Mathew J. Ellis

5.7k total citations · 3 hit papers
10 papers, 3.5k citations indexed

About

Mathew J. Ellis is a scholar working on Oncology, Cancer Research and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Mathew J. Ellis has authored 10 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Oncology, 5 papers in Cancer Research and 4 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Mathew J. Ellis's work include HER2/EGFR in Cancer Research (3 papers), Cancer Cells and Metastasis (3 papers) and Breast Cancer Treatment Studies (2 papers). Mathew J. Ellis is often cited by papers focused on HER2/EGFR in Cancer Research (3 papers), Cancer Cells and Metastasis (3 papers) and Breast Cancer Treatment Studies (2 papers). Mathew J. Ellis collaborates with scholars based in United States, United Kingdom and Canada. Mathew J. Ellis's co-authors include Daniel F. Hayes, Leon W.M.M. Terstappen, Massimo Cristofanilli, G. Thomas Budd, Gerald V. Doyle, Michael Craig Miller, Jeri Matera, Seungmok Paik, J Cuzick and I E Smith and has published in prestigious journals such as Journal of Clinical Oncology, JNCI Journal of the National Cancer Institute and Cancer Research.

In The Last Decade

Mathew J. Ellis

10 papers receiving 3.5k citations

Hit Papers

Assessment of Ki67 in Breast Cancer: Recommendations from... 2005 2026 2012 2019 2011 2005 2006 400 800 1.2k

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Mathew J. Ellis United States 8 2.4k 1.9k 730 647 424 10 3.5k
E. Shelley Hwang United States 23 2.5k 1.0× 1.1k 0.6× 389 0.5× 1.1k 1.7× 396 0.9× 41 4.6k
Claus Hanusch Germany 27 3.3k 1.4× 2.2k 1.1× 596 0.8× 514 0.8× 640 1.5× 81 4.3k
Joon Jeong South Korea 33 1.9k 0.8× 1.7k 0.9× 677 0.9× 1.1k 1.7× 573 1.4× 274 4.0k
G. Viale Italy 14 1.7k 0.7× 1.4k 0.7× 563 0.8× 807 1.2× 511 1.2× 47 3.0k
Bassam Abdulkarim Canada 32 1.2k 0.5× 1.2k 0.6× 878 1.2× 1.3k 2.0× 277 0.7× 98 3.7k
Gina G. Chung United States 25 1.5k 0.6× 911 0.5× 510 0.7× 1.3k 2.1× 307 0.7× 68 3.2k
Yeon Hee Park South Korea 34 2.5k 1.0× 1.5k 0.8× 1.3k 1.8× 1.1k 1.8× 366 0.9× 196 4.1k
Brigitte Sigal‐Zafrani France 36 2.3k 1.0× 2.2k 1.2× 541 0.7× 1.0k 1.6× 1.1k 2.7× 110 4.5k
Peter Vermeulen Belgium 35 2.3k 1.0× 1.3k 0.7× 776 1.1× 1.4k 2.2× 319 0.8× 79 4.0k
Rita S. Mehta United States 34 1.4k 0.6× 1.3k 0.7× 997 1.4× 580 0.9× 374 0.9× 81 4.0k

Countries citing papers authored by Mathew J. Ellis

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

10 of 10 papers shown
1.
Silva-Fisher, Jessica, Abdallah M. Eteleeb, Torsten O. Nielsen, et al.. (2017). Abstract 2547: Discovery and characterization of late-stage breast cancer estrogen receptor alpha 1 bound long non-coding RNAs. Cancer Research. 77(13_Supplement). 2547–2547. 2 indexed citations
2.
Wang, Liming, Mathew J. Ellis, José A. Gómez, et al.. (2012). Mechanisms of the proteinuria induced by Rho GTPases. Kidney International. 81(11). 1075–1085. 118 indexed citations
3.
Nielsen, Torsten O., Roger A’Hern, R. Charles Coombes, et al.. (2011). Assessment of Ki67 in Breast Cancer: Recommendations from the International Ki67 in Breast Cancer Working Group. JNCI Journal of the National Cancer Institute. 103(22). 1656–1664. 1488 indexed citations breakdown →
4.
Wang, Liming, Mathew J. Ellis, Timothy A. Fields, David N. Howell, & Robert F. Spurney. (2008). Beneficial Effects of the Rho Kinase Inhibitor Y27632 in Murine Puromycin Aminonucleoside Nephrosis. Kidney & Blood Pressure Research. 31(2). 111–121. 24 indexed citations
5.
Budd, G. Thomas, Massimo Cristofanilli, Mathew J. Ellis, et al.. (2006). Circulating Tumor Cells versus Imaging—Predicting Overall Survival in Metastatic Breast Cancer. Clinical Cancer Research. 12(21). 6403–6409. 594 indexed citations breakdown →
6.
Cristofanilli, Massimo, Daniel F. Hayes, G. Thomas Budd, et al.. (2005). Circulating Tumor Cells: A Novel Prognostic Factor for Newly Diagnosed Metastatic Breast Cancer. Journal of Clinical Oncology. 23(7). 1420–1430. 857 indexed citations breakdown →
7.
Hayes, Daniel F., G. Thomas Budd, Mathew J. Ellis, et al.. (2005). 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 indexed citations
9.
Schneider, Susan, et al.. (2003). Virtual Reality Intervention for Older Women with Breast Cancer. CyberPsychology & Behavior. 6(3). 301–307. 108 indexed citations
10.
Stearns, Vered, Baljit Singh, Theodore N. Tsangaris, et al.. (2003). 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.. PubMed. 9(1). 124–33. 84 indexed citations

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.

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