Neil Carleton

910 citations
38 papers · 586 · h-index 15

Impact in

    • Breast Cancer Treatment Studies
    • Cancer Genomics and Diagnostics
    • Pancreatic and Hepatic Oncology Research
    • Colorectal Cancer Screening and Detection
    • Cancer Cells and Metastasis

Papers in

Neil Carleton

33 papers receiving 576 citations

Peers

Neil Carleton
Comparison fields: 5 of 91
  • Cancer Research 140
  • Oncology 218
  • Surfaces, Coatings and Films 53
  • Health Informatics 9
  • Pulmonary and Respiratory Medicine 127
Replace Hiromitsu Jinno with:
Hiromitsu Jinno Japan
Nobuhisa Yoshikawa Japan
Arjun K. Menta United States
Benigno Acea Nebril Spain
S. Gundersen Norway
Francesca Bono Italy
Şeyda Gündüz Türkiye
Kuan‐Chou Lin Taiwan
Neil Carleton relative to Hiromitsu Jinno Japan Hiromitsu Jinno's profile →
Citations per field
00.5×
Hiromitsu Jinno · 1×
Citations per year

Countries citing papers authored by Neil Carleton

Since Specialization
Citations

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

Fields of papers citing papers by Neil Carleton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2022133
2 201961
3 202148
4 202034
5 202231
6 202028
7 199428
8 202024
9 202123
10 202022
11 201917
12 201817
13 201915
14 201915
15 201814
16 202212
17 201412
18 20209
19 20197
20 20216

About Neil Carleton

Neil Carleton is a scholar working on Oncology, Pulmonary and Respiratory Medicine, Cancer Research, Molecular Biology and Pathology and Forensic Medicine, having authored 38 papers that have together received 586 indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (5 papers), Colorectal Cancer Screening and Detection (5 papers), Radiomics and Machine Learning in Medical Imaging (5 papers), Pancreatic and Hepatic Oncology Research (4 papers), Neuroendocrine Tumor Research Advances (4 papers), Genetic factors in colorectal cancer (3 papers), Cancer Genomics and Diagnostics (3 papers) and Global Cancer Incidence and Screening (3 papers). The work is most often cited by research in Cancer Research (140 citations), Oncology (218 citations), Surfaces, Coatings and Films (53 citations), Health Informatics (9 citations) and Pulmonary and Respiratory Medicine (127 citations). Neil Carleton has collaborated with scholars based in United States, China and South Korea. Frequent co-authors include Adrian V. Lee, Steffi Oesterreich, Shyam Thakkar, Peter C. Lucas, Dario A.A. Vignali, Sayali Onkar, Tullia C. Bruno, Aslam Syed, Keith E. Cook and Rei Ukita. Their work appears in journals such as JNCI Journal of the National Cancer Institute, Gastrointestinal Endoscopy, Gastroenterology, Cancer Research and Acta Biomaterialia.

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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