James Freeman

851 citations
14 papers · 701 · 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
    • Cutaneous Melanoma Detection and Management

Papers in

    • Cancer Cells and Metastasis 6
    • Cutaneous Melanoma Detection and Management 1
    • Cancer Genomics and Diagnostics 4

James Freeman

13 papers receiving 692 citations

Peers

James Freeman
Comparison fields: 5 of 56
  • Cancer Research 359
  • Oncology 370
  • Immunology 141
  • Ophthalmology 47
  • Molecular Biology 243
Replace Kasey L. Couts with:
Kasey L. Couts United States
Brindha Shivalingam Australia
Judith Kohlmeyer Germany
Berglind O. Einarsdottir Sweden
Grace A. Hernandez United States
Paris Vail United States
Lydia Warburton Australia
Patrick Grierson United States
Kimberly M. Komatsubara United States
Carolina Reduzzi Italy
James Freeman relative to Kasey L. Couts United States Kasey L. Couts's profile →
Citations per field
00.5×
Kasey L. Couts · 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

14 of 14 papers shown
#Work
1 2015267
2 201489
3 201969
4 201254
5 202051
6 201750
7 201448
8 201844
9 201917
10 20219
11
DETECTION OF CHROMOSOMAL ABERRATIONS ASSOCIATED WITH PROGNOSIS OF UVEAL MELANOMA USING CIRCULATING TUMOUR CELLS
20171
12 20151
13 19911
14 20200

About James Freeman

James Freeman is a scholar working on Oncology, Cancer Research, Immunology, Molecular Biology and Ophthalmology, having authored 14 papers that have together received 701 indexed citations. Recurring topics across this work include Cancer Cells and Metastasis (6 papers), Cancer Genomics and Diagnostics (4 papers), Immunotherapy and Immune Responses (3 papers), Ocular Oncology and Treatments (2 papers), Epigenetics and DNA Methylation (1 paper), Cutaneous Melanoma Detection and Management (1 paper), Microfluidic and Bio-sensing Technologies (1 paper) and Cancer, Stress, Anesthesia, and Immune Response (1 paper). The work is most often cited by research in Cancer Research (359 citations), Oncology (370 citations), Immunology (141 citations), Ophthalmology (47 citations) and Molecular Biology (243 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, Muhammad A. Khattak, Tarek Meniawy, Michelle R. Pereira, Chris Lomma, Johnny Lo and Michael Millward. Their work appears in journals such as Oncotarget, Cancers, American Journal of Clinical Pathology, The Oncologist and Clinical and Experimental Ophthalmology.

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.

Explore authors with similar magnitude of impact