David Ford

6.6k total citations · 2 hit papers
76 papers, 2.2k citations indexed

About

David Ford is a scholar working on General Health Professions, Pathology and Forensic Medicine and Public Health, Environmental and Occupational Health. According to data from OpenAlex, David Ford has authored 76 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in General Health Professions, 13 papers in Pathology and Forensic Medicine and 13 papers in Public Health, Environmental and Occupational Health. Recurrent topics in David Ford's work include Multiple Sclerosis Research Studies (13 papers), Health disparities and outcomes (11 papers) and Ethics in Clinical Research (11 papers). David Ford is often cited by papers focused on Multiple Sclerosis Research Studies (13 papers), Health disparities and outcomes (11 papers) and Ethics in Clinical Research (11 papers). David Ford collaborates with scholars based in United Kingdom, Australia and Canada. David Ford's co-authors include Kerina Jones, Ronan A Lyons, Caroline Brooks, Gareth John, Simon Thompson, Rod Middleton, Ann John, J. Gareth Noble, Hazel Lockhart-Jones and Lisa A. Osborne and has published in prestigious journals such as The Lancet, Nature Medicine and PLoS ONE.

In The Last Decade

David Ford

73 papers receiving 2.2k 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 SAIL databank: linking multiple health and social care datasets

2009 448 citations Ronan A Lyons, Kerina Jones et al. profile →
The SAIL Databank: building a national architecture for e-health research and evaluation

2009 405 citations David Ford, Kerina Jones et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
David Ford United Kingdom	20	532	421	416	328	313	76	2.2k
Ilmo Keskimäki Finland	29	867 1.6×	326 0.8×	315 0.8×	277 0.8×	305 1.0×	162	2.9k
Daniel Hind United Kingdom	36	655 1.2×	355 0.8×	475 1.1×	477 1.5×	151 0.5×	155	5.2k
Shailesh Advani United States	26	546 1.0×	298 0.7×	289 0.7×	229 0.7×	308 1.0×	91	3.2k
Mona Jeffreys United Kingdom	31	434 0.8×	183 0.4×	278 0.7×	554 1.7×	274 0.9×	104	3.2k
Ora L. Strickland United States	22	612 1.2×	317 0.8×	288 0.7×	581 1.8×	170 0.5×	67	3.6k
Ruth Lewis United Kingdom	29	644 1.2×	227 0.5×	385 0.9×	765 2.3×	153 0.5×	90	3.1k
Beth A. Glenn United States	30	612 1.2×	168 0.4×	975 2.3×	360 1.1×	528 1.7×	101	3.1k
Lynette Lim Australia	28	681 1.3×	211 0.5×	412 1.0×	372 1.1×	236 0.8×	64	3.1k
Anneliese Synnot Australia	30	730 1.4×	144 0.3×	779 1.9×	511 1.6×	265 0.8×	56	3.1k
Beverly Rockhill United States	23	499 0.9×	230 0.5×	339 0.8×	810 2.5×	233 0.7×	31	3.5k

Countries citing papers authored by David Ford

Since Specialization

Citations

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

Fields of papers citing papers by David Ford

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Ford

This figure shows the co-authorship network connecting the top 25 collaborators of David Ford. A scholar is included among the top collaborators of David Ford 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 David Ford. David Ford 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:

20 of 20 papers shown

Torabi, Fatemeh, et al.. (2024). A common framework for health data governance standards. Nature Medicine. 30(1). 26–29. 5 indexed citations

Cockburn, Neil, Stevo Durbaba, Arturo González-Izquierdo, et al.. (2024). Mother and Infant Research Electronic Data Analysis (MIREDA): A protocol for creating a common data model for federated analysis of UK birth cohorts and the life course. International Journal for Population Data Science. 9(2). 2406–2406.

Holt, Hayley, Clare Relton, Mohammad Talaei, et al.. (2022). Cohort Profile: Longitudinal population-based study of COVID-19 in UK adults (COVIDENCE UK). International Journal of Epidemiology. 52(1). e46–e56. 7 indexed citations

Johnson, Rhodri, Laura North, Bachar Alrouh, et al.. (2022). A population level study into health vulnerabilities of mothers and fathers involved in public law care proceedings in Wales, UK between 2011 and 2019. International Journal for Population Data Science. 7(1). 1723–1723. 2 indexed citations

Elliott, Martin, et al.. (2022). Data Resource: Children Receiving Care and Support and Children in Need, administrative records in Wales.. International Journal for Population Data Science. 7(1). 1694–1694. 7 indexed citations

Griffiths, Lucy, Joanna McGregor, Theodora Pouliou, et al.. (2022). Anxiety and depression among children and young people involved in family justice court proceedings: longitudinal national data linkage study. BJPsych Open. 8(2). e47–e47. 3 indexed citations

Jones, Kerina, et al.. (2021). Exploring the Use of Genomic and Routinely Collected Data: Narrative Literature Review and Interview Study. Journal of Medical Internet Research. 23(9). e15739–e15739. 7 indexed citations

Garjani, Afagh, Rachael Hunter, Graham Law, et al.. (2021). Mental health of people with multiple sclerosis during the COVID-19 outbreak: A prospective cohort and cross-sectional case–control study of the UK MS Register. Multiple Sclerosis Journal. 28(7). 1060–1071. 20 indexed citations

Jones, Kerina, et al.. (2020). Toward a Risk-Utility Data Governance Framework for Research Using Genomic and Phenotypic Data in Safe Havens: Multifaceted Review. Journal of Medical Internet Research. 22(5). e16346–e16346. 8 indexed citations

10.

Middleton, Rod, Owen Pearson, Gillian Ingram, et al.. (2020). A Rapid Electronic Cognitive Assessment Measure for Multiple Sclerosis: Validation of Cognitive Reaction, an Electronic Version of the Symbol Digit Modalities Test. Journal of Medical Internet Research. 22(9). e18234–e18234. 13 indexed citations

11.

Griffiths, Lucy, Richard D. Johnson, Karen Broadhurst, et al.. (2020). Maternal health, pregnancy and birth outcomes for women involved in care proceedings in Wales: a linked data study. BMC Pregnancy and Childbirth. 20(1). 697–697. 20 indexed citations

12.

Jones, Kerina, et al.. (2019). Public Views on Models for Accessing Genomic and Health Data for Research: Mixed Methods Study. Journal of Medical Internet Research. 21(8). e14384–e14384. 8 indexed citations

13.

Fonferko‐Shadrach, Beata, Arron Lacey, Angus Roberts, et al.. (2019). Using natural language processing to extract structured epilepsy data from unstructured clinic letters: development and validation of the ExECT (extraction of epilepsy clinical text) system. BMJ Open. 9(4). e023232–e023232. 41 indexed citations

14.

Jones, Kerina, et al.. (2018). Public Views on Using Mobile Phone Call Detail Records in Health Research: Qualitative Study. JMIR mhealth and uhealth. 7(1). e11730–e11730. 5 indexed citations

15.

Jones, Kerina, et al.. (2018). Toward an Ethically Founded Framework for the Use of Mobile Phone Call Detail Records in Health Research. JMIR mhealth and uhealth. 7(3). e11969–e11969. 11 indexed citations

16.

Jones, Kerina, et al.. (2018). Challenges and Potential Opportunities of Mobile Phone Call Detail Records in Health Research: Review. JMIR mhealth and uhealth. 6(7). e161–e161. 23 indexed citations

17.

Middleton, Rod, Jeff Rodgers, Gavin Giovannoni, et al.. (2017). A Comparison of participant supplied EDSS scores and clinically submitted data via the UK MS Register. Cronfa (Swansea University). 15 indexed citations

18.

Lloyd, Keith, Joanna McGregor, Ann John, et al.. (2015). A national population-based e-cohort of people with psychosis (PsyCymru) linking prospectively ascertained phenotypically rich and genetic data to routinely collected records: Overview, recruitment and linkage. Schizophrenia Research. 166(1-3). 131–136. 14 indexed citations

19.

Ford, David & Jeff Hearn. (1989). Studying men and masculinity A sourcebook of literature and materials. OpenGrey (Institut de l'Information Scientifique et Technique). 1 indexed citations

20.

Ford, David, et al.. (1961). REQUIREMENTS, CRITERIA, AND MEASURES OF PERFORMANCE OF INFORMATION STORAGE AND RETRIEVAL SYSTEMS. Defense Technical Information Center (DTIC). 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