Hazel Lockhart-Jones

506 total citations
10 papers, 371 citations indexed

About

Hazel Lockhart-Jones is a scholar working on Pathology and Forensic Medicine, General Health Professions and Sociology and Political Science. According to data from OpenAlex, Hazel Lockhart-Jones has authored 10 papers receiving a total of 371 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Pathology and Forensic Medicine, 3 papers in General Health Professions and 2 papers in Sociology and Political Science. Recurrent topics in Hazel Lockhart-Jones's work include Multiple Sclerosis Research Studies (6 papers), Health Literacy and Information Accessibility (2 papers) and Polyomavirus and related diseases (2 papers). Hazel Lockhart-Jones is often cited by papers focused on Multiple Sclerosis Research Studies (6 papers), Health Literacy and Information Accessibility (2 papers) and Polyomavirus and related diseases (2 papers). Hazel Lockhart-Jones collaborates with scholars based in United Kingdom. Hazel Lockhart-Jones's co-authors include Rod Middleton, David Ford, J. Gareth Noble, Kerina Jones, Lisa A. Osborne, Philip A. Jones, Ann John, Jeffrey Peng, Ronan A Lyons and Inocencio Maramba and has published in prestigious journals such as PLoS ONE, Journal of Neurology Neurosurgery & Psychiatry and BMC Medical Informatics and Decision Making.

In The Last Decade

Hazel Lockhart-Jones

9 papers receiving 363 citations

Peers

Hazel Lockhart-Jones
Jennifer Smrtka United States
Lisa Grech Australia
Craig Hillier United Kingdom
Marie Namey United States
Glynnis Clarke New Zealand
Jennifer Smrtka United States
Hazel Lockhart-Jones
Citations per year, relative to Hazel Lockhart-Jones Hazel Lockhart-Jones (= 1×) peers Jennifer Smrtka

Countries citing papers authored by Hazel Lockhart-Jones

Since Specialization
Citations

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

Fields of papers citing papers by Hazel Lockhart-Jones

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hazel Lockhart-Jones. 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 Hazel Lockhart-Jones. The network helps show where Hazel Lockhart-Jones may publish in the future.

Co-authorship network of co-authors of Hazel Lockhart-Jones

This figure shows the co-authorship network connecting the top 25 collaborators of Hazel Lockhart-Jones. A scholar is included among the top collaborators of Hazel Lockhart-Jones 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 Hazel Lockhart-Jones. Hazel Lockhart-Jones is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
1.
Lockhart-Jones, Hazel, et al.. (2025). Enabling Federated Access to Administrative Data and Beyond. International Journal for Population Data Science. 10(4).
2.
Middleton, Rod, Klaus Schmierer, C Michael Roberts, et al.. (2019). 175 A model for participant engagement in research: the MS register. Journal of Neurology Neurosurgery & Psychiatry. 90(12). e46.3–e46. 1 indexed citations
3.
Middleton, Rod, Ashley Akbari, Hazel Lockhart-Jones, et al.. (2017). Clinical Validation of the UKMS Register Minimal Dataset utilising Natural Language Processing. International Journal for Population Data Science. 1(1). 1 indexed citations
4.
Jones, Kerina, Philip A. Jones, Rod Middleton, et al.. (2014). Physical Disability, Anxiety and Depression in People with MS: An Internet-Based Survey via the UK MS Register. PLoS ONE. 9(8). e104604–e104604. 55 indexed citations
5.
Jones, Kerina, David Ford, Philip A. Jones, et al.. (2013). How People with Multiple Sclerosis Rate Their Quality of Life: An EQ-5D Survey via the UK MS Register. PLoS ONE. 8(6). e65640–e65640. 68 indexed citations
6.
Jones, Kerina, David Ford, Philip A. Jones, et al.. (2013). The Physical and Psychological Impact of Multiple Sclerosis Using the MSIS-29 via the Web Portal of the UK MS Register. PLoS ONE. 8(1). e55422–e55422. 29 indexed citations
7.
Osborne, Lisa A., Hazel Lockhart-Jones, Rod Middleton, et al.. (2013). Identifying and Addressing the Barriers to the Use of an Internet-Register for Multiple Sclerosis. International Journal of Healthcare Information Systems and Informatics. 8(1). 1–16. 3 indexed citations
8.
Jones, Kerina, David Ford, Philip A. Jones, et al.. (2012). A Large-Scale Study of Anxiety and Depression in People with Multiple Sclerosis: A Survey via the Web Portal of the UK MS Register. PLoS ONE. 7(7). e41910–e41910. 144 indexed citations
9.
Ford, David, Kerina Jones, Rod Middleton, et al.. (2012). The feasibility of collecting information from people with Multiple Sclerosis for the UK MS Register via a web portal: characterising a cohort of people with MS. BMC Medical Informatics and Decision Making. 12(1). 73–73. 56 indexed citations
10.
Osborne, Lisa A., J. Gareth Noble, Hazel Lockhart-Jones, et al.. (2012). Sources of Discovery, Reasons for Registration, and Expectations of an Internet-Based Register for Multiple Sclerosis. International Journal of Healthcare Information Systems and Informatics. 7(3). 27–43. 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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