Michael P. McDermott

5.8k total citations
41 papers, 816 citations indexed

About

Michael P. McDermott is a scholar working on Statistics and Probability, Cognitive Neuroscience and Management Science and Operations Research. According to data from OpenAlex, Michael P. McDermott has authored 41 papers receiving a total of 816 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Statistics and Probability, 11 papers in Cognitive Neuroscience and 8 papers in Management Science and Operations Research. Recurrent topics in Michael P. McDermott's work include Statistical Methods in Clinical Trials (11 papers), Pain Management and Placebo Effect (11 papers) and Optimal Experimental Design Methods (7 papers). Michael P. McDermott is often cited by papers focused on Statistical Methods in Clinical Trials (11 papers), Pain Management and Placebo Effect (11 papers) and Optimal Experimental Design Methods (7 papers). Michael P. McDermott collaborates with scholars based in United States, United Kingdom and Canada. Michael P. McDermott's co-authors include Robert H. Dworkin, Govind S. Mudholkar, R.P. Natzke, H. N. Erb, Dennis C. Turk, Robert C. Griggs, Warren Olanow, Christopher G. Goetz, Joanne Wuu and Yining Wang and has published in prestigious journals such as Journal of the American Statistical Association, Neurology and Annals of Neurology.

In The Last Decade

Michael P. McDermott

37 papers receiving 790 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael P. McDermott United States 17 172 161 149 120 106 41 816
Jill L. King United States 15 97 0.6× 44 0.3× 20 0.1× 19 0.2× 86 0.8× 54 646
Secundino Fernández Spain 18 172 1.0× 27 0.2× 51 0.3× 5 0.0× 20 0.2× 90 1.2k
Jörn Schulz Norway 15 216 1.3× 160 1.0× 92 0.6× 7 0.1× 11 0.1× 32 1.0k
Lujin Li China 12 91 0.5× 21 0.1× 49 0.3× 21 0.2× 9 0.1× 65 531
Ali Shoeibi Iran 17 60 0.3× 185 1.1× 40 0.3× 2 0.0× 78 0.7× 61 666
So‐Young Jung South Korea 20 179 1.0× 94 0.6× 106 0.7× 9 0.1× 69 0.7× 78 1.6k
Sarah McCann United Kingdom 20 189 1.1× 161 1.0× 48 0.3× 8 0.1× 167 1.6× 35 1.1k
Nancy Hall United States 18 126 0.7× 17 0.1× 175 1.2× 100 0.8× 104 1.0× 54 783
M. Muscettola Italy 17 184 1.1× 8 0.0× 32 0.2× 15 0.1× 19 0.2× 45 672
Vincenzo Guardabasso Italy 19 256 1.5× 10 0.1× 9 0.1× 10 0.1× 150 1.4× 44 1.1k

Countries citing papers authored by Michael P. McDermott

Since Specialization
Citations

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

Fields of papers citing papers by Michael P. McDermott

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael P. McDermott. 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 Michael P. McDermott. The network helps show where Michael P. McDermott may publish in the future.

Co-authorship network of co-authors of Michael P. McDermott

This figure shows the co-authorship network connecting the top 25 collaborators of Michael P. McDermott. A scholar is included among the top collaborators of Michael P. McDermott 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 Michael P. McDermott. Michael P. McDermott 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.
Schneider, Ruth B., et al.. (2025). Constructing a Personalized Treatment Rule for Initial Therapy in Early Parkinson's Disease. Pharmacotherapy The Journal of Human Pharmacology and Drug Therapy. 46(1). e70069–e70069.
2.
McDermott, Michael P., Jacqueline Montes, Allan M. Glanzman, et al.. (2025). Spinal Muscular Atrophy Functional Composite Score Revised (SMA-FCR) in Untreated and Nusinersen-Treated Patient Cohorts. Neurology. 105(2). e213839–e213839.
3.
Morrow, Jasper M., Michael P. McDermott, John S. Thornton, et al.. (2025). Quantitative muscle magnetic resonance imaging as a biomarker for inclusion body myositis in clinical trials: exploring the in vivo effects of arimoclomol. Clinical and Experimental Rheumatology. 43(2). 334–344. 1 indexed citations
4.
Benatar, Michael, Xueya Cai, Michael P. McDermott, et al.. (2025). Proposed Research Criteria for Mild Motor Impairment as a Prodromal Syndrome in Amyotrophic Lateral Sclerosis. Neurology. 105(4). e213917–e213917. 1 indexed citations
5.
McDermott, Michael P., Keith R. Abrams, Anna Mayhew, et al.. (2024). Factors Associated With Early Motor Function Trajectories in DMD After Glucocorticoid Initiation. Neurology. 102(10). e209206–e209206. 4 indexed citations
6.
Saab, Karim R., Brian L. Burnette, Gary R. Morrow, et al.. (2024). Personalized outcomes in neuropathic pain: a clinical relevance and assay sensitivity analysis from a randomized controlled trial. Pain Medicine. 26(1). 22–29. 1 indexed citations
7.
Langford, Dale J., Sonia Sharma, Michael P. McDermott, et al.. (2023). Covariate Adjustment in Chronic Pain Trials: An Oft-Missed Opportunity. Journal of Pain. 24(9). 1555–1569. 3 indexed citations
8.
Mestre, Tiago, et al.. (2023). The Lessebo Effect in Disease Modification Trials in Parkinson's Disease. Movement Disorders. 38(7). 1346–1350.
9.
Langford, Dale J., Dagmar Amtmann, Luana Colloca, et al.. (2022). Expectations for Improvement: A Neglected but Potentially Important Covariate or Moderator for Chronic Pain Clinical Trials. Journal of Pain. 24(4). 575–581. 7 indexed citations
10.
Smith, Shannon M., Mark P. Jensen, Hua He, et al.. (2018). A Comparison of the Assay Sensitivity of Average and Worst Pain Intensity in Pharmacologic Trials: An ACTTION Systematic Review and Meta-Analysis. Journal of Pain. 19(9). 953–960. 15 indexed citations
11.
Chowdhry, Amit K., Robert H. Dworkin, & Michael P. McDermott. (2016). Meta‐analysis with missing study‐level sample variance data. Statistics in Medicine. 35(17). 3021–3032. 24 indexed citations
12.
Dworkin, Robert H., Michael P. McDermott, John T. Farrar, Alec O'connor, & Stephen Senn. (2013). Interpreting patient treatment response in analgesic clinical trials: Implications for genotyping, phenotyping, and personalized pain treatment. Pain. 155(3). 457–460. 26 indexed citations
13.
Lowes, Linda, Lindsay N. Alfano, Laurence Viollet, et al.. (2011). Knee extensor strength exhibits potential to predict function in sporadic inclusion‐body myositis. Muscle & Nerve. 45(2). 163–168. 27 indexed citations
14.
Goetz, Christopher G., Joanne Wuu, Michael P. McDermott, et al.. (2008). Placebo response in Parkinson's disease: Comparisons among 11 trials covering medical and surgical interventions. Movement Disorders. 23(5). 690–699. 181 indexed citations
15.
Chen, Huiyuan, Richard C. Reichman, Michael C. Keefer, Michael P. McDermott, & Xia Jin. (2004). Establishment of an alternative intracellular cytokine staining assay for HIV/AIDS clinical studies. Journal of Virological Methods. 123(2). 131–140. 4 indexed citations
16.
Schiffer, Randolph B., et al.. (2001). A Multiple Sclerosis Cluster Associated with a Small, North-Central Illinois Community. Archives of Environmental Health An International Journal. 56(5). 389–395. 20 indexed citations
17.
Wang, Yining & Michael P. McDermott. (2001). Uniformly more powerful tests for hypotheses about linear inequalities when the variance is unknown. Proceedings of the American Mathematical Society. 129(10). 3091–3100.
18.
Wang, Yining & Michael P. McDermott. (1998). A Conditional Test for a Non-negative Mean Vector Based on a Hotelling'sT2-Type Statistic. Journal of Multivariate Analysis. 66(1). 64–70. 8 indexed citations
19.
McDermott, Michael P. & Govind S. Mudholkar. (1993). A Simple Approach to Testing Homogeneity of Order-Constrained Means. Journal of the American Statistical Association. 88(424). 1371–1379. 22 indexed citations
20.
Mudholkar, Govind S., et al.. (1993). Testing homogeneity of ordered variances. Metrika. 40(1). 271–281. 9 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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