Catharine B. Stack

1.8k total citations · 1 hit paper
15 papers, 1.3k citations indexed

About

Catharine B. Stack is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty and Genetics. According to data from OpenAlex, Catharine B. Stack has authored 15 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Statistics and Probability, 5 papers in Statistics, Probability and Uncertainty and 4 papers in Genetics. Recurrent topics in Catharine B. Stack's work include Statistical Methods in Clinical Trials (6 papers), Meta-analysis and systematic reviews (4 papers) and Health Systems, Economic Evaluations, Quality of Life (4 papers). Catharine B. Stack is often cited by papers focused on Statistical Methods in Clinical Trials (6 papers), Meta-analysis and systematic reviews (4 papers) and Health Systems, Economic Evaluations, Quality of Life (4 papers). Catharine B. Stack collaborates with scholars based in United States. Catharine B. Stack's co-authors include Stephen B. Liggett, Krishnan Nandabalan, Jonathan Stephens, Gualberto Ruaño, Kevin Arnold, Richard Judson, Dennis W. McGraw, Cynthia D. Mulrow, John E. Cornell and Steven N. Goodman and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Annals of Internal Medicine and Genetics in Medicine.

In The Last Decade

Catharine B. Stack

15 papers receiving 1.3k citations

Hit Papers

Complex promoter and coding region β 2 -adrenergic recept... 2000 2026 2008 2017 2000 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
Catharine B. Stack United States 11 406 315 253 153 153 15 1.3k
Ingrid B. Borecki United States 26 530 1.3× 366 1.2× 471 1.9× 298 1.9× 342 2.2× 52 2.0k
Michelle A. Carey United States 25 387 1.0× 629 2.0× 174 0.7× 97 0.6× 545 3.6× 52 2.3k
Marc R. Gastonguay United States 21 188 0.5× 124 0.4× 270 1.1× 107 0.7× 128 0.8× 78 1.6k
Toba Kazemi Iran 22 260 0.6× 288 0.9× 132 0.5× 360 2.4× 77 0.5× 197 1.8k
S Y Tan United States 20 282 0.7× 128 0.4× 68 0.3× 204 1.3× 189 1.2× 79 1.3k
David Curb United States 17 326 0.8× 213 0.7× 344 1.4× 336 2.2× 36 0.2× 26 1.4k
Stefano D’Errico Italy 24 270 0.7× 117 0.4× 64 0.3× 228 1.5× 104 0.7× 121 1.7k
Frederick C. Whittier United States 20 184 0.5× 136 0.4× 147 0.6× 139 0.9× 206 1.3× 51 1.5k
William A. Bartlett United Kingdom 28 266 0.7× 787 2.5× 89 0.4× 164 1.1× 96 0.6× 70 2.2k
Georg Ehret Switzerland 25 723 1.8× 201 0.6× 530 2.1× 595 3.9× 227 1.5× 77 2.5k

Countries citing papers authored by Catharine B. Stack

Since Specialization
Citations

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

Fields of papers citing papers by Catharine B. Stack

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Catharine B. Stack. 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 Catharine B. Stack. The network helps show where Catharine B. Stack may publish in the future.

Co-authorship network of co-authors of Catharine B. Stack

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

All Works

15 of 15 papers shown
1.
Stack, Catharine B., Anne R. Meibohm, Joshua M. Liao, & Eliseo Güallar. (2020). Studies Using Randomized Trial Data to Compare Nonrandomized Exposures. Annals of Internal Medicine. 172(7). 492–494. 1 indexed citations
2.
Liao, Joshua M., Catharine B. Stack, & Steven N. Goodman. (2018). Annals Understanding Clinical Research: Interpreting Results With Large P Values. Annals of Internal Medicine. 169(7). 485–486. 1 indexed citations
3.
Cornell, John E., Joshua M. Liao, Catharine B. Stack, & Cynthia D. Mulrow. (2017). Annals Understanding Clinical Research: Evaluating the Meaning of a Summary Estimate in a Meta-analysis. Annals of Internal Medicine. 167(4). 275–277. 16 indexed citations
4.
Liao, Joshua M. & Catharine B. Stack. (2017). Annals Understanding Clinical Research: Implications of Missing Data Due to Dropout. Annals of Internal Medicine. 166(8). 596–598. 16 indexed citations
5.
Liao, Joshua M., Catharine B. Stack, Michael Griswold, & A. Russell Localio. (2017). Annals Understanding Clinical Research: Intention-to-Treat Analysis. Annals of Internal Medicine. 166(9). 662–664. 5 indexed citations
6.
Cornell, John E., Cynthia D. Mulrow, Russell Localio, et al.. (2014). Random-Effects Meta-analysis of Inconsistent Effects: A Time for Change. Annals of Internal Medicine. 160(4). 267–270. 330 indexed citations
7.
Sweet, Kevin, Erynn S. Gordon, Amy C. Sturm, et al.. (2014). Design and Implementation of a Randomized Controlled Trial of Genomic Counseling for Patients with Chronic Disease. Journal of Personalized Medicine. 4(1). 1–19. 19 indexed citations
8.
Gharani, Neda, Margaret Keller, Catharine B. Stack, et al.. (2013). The Coriell personalized medicine collaborative pharmacogenomics appraisal, evidence scoring and interpretation system. Genome Medicine. 5(10). 93–93. 33 indexed citations
9.
Stack, Catharine B., A. Russell Localio, Michael Griswold, Steven N. Goodman, & Cynthia D. Mulrow. (2013). Handling of Rescue and Missing Data Affects Synthesis and Interpretation of Evidence: The Sodium–Glucose Cotransporter 2 Inhibitor Example. Annals of Internal Medicine. 159(4). 285–288. 12 indexed citations
10.
Wang, Catharine, Erynn S. Gordon, Catharine B. Stack, et al.. (2013). A randomized trial of the clinical utility of genetic testing for obesity: Design and implementation considerations. Clinical Trials. 11(1). 102–113. 7 indexed citations
11.
Stack, Catharine B., Neda Gharani, Erynn S. Gordon, et al.. (2011). Genetic risk estimation in the Coriell Personalized Medicine Collaborative. Genetics in Medicine. 13(2). 131–139. 35 indexed citations
12.
Keller, Margaret, Erynn S. Gordon, Catharine B. Stack, et al.. (2010). Coriell Personalized Medicine Collaborative ® : A Prospective Study of the Utility Of Personalized Medicine. Personalized Medicine. 7(3). 301–317. 55 indexed citations
13.
McGraw, Dennis W., Catharine B. Stack, Jonathan Stephens, et al.. (2000). Complex promoter and coding region β 2 -adrenergic receptor haplotypes alter receptor expression and predict in vivo responsiveness. Proceedings of the National Academy of Sciences. 97(19). 10483–10488. 745 indexed citations breakdown →
14.
Littman, Bruce H., et al.. (1995). Rheumatoid arthritis treated with tenidap and piroxicam clinical associations with cytokine modulation by tenidap. Arthritis & Rheumatism. 38(1). 29–37. 23 indexed citations
15.
Holford, Theodore R. & Catharine B. Stack. (1995). Study design for epidemiologic studies with measurement error. Statistical Methods in Medical Research. 4(4). 339–358. 24 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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