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PURPOSE: To evaluate the cancer research effort of some major countries over two 5-year periods (2010-2014 and 2015-2019) on the basis of scientific publications and interventional clinical trial metrics and to analyze the relationship between research effort and cancer burden (incidence and mortality). MATERIALS AND METHODS: Clinical trials were extracted from ClinicalTrials.gov using a specific query. Publications were identified in Web of Science (WoS) using a query based on keywords and were then analyzed using InCites, a bibliometric tool. Bibliometric indicators were computed per country and per period. RESULTS: During 2010-2019, 1 120 821 cancer-related publications were identified in WoS, with 447 900 and 672 921 (+50%) articles respectively published in 2010-2014 and 2015-2019. Meanwhile, 38% and 7% of the articles were published in oncology and cell biology journals, respectively. Exactly 30% of the published articles were contributed by the USA. In the study period, China strongly increased its production and overspecialization. Apart from China, which had a low normalized citation impact (NCI), almost all countries increased their NCIs; in particular, France's NCI increased from 1.69 to 2.44. As for clinical trials, over 36 856 were opened worldwide during that period. Over 17 000 (46.5%) opened in the USA, which remained the leader during the study period. China ranked second worldwide in terms of the number of open trials in 2015-2019. Results revealed that the 17 cancer localizations versus cancer burden and research effort showed no evident relationship. CONCLUSION: The results may provide a scientific basis for decision making for continued research. Based on bibliometric data, this type of study will aid public health policymaking and lead to a more transparent public fund allocation.
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Stored only when both papers are in the corpus — 6 citations exist upstream.
Papers that cite the same references — the relational fallback while embeddings are still backfilling.
Imported from OpenAlex (CC0) — nothing here is generated.