Gavin C. Harris

639 citations
21 papers · 524 · h-index 12

Impact in

Papers in

Gavin C. Harris

20 papers receiving 506 citations

Peers

Gavin C. Harris
Comparison fields: 5 of 36
  • Cancer Research 117
  • Pathology and Forensic Medicine 89
  • Oncology 43
  • Equine 2
  • Molecular Biology 40
Replace Yohei Hamaguchi with:
Yohei Hamaguchi Japan
Michael J. Pennison United States
Judith E. Grolleman Netherlands
Alexandra Chalastanis France
Sota Asaga Japan
Mahsa Vahdatinia United States
Jeroen van den Akker Netherlands
Wenjuan Yin China
Nour K. Abuhadra United States
Manjushree Anjanappa United States
Gavin C. Harris relative to Yohei Hamaguchi Japan Yohei Hamaguchi's profile →
Citations per field
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Yohei Hamaguchi · 1×
Citations per year

Countries citing papers authored by Gavin C. Harris

Since Specialization
Citations

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

Fields of papers citing papers by Gavin C. Harris

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gavin C. Harris. 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 Gavin C. Harris. The network helps show where Gavin C. Harris may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003116
2 201875
3 201263
4 200452
5 202035
6 200726
7 201524
8
The Christchurch Breast Cancer Patient Register: the first year.
201220
9 200318
10 201917
11 201116
12 200312
13 201612
14 201310
15 20089
16 20066
17 20106
18 20165
19 20241
20 20241

About Gavin C. Harris

Gavin C. Harris is a scholar working on Cancer Research, Pathology and Forensic Medicine, Oncology, Artificial Intelligence and Genetics, having authored 21 papers that have together received 524 indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (5 papers), Breast Lesions and Carcinomas (3 papers), Cancer Genomics and Diagnostics (2 papers), AI in cancer detection (2 papers), Cancer Immunotherapy and Biomarkers (1 paper), Cancer Cells and Metastasis (1 paper), Genomic variations and chromosomal abnormalities (1 paper) and MicroRNA in disease regulation (1 paper). The work is most often cited by research in Cancer Research (117 citations), Pathology and Forensic Medicine (89 citations), Oncology (43 citations), Equine (2 citations) and Molecular Biology (40 citations). Gavin C. Harris has collaborated with scholars based in New Zealand, Australia and United Kingdom. Frequent co-authors include Bridget Anne Robinson, Sarah Pinder, Ian Ogilvie Ellis, C.W. Elston, Helen Denley, Andrew John Evans, Andrew H.S. Lee, Graeme Perks, Cyril Fisher and Thomas Alasdair McCulloch. Their work appears in journals such as Histopathology, Clinical Breast Cancer, The American Journal of Surgical Pathology, The Journal of Pathology and BMC Cancer.

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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