Jennifer Stone

3.0k total citations · 4 hit papers
47 papers, 1.6k citations indexed

About

Jennifer Stone is a scholar working on Statistics, Probability and Uncertainty, Economics and Econometrics and General Health Professions. According to data from OpenAlex, Jennifer Stone has authored 47 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Statistics, Probability and Uncertainty, 18 papers in Economics and Econometrics and 12 papers in General Health Professions. Recurrent topics in Jennifer Stone's work include Meta-analysis and systematic reviews (25 papers), Health Systems, Economic Evaluations, Quality of Life (18 papers) and Delphi Technique in Research (6 papers). Jennifer Stone is often cited by papers focused on Meta-analysis and systematic reviews (25 papers), Health Systems, Economic Evaluations, Quality of Life (18 papers) and Delphi Technique in Research (6 papers). Jennifer Stone collaborates with scholars based in Australia, Canada and United Kingdom. Jennifer Stone's co-authors include Zachary Munn, Timothy Hugh Barker, Edoardo Aromataris, Miloslav Klugar, Jo Leonardi‐Bee, Kim Sears, Cătălin Tufănaru, Suhail A.R. Doi, Kathryn Glass and Peter Tugwell and has published in prestigious journals such as PLoS ONE, Journal of Clinical Epidemiology and PLoS Medicine.

In The Last Decade

Jennifer Stone

45 papers receiving 1.6k citations

Hit Papers

align trajectories sort by overperformance

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.

The revised JBI critical appraisal tool for the assessment of risk of bias for randomized controlled trials

2023 468 citations Timothy Hugh Barker, Jennifer Stone et al. JBI Evidence Synthesis profile →
The revised JBI critical appraisal tool for the assessment of risk of bias for quasi-experimental studies

2024 215 citations Timothy Hugh Barker, Nahal Habibi et al. JBI Evidence Synthesis profile →
Revising the JBI quantitative critical appraisal tools to improve their applicability: an overview of methods and the development process

2022 194 citations Timothy Hugh Barker, Jennifer Stone et al. JBI Evidence Synthesis profile →
Assessing the risk of bias of quantitative analytical studies: introducing the vision for critical appraisal within JBI systematic reviews

2022 106 citations Zachary Munn, Jennifer Stone et al. JBI Evidence Synthesis profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jennifer Stone Australia	17	212	209	203	190	140	47	1.6k
Linlu Ma China	10	169 0.8×	183 0.9×	197 1.0×	126 0.7×	120 0.9×	26	1.6k
Carlos A. Cuello‐García Mexico	22	199 0.9×	263 1.3×	362 1.8×	189 1.0×	102 0.7×	54	2.1k
Candice Estellat France	20	398 1.9×	319 1.5×	167 0.8×	142 0.7×	111 0.8×	56	1.6k
Kim Sears Canada	17	180 0.8×	211 1.0×	316 1.6×	327 1.7×	208 1.5×	57	2.1k
Joey S.W. Kwong China	13	281 1.3×	363 1.7×	256 1.3×	414 2.2×	106 0.8×	24	2.5k
Gordon Dooley United Kingdom	14	201 0.9×	261 1.2×	281 1.4×	245 1.3×	114 0.8×	23	1.9k
Michelle Gates Canada	20	183 0.9×	108 0.5×	329 1.6×	404 2.1×	92 0.7×	54	1.6k
Stephanie Chang United States	23	248 1.2×	238 1.1×	343 1.7×	364 1.9×	128 0.9×	62	2.0k
Aneesa Motala United States	23	224 1.1×	194 0.9×	461 2.3×	441 2.3×	270 1.9×	91	2.1k
Carole Lunny Canada	20	251 1.2×	147 0.7×	277 1.4×	364 1.9×	69 0.5×	58	1.7k

Countries citing papers authored by Jennifer Stone

Since Specialization

Citations

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

Fields of papers citing papers by Jennifer Stone

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jennifer Stone

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

All Works

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20 of 20 papers shown

Barker, Timothy Hugh, Sabira Hasanoff, Edoardo Aromataris, et al.. (2025). The revised JBI critical appraisal tool for the assessment of risk of bias for analytical cross-sectional studies. JBI Evidence Synthesis. 24(3). 401–408. 7 indexed citations

Barker, Timothy Hugh, Sabira Hasanoff, Edoardo Aromataris, et al.. (2024). The revised JBI critical appraisal tool for the assessment of risk of bias for cohort studies. JBI Evidence Synthesis. 23(3). 441–453. 19 indexed citations

Barker, Timothy Hugh, Amanda Ross‐White, Danielle Pollock, et al.. (2024). Tools, techniques, methods, and processes for the detection and mitigation of fraudulent or erroneous data in evidence synthesis: a scoping review protocol. JBI Evidence Synthesis. 23(3). 536–545. 4 indexed citations

Munn, Zachary, Danielle Pollock, Jennifer Stone, et al.. (2024). The impact of using cannabis during pregnancy on the infant and mother: An overview of systematic reviews, evidence map, targeted updates, and de novo synthesis. Australian and New Zealand Journal of Obstetrics and Gynaecology. 65(3). 312–328.

Barker, Timothy Hugh, Nahal Habibi, Edoardo Aromataris, et al.. (2024). The revised JBI critical appraisal tool for the assessment of risk of bias for quasi-experimental studies. JBI Evidence Synthesis. 22(3). 378–388. 215 indexed citations breakdown →

Stone, Jennifer, Jo Leonardi‐Bee, Timothy Hugh Barker, et al.. (2024). Common tool structures and approaches to risk of bias assessment: implications for systematic reviewers. JBI Evidence Synthesis. 22(3). 389–393. 2 indexed citations

Barker, Timothy Hugh, Jennifer Stone, Kim Sears, et al.. (2023). The revised JBI critical appraisal tool for the assessment of risk of bias for randomized controlled trials. JBI Evidence Synthesis. 21(3). 494–506. 468 indexed citations breakdown →

Barker, Timothy Hugh, Jennifer Stone, Sabira Hasanoff, et al.. (2023). Effectiveness of dual active ingredient insecticide-treated nets in preventing malaria: A systematic review and meta-analysis. PLoS ONE. 18(8). e0289469–e0289469. 11 indexed citations

Pollock, Danielle, Timothy Hugh Barker, Jennifer Stone, et al.. (2023). Predatory journals and their practices present a conundrum for systematic reviewers and evidence synthesisers of health research: A qualitative descriptive study. Research Synthesis Methods. 15(2). 257–274. 2 indexed citations

10.

Abdulmajeed, Jazeel, et al.. (2023). Use of conditional estimates of effect in cancer epidemiology: An application to lung cancer treatment. Cancer Epidemiology. 88. 102521–102521. 1 indexed citations

11.

Barker, Timothy Hugh, Danielle Pollock, Jennifer Stone, et al.. (2023). How should we handle predatory journals in evidence synthesis? A descriptive survey‐based cross‐sectional study of evidence synthesis experts. Research Synthesis Methods. 14(3). 370–381. 12 indexed citations

12.

Stone, Jennifer, et al.. (2023). Reporting of 3Rs Approaches in Preclinical Animal Experimental Studies—A Nationwide Study. Animals. 13(19). 3005–3005. 4 indexed citations

13.

Stone, Jennifer, et al.. (2022). Reporting quality in preclinical animal experimental research in 2009 and 2018: A nationwide systematic investigation. PLoS ONE. 17(11). e0275962–e0275962. 10 indexed citations

14.

Barker, Timothy Hugh, Jennifer Stone, Sabira Hasanoff, et al.. (2022). Dual-active-ingredient, insecticidal nets for preventing malaria: a systematic review protocol. F1000Research. 11. 1020–1020. 2 indexed citations

15.

Munn, Zachary, Jennifer Stone, Edoardo Aromataris, et al.. (2022). Assessing the risk of bias of quantitative analytical studies: introducing the vision for critical appraisal within JBI systematic reviews. JBI Evidence Synthesis. 21(3). 467–471. 106 indexed citations breakdown →

16.

Stone, Jennifer, Kathryn Glass, Justin Clark, et al.. (2021). The MethodologicAl STandards for Epidemiological Research (MASTER) scale demonstrated a unified framework for bias assessment. Journal of Clinical Epidemiology. 134. 52–64. 39 indexed citations

17.

Stone, Jennifer, Kathryn Glass, Justin Clark, et al.. (2019). A unified framework for bias assessment in clinical research. International Journal of Evidence-Based Healthcare. 17(2). 106–120. 32 indexed citations

18.

Stone, Jennifer, Usha Gurunathan, Kathryn Glass, et al.. (2018). Stratification by quality induced selection bias in a meta-analysis of clinical trials. Journal of Clinical Epidemiology. 107. 51–59. 54 indexed citations

19.

Furuya‐Kanamori, Luis, Jennifer Stone, Justin Clark, et al.. (2014). Comorbidities, Exposure to Medications, and the Risk of Community-Acquired Clostridium difficile Infection: A Systematic Review and Meta-analysis. Infection Control and Hospital Epidemiology. 36(2). 132–141. 119 indexed citations

20.

Stone, Jennifer, Justin Clark, Ross C. Cuneo, Anthony Russell, & Suhail A.R. Doi. (2013). Estrogen and selective estrogen receptor modulators (SERMs) for the treatment of acromegaly: a meta-analysis of published observational studies. Pituitary. 17(3). 284–295. 22 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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