Michael T. Ropacki

786 total citations
27 papers, 537 citations indexed

About

Michael T. Ropacki is a scholar working on Psychiatry and Mental health, General Health Professions and Epidemiology. According to data from OpenAlex, Michael T. Ropacki has authored 27 papers receiving a total of 537 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Psychiatry and Mental health, 4 papers in General Health Professions and 4 papers in Epidemiology. Recurrent topics in Michael T. Ropacki's work include Dementia and Cognitive Impairment Research (12 papers), Alzheimer's disease research and treatments (4 papers) and Health Systems, Economic Evaluations, Quality of Life (4 papers). Michael T. Ropacki is often cited by papers focused on Dementia and Cognitive Impairment Research (12 papers), Alzheimer's disease research and treatments (4 papers) and Health Systems, Economic Evaluations, Quality of Life (4 papers). Michael T. Ropacki collaborates with scholars based in United States, United Kingdom and Belgium. Michael T. Ropacki's co-authors include Christopher Randolph, Karen Ritchie, Craig Ritchie, John Harrison, Jeffrey Kaye, Bruce Albala, Joel H. Kramer, Jessica A. Ash, Marion Mortamais and Joseph R. Ferrari and has published in prestigious journals such as Journal of Alzheimer s Disease, Journal of Thoracic Oncology and Alzheimer s & Dementia.

In The Last Decade

Michael T. Ropacki

25 papers receiving 526 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 T. Ropacki United States 10 390 133 109 101 46 27 537
Francisco Assis Carvalho Vale Brazil 18 419 1.1× 151 1.1× 65 0.6× 141 1.4× 43 0.9× 56 813
F. Latour France 12 318 0.8× 159 1.2× 124 1.1× 61 0.6× 84 1.8× 28 577
Sherral Devine United States 17 378 1.0× 185 1.4× 119 1.1× 49 0.5× 18 0.4× 43 732
Seok Woo Moon South Korea 16 276 0.7× 111 0.8× 93 0.9× 92 0.9× 27 0.6× 57 718
Denise Feil United States 11 280 0.7× 111 0.8× 103 0.9× 73 0.7× 21 0.5× 13 603
Tom Borza Norway 14 256 0.7× 121 0.9× 108 1.0× 92 0.9× 26 0.6× 26 574
Chih‐Ta Tai Taiwan 14 389 1.0× 174 1.3× 141 1.3× 71 0.7× 31 0.7× 26 790
Tan Zhao China 7 276 0.7× 183 1.4× 60 0.6× 69 0.7× 31 0.7× 11 663
Julien Delrieu France 14 298 0.8× 246 1.8× 81 0.7× 31 0.3× 58 1.3× 45 533
Martin Burkart Germany 18 302 0.8× 138 1.0× 79 0.7× 67 0.7× 59 1.3× 48 860

Countries citing papers authored by Michael T. Ropacki

Since Specialization
Citations

This map shows the geographic impact of Michael T. Ropacki'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 T. Ropacki with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael T. Ropacki more than expected).

Fields of papers citing papers by Michael T. Ropacki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael T. Ropacki

This figure shows the co-authorship network connecting the top 25 collaborators of Michael T. Ropacki. A scholar is included among the top collaborators of Michael T. Ropacki 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 T. Ropacki. Michael T. Ropacki 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.
Ferrer, Marc, Vanesa Richarte, Laura Gisbert, et al.. (2025). REIMAGINE: A central nervous system basket trial showing safety and efficacy of vafidemstat on aggression in different psychiatric disorders. Psychiatry and Clinical Neurosciences. 79(5). 257–265. 1 indexed citations
2.
Ropacki, Michael T., Ronald Brenner, Michael R. Liebowitz, et al.. (2024). Topline Results: a double-blind, randomized placebo-controlled, adaptive phase IIb trial to assess vafidemstat’s efficacy in treating borderline personality disorder. Neuroscience Applied. 3. 105120–105120. 1 indexed citations
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Ropacki, Michael T., et al.. (2019). P2.12-04 CLEPSIDRA: A Phase II Trial Combining Iadademstat with Platinum-Etoposide in Platinum-Sensitive Relapsed SCLC Patients. Journal of Thoracic Oncology. 14(10). S813–S813. 2 indexed citations
6.
Udeh‐Momoh, Chinedu, Geraint Price, Michael T. Ropacki, et al.. (2019). Prospective Evaluation of Cognitive Health and Related Factors in Elderly at Risk for Developing Alzheimer's Dementia: A Longitudinal Cohort Study. The Journal of Prevention of Alzheimer s Disease. 6(4). 256–266. 7 indexed citations
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Ropacki, Michael T., Kristín Hannesdóttir, Suzanne Hendrix, et al.. (2017). Clinically Meaningful Outcomes in Early Alzheimer Disease: A Consortia-Driven Approach to Identifying What Matters to Patients. Therapeutic Innovation & Regulatory Science. 51(3). 380–390. 6 indexed citations
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Mortamais, Marion, Jessica A. Ash, John Harrison, et al.. (2016). Detecting cognitive changes in preclinical Alzheimer's disease: A review of its feasibility. Alzheimer s & Dementia. 13(4). 468–492. 145 indexed citations
11.
Ritchie, Karen, Michael T. Ropacki, Bruce Albala, et al.. (2016). Recommended cognitive outcomes in preclinical Alzheimer's disease: Consensus statement from the European Prevention of Alzheimer's Dementia project. Alzheimer s & Dementia. 13(2). 186–195. 69 indexed citations
12.
Burnham, Samantha C., Nandini Raghavan, W.J. Wilson, et al.. (2015). Novel Statistically-Derived Composite Measures for Assessing the Efficacy of Disease-Modifying Therapies in Prodromal Alzheimer’s Disease Trials: An AIBL Study. Journal of Alzheimer s Disease. 46(4). 1079–1089. 26 indexed citations
13.
Ropacki, Michael T., Michael Arrighi, Lefkos Middleton, & Robert Perneczky. (2015). P1‐320: Cognitive health in ageing register: Investigational, observational, and trial studies in dementia research (CHARIOT)—prospective readiness cohort study (PRO). Alzheimer s & Dementia. 11(7S_Part_10). 2 indexed citations
14.
Burnham, Samantha C., Nandini Raghavan, Bill Wilson, et al.. (2014). P4‐293: COMPARISON OF THREE NORMATIVE DATA CORRECTION APPROACHES: A CROSS‐SECTIONAL EVALUATION IN THE AIBL STUDY. Alzheimer s & Dementia. 10(4S_Part_15). 4 indexed citations
15.
Strutt, Adriana M., et al.. (2012). The NAB shape learning subtest as a predictor of lateralized seizure onset. Epilepsy & Behavior. 24(1). 59–64. 3 indexed citations
16.
Iverson, Grant L., David J. Williamson, Michael T. Ropacki, & Kevin J. Reilly. (2007). Frequency of Abnormal Scores on the Neuropsychological Assessment Battery Screening Module (S-NAB) in a Mixed Neurological Sample. Applied Neuropsychology. 14(3). 178–182. 9 indexed citations
17.
Ropacki, Susan, Arthur A. Bert, Michael T. Ropacki, M. Brooke Rogers, & Robert A. Stern. (2006). The influence of cognitive reserve on neuropsychological functioning following coronary artery bypass grafting (CABG)☆. Archives of Clinical Neuropsychology. 22(1). 73–85. 14 indexed citations
18.
Ropacki, Michael T.. (1999). Further validation of the Oklahoma premorbid intelligence estimate with closed head injury and mixed neurologic patients. Archives of Clinical Neuropsychology. 14(8). 788–788. 1 indexed citations
19.
Jason, Leonard A., Michael T. Ropacki, Judith A. Richman, et al.. (1997). A Screening Instrument for Chronic Fatigue Syndrome. Journal of Chronic Fatigue Syndrome. 3(1). 39–59. 94 indexed citations
20.
Jason, Leonard A., et al.. (1995). Chronic fatigue syndrome: A new challenge for health care professionals. Journal of Community Psychology. 23(2). 143–164. 30 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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