A. Doussau
Impact in
- Geriatrics and Gerontology top 5%
- Frailty in Older Adults
- Statistics and Probability top 5%
- Statistical Methods in Clinical Trials
Papers in
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- Statistical Methods in Clinical Trials 7
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- Nutrition and Health in Aging 3
- Co-authors
- Xavier Paolettí (7 shared papers)Rodolphe Thiébaut (5 shared papers)Christine Germain (3 shared papers)Pierre Soubeyran (3 shared papers)C. Blanc-Bisson (3 shared papers)Birgit Geoerger (3 shared papers)J. Durrieu (4 shared papers)Simone Mathoulin‐Pélissier (5 shared papers)
- Journals
- Clinical Trials (3 papers)Statistics in Medicine (2 papers)PLoS ONE (2 papers)Annals of Oncology (2 papers)Contemporary Clinical Trials (2 papers)
- Partner nations
- FranceUnited StatesBelgium
In The Last Decade
A. Doussau
26 papers receiving 488 citations
Peers
Comparison fields: 5 of 65
- Geriatrics and Gerontology 44
- Statistics and Probability 67
- Applied Microbiology and Biotechnology 14
- Molecular Medicine 24
- Physiology 110
Countries citing papers authored by A. Doussau
This map shows the geographic impact of A. Doussau'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 A. Doussau with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites A. Doussau more than expected).
Fields of papers citing papers by A. Doussau
This network shows the impact of papers produced by A. Doussau. 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 A. Doussau. The network helps show where A. Doussau may publish in the future.
Co-authors
The 25 scholars most cited alongside A. Doussau, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 100 | |
| 2 | 2007 | 51 | |
| 3 | 2016 | 47 | |
| 4 | 2012 | 41 | |
| 5 | 2011 | 35 | |
| 6 | 2015 | 34 | |
| 7 | 2016 | 26 | |
| 8 | 2013 | 24 | |
| 9 | 2012 | 19 | |
| 10 | 2013 | 17 | |
| 11 | 2016 | 14 | |
| 12 | 2011 | 14 | |
| 13 | 2015 | 11 | |
| 14 | 2014 | 10 | |
| 15 | 2014 | 9 | |
| 16 | 2014 | 8 | |
| 17 | 2015 | 7 | |
| 18 | 2019 | 5 | |
| 19 | 2019 | 5 | |
| 20 | 2014 | 4 |
About A. Doussau
A. Doussau is a scholar working on Statistics and Probability, Physiology, Surgery, Oncology and Management Science and Operations Research, having authored 26 papers that have together received 493 indexed citations. Recurring topics across this work include Statistical Methods in Clinical Trials (7 papers), Nutrition and Health in Aging (3 papers), Health Systems, Economic Evaluations, Quality of Life (2 papers), Colorectal and Anal Carcinomas (2 papers), Optimal Experimental Design Methods (2 papers), Pharmaceutical studies and practices (1 paper), Vaccine Coverage and Hesitancy (1 paper) and Cancer Genomics and Diagnostics (1 paper). The work is most often cited by research in Geriatrics and Gerontology (44 citations), Statistics and Probability (67 citations), Applied Microbiology and Biotechnology (14 citations), Molecular Medicine (24 citations) and Physiology (110 citations). A. Doussau has collaborated with scholars based in France, United States and Belgium. Frequent co-authors include Xavier Paolettí, Rodolphe Thiébaut, Christine Germain, Pierre Soubeyran, C. Blanc-Bisson, Birgit Geoerger, J. Durrieu, Simone Mathoulin‐Pélissier, Geneviève Chêne and Christine Grady. Their work appears in journals such as Clinical Trials, Statistics in Medicine, PLoS ONE, Annals of Oncology and Contemporary Clinical Trials.
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.