James Freeman

840 citations
11 papers · 668 · h-index 10

Impact in

    • Cancer Genomics and Diagnostics
  • Oncology top 10%
    • Cancer Cells and Metastasis
    • Cancer Immunotherapy and Biomarkers
    • CAR-T cell therapy research

Papers in

    • Cancer Cells and Metastasis 9
    • CAR-T cell therapy research 3
    • Cutaneous Melanoma Detection and Management 3
    • Cancer Immunotherapy and Biomarkers 1
    • Immunotherapy and Immune Responses 5

James Freeman

11 papers receiving 661 citations

Peers

James Freeman
Comparison fields: 5 of 57
  • Cancer Research 375
  • Oncology 417
  • Immunology 158
  • Ophthalmology 51
  • Molecular Biology 268
Replace Leslie Calapre with:
Leslie Calapre Australia
Michelle R. Pereira Australia
Stefan Filges Sweden
Katja Harbst Sweden
William Rickaby United Kingdom
Kimberly M. Komatsubara United States
Brindha Shivalingam Australia
Judith Kohlmeyer Germany
Lydia Warburton Australia
Nabil Amirouchene-Angelozzi Italy
James Freeman relative to Leslie Calapre Australia Leslie Calapre's profile →
Citations per field
00.5×2.8×
Leslie Calapre · 1×
Citations per year

Countries citing papers authored by James Freeman

Since Specialization
Citations

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

Fields of papers citing papers by James Freeman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

11 of 11 papers shown
#Work
1 2015260
2 201484
3 201967
4 201249
5 202048
6 201747
7 201445
8 201843
9 201915
10 20219
11
DETECTION OF CHROMOSOMAL ABERRATIONS ASSOCIATED WITH PROGNOSIS OF UVEAL MELANOMA USING CIRCULATING TUMOUR CELLS
20171

About James Freeman

James Freeman is a scholar working on Oncology, Immunology, Molecular Biology, Cancer Research and Ophthalmology, having authored 11 papers that have together received 668 indexed citations. Recurring topics across this work include Cancer Cells and Metastasis (9 papers), Immunotherapy and Immune Responses (5 papers), Cancer Genomics and Diagnostics (4 papers), CAR-T cell therapy research (3 papers), Cutaneous Melanoma Detection and Management (3 papers), Ocular Oncology and Treatments (2 papers), Single-cell and spatial transcriptomics (1 paper) and Cancer Immunotherapy and Biomarkers (1 paper). The work is most often cited by research in Cancer Research (375 citations), Oncology (417 citations), Immunology (158 citations), Ophthalmology (51 citations) and Molecular Biology (268 citations). James Freeman has collaborated with scholars based in Australia and United States. Frequent co-authors include Elin S. Gray, Mel Ziman, Michael Millward, Anna Reid, Tarek Meniawy, Muhammad A. Khattak, Michelle R. Pereira, Chris Lomma, Johnny Lo and Michael Millward. Their work appears in journals such as Cancers, Oncotarget, British Journal of Cancer, Journal of Translational Medicine and JCO Precision Oncology.

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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