Jon Emery

17.3k total citations · 5 hit papers
330 papers, 10.4k citations indexed

About

Jon Emery is a scholar working on Oncology, General Health Professions and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Jon Emery has authored 330 papers receiving a total of 10.4k indexed citations (citations by other indexed papers that have themselves been cited), including 189 papers in Oncology, 83 papers in General Health Professions and 65 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Jon Emery's work include Global Cancer Incidence and Screening (104 papers), Colorectal Cancer Screening and Detection (70 papers) and BRCA gene mutations in cancer (53 papers). Jon Emery is often cited by papers focused on Global Cancer Incidence and Screening (104 papers), Colorectal Cancer Screening and Detection (70 papers) and BRCA gene mutations in cancer (53 papers). Jon Emery collaborates with scholars based in Australia, United Kingdom and United States. Jon Emery's co-authors include Fiona M Walter, Stephen Sutton, Suzanne E. Scott, Dejana Braithwaite, Andrew Webster, Simon Sanderson, Ann Louise Kinmonth, William Hamilton, Julian P. T. Higgins and Simon de Lusignan and has published in prestigious journals such as The Lancet, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

In The Last Decade

Jon Emery

307 papers receiving 10.1k 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.

Designing and evaluating complex interventions to improve health care

2007 971 citations Jon Emery et al. profile →
The Aarhus statement: improving design and reporting of studies on early cancer diagnosis

2012 570 citations David Weller, Peter Vedsted et al. profile →
The Andersen Model of Total Patient Delay: A Systematic Review of Its Application in Cancer Diagnosis

2011 388 citations Fiona M Walter, Suzanne E. Scott et al. profile →
Artificial intelligence and machine learning algorithms for early detection of skin cancer in community and primary care settings: a systematic review

2022 149 citations Jon Emery, Fiona M Walter et al. profile →
Improved models of care for cancer survivors

2022 129 citations Jon Emery et al. profile →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Jon Emery	4.4k	2.2k	2.0k	1.5k	1.1k	330	10.4k
Katrina Armstrong	2.8k 0.6×	2.6k 1.2×	1.7k 0.8×	2.5k 1.6×	1.4k 1.3×	252	11.2k
Rebecca A. Silliman	4.0k 0.9×	1.7k 0.7×	1.2k 0.6×	1.1k 0.7×	1.2k 1.0×	177	9.7k
Jennifer S. Haas	2.3k 0.5×	3.1k 1.4×	2.0k 1.0×	695 0.5×	1.7k 1.5×	229	10.7k
Timothy L. Lash	3.6k 0.8×	973 0.4×	1.6k 0.8×	1.6k 1.0×	1.2k 1.0×	348	15.0k
Electra D. Paskett	8.4k 1.9×	2.8k 1.2×	3.0k 1.5×	1.5k 1.0×	1.3k 1.1×	476	15.5k
Steven S. Coughlin	4.5k 1.0×	2.1k 1.0×	1.5k 0.8×	714 0.5×	661 0.6×	306	11.7k
Emily Banks	2.5k 0.6×	1.3k 0.6×	2.3k 1.1×	1.6k 1.0×	639 0.6×	301	11.1k
Linda Sharp	4.6k 1.0×	1.2k 0.5×	1.6k 0.8×	729 0.5×	1.5k 1.3×	449	11.3k
Sally W. Vernon	9.5k 2.2×	3.1k 1.4×	1.7k 0.9×	1.7k 1.1×	1.1k 1.0×	297	15.5k
Jeanne S. Mandelblatt	9.9k 2.2×	2.7k 1.2×	1.9k 0.9×	1.6k 1.1×	2.0k 1.7×	292	15.8k

Countries citing papers authored by Jon Emery

Since Specialization

Citations

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

Fields of papers citing papers by Jon Emery

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jon Emery

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

Rafiq, Meena, Jasper de Boer, Jayesh Desai, et al.. (2024). Clinical activity in general practice before sarcoma diagnosis: an Australian cohort study. British Journal of General Practice. 74(745). e508–e516. 2 indexed citations

Zajdlewicz, Leah, Sarah Kelly, Anna Stiller, et al.. (2024). What are the mechanisms underlying the delivery of survivorship care information in Australia? A realist review. Psycho-Oncology. 33(3). e6321–e6321.

Pearce, Alison, et al.. (2024). Patient preferences for investigating cancer-related symptoms in Australian general practice: a discrete-choice experiment. British Journal of General Practice. 74(745). e517–e526. 1 indexed citations

Archer, Stephanie, Tim Carver, Alex Cunningham, et al.. (2023). Exploring the barriers to and facilitators of implementing CanRisk in primary care: a qualitative thematic framework analysis. British Journal of General Practice. 73(733). e586–e596. 7 indexed citations

Chan, Francis K.L., Martin C. S. Wong, Andrew T. Chan, et al.. (2023). Joint Asian Pacific Association of Gastroenterology (APAGE)–Asian Pacific Society of Digestive Endoscopy (APSDE) clinical practice guidelines on the use of non-invasive biomarkers for diagnosis of colorectal neoplasia. Gut. 72(7). 1240–1254. 12 indexed citations

Milton, Shakira, et al.. (2022). The SYMPTOM‐upper gastrointestinal study: A mixed methods study exploring symptom appraisal and help‐seeking in Australian upper gastrointestinal cancer patients. European Journal of Cancer Care. 31(5). e13605–e13605. 3 indexed citations

Hersch, Jolyn, Monika Janda, Rachael L. Morton, et al.. (2022). Perspectives and Experiences of Patient-Led Melanoma Surveillance Using Digital Technologies From Clinicians Involved in the MEL-SELF Pilot Randomized Controlled Trial: Qualitative Interview Study. JMIR Dermatology. 5(4). e40623–e40623. 3 indexed citations

Yates, Patsy, Rob Carter, Anita Lal, et al.. (2022). Evaluating a multicomponent survivorship programme for men with prostate cancer in Australia: a single cohort study. BMJ Open. 12(2). e049802–e049802. 3 indexed citations

Degeling, Koen, Nancy N. Baxter, Jon Emery, et al.. (2021). An inverse stage‐shift model to estimate the excess mortality and health economic impact of delayed access to cancer services due to the COVID‐19 pandemic. Asia-Pacific Journal of Clinical Oncology. 17(4). 359–367. 56 indexed citations

10.

Yates, Patsy, Rob Carter, Anne Magnus, et al.. (2021). An integrated multicomponent care model for men affected by prostate cancer: A feasibility study of TrueNTH Australia. Psycho-Oncology. 30(9). 1544–1554. 5 indexed citations

11.

Segelov, Eva, Sanchia Aranda, David C. Currow, et al.. (2021). Developing clinical indicators for oncology: the inaugural cancer care indicator set for the Australian Council on Healthcare Standards. The Medical Journal of Australia. 214(11). 528–531. 3 indexed citations

12.

Saunders, Catherine L., Britt Kilian, Deborah J. Thompson, et al.. (2020). External Validation of Risk Prediction Models Incorporating Common Genetic Variants for Incident Colorectal Cancer Using UK Biobank. Cancer Prevention Research. 13(6). 509–520. 18 indexed citations

13.

Helsper, Charles W., Christine Campbell, Jon Emery, et al.. (2020). Cancer has not gone away: A primary care perspective to support a balanced approach for timely cancer diagnosis during COVID‐19. European Journal of Cancer Care. 29(5). e13290–e13290. 50 indexed citations

14.

Mazza, Danielle, Martha Hickey, Louise Keogh, et al.. (2020). Motivators of Inappropriate Ovarian Cancer Screening: A Survey of Women and Their Clinicians. JNCI Cancer Spectrum. 5(1). 3 indexed citations

15.

Dillon, Mary, Louisa Flander, Daniel D. Buchanan, et al.. (2018). Family history–based colorectal cancer screening in Australia: A modelling study of the costs, benefits, and harms of different participation scenarios. PLoS Medicine. 15(8). e1002630–e1002630. 7 indexed citations

16.

Campbell, Christine, Fiona M Walter, Suzanne E. Scott, et al.. (2018). The Aarhus statement on cancer diagnostic research: turning recommendations into new survey instruments. BMC Health Services Research. 18(1). 677–677. 27 indexed citations

17.

Collins, Ian, Mathias Bressel, Phyllis Butow, et al.. (2018). The iPrevent Online Breast Cancer Risk Assessment and Risk Management Tool: Usability and Acceptability Testing. JMIR Formative Research. 2(2). e24–e24. 13 indexed citations

18.

Yelland, Michael, et al.. (2016). Low-Level Laser Therapy for Chronic Non-Specific Low Back Pain: A Meta-Analysis of Randomised Controlled Trials. Acupuncture in Medicine. 34(5). 328–341. 84 indexed citations

19.

Usher‐Smith, Juliet A., Fiona M Walter, Jon Emery, Aung Ko Win, & Simon J. Griffin. (2015). Risk Prediction Models for Colorectal Cancer: A Systematic Review. Cancer Prevention Research. 9(1). 13–26. 125 indexed citations

20.

Usher‐Smith, Juliet A., Jon Emery, Angelos P. Kassianos, & Fiona M Walter. (2014). Risk Prediction Models for Melanoma: A Systematic Review. Cancer Epidemiology Biomarkers & Prevention. 23(8). 1450–1463. 90 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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