Matthew G. Annis
- Molecular Biology top 5%
- Oncology top 5%
- Cancer Research top 2%
- Immunology top 5%
- Cell Biology top 5%
- Co-authors
- Peter M. SiegelDavid W. AndrewsBrian LeberSébastien TabarièsPaulina J DlugoszLinda Z. PennApril A. N. RoseZhifeng Dong
- Topics
- Cell death mechanisms and regulation (8 papers)Cancer, Hypoxia, and Metabolism (7 papers)Cancer Cells and Metastasis (6 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryJournal of Clinical Oncology
- Partner nations
- CanadaUnited StatesUnited Kingdom
In The Last Decade
Matthew G. Annis
43 papers receiving 3.0k citations
Hit Papers
Peers
Comparison fields: 5 of 110
- Molecular Biology 2.0k
- Oncology 835
- Cancer Research 827
- Immunology 484
- Cell Biology 246
Countries citing papers authored by Matthew G. Annis
This map shows the geographic impact of Matthew G. Annis'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 G. Annis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew G. Annis more than expected).
Fields of papers citing papers by Matthew G. Annis
This network shows the impact of papers produced by Matthew G. Annis. 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 G. Annis. The network helps show where Matthew G. Annis may publish in the future.
Co-authorship network of co-authors of Matthew G. Annis
This figure shows the co-authorship network connecting the top 25 collaborators of Matthew G. Annis. A scholar is included among the top collaborators of Matthew G. Annis 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 G. Annis. Matthew G. Annis is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 13 | |
| 2 | 3 | |
| 3 | 15 | |
| 4 | 3 | |
| 5 | 8 | |
| 6 | 39 | |
| 7 | 34 | |
| 8 | 9 | |
| 9 | 26 | |
| 10 | 9 | |
| 11 | 161 | |
| 12 | PDK1-Dependent Metabolic Reprogramming Dictates Metastatic Potential in Breast Cancerbreakdown → | 437 |
| 13 | 22 | |
| 14 | 39 | |
| 15 | 93 | |
| 16 | 168 | |
| 17 | 54 | |
| 18 | Functional requirement for RGD and PKD domains of GPNMB in breast cancer metastasis | 2 |
| 19 | 120 | |
| 20 | 107 |
About Matthew G. Annis
Matthew G. Annis is a scholar working on Immunology and Allergy, Cancer Research and Oncology, having authored 44 papers that have together received 3.0k indexed citations. Recurring topics across this work include Cell death mechanisms and regulation (8 papers), Cancer, Hypoxia, and Metabolism (7 papers) and Cancer Cells and Metastasis (6 papers). The work is most often cited by research in Cancer Research (827 citations), Oncology (835 citations) and Molecular Biology (2.0k citations). Matthew G. Annis has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include Peter M. Siegel, David W. Andrews, Brian Leber, Sébastien Tabariès, Paulina J Dlugosz, Linda Z. Penn, April A. N. Rose, Zhifeng Dong, Erinn Soucié and Julie St‐Pierre. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Oncology.
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.