Catherine L. Nutt
- Molecular Biology top 5%
- Genetics top 0.5%
- Cancer Research top 2%
- Oncology top 5%
- Pulmonary and Respiratory Medicine top 10%
- Co-authors
- David N. LouisRebecca A. BetenskyTracy T. BatchelorJ. Gregory CairncrossAndreas von DeimlingA. John IafrateMasahiro MizoguchiKeith L. Ligon
- Topics
- Glioma Diagnosis and Treatment (11 papers)Epigenetics and DNA Methylation (4 papers)Molecular Biology Techniques and Applications (3 papers)
- Partner nations
- United StatesCanadaGermany
In The Last Decade
Catherine L. Nutt
26 papers receiving 2.9k citations
Hit Papers
Peers
Comparison fields: 5 of 109
- Molecular Biology 1.8k
- Genetics 1.2k
- Cancer Research 956
- Oncology 672
- Pulmonary and Respiratory Medicine 309
Countries citing papers authored by Catherine L. Nutt
This map shows the geographic impact of Catherine L. Nutt'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 Catherine L. Nutt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Catherine L. Nutt more than expected).
Fields of papers citing papers by Catherine L. Nutt
This network shows the impact of papers produced by Catherine L. Nutt. 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 Catherine L. Nutt. The network helps show where Catherine L. Nutt may publish in the future.
Co-authorship network of co-authors of Catherine L. Nutt
This figure shows the co-authorship network connecting the top 25 collaborators of Catherine L. Nutt. A scholar is included among the top collaborators of Catherine L. Nutt 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 Catherine L. Nutt. Catherine L. Nutt is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 7 | |
| 3 | 61 | |
| 4 | 292 | |
| 5 | 285 | |
| 6 | 133 | |
| 7 | 138 | |
| 8 | 147 | |
| 9 | 103 | |
| 10 | 57 | |
| 11 | 27 | |
| 12 | 77 | |
| 13 | 2 | |
| 14 | 13 | |
| 15 | 110 | |
| 16 | 319 | |
| 17 | Gene expression-based classification of malignant gliomas correlates better with survival than histological classification.breakdown → | 719 |
| 18 | Differential expression of drug resistance genes and chemosensitivity in glial cell lineages correlate with differential response of oligodendrogliomas and astrocytomas to chemotherapy. | 81 |
| 19 | 14 | |
| 20 | 16 |
About Catherine L. Nutt
Catherine L. Nutt is a scholar working on Genetics, Developmental Neuroscience and Cancer Research, having authored 26 papers that have together received 3.0k indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (11 papers), Epigenetics and DNA Methylation (4 papers) and Molecular Biology Techniques and Applications (3 papers). The work is most often cited by research in Genetics (1.2k citations), Cancer Research (956 citations) and Developmental Neuroscience (149 citations). Catherine L. Nutt has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include David N. Louis, Rebecca A. Betensky, Tracy T. Batchelor, J. Gregory Cairncross, Andreas von Deimling, A. John Iafrate, Masahiro Mizoguchi, Keith L. Ligon, David H. Rowitch and Peter M. Black. Their work appears in journals such as Journal of Neuroscience, Cancer Research and Oncogene.
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.