Thérèse Sheppard

465 total citations
9 papers, 260 citations indexed

About

Thérèse Sheppard is a scholar working on Statistics and Probability, Public Health, Environmental and Occupational Health and Economics and Econometrics. According to data from OpenAlex, Thérèse Sheppard has authored 9 papers receiving a total of 260 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Statistics and Probability, 3 papers in Public Health, Environmental and Occupational Health and 3 papers in Economics and Econometrics. Recurrent topics in Thérèse Sheppard's work include Health Systems, Economic Evaluations, Quality of Life (3 papers), Statistical Methods in Clinical Trials (3 papers) and Pain Management and Opioid Use (2 papers). Thérèse Sheppard is often cited by papers focused on Health Systems, Economic Evaluations, Quality of Life (3 papers), Statistical Methods in Clinical Trials (3 papers) and Pain Management and Opioid Use (2 papers). Thérèse Sheppard collaborates with scholars based in United Kingdom, Canada and United States. Thérèse Sheppard's co-authors include William G Dixon, Mark Lunt, Meghna Jani, Belay Birlie Yimer, Robyn Tamblyn, David W. Bates, David L. Buckeridge, Nadyne Girard, Jennifer S. Haas and George Karystianis and has published in prestigious journals such as Journal of Clinical Epidemiology, Journal of the American Geriatrics Society and PLoS Medicine.

In The Last Decade

Thérèse Sheppard

9 papers receiving 258 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Thérèse Sheppard United Kingdom	7	113	73	51	37	37	9	260
Belay Birlie Yimer United Kingdom	9	96 0.8×	59 0.8×	46 0.9×	13 0.4×	32 0.9×	20	276
Aleksi Hamina Finland	10	113 1.0×	94 1.3×	42 0.8×	93 2.5×	16 0.4×	32	267
Don McGeary United States	9	165 1.5×	64 0.9×	133 2.6×	50 1.4×	32 0.9×	10	313
Ralf Habermann United States	9	62 0.5×	88 1.2×	16 0.3×	55 1.5×	36 1.0×	19	293
Mark A. Austen United States	9	180 1.6×	91 1.2×	73 1.4×	24 0.6×	50 1.4×	10	360
Aleksandra Kotlińska–Lemieszek Poland	10	127 1.1×	115 1.6×	26 0.5×	46 1.2×	48 1.3×	40	334
Amy C. S. Pearson United States	11	128 1.1×	67 0.9×	49 1.0×	10 0.3×	62 1.7×	35	333
Alex Secora United States	10	91 0.8×	33 0.5×	39 0.8×	61 1.6×	38 1.0×	19	472
Juan M. Hincapie‐Castillo United States	14	163 1.4×	74 1.0×	104 2.0×	70 1.9×	40 1.1×	50	477
Joseph Couto United States	8	172 1.5×	130 1.8×	48 0.9×	47 1.3×	123 3.3×	15	462

Countries citing papers authored by Thérèse Sheppard

Since Specialization

Citations

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

Fields of papers citing papers by Thérèse Sheppard

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Thérèse Sheppard

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

All Works

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9 of 9 papers shown

Jani, Meghna, Nadyne Girard, David W. Bates, et al.. (2021). Opioid prescribing among new users for non-cancer pain in the USA, Canada, UK, and Taiwan: A population-based cohort study. PLoS Medicine. 18(11). e1003829–e1003829. 21 indexed citations

Jani, Meghna, Belay Birlie Yimer, Thérèse Sheppard, Mark Lunt, & William G Dixon. (2020). Time trends and prescribing patterns of opioid drugs in UK primary care patients with non-cancer pain: A retrospective cohort study. PLoS Medicine. 17(10). e1003270–e1003270. 94 indexed citations

Tamblyn, Robyn, David W. Bates, David L. Buckeridge, et al.. (2020). Multinational Investigation of Fracture Risk with Antidepressant Use by Class, Drug, and Indication. Journal of the American Geriatrics Society. 68(7). 1494–1503. 19 indexed citations

Danieli, Coraline, Thérèse Sheppard, Ruth Costello, William G Dixon, & Michał Abrahamowicz. (2020). Modeling of cumulative effects of time-varying drug exposures on within-subject changes in a continuous outcome. Statistical Methods in Medical Research. 29(9). 2554–2568. 11 indexed citations

Tamblyn, Robyn, David W. Bates, David L. Buckeridge, et al.. (2019). Multinational comparison of new antidepressant use in older adults: a cohort study. BMJ Open. 9(5). e027663–e027663. 36 indexed citations

Pye, Stephen R., Thérèse Sheppard, Rebecca M. Joseph, et al.. (2018). Assumptions made when preparing drug exposure data for analysis have an impact on results: An unreported step in pharmacoepidemiology studies. Pharmacoepidemiology and Drug Safety. 27(7). 781–788. 38 indexed citations

Sheppard, Thérèse, Robyn Tamblyn, Michał Abrahamowicz, et al.. (2017). A comparison of methods for estimating the temporal change in a continuous variable: Example of HbA1c in patients with diabetes. Pharmacoepidemiology and Drug Safety. 26(12). 1474–1482. 3 indexed citations

Tamblyn, Robyn, Nadyne Girard, William G Dixon, et al.. (2016). Pharmacosurveillance without borders: electronic health records in different countries can be used to address important methodological issues in estimating the risk of adverse events. Journal of Clinical Epidemiology. 77. 101–111. 6 indexed citations

Karystianis, George, Thérèse Sheppard, William G Dixon, & Goran Nenadić. (2015). Modelling and extraction of variability in free-text medication prescriptions from an anonymised primary care electronic medical record research database. BMC Medical Informatics and Decision Making. 16(1). 18–18. 32 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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