J Ferlay

5.7k total citations · 1 hit paper
11 papers, 4.3k citations indexed

About

J Ferlay is a scholar working on Oncology, Economics and Econometrics and Immunology. According to data from OpenAlex, J Ferlay has authored 11 papers receiving a total of 4.3k indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Oncology, 2 papers in Economics and Econometrics and 2 papers in Immunology. Recurrent topics in J Ferlay's work include Global Cancer Incidence and Screening (4 papers), T-cell and Retrovirus Studies (2 papers) and Economic and Financial Impacts of Cancer (2 papers). J Ferlay is often cited by papers focused on Global Cancer Incidence and Screening (4 papers), T-cell and Retrovirus Studies (2 papers) and Economic and Financial Impacts of Cancer (2 papers). J Ferlay collaborates with scholars based in France, Thailand and Australia. J Ferlay's co-authors include Donald Maxwell Parkin, Paola Pisani, Núbia Muñóz, Sarah Whelan, Catherine Sauvaget, Antonio Ponti, Lawrence von Karsa, Nereo Segnan, Guglielmo Ronco and Nea Malila and has published in prestigious journals such as Radiotherapy and Oncology, Paediatric and Perinatal Epidemiology and PubMed.

In The Last Decade

J Ferlay

11 papers receiving 4.1k citations

Hit Papers

Cancer incidence, mortality and prevalence worldwide 2004 2026 2011 2018 2004 500 1000 1.5k 2.0k 2.5k

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
J Ferlay France 9 1.9k 1.2k 988 791 626 11 4.3k
Erich V. Kliewer Canada 34 1.7k 0.9× 1.6k 1.3× 986 1.0× 798 1.0× 471 0.8× 100 4.7k
Rajaraman Swaminathan India 30 1.6k 0.8× 935 0.8× 640 0.6× 468 0.6× 466 0.7× 96 3.4k
H Sancho-Garnier France 36 2.2k 1.1× 1.3k 1.1× 908 0.9× 609 0.8× 631 1.0× 137 4.6k
Carmen Martos Spain 27 1.1k 0.6× 1.0k 0.9× 630 0.6× 557 0.7× 358 0.6× 111 3.3k
D M Parkin United Kingdom 30 2.7k 1.4× 1.3k 1.0× 840 0.9× 1.0k 1.3× 915 1.5× 53 6.2k
Lucinda Billingham United Kingdom 37 2.1k 1.1× 736 0.6× 941 1.0× 1.2k 1.5× 861 1.4× 138 5.0k
Edgar P. Simard United States 26 1.8k 0.9× 2.9k 2.4× 796 0.8× 581 0.7× 506 0.8× 38 5.7k
Carmel J. Cohen United States 34 2.3k 1.2× 1.4k 1.1× 1.3k 1.3× 984 1.2× 565 0.9× 124 5.9k
Brittany L. Murphy United States 21 1.3k 0.7× 667 0.6× 775 0.8× 933 1.2× 346 0.6× 74 3.6k
A. Blythe Ryerson United States 28 1.9k 1.0× 1.7k 1.4× 400 0.4× 673 0.9× 657 1.0× 60 5.2k

Countries citing papers authored by J Ferlay

Since Specialization
Citations

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

Fields of papers citing papers by J Ferlay

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J Ferlay

This figure shows the co-authorship network connecting the top 25 collaborators of J Ferlay. A scholar is included among the top collaborators of J Ferlay based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with J Ferlay. J Ferlay is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

11 of 11 papers shown
1.
Borràs, Josep M., Yolande Lievens, Michael Bartoň, et al.. (2016). OC-0331: How many new cancer patients in Europe will require radiotherapy by 2025? An ESTRO-HERO analysis. Radiotherapy and Oncology. 119. S153–S153. 1 indexed citations
2.
Engholm, Gerda, Hans H. Storm, J Ferlay, et al.. (2012). NORDCAN: Cancer Incidence, Mortality, Prevalence and Survival in the Nordic Countries. 163 indexed citations
3.
Karsa, Lawrence von, Ahti Anttila, Guglielmo Ronco, et al.. (2008). Cancer screening in the European Union. Report on the implementation of the Council Recommendation on cancer screening.. 234 indexed citations
4.
Ferlay, J. (2004). Cancer incidence, mortality and prevalence worldwide. Medical Entomology and Zoology. 2988 indexed citations breakdown →
5.
Dm, Parkin, et al.. (2003). Cancer in Africa. 21 indexed citations
6.
Ferlay, J. (2001). GLOBOCAN 2000. Cancer incidence, mortality and prevalence worldwide, Version 1.0. Medical Entomology and Zoology. 443 indexed citations
7.
Pisani, Paola, Donald Maxwell Parkin, Núbia Muñóz, & J Ferlay. (1997). Cancer and infection: estimates of the attributable fraction in 1990.. PubMed. 6(6). 387–400. 312 indexed citations
8.
Sriamporn, Supannee, et al.. (1996). Incidence of childhood cancer in Thailand 1988–1991. Paediatric and Perinatal Epidemiology. 10(1). 73–85. 18 indexed citations
9.
Vatanasapt, Vanchai, et al.. (1995). Cancer incidence in Thailand, 1988-1991.. PubMed. 4(5). 475–83. 107 indexed citations
10.
Ferlay, J. (1992). Cancer Incidence in Five Continents. Processing of data.. PubMed. 39–44. 2 indexed citations
11.
Whelan, Sarah & J Ferlay. (1992). Cancer Incidence in Five Continents. Age-specific and standardized incidence rates.. PubMed. 178–861. 45 indexed citations

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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