Richard Jacques

4.6k total citations · 1 hit paper
96 papers, 2.8k citations indexed

About

Richard Jacques is a scholar working on Emergency Medicine, Economics and Econometrics and General Health Professions. According to data from OpenAlex, Richard Jacques has authored 96 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Emergency Medicine, 18 papers in Economics and Econometrics and 17 papers in General Health Professions. Recurrent topics in Richard Jacques's work include Emergency and Acute Care Studies (26 papers), Trauma and Emergency Care Studies (14 papers) and Bone health and osteoporosis research (11 papers). Richard Jacques is often cited by papers focused on Emergency and Acute Care Studies (26 papers), Trauma and Emergency Care Studies (14 papers) and Bone health and osteoporosis research (11 papers). Richard Jacques collaborates with scholars based in United Kingdom, United States and Australia. Richard Jacques's co-authors include Steven A. Julious, Jonathan Grudin, Stephen J. Walters, Ellen Lee, Richard Eastell, Amy Whitehead, Jennifer Walsh, Michael J. Campbell, Jon Nicholl and Suzanne Mason and has published in prestigious journals such as SHILAP Revista de lepidopterología, Blood and PLoS ONE.

In The Last Decade

Richard Jacques

92 papers receiving 2.7k 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.

Recruitment and retention of participants in randomised controlled trials: a review of trials funded and published by the United Kingdom Health Technology Assessment Programme

2017 325 citations Stephen J. Walters, Inês B. Henriques et al. BMJ Open profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Richard Jacques United Kingdom	28	432	391	388	362	346	96	2.8k
Oliver Senn Switzerland	37	481 1.1×	231 0.6×	306 0.8×	218 0.6×	431 1.2×	198	4.4k
Eleanor Pullenayegum Canada	34	554 1.3×	493 1.3×	496 1.3×	287 0.8×	149 0.4×	223	5.5k
Tatyana Shamliyan United States	36	990 2.3×	338 0.9×	424 1.1×	619 1.7×	193 0.6×	111	5.7k
Chuen Seng Tan Singapore	39	502 1.2×	354 0.9×	546 1.4×	464 1.3×	123 0.4×	237	5.1k
Claire M. Spettell United States	35	498 1.2×	348 0.9×	455 1.2×	175 0.5×	132 0.4×	77	4.2k
Christine Lainé United States	26	816 1.9×	334 0.9×	589 1.5×	219 0.6×	132 0.4×	97	3.1k
David B. Preen Australia	40	1.1k 2.5×	350 0.9×	643 1.7×	501 1.4×	222 0.6×	312	5.8k
Sarah Cuschieri Malta	21	421 1.0×	105 0.3×	520 1.3×	326 0.9×	110 0.3×	127	3.5k
Klaus‐Peter Schulz Germany	10	399 0.9×	147 0.4×	696 1.8×	223 0.6×	123 0.4×	14	4.9k
Meera Viswanathan United States	32	1.3k 3.0×	131 0.3×	495 1.3×	276 0.8×	137 0.4×	117	4.7k

Countries citing papers authored by Richard Jacques

Since Specialization

Citations

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

Fields of papers citing papers by Richard Jacques

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Richard Jacques

This figure shows the co-authorship network connecting the top 25 collaborators of Richard Jacques. A scholar is included among the top collaborators of Richard Jacques 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 Richard Jacques. Richard Jacques 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

Soni, Abhishek, Jenna Morgan, Richard Jacques, & Lynda Wyld. (2025). Trends in the rate of axillary clearance following the publication of the ACOSOG Z0011 trial: A systematic review. European Journal of Surgical Oncology. 51(8). 110023–110023.

Novodvorský, Peter, Alan Bernjak, Emily Downs, et al.. (2025). Electrocardiograpic responses during spontaneous hypoglycaemia in people with type 1 diabetes and impaired awareness of hypoglycaemia. Diabetic Medicine. 42(7). e70019–e70019. 1 indexed citations

Walters, Stephen J., et al.. (2024). Socio-economic, demographic, and contextual predictors of malnutrition among children aged 6–59 months in Nigeria. BMC Nutrition. 10(1). 1–1. 8 indexed citations

Jacques, Richard, et al.. (2023). 05 The safety index of prehospital on scene triage (SINEPOST) study: The development and validation of a risk prediction model to support ambulance clinical transport decisions on-scene. HighWire Press Open Archive. A3.1–A3.

Jacques, Richard, et al.. (2022). The Safety INdEx of Prehospital On Scene Triage (SINEPOST) study: The development and validation of a risk prediction model to support ambulance clinical transport decisions on-scene. PLoS ONE. 17(11). e0276515–e0276515. 4 indexed citations

Simpson, Rebecca, Richard Jacques, Jon Nicholl, Tony Stone, & Janette Turner. (2022). Measuring the impact introducing NHS 111 online had on the NHS 111 telephone service and the wider NHS urgent care system: an observational study. BMJ Open. 12(7). e058964–e058964. 6 indexed citations

Noble, Adam, Suzanne Mason, Laura Bonnett, et al.. (2022). Supporting the ambulance service to safely convey fewer patients to hospital by developing a risk prediction tool: Risk of Adverse Outcomes after a Suspected Seizure (RADOSS)—protocol for the mixed-methods observational RADOSS project. BMJ Open. 12(11). e069156–e069156. 1 indexed citations

Julious, Steven A., et al.. (2022). A descriptive study of samples sizes used in agreement studies published in the PubMed repository. BMC Medical Research Methodology. 22(1). 242–242. 11 indexed citations

Jacques, Richard, et al.. (2021). The Safety INdEx of Prehospital On Scene Triage (SINEPOST) study: the development and validation of a risk prediction model to support ambulance clinical transport decisions on-scene—a protocol. SHILAP Revista de lepidopterología. 5(1). 18–18. 4 indexed citations

10.

Walters, Stephen J., et al.. (2021). Comprehensive review of statistical methods for analysing patient-reported outcomes (PROs) used as primary outcomes in randomised controlled trials (RCTs) published by the UK’s Health Technology Assessment (HTA) journal (1997–2020). BMJ Open. 11(9). e051673–e051673. 10 indexed citations

11.

Walsh, Jennifer, Richard Jacques, Lutz Schomburg, et al.. (2021). Effect of selenium supplementation on musculoskeletal health in older women: a randomised, double-blind, placebo-controlled trial. The Lancet Healthy Longevity. 2(4). e212–e221. 28 indexed citations

12.

O’Cathain, Alicia, Emma Knowles, Janice Connell, et al.. (2020). Drivers of ‘clinically unnecessary’ use of emergency and urgent care: the DEUCE mixed-methods study. SHILAP Revista de lepidopterología. 8(15). 1–256. 12 indexed citations

13.

Turner, Janette, et al.. (2020). Using machine-learning risk prediction models to triage the acuity of undifferentiated patients entering the emergency care system: a systematic review. SHILAP Revista de lepidopterología. 4(1). 16–16. 47 indexed citations

14.

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

15.

O’Cathain, Alicia, Richard Jacques, Tony Stone, & Janette Turner. (2018). Why do ambulance services have different non-transport rates? A national cross sectional study. PLoS ONE. 13(9). e0204508–e0204508. 26 indexed citations

16.

O’Cathain, Alicia, Emma Knowles, Joanne Coster, et al.. (2018). Understanding variation in ambulance service non-conveyance rates: a mixed methods study. SHILAP Revista de lepidopterología. 6(19). 1–192. 63 indexed citations

17.

Dickson, Jon M, et al.. (2018). Emergency hospital care for adults with suspected seizures in the NHS in England 2007–2013: a cross-sectional study. BMJ Open. 8(10). e023352–e023352. 40 indexed citations

18.

Iqbal, Ahmed, Lynne R. Prince, Peter Novodvorský, et al.. (2018). Effect of Hypoglycemia on Inflammatory Responses and the Response to Low-Dose Endotoxemia in Humans. The Journal of Clinical Endocrinology & Metabolism. 104(4). 1187–1199. 56 indexed citations

19.

Jones, Georgina, Jane Hughes, Neda Mahmoodi, et al.. (2017). Observational study of the development and evaluation of a fertility preservation patient decision aid for teenage and adult women diagnosed with cancer: the Cancer, Fertility and Me research protocol. BMJ Open. 7(3). e013219–e013219. 27 indexed citations

20.

Naylor, K.E., Richard Jacques, Margaret Paggiosi, et al.. (2015). Response of bone turnover markers to three oral bisphosphonate therapies in postmenopausal osteoporosis: the TRIO study. Osteoporosis International. 27(1). 21–31. 112 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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