David Sunkersing

7.5k total citations · 1 hit paper
13 papers, 97 citations indexed

About

David Sunkersing is a scholar working on General Health Professions, Applied Psychology and Neurology. According to data from OpenAlex, David Sunkersing has authored 13 papers receiving a total of 97 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in General Health Professions, 7 papers in Applied Psychology and 4 papers in Neurology. Recurrent topics in David Sunkersing's work include Digital Mental Health Interventions (7 papers), Mobile Health and mHealth Applications (6 papers) and Long-Term Effects of COVID-19 (4 papers). David Sunkersing is often cited by papers focused on Digital Mental Health Interventions (7 papers), Mobile Health and mHealth Applications (6 papers) and Long-Term Effects of COVID-19 (4 papers). David Sunkersing collaborates with scholars based in United Kingdom and Denmark. David Sunkersing's co-authors include Manuel Gomes, Ann Blandford, Paul Pfeffer, Sarah Walker, Fiona Stevenson, Henry Goodfellow, John R. Hurst, Katherine Bradbury, William Henley and Elizabeth Murray and has published in prestigious journals such as The Lancet, SHILAP Revista de lepidopterología and BMJ Open.

In The Last Decade

David Sunkersing

10 papers receiving 94 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.

Impact of fatigue as the primary determinant of functional limitations among patients with post-COVID-19 syndrome: a cross-sectional observational study

2023 69 citations Sarah Walker, Henry Goodfellow et al. BMJ Open profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
David Sunkersing United Kingdom	4	75	44	26	24	15	13	97
Anita Saigal United Kingdom	5	58 0.8×	62 1.4×	22 0.8×	10 0.4×	22 1.5×	13	135
Camilla Falcinella Italy	3	97 1.3×	90 2.0×	26 1.0×	22 0.9×	7 0.5×	5	121
Giovanni Mulè Italy	4	97 1.3×	90 2.0×	26 1.0×	22 0.9×	7 0.5×	8	129
E. Gattoni Italy	5	32 0.4×	60 1.4×	12 0.5×	28 1.2×	9 0.6×	16	110
Diletta Barbanotti Italy	4	97 1.3×	90 2.0×	26 1.0×	22 0.9×	7 0.5×	5	139
Roberto Castoldi Italy	2	99 1.3×	90 2.0×	26 1.0×	22 0.9×	7 0.5×	4	116
Daniele Tomasoni Italy	3	98 1.3×	92 2.1×	26 1.0×	22 0.9×	7 0.5×	5	139
Amalia Jona Italy	4	29 0.4×	43 1.0×	11 0.4×	28 1.2×	4 0.3×	7	82
Mark Cranley United Kingdom	6	89 1.2×	47 1.1×	23 0.9×	27 1.1×	4 0.3×	9	106
Víctor Puente‐Periz Spain	3	30 0.4×	38 0.9×	10 0.4×	38 1.6×	14 0.9×	3	100

Countries citing papers authored by David Sunkersing

Since Specialization

Citations

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

Fields of papers citing papers by David Sunkersing

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Sunkersing

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

All Works

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13 of 13 papers shown

Blandford, Ann, Katherine Bradbury, Enrico Costanza, et al.. (2025). Experiences of user-centred design with agile development for clinically supported self-management of Long Covid. ACM Transactions on Computer-Human Interaction.

Sunkersing, David, Manoj Mistry, Wasim Hanif, et al.. (2025). Recommendations for improving accessibility of digital health interventions for cardiometabolic disease for ethnically diverse populations. Digital Health. 11. 599916312–599916312. 1 indexed citations

Sunkersing, David, Lydia Poole, Ann Blandford, et al.. (2025). Healthcare professionals’ attitudes towards digital health interventions and perspectives on digital health inequalities in cardiometabolic care: a qualitative study. BMJ Open. 15(2). e091018–e091018. 3 indexed citations

Sunkersing, David, Lydia Poole, Kiran Patel, et al.. (2024). “If it all goes digital, we’ll have to learn”: facilitators and barriers to uptake of digital health in British South Asians with cardiometabolic disease. SHILAP Revista de lepidopterología. 2(1). 4 indexed citations

Goodfellow, Henry, Sarah Walker, Ann Blandford, et al.. (2024). Trajectories of functional limitations, health-related quality of life and societal costs in individuals with long COVID: a population-based longitudinal cohort study. BMJ Open. 14(11). e088538–e088538. 4 indexed citations

Sunkersing, David, et al.. (2024). What is current care for people with Long COVID in England? A qualitative interview study. BMJ Open. 14(5). e080967–e080967. 9 indexed citations

Sunkersing, David, et al.. (2024). Long COVID symptoms and demographic associations: A retrospective case series study using healthcare application data. JRSM Open. 15(7). 218557876–218557876. 1 indexed citations

Stevenson, Fiona, Paul Pfeffer, Sarah Walker, et al.. (2024). Using normalisation process theory to evaluate the implementation of a digital health intervention in community and secondary care long COVID clinics. BMJ Open. 14(11). e092824–e092824.

Sunkersing, David, Paramjit Gill, Kamlesh Khunti, et al.. (2024). Uptake of Digital Health Interventions for Cardiometabolic Disease in British South Asian Individuals: Think Aloud Study. JMIR Human Factors. 11. e57338–e57338. 2 indexed citations

10.

Walker, Sarah, Henry Goodfellow, Elizabeth Murray, et al.. (2023). Impact of fatigue as the primary determinant of functional limitations among patients with post-COVID-19 syndrome: a cross-sectional observational study. BMJ Open. 13(6). e069217–e069217. 69 indexed citations breakdown →

11.

Sunkersing, David, et al.. (2023). Understanding ethnic inequalities in the design and implementation of digital health interventions for cardiometabolic disease: a qualitative study. The Lancet. 402. S78–S78. 3 indexed citations

12.

Sunkersing, David, Finbarr C. Martin, Paul Sullivan, & Derek Bell. (2022). Care and support networks of community-dwelling frail individuals in North West London: a comparison of patient and healthcare workers’ perceptions. BMC Geriatrics. 22(1). 953–953.

13.

Sunkersing, David, et al.. (2019). What do care home managers believe constitutes an ‘assessment for frailty’ of care home residents in North-West London? A survey. BMC Geriatrics. 19(1). 62–62. 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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