Matthew J. Naylor
- Molecular Biology top 10%
- Oncology top 5%
- Genetics top 5%
- Immunology and Allergy top 2%
- Cancer Research top 10%
- Co-authors
- Christopher J. OrmandySamantha R. OakesThomas W. OwensJane E. VisvaderGeoffrey J. LindemanCharles StreuliFranziska SchatzmannKatrina Blazek
- Topics
- Cancer Cells and Metastasis (13 papers)Cell Adhesion Molecules Research (8 papers)Growth Hormone and Insulin-like Growth Factors (4 papers)
- Partner nations
- AustraliaUnited StatesUnited Kingdom
In The Last Decade
Matthew J. Naylor
35 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 111
- Molecular Biology 849
- Oncology 845
- Genetics 427
- Immunology and Allergy 279
- Cancer Research 259
Countries citing papers authored by Matthew J. Naylor
This map shows the geographic impact of Matthew J. Naylor'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 Matthew J. Naylor with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew J. Naylor more than expected).
Fields of papers citing papers by Matthew J. Naylor
This network shows the impact of papers produced by Matthew J. Naylor. 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 Matthew J. Naylor. The network helps show where Matthew J. Naylor may publish in the future.
Co-authorship network of co-authors of Matthew J. Naylor
This figure shows the co-authorship network connecting the top 25 collaborators of Matthew J. Naylor. A scholar is included among the top collaborators of Matthew J. Naylor 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 Matthew J. Naylor. Matthew J. Naylor is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 24 | |
| 3 | 16 | |
| 4 | 60 | |
| 5 | 11 | |
| 6 | 59 | |
| 7 | 63 | |
| 8 | 16 | |
| 9 | 9 | |
| 10 | Molecular dissection of integrin signalling proteins in the control of mammary epithelial development and differentiation | 28 |
| 11 | 115 | |
| 12 | 186 | |
| 13 | 15 | |
| 14 | 124 | |
| 15 | 140 | |
| 16 | 80 | |
| 17 | 11 | |
| 18 | 45 | |
| 19 | 49 | |
| 20 | 88 |
About Matthew J. Naylor
Matthew J. Naylor is a scholar working on Immunology and Allergy, Oncology and Genetics, having authored 35 papers that have together received 1.8k indexed citations. Recurring topics across this work include Cancer Cells and Metastasis (13 papers), Cell Adhesion Molecules Research (8 papers) and Growth Hormone and Insulin-like Growth Factors (4 papers). The work is most often cited by research in Immunology and Allergy (279 citations), Oncology (845 citations) and Cancer Research (259 citations). Matthew J. Naylor has collaborated with scholars based in Australia, United States and United Kingdom. Frequent co-authors include Christopher J. Ormandy, Samantha R. Oakes, Thomas W. Owens, Jane E. Visvader, Geoffrey J. Lindeman, Charles Streuli, Franziska Schatzmann, Katrina Blazek, Jessica Harris and Na Li. Their work appears in journals such as Journal of Biological Chemistry, Journal of Clinical Investigation and Genes & Development.
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.