Aurélien Belot
Impact in
- Oncology top 2%
- Global Cancer Incidence and Screening
- Colorectal Cancer Screening and Detection
- Statistics and Probability top 1%
- Statistical Methods and Inference
Papers in
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- Statistical Methods and Inference 20
- Statistical Methods and Bayesian Inference 12
- Oncology 64
- Global Cancer Incidence and Screening 40
- Colorectal Cancer Screening and Detection 32
- Cancer Risks and Factors 10
- Co-authors
- Nadine BossardLaurent RemontetBernard RachetCamille MaringePatricia DelafosseMiguel Ángel Luque-FernándezAimilia ExarchakouAnne‐Marie Bouvier
- Journals
- Cancer Epidemiology (10 papers)Statistics in Medicine (10 papers)International Journal of Cancer (7 papers)British Journal of Cancer (4 papers)Statistical Methods in Medical Research (3 papers)
- Partner nations
- FranceUnited KingdomUnited States
In The Last Decade
Aurélien Belot
99 papers receiving 3.0k citations
Peers
Comparison fields: 5 of 141
- Oncology 1.4k
- Statistics and Probability 304
- Otorhinolaryngology 140
- Pathology and Forensic Medicine 483
- Cancer Research 330
Countries citing papers authored by Aurélien Belot
This map shows the geographic impact of Aurélien Belot'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 Aurélien Belot with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aurélien Belot more than expected).
Fields of papers citing papers by Aurélien Belot
This network shows the impact of papers produced by Aurélien Belot. 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 Aurélien Belot. The network helps show where Aurélien Belot may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Aurélien Belot, 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 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 4 | |
| 4 | 2024 | 0 | |
| 5 | 2023 | 1 | |
| 6 | 2023 | 1 | |
| 7 | 2023 | 2 | |
| 8 | 2022 | 8 | |
| 9 | 2022 | 22 | |
| 10 | 2022 | 31 | |
| 11 | mexhaz: Mixed Effect Excess Hazard Models | 2021 | 1 |
| 12 | 2021 | 2 | |
| 13 | 2020 | 31 | |
| 14 | 2018 | 81 | |
| 15 | 2017 | 28 | |
| 16 | 2015 | 82 | |
| 17 | 2015 | 29 | |
| 18 | 2014 | 162 | |
| 19 | 2013 | 25 | |
| 20 | 2008 | 10 |
About Aurélien Belot
Aurélien Belot is a scholar working on Statistics and Probability, Oncology, Otorhinolaryngology, Pathology and Forensic Medicine and Economics and Econometrics, having authored 107 papers that have together received 3.0k indexed citations. Recurring topics across this work include Global Cancer Incidence and Screening (40 papers), Colorectal Cancer Screening and Detection (32 papers), Statistical Methods and Inference (20 papers), Health Systems, Economic Evaluations, Quality of Life (16 papers), Lymphoma Diagnosis and Treatment (13 papers), Statistical Methods and Bayesian Inference (12 papers), Multiple and Secondary Primary Cancers (12 papers) and Cancer Risks and Factors (10 papers). The work is most often cited by research in Oncology (1.4k citations), Statistics and Probability (304 citations), Otorhinolaryngology (140 citations), Pathology and Forensic Medicine (483 citations) and Cancer Research (330 citations). Aurélien Belot has collaborated with scholars based in France, United Kingdom and United States. Frequent co-authors include Nadine Bossard, Laurent Remontet, Bernard Rachet, Camille Maringe, Patricia Delafosse, Miguel Ángel Luque-Fernández, Aimilia Exarchakou, Anne‐Marie Bouvier, Jean Iwaz and Guy Launoy. Their work appears in journals such as Cancer Epidemiology, Statistics in Medicine, International Journal of Cancer, British Journal of Cancer and Statistical Methods in Medical Research.
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.