Mark Phillips

1.9k citations
10 papers · 1.3k · 1 hit paper · h-index 7

Impact in

    • Cancer Genomics and Diagnostics
    • Cancer-related molecular mechanisms research
    • RNA modifications and cancer
    • Bioinformatics and Genomic Networks
    • Single-cell and spatial transcriptomics
    • Epigenetics and DNA Methylation

Papers in

Mark Phillips

9 papers receiving 1.2k citations

Mark Phillips's Hit Papers

The evolutionary history of 2,658 cancers 2020 · 705 citations
7050+2+4Years since publication200400600

Peers

Mark Phillips
Comparison fields: 5 of 118
  • Cancer Research 574
  • Molecular Biology 647
  • Oncology 235
  • Genetics 214
  • Hematology 83
Replace R. Jay Mashl with:
R. Jay Mashl Canada
W. M. Linehan United States
David Nicol Germany
Hsiao-Wei Chen Germany
Dimple Chakravarty United States
Andy G. Lynch United Kingdom
J. Todd Auman United States
Hyunghwan Kim Germany
Mark Pinese United States
Jonathan Nicholson Canada
Mark Phillips relative to R. Jay Mashl Canada R. Jay Mashl's profile →
Citations per field
00.5×1.5×2.0×
R. Jay Mashl · 1×
Citations per year

Countries citing papers authored by Mark Phillips

Since Specialization
Citations

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

Fields of papers citing papers by Mark Phillips

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mark Phillips. 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 Mark Phillips. The network helps show where Mark Phillips may publish in the future.

Co-authors

The 18 scholars most cited alongside Mark Phillips, 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 Mark Phillips Line = papers co-authored together Mark Phillips links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1
The evolutionary history of 2,658 cancers
Hit paper breakdown →
2020705
2 2020160
3 2020152
4 2022127
5 202077
6 199529
7 19999
8 20226
9 20251
10
Manual de equitación
19840

About Mark Phillips

Mark Phillips is a scholar working on Cancer Research, Management of Technology and Innovation, Management Information Systems, Molecular Biology and Animal Science and Zoology, having authored 10 papers that have together received 1.3k indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (2 papers), Bioinformatics and Genomic Networks (2 papers), Animal Virus Infections Studies (1 paper), RNA modifications and cancer (1 paper), Respiratory viral infections research (1 paper), DNA Repair Mechanisms (1 paper), Virus-based gene therapy research (1 paper) and SARS-CoV-2 and COVID-19 Research (1 paper). The work is most often cited by research in Cancer Research (574 citations), Molecular Biology (647 citations), Oncology (235 citations), Genetics (214 citations) and Hematology (83 citations). Mark Phillips has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Kate Talks, Ulrike M. Reiss, Susan Shapiro, Anne F. Riddell, Alison Long, Gerard Dolan, Amit C. Nathwani, Nina Amenta, Edward G. D. Tuddenham and Tamara Munzner. Their work appears in journals such as Nature Communications, Journal of General Virology, New England Journal of Medicine, Nature and Microbiology Spectrum.

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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