Gayle Bieler

2.9k total citations · 1 hit paper
19 papers, 2.5k citations indexed

About

Gayle Bieler is a scholar working on Epidemiology, Statistics and Probability and Neurology. According to data from OpenAlex, Gayle Bieler has authored 19 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Epidemiology, 4 papers in Statistics and Probability and 3 papers in Neurology. Recurrent topics in Gayle Bieler's work include Traumatic Brain Injury Research (4 papers), Statistical Methods and Bayesian Inference (3 papers) and Traumatic Brain Injury and Neurovascular Disturbances (3 papers). Gayle Bieler is often cited by papers focused on Traumatic Brain Injury Research (4 papers), Statistical Methods and Bayesian Inference (3 papers) and Traumatic Brain Injury and Neurovascular Disturbances (3 papers). Gayle Bieler collaborates with scholars based in United States, United Kingdom and Brazil. Gayle Bieler's co-authors include B Barnwell, Babubhai V. Shah, Roger Williams, Daniel J. Brogan, Greg Brown, Bhavin J. Shah, Michael Witt, Susan T. Ennett, Rick L. Williams and Gary A. Zarkin and has published in prestigious journals such as Journal of Consulting and Clinical Psychology, American Journal of Epidemiology and Biometrics.

In The Last Decade

Gayle Bieler

19 papers receiving 2.4k citations

Hit Papers

SUDAAN User's Manual, Release 7.5, 1997 2026 2006 2016 1997 250 500 750 1000

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gayle Bieler United States 14 639 509 454 405 308 19 2.5k
B Barnwell United States 8 557 0.9× 333 0.7× 382 0.8× 332 0.8× 307 1.0× 12 2.0k
Sharon J. Rolnick United States 30 731 1.1× 469 0.9× 816 1.8× 227 0.6× 267 0.9× 79 3.3k
In‐Hwan Oh South Korea 31 516 0.8× 514 1.0× 382 0.8× 283 0.7× 264 0.9× 174 3.0k
Vicki Foerster Canada 6 737 1.2× 387 0.8× 587 1.3× 330 0.8× 139 0.5× 13 3.3k
Mhairi Campbell United Kingdom 22 964 1.5× 394 0.8× 688 1.5× 522 1.3× 254 0.8× 57 4.3k
Joël Ladner France 27 448 0.7× 451 0.9× 374 0.8× 578 1.4× 275 0.9× 122 2.1k
Emil Kupek Brazil 30 734 1.1× 508 1.0× 792 1.7× 220 0.5× 205 0.7× 147 3.1k
Debra L. Blackwell United States 18 725 1.1× 286 0.6× 367 0.8× 295 0.7× 435 1.4× 27 3.0k
Pamela Jo Johnson United States 31 704 1.1× 660 1.3× 395 0.9× 373 0.9× 350 1.1× 94 3.0k

Countries citing papers authored by Gayle Bieler

Since Specialization
Citations

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

Fields of papers citing papers by Gayle Bieler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gayle Bieler

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

All Works

19 of 19 papers shown
1.
Mufson, Elliott J., Bin He, Stephen D. Ginsberg, et al.. (2018). Gene Profiling of Nucleus Basalis Tau Containing Neurons in Chronic Traumatic Encephalopathy: A Chronic Effects of Neurotrauma Consortium Study. Journal of Neurotrauma. 35(11). 1260–1271. 24 indexed citations
2.
Mouzon, Benoit, Nicole Saltiel, Scott Ferguson, et al.. (2018). Impact of age on acute post-TBI neuropathology in mice expressing humanized tau: a Chronic Effects of Neurotrauma Consortium study. Brain Injury. 32(10). 1285–1294. 17 indexed citations
3.
Ferguson, Scott, Benoit Mouzon, Cillian Lynch, et al.. (2017). Negative Impact of Female Sex on Outcomes from Repetitive Mild Traumatic Brain Injury in hTau Mice Is Age Dependent: A Chronic Effects of Neurotrauma Consortium Study. Frontiers in Aging Neuroscience. 9. 416–416. 23 indexed citations
4.
Peiper, Nicholas C., Peter Baumgartner, Robert Chew, et al.. (2017). Patterns of Twitter Behavior Among Networks of Cannabis Dispensaries in California. Journal of Medical Internet Research. 19(7). e236–e236. 8 indexed citations
5.
Roy, Michael J., Michelle E. Costanzo, Jessica Gill, et al.. (2015). Predictors of Neurocognitive Syndromes in Combat Veterans. Cureus. 7(7). e293–e293. 4 indexed citations
6.
Bieler, Gayle, Greg Brown, Roger Williams, & Daniel J. Brogan. (2010). Estimating Model-Adjusted Risks, Risk Differences, and Risk Ratios From Complex Survey Data. American Journal of Epidemiology. 171(5). 618–623. 391 indexed citations
7.
Barnwell, B, Gayle Bieler, & Michael Witt. (2008). SUDAAN language manual, release 10.0. 186 indexed citations
8.
Witt, Michael, et al.. (2008). SUDAAN language manual. 34 indexed citations
9.
Price, Catherine J., Melissa C. Marr, Christina Myers, et al.. (2006). Prenatal developmental toxicity evaluation of 2′,3′‐dideoxyinosine (ddI) and 2′,3′‐didehydro‐3′‐deoxythymidine (d4T) co‐administered to Swiss Albino (CD‐1) mice. Birth Defects Research Part B Developmental and Reproductive Toxicology. 77(3). 207–215. 3 indexed citations
10.
Bieler, Gayle, B Barnwell, & Michael Witt. (2004). SUDAAN Example Manual, Release 9.0. 24 indexed citations
11.
Bieler, Gayle, B Barnwell, & Babubhai V. Shah. (1997). SUDAAN User's Manual, Release 7.5,. 6(3). 241–5. 1183 indexed citations breakdown →
12.
Barnwell, B, et al.. (1996). SUDAAN Technical Report: The MULTILOG Procedure, Release 6.6,:. 1 indexed citations
13.
Norton, Edward C., Gayle Bieler, Susan T. Ennett, & Gary A. Zarkin. (1996). Analysis of prevention program effectiveness with clustered data using generalized estimating equations.. Journal of Consulting and Clinical Psychology. 64(5). 919–926. 97 indexed citations
14.
Barnwell, B, et al.. (1996). Technical Manual, Statistical Methods and Algorithms Used in SUDAAN, Release 7.0,. 5 indexed citations
15.
Norton, Edward C., Gayle Bieler, Susan T. Ennett, & Gary A. Zarkin. (1996). Analysis of prevention program effectiveness with clustered data using generalized estimating equations.. Journal of Consulting and Clinical Psychology. 64(5). 919–926. 83 indexed citations
16.
Bieler, Gayle & Roger Williams. (1995). Cluster Sampling Techniques in Quantal Response Teratology and Developmental Toxicity Studies. Biometrics. 51(2). 764–764. 39 indexed citations
17.
Shah, Bhavin J., B Barnwell, & Gayle Bieler. (1995). SUDAAN User's Manual: Software for Analysis of Correlated Data, Release 6.40,. 244 indexed citations
18.
Ennett, Susan T., Dennis P. Rosenbaum, Robert L. Flewelling, et al.. (1994). Long-term evaluation of drug abuse resistance education. Addictive Behaviors. 19(2). 113–125. 95 indexed citations
19.
Bieler, Gayle & Rick L. Williams. (1993). Ratio Estimates, the Delta Method, and Quantal Response Tests for Increased Carcinogenicity. Biometrics. 49(3). 793–793. 89 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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