Matthew J. Ellis

65.5k citations
321 papers · 26.9k indexed · 13 hit papers · h-index 65
Topics
Breast Cancer Treatment Studies (115 papers)Estrogen and related hormone effects (91 papers)HER2/EGFR in Cancer Research (83 papers)

In The Last Decade

Matthew J. Ellis

309 papers receiving 26.3k citations

Hit Papers

Circulating Tumor Cells, Disease Progression, and Surviva...20012026200920172004200920092017200610002.0k3.0k

Peers

Matthew J. Ellis
Comparison fields: 5 of 173
  • Oncology 15.9k
  • Cancer Research 13.1k
  • Molecular Biology 9.0k
  • Pulmonary and Respiratory Medicine 6.7k
  • Genetics 4.7k
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Matthew J. Ellis relative to Manuel Hidalgo United States Manuel Hidalgo's profile →
Citations per field
00.5×4.6×
Manuel Hidalgo · 1×
Citations per year

Countries citing papers authored by Matthew J. Ellis

Since Specialization
Citations

This map shows the geographic impact of Matthew 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 Matthew 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 Matthew J. Ellis more than expected).

Fields of papers citing papers by Matthew J. Ellis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Matthew 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 Matthew J. Ellis. The network helps show where Matthew J. Ellis may publish in the future.

Co-authorship network of co-authors of Matthew J. Ellis

This figure shows the co-authorship network connecting the top 25 collaborators of Matthew J. Ellis. A scholar is included among the top collaborators of Matthew 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 Matthew J. Ellis. Matthew J. Ellis is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 16
3 27
4 57
5 19
6 35
7 50
8 30
9 62
10 43
11 115
12 77
13 75
14 41
15 220
16 105
17 39
18
A Comparison of PAM50 Intrinsic Subtyping with Immunohistochemistry and Clinical Prognostic Factors in Tamoxifen-Treated Estrogen Receptor–Positive Breast Cancerbreakdown →
542
19 174
20 123

About Matthew J. Ellis

Matthew J. Ellis is a scholar working on Cancer Research, Oncology and Transplantation, having authored 321 papers that have together received 26.9k indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (115 papers), Estrogen and related hormone effects (91 papers) and HER2/EGFR in Cancer Research (83 papers). The work is most often cited by research in Cancer Research (13.1k citations), Oncology (15.9k citations) and Pulmonary and Respiratory Medicine (6.7k citations). Matthew J. Ellis has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Charles M. Perou, Daniel F. Hayes, X. Cynthia, G. Thomas Budd, Gerald V. Doyle, Massimo Cristofanilli, Joel S. Parker, Michael Craig Miller, W. Jeffrey Allard and Jeri Matera. Their work appears in journals such as Nature, New England Journal of Medicine and Proceedings of the National Academy of Sciences.

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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