David Shukla

875 total citations · 1 hit paper
10 papers, 210 citations indexed

About

David Shukla is a scholar working on Surgery, General Health Professions and Public Health, Environmental and Occupational Health. According to data from OpenAlex, David Shukla has authored 10 papers receiving a total of 210 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Surgery, 3 papers in General Health Professions and 3 papers in Public Health, Environmental and Occupational Health. Recurrent topics in David Shukla's work include Diabetes and associated disorders (3 papers), Primary Care and Health Outcomes (2 papers) and Pancreatic function and diabetes (2 papers). David Shukla is often cited by papers focused on Diabetes and associated disorders (3 papers), Primary Care and Health Outcomes (2 papers) and Pancreatic function and diabetes (2 papers). David Shukla collaborates with scholars based in United Kingdom, Croatia and United States. David Shukla's co-authors include Ian Litchfield, Sheila Greenfield, Alice Turner, Parth Narendran, Ian Maidment, Ruth Backman, Mark Lee, Lauren M. Quinn, Karina V Bunting and Colin Dayan and has published in prestigious journals such as Nature Medicine, Journal of Medical Internet Research and The Lancet Diabetes & Endocrinology.

In The Last Decade

David Shukla

9 papers receiving 208 citations

Hit Papers

Impact of COVID-19 on the digital divide: a rapid review 2021 2026 2022 2024 2021 50 100 150

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David Shukla United Kingdom 5 76 54 32 23 20 10 210
Emil Øversveen Norway 7 150 2.0× 48 0.9× 17 0.5× 50 2.2× 47 2.4× 16 295
Jessica Baldwin United States 8 180 2.4× 73 1.4× 12 0.4× 14 0.6× 31 1.6× 17 364
Bradley Ong Philippines 7 94 1.2× 40 0.7× 21 0.7× 29 1.3× 20 1.0× 9 210
Patrícia Peres de Oliveira Brazil 9 87 1.1× 50 0.9× 11 0.3× 37 1.6× 36 1.8× 68 251
Érica Toledo de Mendonça Brazil 9 123 1.6× 44 0.8× 15 0.5× 13 0.6× 38 1.9× 59 259
Sarah Alismail United States 5 59 0.8× 52 1.0× 8 0.3× 19 0.8× 22 1.1× 14 184
Veronica Milos Nymberg Sweden 9 171 2.3× 123 2.3× 48 1.5× 21 0.9× 24 1.2× 36 299
Hammad Durrani Pakistan 9 162 2.1× 92 1.7× 12 0.4× 16 0.7× 19 0.9× 10 289
Cheng‐Kai Kao United States 4 163 2.1× 36 0.7× 19 0.6× 14 0.6× 34 1.7× 6 265
Chukwuma N. Eruchalu United States 7 92 1.2× 63 1.2× 17 0.5× 25 1.1× 25 1.3× 8 240

Countries citing papers authored by David Shukla

Since Specialization
Citations

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

Fields of papers citing papers by David Shukla

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Shukla

This figure shows the co-authorship network connecting the top 25 collaborators of David Shukla. A scholar is included among the top collaborators of David Shukla 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 Shukla. David Shukla 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.
Quinn, Lauren M., Ian Litchfield, Felicity Boardman, et al.. (2026). Feasibility of general population screening for type 1 diabetes in the UK: the ELSA study. The Lancet Diabetes & Endocrinology. 14(3). 197–199.
3.
4.
Mobley, Alastair, Anuradhaa Subramanian, Puja Myles, et al.. (2024). Thromboembolic events and vascular dementia in patients with atrial fibrillation and low apparent stroke risk. Nature Medicine. 30(8). 2288–2294. 13 indexed citations
5.
Quinn, Lauren M., David Shukla, Sheila Greenfield, et al.. (2022). EarLy Surveillance for Autoimmune diabetes: protocol for a qualitative study of general population and stakeholder perspectives on screening for type 1 diabetes in the UK (ELSA 1). BMJ Open Diabetes Research & Care. 10(2). e002750–e002750. 12 indexed citations
6.
Quinn, Lauren M., et al.. (2022). Screening children for presymptomatic type 1 diabetes. British Journal of General Practice. 73(726). 36–39. 3 indexed citations
7.
Litchfield, Ian, David Shukla, & Sheila Greenfield. (2021). Impact of COVID-19 on the digital divide: a rapid review. BMJ Open. 11(10). e053440–e053440. 157 indexed citations breakdown →
8.
Maidment, Ian, et al.. (2020). Medication management in older people – a hidden burden. Prescriber. 31(11-12). 30–33. 5 indexed citations
9.
Shukla, David. (2019). Involvement in primary care research: is your practice one of the 68% not benefiting?. British Journal of General Practice. 69(681). 197–197. 2 indexed citations
10.
Litchfield, Ian, et al.. (2018). Can process mining automatically describe care pathways of patients with long-term conditions in UK primary care? A study protocol. BMJ Open. 8(12). e019947–e019947. 13 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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