DR Mould

1.9k total citations · 2 hit papers
7 papers, 1.5k citations indexed

About

DR Mould is a scholar working on Statistics and Probability, Pharmacology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, DR Mould has authored 7 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Statistics and Probability, 4 papers in Pharmacology and 2 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in DR Mould's work include Statistical Methods in Clinical Trials (6 papers), Pharmacogenetics and Drug Metabolism (4 papers) and Monoclonal and Polyclonal Antibodies Research (2 papers). DR Mould is often cited by papers focused on Statistical Methods in Clinical Trials (6 papers), Pharmacogenetics and Drug Metabolism (4 papers) and Monoclonal and Polyclonal Antibodies Research (2 papers). DR Mould collaborates with scholars based in United States, Australia and Spain. DR Mould's co-authors include Richard N. Upton, Geert D’Haens, Antje‐Christine Walz, Boy Frame, Thierry Lavé, René Bruno, Nitin Mehrotra, Iñaki F. Trocóniz, Jogarao Gobburu and Karthik Venkatakrishnan and has published in prestigious journals such as Clinical Pharmacology & Therapeutics and CPT Pharmacometrics & Systems Pharmacology.

In The Last Decade

DR Mould

7 papers receiving 1.4k citations

Hit Papers

Basic Concepts in Population Modeling, Simulation, and Mo... 2012 2026 2016 2021 2013 2012 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
DR Mould United States 7 287 240 225 225 202 7 1.5k
MO Karlsson Sweden 17 242 0.8× 203 0.8× 240 1.1× 148 0.7× 192 1.0× 29 1.2k
Nidal Al‐Huniti United States 21 226 0.8× 226 0.9× 280 1.2× 103 0.5× 166 0.8× 72 1.4k
Kayode Ogungbenro United Kingdom 24 280 1.0× 271 1.1× 363 1.6× 306 1.4× 360 1.8× 93 1.7k
Thomas Kerbusch Netherlands 22 239 0.8× 411 1.7× 347 1.5× 165 0.7× 239 1.2× 47 1.9k
Dong‐Seok Yim South Korea 21 262 0.9× 322 1.3× 213 0.9× 78 0.3× 134 0.7× 112 1.3k
Rajanikanth Madabushi United States 19 177 0.6× 443 1.8× 285 1.3× 277 1.2× 244 1.2× 58 1.8k
Jakob Ribbing Sweden 10 174 0.6× 126 0.5× 163 0.7× 149 0.7× 141 0.7× 21 1.0k
Nitin Mehrotra United States 22 166 0.6× 360 1.5× 395 1.8× 122 0.5× 176 0.9× 59 1.8k
Flora T. Musuamba Belgium 22 292 1.0× 232 1.0× 192 0.9× 90 0.4× 295 1.5× 48 1.8k
Marc R. Gastonguay United States 21 266 0.9× 188 0.8× 91 0.4× 136 0.6× 287 1.4× 78 1.6k

Countries citing papers authored by DR Mould

Since Specialization
Citations

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

Fields of papers citing papers by DR Mould

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of DR Mould

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

All Works

7 of 7 papers shown
1.
Mould, DR, Geert D’Haens, & Richard N. Upton. (2016). Clinical Decision Support Tools: The Evolution of a Revolution. Clinical Pharmacology & Therapeutics. 99(4). 405–418. 63 indexed citations
2.
Mould, DR, et al.. (2015). Developing Exposure/Response Models for Anticancer Drug Treatment: Special Considerations. CPT Pharmacometrics & Systems Pharmacology. 4(1). 12–27. 70 indexed citations
3.
Mould, DR. (2015). Why therapeutic drug monitoring is needed for monoclonal antibodies and how do we implement this?. Clinical Pharmacology & Therapeutics. 99(4). 351–354. 25 indexed citations
4.
Venkatakrishnan, Karthik, Lena E. Friberg, Danièle Ouellet, et al.. (2014). Optimizing Oncology Therapeutics Through Quantitative Translational and Clinical Pharmacology: Challenges and Opportunities. Clinical Pharmacology & Therapeutics. 97(1). 37–54. 77 indexed citations
5.
Upton, Richard N. & DR Mould. (2014). Basic Concepts in Population Modeling, Simulation, and Model‐Based Drug Development: Part 3—Introduction to Pharmacodynamic Modeling Methods. CPT Pharmacometrics & Systems Pharmacology. 3(1). 1–16. 195 indexed citations
6.
Mould, DR & Richard N. Upton. (2013). Basic Concepts in Population Modeling, Simulation, and Model‐Based Drug Development—Part 2: Introduction to Pharmacokinetic Modeling Methods. CPT Pharmacometrics & Systems Pharmacology. 2(4). 1–14. 673 indexed citations breakdown →
7.
Mould, DR & Richard N. Upton. (2012). Basic Concepts in Population Modeling, Simulation, and Model‐Based Drug Development. CPT Pharmacometrics & Systems Pharmacology. 1(9). 1–14. 358 indexed citations breakdown →

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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