Stuart Bailey

978 total citations · 1 hit paper
15 papers, 524 citations indexed

About

Stuart Bailey is a scholar working on Statistics and Probability, Management Science and Operations Research and Epidemiology. According to data from OpenAlex, Stuart Bailey has authored 15 papers receiving a total of 524 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Statistics and Probability, 4 papers in Management Science and Operations Research and 3 papers in Epidemiology. Recurrent topics in Stuart Bailey's work include Statistical Methods in Clinical Trials (5 papers), Optimal Experimental Design Methods (4 papers) and Traumatic Brain Injury Research (3 papers). Stuart Bailey is often cited by papers focused on Statistical Methods in Clinical Trials (5 papers), Optimal Experimental Design Methods (4 papers) and Traumatic Brain Injury Research (3 papers). Stuart Bailey collaborates with scholars based in United States, Switzerland and United Kingdom. Stuart Bailey's co-authors include Beat Neuenschwander, Satrajit Roychoudhury, Simon Wandel, Robert L. Grossman, Mikhail Akimov, H. Sivakumar, Cornelia Quadt, Cristiana Sessa, Hong Lü and Michael Branson and has published in prestigious journals such as Journal of Clinical Oncology, Blood and Clinical Cancer Research.

In The Last Decade

Stuart Bailey

14 papers receiving 504 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Prevention strategies and modifiable risk factors for sport-related concussions and head impacts: a systematic review and meta-analysis

2023 70 citations Paul Eliason, Jean‐Michel Galarneau et al. British Journal of Sports Medicine profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Stuart Bailey United States	11	175	147	91	73	59	15	524
Lanju Zhang United States	14	215 1.2×	233 1.6×	129 1.4×	29 0.4×	12 0.2×	46	885
Mark Chang United States	12	441 2.5×	59 0.4×	179 2.0×	24 0.3×	30 0.5×	48	712
Chris Harbron United Kingdom	18	122 0.7×	266 1.8×	50 0.5×	33 0.5×	57 1.0×	41	908
Kourosh Parivar United States	9	165 0.9×	133 0.9×	20 0.2×	30 0.4×	7 0.1×	21	649
Michael Sfakianakis Greece	13	68 0.4×	55 0.4×	31 0.3×	213 2.9×	41 0.7×	27	650
Satrajit Roychoudhury United States	15	772 4.4×	96 0.7×	183 2.0×	31 0.4×	27 0.5×	38	1.1k
Richard Aló United States	11	51 0.3×	91 0.6×	54 0.6×	47 0.6×	67 1.1×	71	809
Yining Ye United States	14	155 0.9×	147 1.0×	29 0.3×	61 0.8×	39 0.7×	32	703
K. F. Cheng Taiwan	14	84 0.5×	70 0.5×	11 0.1×	66 0.9×	60 1.0×	31	497

Countries citing papers authored by Stuart Bailey

Since Specialization

Citations

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

Fields of papers citing papers by Stuart Bailey

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stuart Bailey

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

All Works

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15 of 15 papers shown

West, Stephen, Stuart Bailey, Alix Hayden, et al.. (2023). Injury Rates, Mechanisms, Risk Factors and Prevention Strategies in Youth Rugby Union: What’s All the Ruck-Us About? A Systematic Review and Meta-analysis. Sports Medicine. 53(7). 1375–1393. 13 indexed citations

Eliason, Paul, Jean‐Michel Galarneau, Ash T Kolstad, et al.. (2023). Prevention strategies and modifiable risk factors for sport-related concussions and head impacts: a systematic review and meta-analysis. British Journal of Sports Medicine. 57(12). 749–761. 70 indexed citations breakdown →

Bailey, Stuart, et al.. (2023). Epidemiology of International Match Injuries in Scottish Rugby: A Prospective Cohort Study. International Journal of Sports Medicine. 44(11). 805–812. 7 indexed citations

Zhou, Yanhong, J. Jack Lee, Shunguang Wang, Stuart Bailey, & Ying Yuan. (2021). Incorporating historical information to improve phase I clinical trials. Pharmaceutical Statistics. 20(6). 1017–1034. 12 indexed citations

Bailey, Stuart, et al.. (2021). 010 Effects of a strength and proprioceptive training programme on neck function and concussion injury risk in elite scottish rugby union players. A4.1–A4.

Zame, William R., Ioana Bica, Cong Shen, et al.. (2020). Machine learning for clinical trials in the era of COVID-19. Statistics in Biopharmaceutical Research. 12(4). 506–517. 35 indexed citations

Neuenschwander, Beat, Simon Wandel, Satrajit Roychoudhury, & Stuart Bailey. (2015). Robust exchangeability designs for early phase clinical trials with multiple strata. Pharmaceutical Statistics. 15(2). 123–134. 115 indexed citations

Sessa, Cristiana, Geoffrey I. Shapiro, Kapil N. Bhalla, et al.. (2013). First-in-Human Phase I Dose-Escalation Study of the HSP90 Inhibitor AUY922 in Patients with Advanced Solid Tumors. Clinical Cancer Research. 19(13). 3671–3680. 119 indexed citations

Garon, Edward B., Teresa Morán, Fabrice Barlési, et al.. (2012). Phase II study of the HSP90 inhibitor AUY922 in patients with previously treated, advanced non-small cell lung cancer (NSCLC).. Journal of Clinical Oncology. 30(15_suppl). 7543–7543. 34 indexed citations

10.

Bailey, Stuart, Roger Palframan, Gillian F. Watt, & John Porter. (2012). The Discovery of CDP323, a Potent Alpha4 Integrin Antagonist. Current Immunology Reviews. 8(2). 135–140. 1 indexed citations

11.

Gasparini, Mauro, Stuart Bailey, & Beat Neuenschwander. (2010). Bayesian Dose Finding in Oncology for Drug Combinations by Copula Regression. Journal of the Royal Statistical Society Series C (Applied Statistics). 59(3). 543–544. 18 indexed citations

12.

Bailey, Stuart, Beat Neuenschwander, Glen Laird, & Michael Branson. (2009). A Bayesian Case Study in Oncology Phase I Combination Dose-Finding Using Logistic Regression with Covariates. Journal of Biopharmaceutical Statistics. 19(3). 469–484. 28 indexed citations

13.

Pietrangelo, Antonello, Pierre Brissot, Herbert L. Bonkovsky, et al.. (2007). Design of an Ongoing Phase I/II Open-Label, Dose-Escalation Trial Using the Oral Chelator Deferasirox To Treat Iron Overload in HFE-Related Hereditary Hemochromatosis (HH).. Blood. 110(11). 2680–2680. 4 indexed citations

14.

Grossman, Robert L., et al.. (1999). The management and mining of multiple predictive models using the predictive modeling markup language. Information and Software Technology. 41(9). 589–595. 31 indexed citations

15.

Bailey, Stuart, et al.. (1999). Papyrus. 63–63. 37 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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