Maud Pacou

420 total citations
27 papers, 307 citations indexed

About

Maud Pacou is a scholar working on Epidemiology, Statistics and Probability and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Maud Pacou has authored 27 papers receiving a total of 307 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Epidemiology, 6 papers in Statistics and Probability and 5 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Maud Pacou's work include Statistical Methods in Clinical Trials (6 papers), Meta-analysis and systematic reviews (5 papers) and Diabetes Treatment and Management (5 papers). Maud Pacou is often cited by papers focused on Statistical Methods in Clinical Trials (6 papers), Meta-analysis and systematic reviews (5 papers) and Diabetes Treatment and Management (5 papers). Maud Pacou collaborates with scholars based in United Kingdom, United States and Belgium. Maud Pacou's co-authors include Judith Breuer, Martin M. Brown, Aline Gauthier, L. Mesana, A. Gautier, Mario Castro, Shawn X. Sun, Thomas B. Casale, V. Taieb and Suzy Van Sanden and has published in prestigious journals such as Neurology, The American Journal of Gastroenterology and Value in Health.

In The Last Decade

Maud Pacou

27 papers receiving 294 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Maud Pacou United Kingdom 8 159 76 58 52 44 27 307
Aileen Uchida United States 8 138 0.9× 59 0.8× 86 1.5× 37 0.7× 19 0.4× 11 553
Aleli C. Vinoya United States 8 125 0.8× 59 0.8× 83 1.4× 37 0.7× 18 0.4× 10 509
Pavel Dyachenko Ukraine 7 170 1.1× 82 1.1× 26 0.4× 8 0.2× 25 0.6× 19 315
Juan M. Cubillos-Angulo Brazil 12 103 0.6× 28 0.4× 56 1.0× 7 0.1× 69 1.6× 25 306
Erhan Berber United States 5 73 0.5× 23 0.3× 62 1.1× 13 0.3× 92 2.1× 10 309
Andrea Cortese Italy 9 59 0.4× 92 1.2× 20 0.3× 8 0.2× 121 2.8× 24 324
Nasrin Behniafard Iran 11 38 0.2× 88 1.2× 33 0.6× 5 0.1× 149 3.4× 41 334
Agastya D. Belur United States 7 45 0.3× 47 0.6× 60 1.0× 4 0.1× 165 3.8× 16 323
Prasad Rao Koduri United States 14 62 0.4× 92 1.2× 28 0.5× 4 0.1× 85 1.9× 27 491
Saskia Gruber Austria 12 53 0.3× 44 0.6× 17 0.3× 7 0.1× 73 1.7× 37 352

Countries citing papers authored by Maud Pacou

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Maud Pacou

This figure shows the co-authorship network connecting the top 25 collaborators of Maud Pacou. A scholar is included among the top collaborators of Maud Pacou 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 Maud Pacou. Maud Pacou is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Zhang, Weibo, Maud Pacou, Yi Zhu, et al.. (2023). Factors Influencing Patient and Caregiver Preferences for Antipsychotic Treatment of Schizophrenia in China: A Discrete Choice Experiment. Patient Preference and Adherence. Volume 17. 1421–1430. 1 indexed citations
2.
Merola, Joseph F., Soumya D. Chakravarty, L. Mesana, et al.. (2021). Healthcare utilization and costs among patients with psoriasis and psoriatic arthritis in the USA–a retrospective study of claims data from 2009 to 2020. Clinical Rheumatology. 40(10). 4061–4070. 18 indexed citations
3.
Orbai, Ana‐Maria, Soumya M. Reddy, Steven L. Peterson, et al.. (2021). Work absenteeism and disability associated with psoriasis and psoriatic arthritis in the USA—a retrospective study of claims data from 2009 TO 2020. Clinical Rheumatology. 40(12). 4933–4942. 17 indexed citations
4.
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Peterson, Steven L., et al.. (2020). PMU15 RETROSPECTIVE STUDY EXAMINING HEALTH CARE UTILIZATION AND COSTS FOR PATIENTS WITH PSORIASIS AND PSORIATIC ARTHRITIS IN THE US. Value in Health. 23. S235–S235. 2 indexed citations
6.
Casale, Thomas B., et al.. (2018). Reslizumab Compared with Benralizumab in Patients with Eosinophilic Asthma: A Systematic Literature Review and Network Meta-Analysis. The Journal of Allergy and Clinical Immunology In Practice. 7(1). 122–130.e1. 41 indexed citations
7.
Pacou, Maud, L. Mesana, A. Gauthier, et al.. (2017). PTH-094 Indirect treatment comparison of ustekinumab versus other biologics in moderate to severe crohn’s disease: a 1-year treatment sequence analysis. HighWire Press Open Archive. A253.1–A253. 1 indexed citations
8.
Pacou, Maud, et al.. (2017). Fractional Polynomial NMA Models For Survival Analyses: Results From A Simulation Study. Value in Health. 20(9). A770–A771. 1 indexed citations
9.
Belhadi, Drifa, Maud Pacou, A. Gauthier, V. Taieb, & L. Mesana. (2016). Checklist To Assess The Feasibility Of A Network Meta-Analysis. Value in Health. 19(3). A100–A100. 1 indexed citations
10.
Pacou, Maud, L. Mesana, A. Gauthier, et al.. (2016). Indirect Treatment Comparison of Ustekinumab Versus Other Biologics In Moderate To Severe Crohn’s Disease: A 1-Year Treatment Sequence Analysis. Value in Health. 19(7). A576–A576. 7 indexed citations
11.
Calzavara‐Pinton, Piergiacomo, Cristina Zane, Maud Pacou, & Rolf‐Markus Szeimies. (2016). Bucher's indirect comparison of daylight photodynamic therapy with methyl aminolevulinate cream versus diclofenac plus hyaluronic acid gel for the treatment of multiple actinic keratosis. European Journal of Dermatology. 26(5). 487–492. 7 indexed citations
12.
13.
Pacou, Maud, et al.. (2015). Patient and physician preferences for the treatment of chronic hepatitis C virus infections. European Journal of Gastroenterology & Hepatology. 27(9). 1063–1068. 7 indexed citations
14.
Taieb, V., Drifa Belhadi, A. Gauthier, & Maud Pacou. (2015). Multivariate Network Meta-Analysis: An Example In Type 2 Diabetes For The Analysis Of Glycaemic Control. Value in Health. 18(7). A687–A687. 2 indexed citations
15.
Taieb, V., Maud Pacou, Ségolène Pettré, et al.. (2015). A network meta-analysis to compare simeprevir with boceprevir and telaprevir in combination with peginterferon-αand ribavirin in patients infected with genotype 1 Hepatitis C virus. Journal of Medical Economics. 18(10). 787–796. 4 indexed citations
16.
Pacou, Maud, V. Taieb, Drifa Belhadi, L. Mesana, & A. Gauthier. (2015). Interpreting Results from Bayesian Network Meta-Analyses (Nma): A Guide for Non-Statisticians. Value in Health. 18(7). A718–A719. 3 indexed citations
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Pacou, Maud, et al.. (2011). PCN23 Survival Analyses Adjusted for Crossover in Relapsed Multiple Myeloma: Results of the Apex Trial. Value in Health. 14(7). A437–A438. 1 indexed citations
20.
Jiang, Yiling, et al.. (2011). PCN101 A Cost-Effectiveness Analysis for Second-Line Treatment of Relapsed/Refractory (RR) Multiple Myeloma (MM) in the United Kingdom. Value in Health. 14(7). A452–A452. 2 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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