Maud Pacou
Impact in
- Dermatology top 5%
- Acne and Rosacea Treatments and Effects
- Parasitology top 10%
- Vector-borne infectious diseases
Papers in
-
- Statistical Methods in Clinical Trials 6
- Co-authors
- Martin M. Brown (2 shared papers)Judith Breuer (2 shared papers)Aline Gauthier (2 shared papers)L. Mesana (10 shared papers)A. Gautier (1 shared paper)Mario Castro (1 shared paper)Thomas B. Casale (1 shared paper)Shawn X. Sun (1 shared paper)
- Journals
- Value in Health (14 papers)Neurology (2 papers)Clinical Rheumatology (2 papers)European Journal of Dermatology (1 paper)Patient Preference and Adherence (1 paper)
- Partner nations
- United KingdomUnited StatesBelgium
In The Last Decade
Maud Pacou
27 papers receiving 294 citations
Peers
Comparison fields: 5 of 69
- Dermatology 76
- Parasitology 52
- Epidemiology 159
- Rheumatology 58
- Immunology and Allergy 18
Countries citing papers authored by Maud Pacou
This map shows the geographic impact of Maud Pacou'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 Maud Pacou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maud Pacou more than expected).
Fields of papers citing papers by Maud Pacou
This network shows the impact of papers produced by Maud Pacou. 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 Maud Pacou. The network helps show where Maud Pacou may publish in the future.
Co-authors
The 25 scholars most cited alongside Maud Pacou, 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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 100 | |
| 2 | 2018 | 41 | |
| 3 | 2014 | 36 | |
| 4 | 2020 | 24 | |
| 5 | 2021 | 18 | |
| 6 | 2021 | 17 | |
| 7 | 2013 | 8 | |
| 8 | 2015 | 7 | |
| 9 | 2016 | 7 | |
| 10 | 2015 | 7 | |
| 11 | 2016 | 7 | |
| 12 | 2017 | 5 | |
| 13 | 2013 | 4 | |
| 14 | 2015 | 4 | |
| 15 | 2015 | 4 | |
| 16 | 2015 | 3 | |
| 17 | 2011 | 2 | |
| 18 | 2020 | 2 | |
| 19 | 2015 | 2 | |
| 20 | 2015 | 2 |
About Maud Pacou
Maud Pacou is a scholar working on Epidemiology, Statistics and Probability, Endocrinology, Diabetes and Metabolism, Statistics, Probability and Uncertainty and Genetics, having authored 27 papers that have together received 307 indexed citations. Recurring topics across this work include Statistical Methods in Clinical Trials (6 papers), Diabetes Treatment and Management (5 papers), Meta-analysis and systematic reviews (5 papers), Inflammatory Bowel Disease (4 papers), Diabetes Management and Research (3 papers), Health Systems, Economic Evaluations, Quality of Life (3 papers), Acne and Rosacea Treatments and Effects (2 papers) and Chronic Lymphocytic Leukemia Research (2 papers). The work is most often cited by research in Dermatology (76 citations), Parasitology (52 citations), Epidemiology (159 citations), Rheumatology (58 citations) and Immunology and Allergy (18 citations). Maud Pacou has collaborated with scholars based in United Kingdom, United States and Belgium. Frequent co-authors include Martin M. Brown, Judith Breuer, Aline Gauthier, L. Mesana, A. Gautier, Mario Castro, Thomas B. Casale, Shawn X. Sun, V. Taieb and Suzy Van Sanden. Their work appears in journals such as Value in Health, Neurology, Clinical Rheumatology, European Journal of Dermatology and Patient Preference and Adherence.
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.