Shoni Colquist

13 papers receiving 351 citations

Peers

Shoni Colquist
Comparison fields: 5 of 46
  • Health Information Management 26
  • Oncology 94
  • Artificial Intelligence 97
  • Health Informatics 3
  • Computational Mathematics 1
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Countries citing papers authored by Shoni Colquist

Since Specialization
Citations

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

Fields of papers citing papers by Shoni Colquist

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

13 of 13 papers shown
#Work
1 2010122
2 200970
3 201255
4 201519
5
A Simple Pipeline Application for Identifying and Negating SNOMED Clinical Terminology in Free Text
200919
6 201117
7 200915
8
Classification of pathology reports for cancer registry notifications.
201213
9
Structured Pathology Reporting for Cancer from Free Text: Lung Cancer Case Study
201012
10 20128
11
Colorectal Cancer Surgery Rates in Indigenous Versus Nonindigenous Patients
20132
12
Complex cancer surgery for rare cancers: Volume-associated outcomes for patients undergoing pancreaticoduodenectomy in Queensland
20151
13
Patterns of Mastectomy for Invasive Breast Cancer in Queensland
20131

About Shoni Colquist

Shoni Colquist is a scholar working on Oncology, Surgery, Molecular Biology, Artificial Intelligence and Cancer Research, having authored 13 papers that have together received 354 indexed citations. Recurring topics across this work include Global Cancer Incidence and Screening (2 papers), Topic Modeling (2 papers), Biomedical Text Mining and Ontologies (2 papers), Colorectal Cancer Screening and Detection (2 papers), Radiomics and Machine Learning in Medical Imaging (1 paper), Pancreatic and Hepatic Oncology Research (1 paper), Cancer Genomics and Diagnostics (1 paper) and Polyomavirus and related diseases (1 paper). The work is most often cited by research in Health Information Management (26 citations), Oncology (94 citations), Artificial Intelligence (97 citations), Health Informatics (3 citations) and Computational Mathematics (1 citation). Shoni Colquist has collaborated with scholars based in Australia, United Kingdom and Belgium. Frequent co-authors include Anthony Nguyen, Michael Lawley, Edwina Duhig, Rayleen Bowman, Belinda E. Clarke, Geoffrey Mitchell, Letitia Burridge, David Hansen, Michael Poulsen and Sandro Porceddu. Their work appears in journals such as Journal of the American Medical Informatics Association, International Journal of Radiation Oncology*Biology*Physics, Patient Preference and Adherence, Health & Social Care in the Community and Asia-Pacific Journal of Clinical 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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