Mal Irvine

505 citations
11 papers · 340 · h-index 9

Impact in

    • Cutaneous Melanoma Detection and Management
    • Cancer Immunotherapy and Biomarkers
    • CAR-T cell therapy research
    • Cancer-related Molecular Pathways
    • Melanoma and MAPK Pathways

Papers in

    • Cancer-related Molecular Pathways 3
    • Cancer Immunotherapy and Biomarkers 3
    • Melanoma and MAPK Pathways 3
    • Retinal Development and Disorders 2

Mal Irvine

11 papers receiving 337 citations

Peers

Mal Irvine
Comparison fields: 5 of 56
  • Oncology 156
  • Molecular Biology 247
  • Immunology 72
  • Cancer Research 45
  • Cell Biology 31
Replace Rikio Suzuki with:
Rikio Suzuki Japan
Cara Hobbs United States
Aida Shahrabi Netherlands
Marieke I.G. Raaijmakers Switzerland
Ashleigh Stewart Australia
Valentina Perotti Italy
Curtis H. Kugel United States
Erkan Yuca United States
Fernanda Costa Svedman Sweden
Bina Julian United States
Mal Irvine relative to Rikio Suzuki Japan Rikio Suzuki's profile →
Citations per field
00.5×1.5×
Rikio Suzuki · 1×
Citations per year

Countries citing papers authored by Mal Irvine

Since Specialization
Citations

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

Fields of papers citing papers by Mal Irvine

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Mal Irvine, 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 Mal Irvine Line = papers co-authored together Mal Irvine links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1 201871
2 202367
3 201453
4 201050
5 201027
6 201923
7 200721
8 201013
9 202212
10 20222
11 20191

About Mal Irvine

Mal Irvine is a scholar working on Oncology, Molecular Biology, Ophthalmology, Immunology and Epidemiology, having authored 11 papers that have together received 340 indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (3 papers), Melanoma and MAPK Pathways (3 papers), Cancer Immunotherapy and Biomarkers (3 papers), Immunotherapy and Immune Responses (2 papers), Retinal Development and Disorders (2 papers), Ocular Oncology and Treatments (2 papers), Telomeres, Telomerase, and Senescence (1 paper) and Cancer Genomics and Diagnostics (1 paper). The work is most often cited by research in Oncology (156 citations), Molecular Biology (247 citations), Immunology (72 citations), Cancer Research (45 citations) and Cell Biology (31 citations). Mal Irvine has collaborated with scholars based in Australia, Germany and United Kingdom. Frequent co-authors include Helen Rizos, Richard Kefford, Ashleigh Stewart, Bernadette Pedersen, Suzanah C. Boyd, Richard A. Scolyer, Matteo S. Carlino, Carina Fung, Georgina V. Long and Therese M. Becker. Their work appears in journals such as Cell Cycle, Human Mutation, Clinical Cancer Research, Cancers and Oncogenesis.

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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