of Medicine, Proceedings of the National Academy of Sciences and Journal of Clinical Investigation.
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.