Catharine B. Stack
Impact in
- Pharmacology top 5%
- Pharmacogenetics and Drug Metabolism
- Physiology top 10%
- Asthma and respiratory diseases
Papers in
-
- Statistical Methods in Clinical Trials 6
- Advanced Causal Inference Techniques 3
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- Meta-analysis and systematic reviews 4
- Co-authors
- Krishnan Nandabalan (1 shared paper)Richard Judson (1 shared paper)Gualberto Ruaño (1 shared paper)Dennis W. McGraw (1 shared paper)Kevin Arnold (1 shared paper)Stephen B. Liggett (1 shared paper)Jonathan Stephens (1 shared paper)Cynthia D. Mulrow (3 shared papers)
- Journals
- Annals of Internal Medicine (7 papers)SLEEP (2 papers)Genetics in Medicine (1 paper)Clinical Trials (1 paper)Proceedings of the National Academy of Sciences (1 paper)
- Partner nations
- United States
In The Last Decade
Catharine B. Stack
17 papers receiving 1.3k citations
Catharine B. Stack's Hit Papers
Peers
Comparison fields: 5 of 117
- Pharmacology 151
- Physiology 282
- Statistics, Probability and Uncertainty 67
- Genetics 250
- Statistics and Probability 59
Countries citing papers authored by Catharine B. Stack
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
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-authors
The 25 scholars most cited alongside Catharine B. Stack, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Complex promoter and coding region β 2 -adrenergic receptor haplotypes alter receptor expression and predict in vivo responsiveness Hit paper breakdown → | 2000 | 785 |
| 2 | Random-Effects Meta-analysis of Inconsistent Effects: A Time for Change Hit paper breakdown → | 2014 | 343 |
| 3 | 2010 | 57 | |
| 4 | 2011 | 36 | |
| 5 | 2013 | 34 | |
| 6 | 1995 | 26 | |
| 7 | 1995 | 23 | |
| 8 | 2014 | 19 | |
| 9 | 2017 | 17 | |
| 10 | 2017 | 16 | |
| 11 | 2013 | 12 | |
| 12 | 2013 | 9 | |
| 13 | 2017 | 5 | |
| 14 | 2021 | 3 | |
| 15 | 2021 | 3 | |
| 16 | 2018 | 1 | |
| 17 | 2020 | 1 |
About Catharine B. Stack
Catharine B. Stack is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty, Economics and Econometrics, Molecular Biology and Cognitive Neuroscience, having authored 17 papers that have together received 1.4k indexed citations. Recurring topics across this work include Statistical Methods in Clinical Trials (6 papers), Meta-analysis and systematic reviews (4 papers), Health Systems, Economic Evaluations, Quality of Life (4 papers), Advanced Causal Inference Techniques (3 papers), Genomics and Rare Diseases (2 papers), BRCA gene mutations in cancer (2 papers), Sleep and related disorders (2 papers) and Sleep and Wakefulness Research (2 papers). The work is most often cited by research in Pharmacology (151 citations), Physiology (282 citations), Statistics, Probability and Uncertainty (67 citations), Genetics (250 citations) and Statistics and Probability (59 citations). Catharine B. Stack has collaborated with scholars based in United States. Frequent co-authors include Krishnan Nandabalan, Richard Judson, Gualberto Ruaño, Dennis W. McGraw, Kevin Arnold, Stephen B. Liggett, Jonathan Stephens, Cynthia D. Mulrow, John E. Cornell and Steven N. Goodman. Their work appears in journals such as Annals of Internal Medicine, SLEEP, Genetics in Medicine, Clinical Trials and Proceedings of the National Academy of Sciences.
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.