Mathew J. Ellis
- Oncology top 1%
- Cancer Research top 0.5%
- Pulmonary and Respiratory Medicine top 5%
- Molecular Biology
- Pathology and Forensic Medicine top 5%
- Co-authors
- Daniel F. HayesGerald V. DoyleMassimo CristofanilliJeri MateraMichael Craig MillerLeon W.M.M. TerstappenG. Thomas BuddTorsten O. Nielsen
- Topics
- HER2/EGFR in Cancer Research (3 papers)Cancer Cells and Metastasis (3 papers)Breast Cancer Treatment Studies (2 papers)
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
Mathew J. Ellis
10 papers receiving 3.5k citations
Hit Papers
Peers
Comparison fields: 5 of 127
- Oncology 2.4k
- Cancer Research 1.9k
- Pulmonary and Respiratory Medicine 730
- Molecular Biology 647
- Pathology and Forensic Medicine 424
Countries citing papers authored by Mathew J. Ellis
This map shows the geographic impact of Mathew J. Ellis'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 Mathew J. Ellis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mathew J. Ellis more than expected).
Fields of papers citing papers by Mathew J. Ellis
This network shows the impact of papers produced by Mathew J. Ellis. 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 Mathew J. Ellis. The network helps show where Mathew J. Ellis may publish in the future.
Co-authorship network of co-authors of Mathew J. Ellis
This figure shows the co-authorship network connecting the top 25 collaborators of Mathew J. Ellis. A scholar is included among the top collaborators of Mathew J. Ellis 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 Mathew J. Ellis. Mathew J. Ellis 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 | 118 | |
| 3 | Assessment of Ki67 in Breast Cancer: Recommendations from the International Ki67 in Breast Cancer Working Groupbreakdown → | 1488 |
| 4 | 24 | |
| 5 | Circulating Tumor Cells versus Imaging—Predicting Overall Survival in Metastatic Breast Cancerbreakdown → | 594 |
| 6 | Circulating Tumor Cells: A Novel Prognostic Factor for Newly Diagnosed Metastatic Breast Cancerbreakdown → | 857 |
| 7 | Cristofanilli M, Hayes DF, Budd GT et al.Circulating tumor cells: a novel prognostic factor for newly diagnosed metastatic breast cancer. J Clin Oncol 23:1420-30 | 2 |
| 8 | 108 | |
| 9 | 255 | |
| 10 | A prospective randomized pilot study to evaluate predictors of response in serial core biopsies to single agent neoadjuvant doxorubicin or paclitaxel for patients with locally advanced breast cancer. | 84 |
About Mathew J. Ellis
Mathew J. Ellis is a scholar working on Cancer Research, Nephrology and Oncology, having authored 10 papers that have together received 3.5k indexed citations. Recurring topics across this work include HER2/EGFR in Cancer Research (3 papers), Cancer Cells and Metastasis (3 papers) and Breast Cancer Treatment Studies (2 papers). The work is most often cited by research in Cancer Research (1.9k citations), Oncology (2.4k citations) and Pathology and Forensic Medicine (424 citations). Mathew J. Ellis has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Daniel F. Hayes, Gerald V. Doyle, Massimo Cristofanilli, Jeri Matera, Michael Craig Miller, Leon W.M.M. Terstappen, G. Thomas Budd, Torsten O. Nielsen, Tracy Lively and Lisa M. McShane. Their work appears in journals such as Journal of Clinical Oncology, JNCI Journal of the National Cancer Institute and Cancer Research.
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.