Richard D Neal

13.6k total citations · 1 hit paper
221 papers, 7.7k citations indexed

About

Richard D Neal is a scholar working on Oncology, General Health Professions and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Richard D Neal has authored 221 papers receiving a total of 7.7k indexed citations (citations by other indexed papers that have themselves been cited), including 111 papers in Oncology, 50 papers in General Health Professions and 43 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Richard D Neal's work include Global Cancer Incidence and Screening (73 papers), Colorectal Cancer Screening and Detection (40 papers) and Primary Care and Health Outcomes (24 papers). Richard D Neal is often cited by papers focused on Global Cancer Incidence and Screening (73 papers), Colorectal Cancer Screening and Detection (40 papers) and Primary Care and Health Outcomes (24 papers). Richard D Neal collaborates with scholars based in United Kingdom, United States and Australia. Richard D Neal's co-authors include Victoria Allgar, William Hamilton, Fiona M Walter, Georgios Lyratzopoulos, Gary Abel, Clare Wilkinson, David Weller, Peter W. Rose, Gregory P. Rubin and Greg Rubin and has published in prestigious journals such as Nature Communications, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

In The Last Decade

Richard D Neal

208 papers receiving 7.4k 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.

The Aarhus statement: improving design and reporting of studies on early cancer diagnosis

2012 570 citations David Weller, Peter Vedsted et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Richard D Neal United Kingdom	46	3.7k	1.7k	1.2k	1.1k	930	221	7.7k
Georgios Lyratzopoulos United Kingdom	46	3.2k 0.9×	1.8k 1.0×	859 0.7×	902 0.8×	1.2k 1.3×	248	6.8k
Sarah T. Hawley United States	53	4.1k 1.1×	2.2k 1.3×	1.3k 1.1×	992 0.9×	1.4k 1.5×	272	8.8k
Katrina Armstrong United States	58	2.8k 0.8×	2.6k 1.5×	1.7k 1.4×	1.5k 1.3×	1.4k 1.5×	252	11.2k
Stephanie B. Wheeler United States	41	2.6k 0.7×	974 0.6×	973 0.8×	804 0.7×	1.3k 1.4×	323	6.0k
Jon Emery Australia	50	4.4k 1.2×	2.2k 1.3×	2.0k 1.7×	1.0k 0.9×	1.1k 1.2×	330	10.4k
Larry G. Kessler United States	44	3.1k 0.8×	1.3k 0.7×	877 0.8×	982 0.9×	1.1k 1.2×	171	8.5k
Jennifer J. Griggs United States	51	4.7k 1.3×	1.3k 0.7×	1.5k 1.3×	1.4k 1.3×	797 0.9×	232	9.3k
Bernard Rachet United Kingdom	43	5.2k 1.4×	908 0.5×	771 0.7×	1.2k 1.1×	1.4k 1.5×	210	8.2k
David Weller United Kingdom	41	3.9k 1.1×	1.4k 0.8×	1.2k 1.1×	1.4k 1.3×	626 0.7×	178	6.5k
Peter Vedsted Denmark	51	4.5k 1.2×	3.0k 1.7×	2.0k 1.7×	1.2k 1.1×	1.4k 1.5×	382	10.0k

Countries citing papers authored by Richard D Neal

Since Specialization

Citations

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

Fields of papers citing papers by Richard D Neal

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Richard D Neal

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

Kristunas, Caroline, Clare Davenport, Jonathan J Deeks, et al.. (2024). Symptom-triggered testing detects early stage and low volume resectable advanced stage ovarian cancer. International Journal of Gynecological Cancer. 36(1). 101848–101848. 2 indexed citations

Hendry, Annie, Daniel Walker, Nia Goulden, et al.. (2024). ‘ThinkCancer!’: randomised feasibility trial of a novel practice-based early cancer diagnosis intervention. BJGP Open. 8(3). BJGPO.2023.0220–BJGPO.2023.0220.

Hiscock, Julia, Rebecca‐Jane Law, Kate Brain, et al.. (2024). Hidden systems in primary care cancer detection: an embedded qualitative intervention development study. British Journal of General Practice. 74(745). e544–e551.

Bradley, Stephen H, Richard D Neal, Matthew Callister, et al.. (2024). General practice chest X-ray rate is associated with earlier lung cancer diagnosis and reduced all-cause mortality: a retrospective observational study. British Journal of General Practice. 75(754). e323–e332. 1 indexed citations

Bowcock, Stella, Catherine Atkin, Gulnaz Iqbal, et al.. (2023). Presenting Symptoms in Newly Diagnosed Myeloma, Relation to Organ Damage, and Implications for Symptom-Directed Screening: A Secondary Analysis from the Tackling Early Morbidity and Mortality in Myeloma (TEAMM) Trial. Cancers. 15(13). 3337–3337.

Baldwin, David, Richard Booton, Mike Darby, et al.. (2023). Measuring spirometry in a lung cancer screening cohort highlights possible underdiagnosis and misdiagnosis of COPD. ERJ Open Research. 9(4). 203–2023. 8 indexed citations

Savage, Richard S., Richard D Neal, C. Johnston, et al.. (2022). Development and validation of multivariable machine learning algorithms to predict risk of cancer in symptomatic patients referred urgently from primary care: a diagnostic accuracy study. BMJ Open. 12(4). e053590–e053590. 4 indexed citations

Goulden, Nia, Annie Hendry, Julia Hiscock, et al.. (2022). Earlier cancer diagnosis in primary care: a feasibility economic analysis of ThinkCancer!. BJGP Open. 7(1). BJGPO.2022.0130–BJGPO.2022.0130. 3 indexed citations

Achkar, Morhaf Al, Monica Zigman Suchsland, Fiona M Walter, et al.. (2021). Experiences along the diagnostic pathway for patients with advanced lung cancer in the USA: a qualitative study. BMJ Open. 11(4). e045056–e045056. 12 indexed citations

10.

Bradley, Paula, Nicola Hall, Gregory Maniatopoulos, et al.. (2021). Factors shaping the implementation and use of Clinical Cancer Decision Tools by GPs in primary care: a qualitative framework synthesis. BMJ Open. 11(2). e043338–e043338. 11 indexed citations

11.

Roberts, Jessica, Annie Hendry, Ruth Lewis, et al.. (2021). Protocol for a feasibility study incorporating a randomised pilot trial with an embedded process evaluation and feasibility economic analysis of ThinkCancer!: a primary care intervention to expedite cancer diagnosis in Wales. Pilot and Feasibility Studies. 7(1). 100–100. 3 indexed citations

12.

Atkin, Catherine, Gulnaz Iqbal, Tim Planche, et al.. (2020). Diagnostic pathways in multiple myeloma and their relationship to end organ damage: an analysis from the Tackling Early Morbidity and Mortality in Myeloma (TEAMM) trial. British Journal of Haematology. 192(6). 997–1005. 5 indexed citations

13.

Medina‐Lara, Antonieta, Ruth Lewis, Jaime Peters, et al.. (2020). Cancer diagnostic tools to aid decision-making in primary care: mixed-methods systematic reviews and cost-effectiveness analysis. Health Technology Assessment. 24(66). 1–332. 28 indexed citations

14.

Lewis, Ruth, Maggie Hendry, N Din, et al.. (2019). Pragmatic methods for reviewing exceptionally large bodies of evidence: systematic mapping review and overview of systematic reviews using lung cancer survival as an exemplar. Systematic Reviews. 8(1). 171–171. 10 indexed citations

15.

Weller, David, Peter Vedsted, Chantelle Anandan, et al.. (2016). An investigation of routes to cancer diagnosis in 10 international jurisdictions, as part of the International Cancer Benchmarking Partnership: survey development and implementation. BMJ Open. 6(7). e009641–e009641. 36 indexed citations

16.

Williams, Nefyn, John Belcher, Hossein Hassani, et al.. (2011). Activity Increase Despite Arthritis (AÏDA): phase II randomised controlled trial of an active management booklet for hip and knee osteoarthritis in primary care. British Journal of General Practice. 61(589). e452–e458. 19 indexed citations

17.

Williams, Nefyn, Kim Burton, Maggie Hendry, et al.. (2010). TheHip and Knee Book:developing an active management booklet for hip and knee osteoarthritis. British Journal of General Practice. 60(571). e64–e82. 13 indexed citations

18.

Al‐Azri, Mohammed, et al.. (2007). Continuity of Care : Literature review and implications. SHILAP Revista de lepidopterología. 9 indexed citations

19.

Ali, Nasreen, Karl Atkin, & Richard D Neal. (2006). The Role of Culture in the General Practice Consultation Process. Ethnicity and Health. 11(4). 389–408. 21 indexed citations

20.

Neal, Richard D. (1998). Conflict in General Practice. BMJ. 317(7173). 1665.1–1665.1. 1 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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