Devon Spika

3.4k citations
8 papers · 152 · h-index 6

Impact in

    • Global Cancer Incidence and Screening
    • Colorectal Cancer Screening and Detection
    • Cancer Risks and Factors
    • Inflammatory Biomarkers in Disease Prognosis
    • Health disparities and outcomes

Papers in

    • Global Cancer Incidence and Screening 5
    • Colorectal Cancer Screening and Detection 4
    • Multiple and Secondary Primary Cancers 2

Devon Spika

8 papers receiving 151 citations

Peers

Devon Spika
Comparison fields: 5 of 44
  • Oncology 102
  • Health 15
  • Pathology and Forensic Medicine 22
  • General Health Professions 20
  • Obstetrics and Gynecology 6
Replace Yichen Chen with:
Yichen Chen China
Raziye Özdemir Türkiye
Nikki Hayes United States
Niall J. O’Sullivan Ireland
Joonas Miettinen Finland
Nina Afshar Australia
Leigh Boehmer United States
Jennifer S. Haas United States
Line Flytkjær Virgilsen Denmark
Timothy E. Gibbs United States
Devon Spika relative to Yichen Chen China Yichen Chen's profile →
Citations per field
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Yichen Chen · 1×
Citations per year

Countries citing papers authored by Devon Spika

Since Specialization
Citations

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

Fields of papers citing papers by Devon Spika

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

8 of 8 papers shown
#Work
1 201534
2 201530
3 201725
4 201724
5 201920
6 202012
7 20155
8
Population-Based Cancer Survival in Canada and the United States by Socioeconomic Status: Findings from the CONCORD-2 Study.
20222

About Devon Spika

Devon Spika is a scholar working on Oncology, Epidemiology, Health, General Health Professions and Pathology and Forensic Medicine, having authored 8 papers that have together received 152 indexed citations. Recurring topics across this work include Global Cancer Incidence and Screening (5 papers), Colorectal Cancer Screening and Detection (4 papers), Health disparities and outcomes (2 papers), Multiple and Secondary Primary Cancers (2 papers), Lymphoma Diagnosis and Treatment (1 paper), Birth, Development, and Health (1 paper), Migration, Health and Trauma (1 paper) and Employment and Welfare Studies (1 paper). The work is most often cited by research in Oncology (102 citations), Health (15 citations), Pathology and Forensic Medicine (22 citations), General Health Professions (20 citations) and Obstetrics and Gynecology (6 citations). Devon Spika has collaborated with scholars based in United Kingdom, United States and Sweden. Frequent co-authors include Claudia Allemani, Laura M. Woods, Ting Ying Ng, Audrey Bonaventure, Michel P. Coleman, Shing Fung Lee, Bernard Rachet, Libby Ellis, Camille Maringe and Helena Carreira. Their work appears in journals such as BMC Cancer, Cancer, BMC Public Health, Annals of Epidemiology and Social Science & Medicine.

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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