Jane Candlish

928 total citations
6 papers, 208 citations indexed

About

Jane Candlish is a scholar working on Economics and Econometrics, Statistics and Probability and General Health Professions. According to data from OpenAlex, Jane Candlish has authored 6 papers receiving a total of 208 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Economics and Econometrics, 3 papers in Statistics and Probability and 2 papers in General Health Professions. Recurrent topics in Jane Candlish's work include Health Systems, Economic Evaluations, Quality of Life (3 papers), Statistical Methods in Clinical Trials (2 papers) and Advanced Causal Inference Techniques (2 papers). Jane Candlish is often cited by papers focused on Health Systems, Economic Evaluations, Quality of Life (3 papers), Statistical Methods in Clinical Trials (2 papers) and Advanced Causal Inference Techniques (2 papers). Jane Candlish collaborates with scholars based in United Kingdom and Netherlands. Jane Candlish's co-authors include Matthew Sperrin, Iain Buchan, Andrew G. Renehan, Ellena Badrick, Stephen J. Walters, Inês B. Henriques, M. Dawn Teare, Richard Jacques, Nikki Totton and Laura Flight and has published in prestigious journals such as Epidemiology, BMC Medical Research Methodology and Trials.

In The Last Decade

Jane Candlish

6 papers receiving 205 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jane Candlish United Kingdom	6	34	32	26	24	24	6	208
Daniela R. Junqueira Canada	9	20 0.6×	48 1.5×	13 0.5×	21 0.9×	12 0.5×	17	342
David E. Kloecker United Kingdom	10	33 1.0×	21 0.7×	26 1.0×	60 2.5×	27 1.1×	15	308
Nina Deliu Italy	7	29 0.9×	6 0.2×	17 0.7×	22 0.9×	22 0.9×	21	208
Alice Heaney United Kingdom	10	12 0.4×	37 1.2×	47 1.8×	37 1.5×	24 1.0×	27	317
Francesca Cerreta Netherlands	9	16 0.5×	20 0.6×	18 0.7×	47 2.0×	8 0.3×	19	337
H. Ueshima Japan	6	15 0.4×	46 1.4×	9 0.3×	19 0.8×	9 0.4×	8	196
Russell Ross	2	58 1.7×	34 1.1×	25 1.0×	21 0.9×	9 0.4×	5	339
Steven Fox United States	5	35 1.0×	15 0.5×	111 4.3×	14 0.6×	16 0.7×	7	279
Russell Slack United Kingdom	9	17 0.5×	57 1.8×	63 2.4×	14 0.6×	5 0.2×	11	374
Mariia Samoilenko Canada	8	32 0.9×	45 1.4×	7 0.3×	32 1.3×	20 0.8×	25	247

Countries citing papers authored by Jane Candlish

Since Specialization

Citations

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

Fields of papers citing papers by Jane Candlish

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jane Candlish

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

All Works

Sort: Min cites: Since: Top N: Style:

6 of 6 papers shown

1.

Walters, Stephen J., et al.. (2019). Sample size estimation for randomised controlled trials with repeated assessment of patient-reported outcomes: what correlation between baseline and follow-up outcomes should we assume?. Trials. 20(1). 566–566. 49 indexed citations

2.

Candlish, Jane, M. Dawn Teare, Judith Cohen, & Tracey Bywater. (2019). Statistical design and analysis in trials of proportionate interventions: a systematic review. Trials. 20(1). 151–151. 9 indexed citations

3.

Candlish, Jane, M. Dawn Teare, Munyaradzi Dimairo, et al.. (2018). Appropriate statistical methods for analysing partially nested randomised controlled trials with continuous outcomes: a simulation study. BMC Medical Research Methodology. 18(1). 105–105. 37 indexed citations

4.

Pate, Alexander, et al.. (2016). Cohort Multiple Randomised Controlled Trials (cmRCT) design: efficient but biased? A simulation study to evaluate the feasibility of the Cluster cmRCT design. BMC Medical Research Methodology. 16(1). 109–109. 20 indexed citations

5.

Sperrin, Matthew, Jane Candlish, Ellena Badrick, Andrew G. Renehan, & Iain Buchan. (2016). Collider Bias Is Only a Partial Explanation for the Obesity Paradox. Epidemiology. 27(4). 525–530. 88 indexed citations

6.

Candlish, Jane, et al.. (1998). What makes a good doctor--views of non-medical professionals.. PubMed. 39(12). 532–4. 5 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.

Explore authors with similar magnitude of impact