Devon Spika
Impact in
- Oncology top 5%
- Global Cancer Incidence and Screening
- Colorectal Cancer Screening and Detection
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
Papers in
-
- Ovarian cancer diagnosis and treatment 2
- Health 1
- Health disparities and outcomes 1
- Co-authors
- Claudia Allemani (5 shared papers)Laura M. Woods (2 shared papers)Camille Maringe (1 shared paper)Libby Ellis (1 shared paper)Bernard Rachet (1 shared paper)Ting Ying Ng (1 shared paper)Rhea Harewood (3 shared papers)Michel P. Coleman (3 shared papers)
- Journals
- BMC Cancer (2 papers)Gynecologic Oncology (2 papers)Annals of Epidemiology (1 paper)The Lancet (1 paper)Social Science & Medicine (1 paper)
- Partner nations
- United KingdomUnited StatesSweden
In The Last Decade
Devon Spika
11 papers receiving 2.5k citations
Devon Spika's Hit Papers
Peers
Comparison fields: 5 of 118
- Oncology 797
- Cancer Research 356
- Reproductive Medicine 174
- Pulmonary and Respiratory Medicine 316
- Hepatology 65
Countries citing papers authored by Devon Spika
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
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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Global surveillance of cancer survival 1995–2009: analysis of individual data for 25 676 887 patients from 279 population-based registries in 67 countries (CONCORD-2) Hit paper breakdown → | 2014 | 1963 |
| 2 | 2017 | 160 | |
| 3 | 2016 | 112 | |
| 4 | 2016 | 106 | |
| 5 | 2015 | 51 | |
| 6 | 2017 | 32 | |
| 7 | 2017 | 30 | |
| 8 | 2015 | 30 | |
| 9 | 2019 | 25 | |
| 10 | 2020 | 14 | |
| 11 | Population-Based Cancer Survival in Canada and the United States by Socioeconomic Status: Findings from the CONCORD-2 Study. | 2022 | 4 |
About Devon Spika
Devon Spika is a scholar working on Reproductive Medicine, Health, Demography, Pathology and Forensic Medicine and Clinical Psychology, having authored 11 papers that have together received 2.5k indexed citations. Recurring topics across this work include Ovarian cancer diagnosis and treatment (2 papers), Global Cancer Incidence and Screening (1 paper), Health disparities and outcomes (1 paper), Lymphoma Diagnosis and Treatment (1 paper), Insurance, Mortality, Demography, Risk Management (1 paper), Employment and Welfare Studies (1 paper), Acute Lymphoblastic Leukemia research (1 paper) and Migration, Health and Trauma (1 paper). The work is most often cited by research in Oncology (797 citations), Cancer Research (356 citations), Reproductive Medicine (174 citations), Pulmonary and Respiratory Medicine (316 citations) and Hepatology (65 citations). Devon Spika has collaborated with scholars based in United Kingdom, United States and Sweden. Frequent co-authors include Claudia Allemani, Laura M. Woods, Camille Maringe, Libby Ellis, Bernard Rachet, Ting Ying Ng, Rhea Harewood, Michel P. Coleman, Shing Fung Lee and Helena Carreira. Their work appears in journals such as BMC Cancer, Gynecologic Oncology, Annals of Epidemiology, The Lancet 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.