Daniel Dedman

2.4k total citations · 1 hit paper
36 papers, 1.5k citations indexed

About

Daniel Dedman is a scholar working on Epidemiology, Pulmonary and Respiratory Medicine and Oncology. According to data from OpenAlex, Daniel Dedman has authored 36 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Epidemiology, 8 papers in Pulmonary and Respiratory Medicine and 7 papers in Oncology. Recurrent topics in Daniel Dedman's work include Chronic Disease Management Strategies (4 papers), Prostate Cancer Diagnosis and Treatment (4 papers) and Chronic Obstructive Pulmonary Disease (COPD) Research (4 papers). Daniel Dedman is often cited by papers focused on Chronic Disease Management Strategies (4 papers), Prostate Cancer Diagnosis and Treatment (4 papers) and Chronic Obstructive Pulmonary Disease (COPD) Research (4 papers). Daniel Dedman collaborates with scholars based in United Kingdom, United States and Netherlands. Daniel Dedman's co-authors include Jennifer Campbell, Puja Myles, Achim Wolf, Darren Lunn, Jennifer Chapman, Helen Booth, David E. Neal, Freddie C. Hamdy, Jenny Donovan and J. Athene Lane and has published in prestigious journals such as Biochemical Journal, The Lancet Oncology and Journal of Bone and Mineral Research.

In The Last Decade

Daniel Dedman

33 papers receiving 1.5k 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.

Data resource profile: Clinical Practice Research Datalink (CPRD) Aurum

2019 488 citations Achim Wolf, Daniel Dedman et al. International Journal of Epidemiology profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Daniel Dedman United Kingdom	16	441	339	207	197	172	36	1.5k
Luigi Napolitano Italy	21	320 0.7×	425 1.3×	290 1.4×	142 0.7×	115 0.7×	103	1.5k
Kamal Sud Australia	26	340 0.8×	381 1.1×	377 1.8×	151 0.8×	264 1.5×	143	2.6k
John H. Page United States	23	238 0.5×	250 0.7×	191 0.9×	524 2.7×	203 1.2×	63	1.5k
Atiporn Ingsathit Thailand	26	231 0.5×	406 1.2×	239 1.2×	89 0.5×	161 0.9×	93	2.0k
Naji Younes United States	21	817 1.9×	302 0.9×	326 1.6×	156 0.8×	181 1.1×	60	2.4k
Xiangdong Guan China	19	258 0.6×	452 1.3×	233 1.1×	192 1.0×	455 2.6×	84	1.6k
Nathanaël Lapidus France	20	270 0.6×	337 1.0×	273 1.3×	124 0.6×	234 1.4×	68	1.2k
Beth Woods United Kingdom	15	233 0.5×	179 0.5×	191 0.9×	225 1.1×	142 0.8×	59	1.5k
Krishan Lal Gupta India	23	409 0.9×	386 1.1×	191 0.9×	65 0.3×	318 1.8×	111	2.1k
Cengiz Utaş Türkiye	22	320 0.7×	288 0.8×	306 1.5×	94 0.5×	126 0.7×	112	1.8k

Countries citing papers authored by Daniel Dedman

Since Specialization

Citations

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

Fields of papers citing papers by Daniel Dedman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Dedman

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

Sánchez-Santos, María T., Eleanor L. Axson, Daniel Dedman, & Antonella Delmestri. (2025). Data Resource Profile Update: CPRD GOLD. International Journal of Epidemiology. 54(4). 1 indexed citations

Booth, Helen, John Connelly, Daniel Dedman, Katherine Donegan, & Alison Cave. (2025). A Regulatory Perspective on a UK Federated Data Network for Medicines and Medical Devices: Lessons from a ‘Study-A-Thon’. Therapeutic Innovation & Regulatory Science. 60(1). 1–7.

Dedman, Daniel, Rachael Williams, Krishnan Bhaskaran, & Ian Douglas. (2024). Pooling of primary care electronic health record (EHR) data on Huntington’s disease (HD) and cancer: establishing comparability of two large UK databases. BMJ Open. 14(2). e070258–e070258.

Robinson, Danielle E, M. Sanni Ali, Victoria Y. Strauss, et al.. (2021). Bisphosphonates to reduce bone fractures in stage 3B+ chronic kidney disease: a propensity score-matched cohort study. Health Technology Assessment. 25(17). 1–106. 3 indexed citations

Arana, Alejandro, Anton Pottegård, Josephina G. Kuiper, et al.. (2021). Long-Term Risk of Skin Cancer and Lymphoma in Users of Topical Tacrolimus and Pimecrolimus: Final Results from the Extension of the Cohort Study Protopic Joint European Longitudinal Lymphoma and Skin Cancer Evaluation (JOELLE). Clinical Epidemiology. Volume 13. 1141–1153. 19 indexed citations

Dedman, Daniel, et al.. (2021). The Utilization and Safety of Umeclidinium and Umeclidinium/Vilanterol in UK Primary Care: A Retrospective Cohort Study. International Journal of COPD. Volume 16. 629–642. 2 indexed citations

Dedman, Daniel, Melissa Cabecinha, Rachael Williams, et al.. (2020). Approaches for combining primary care electronic health record data from multiple sources: a systematic review of observational studies. BMJ Open. 10(10). e037405–e037405. 1 indexed citations

Wolf, Achim, Rachael Williams, Daniel Dedman, et al.. (2020). Feasibility of using Clinical Practice Research Datalink data to identify patients with chronic obstructive pulmonary disease to enrol into real‐world trials. Pharmacoepidemiology and Drug Safety. 30(4). 472–481. 5 indexed citations

Heintjes, Edith M., Irene D. Bezemer, Daniel Prieto‐Alhambra, et al.. (2020). <p>Evaluating the Effectiveness of an Additional Risk Minimization Measure to Reduce the Risk of Prescribing Mirabegron to Patients with Severe Uncontrolled Hypertension in Four European Countries</p>. Clinical Epidemiology. Volume 12. 423–433. 3 indexed citations

10.

Dedman, Daniel, Sonia Coton, Rebecca Ghosh, et al.. (2019). Treatment Patterns of New Users of Fluticasone Furoate/Vilanterol in Asthma and COPD in UK Primary Care: Retrospective Cohort Study. Pulmonary Therapy. 5(1). 81–95. 2 indexed citations

11.

Kuiper, Josephina G., Myrthe P. P. van Herk‐Sukel, Jordi Castellsagué, et al.. (2018). Use of Topical Tacrolimus and Topical Pimecrolimus in Four European Countries: A Multicentre Database Cohort Study. Drugs - Real World Outcomes. 5(2). 109–116. 1 indexed citations

12.

Caskey, Fergus, Antonella Delmestri, Daniel Dedman, et al.. (2017). Oral bisphosphonate use and risk of acute Kidney Injury, gastrointestinal events and hypocalcaemia in patients with moderate-advanced chronic kidney disease: a population-based cohort study.. Journal of Bone and Mineral Research. 32. 2 indexed citations

13.

Kuiper, JG, Jordi Castellsagué, Anton Pottegård, et al.. (2016). Utilization of Topical Tacrolimus and Topical Pimecrolimus in Europe: Results From The Joint European Longitudinal Lymphoma and Skin Cancer Evaluation (Joelle) Study. Value in Health. 19(7). A573–A573. 1 indexed citations

14.

Lusignan, Simon de, et al.. (2015). An algorithm to improve diagnostic accuracy in diabetes in computerised problem orientated medical records (POMR) compared with an established algorithm developed in episode orientated records (EOMR). Journal of Innovation in Health Informatics. 22(2). 255–264. 19 indexed citations

15.

Lane, J. Athene, Jenny Donovan, Michael Davis, et al.. (2014). Active monitoring, radical prostatectomy, or radiotherapy for localised prostate cancer: study design and diagnostic and baseline results of the ProtecT randomised phase 3 trial. The Lancet Oncology. 15(10). 1109–1118. 135 indexed citations

16.

Ellis, Beverley, et al.. (2011). Perceptions on the quality of records received via the GP2GPelectronic transfer service: pilot online questionnaire study. Journal of Innovation in Health Informatics. 19(4). 233–240.

17.

Rosario, Derek J., J. Athene Lane, Chris Metcalfe, et al.. (2007). Contribution of a Single Repeat PSA Test to Prostate Cancer Risk Assessment: Experience from the ProtecT Study. European Urology. 53(4). 777–784. 19 indexed citations

18.

Brindle, Lucy, Steven Oliver, Daniel Dedman, et al.. (2006). Measuring the psychosocial impact of population‐based prostate‐specific antigen testing for prostate cancer in the UK. British Journal of Urology. 98(4). 777–782. 37 indexed citations

19.

Dedman, Daniel, H. Laurichesse, E O Caul, & Patrick Wall. (1998). Surveillance of small round structured virus (SRSV) infection in England and Wales, 1990–5. Epidemiology and Infection. 121(1). 139–149. 67 indexed citations

20.

Joseph, C A, Eleanor Hutchinson, Daniel Dedman, et al.. (1991). Legionnaires' disease surveillance: England and Wales 1994.. PubMed. 1(12). R180–3. 14 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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