Michael E. Fraser

23.9k citations
50 papers · 2.4k · h-index 24

Impact in

Papers in

Michael E. Fraser

48 papers receiving 2.3k citations

Peers

Michael E. Fraser
Comparison fields: 5 of 112
  • Cancer Research 408
  • Oncology 498
  • Urology 108
  • Molecular Biology 1.3k
  • Pulmonary and Respiratory Medicine 509
Replace PAULA M. MARTIKAINEN with:
PAULA M. MARTIKAINEN Finland
Yuzo Furuya Japan
Ann M. McNulty United States
Makoto Sumitomo Japan
Bora Gürel United States
Iris Elisabeth Eder Austria
Wendy J. Huss United States
Hannes Neuwirt Austria
Colby L. Eaton United Kingdom
DA Quigley United States
Michael E. Fraser relative to PAULA M. MARTIKAINEN Finland PAULA M. MARTIKAINEN's profile →
Citations per field
00.5×2×4×5.3×
PAULA M. MARTIKAINEN · 1×
Citations per year

Countries citing papers authored by Michael E. Fraser

Since Specialization
Citations

This map shows the geographic impact of Michael E. Fraser'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 Michael E. Fraser with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael E. Fraser more than expected).

Fields of papers citing papers by Michael E. Fraser

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael E. Fraser. 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 Michael E. Fraser. The network helps show where Michael E. Fraser may publish in the future.

Co-authors

The 25 scholars most cited alongside Michael E. Fraser, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Michael E. Fraser Line = papers co-authored together Michael E. Fraser links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006217
2
p53 is a determinant of X-linked inhibitor of apoptosis protein/Akt-mediated chemoresistance in human ovarian cancer cells.
2003167
3 2003153
4 2007149
5 2002127
6 2017122
7 2016116
8 2011113
9 2011102
10 2014101
11 201890
12 200683
13 200873
14 201172
15 200570
16 200868
17 202066
18 200953
19 201950
20 200147

About Michael E. Fraser

Michael E. Fraser is a scholar working on Cancer Research, Pulmonary and Respiratory Medicine, Molecular Biology, Oncology and Pathology and Forensic Medicine, having authored 50 papers that have together received 2.4k indexed citations. Recurring topics across this work include Prostate Cancer Treatment and Research (15 papers), Prostate Cancer Diagnosis and Treatment (10 papers), Cell death mechanisms and regulation (8 papers), Cancer-related Molecular Pathways (7 papers), Cancer Genomics and Diagnostics (6 papers), Molecular Biology Techniques and Applications (4 papers), Epigenetics and DNA Methylation (3 papers) and Cancer Mechanisms and Therapy (3 papers). The work is most often cited by research in Cancer Research (408 citations), Oncology (498 citations), Urology (108 citations), Molecular Biology (1.3k citations) and Pulmonary and Respiratory Medicine (509 citations). Michael E. Fraser has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include Benjamin K. Tsang, Robert Glen Bristow, Xiaojuan Yan, Xiaokui Yang, Theodorus van der Kwast, Brendan M. Leung, Tao Bai, Paul Christopher Boutros, Han C. Dan and Jin Quan Cheng. Their work appears in journals such as BMC Bioinformatics, Nature Communications, European Urology Focus, Oncogene and Clinical 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.

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