Natasha G. Deane
- Molecular Biology top 5%
- Oncology top 5%
- Pathology and Forensic Medicine top 2%
- Cancer Research top 5%
- Immunology top 5%
- Co-authors
- Gabriel NúñezFrances M. PlattStanley J. KorsmeyerJohn P. McKearnUlrich JaegerTimothy J. McDonnellR. Daniel BeauchampJ. Joshua Smith
- Topics
- Genetic factors in colorectal cancer (7 papers)Cancer-related Molecular Pathways (6 papers)TGF-β signaling in diseases (5 papers)
- Journals
- CellGastroenterologyPLoS ONE
- Partner nations
- United StatesAustraliaSaudi Arabia
In The Last Decade
Natasha G. Deane
22 papers receiving 2.3k citations
Hit Papers
Peers
Comparison fields: 5 of 102
- Molecular Biology 1.3k
- Oncology 918
- Pathology and Forensic Medicine 528
- Cancer Research 461
- Immunology 450
Countries citing papers authored by Natasha G. Deane
This map shows the geographic impact of Natasha G. Deane'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 Natasha G. Deane with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Natasha G. Deane more than expected).
Fields of papers citing papers by Natasha G. Deane
This network shows the impact of papers produced by Natasha G. Deane. 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 Natasha G. Deane. The network helps show where Natasha G. Deane may publish in the future.
Co-authorship network of co-authors of Natasha G. Deane
This figure shows the co-authorship network connecting the top 25 collaborators of Natasha G. Deane. A scholar is included among the top collaborators of Natasha G. Deane 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 Natasha G. Deane. Natasha G. Deane is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 17 | |
| 2 | 31 | |
| 3 | The Applicability of a Human Immunohistochemical Panel to Mouse Models of Hepatocellular Neoplasia. | 7 |
| 4 | 98 | |
| 5 | 28 | |
| 6 | 16 | |
| 7 | 36 | |
| 8 | 151 | |
| 9 | 11 | |
| 10 | 1 | |
| 11 | Experimentally Derived Metastasis Gene Expression Profile Predicts Recurrence and Death in Patients With Colon Cancerbreakdown → | 562 |
| 12 | 28 | |
| 13 | 22 | |
| 14 | 70 | |
| 15 | 27 | |
| 16 | 6 | |
| 17 | 5 | |
| 18 | 12 | |
| 19 | Hepatocellular carcinoma results from chronic cyclin D1 overexpression in transgenic mice. | 155 |
| 20 | bcl-2-Immunoglobulin transgenic mice demonstrate extended B cell survival and follicular lymphoproliferationbreakdown → | 1016 |
About Natasha G. Deane
Natasha G. Deane is a scholar working on Pathology and Forensic Medicine, Oncology and Molecular Biology, having authored 22 papers that have together received 2.3k indexed citations. Recurring topics across this work include Genetic factors in colorectal cancer (7 papers), Cancer-related Molecular Pathways (6 papers) and TGF-β signaling in diseases (5 papers). The work is most often cited by research in Oncology (918 citations), Cancer Research (461 citations) and Pathology and Forensic Medicine (528 citations). Natasha G. Deane has collaborated with scholars based in United States, Australia and Saudi Arabia. Frequent co-authors include Gabriel Núñez, Frances M. Platt, Stanley J. Korsmeyer, John P. McKearn, Ulrich Jaeger, Timothy J. McDonnell, R. Daniel Beauchamp, J. Joshua Smith, M. Kay Washington and Yu Shyr. Their work appears in journals such as Cell, Gastroenterology and PLoS ONE.
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.