David Shukla

9 papers receiving 208 citations

Hit Papers

Impact of COVID-19 on the digital divide: a rapid review 2021 · 157 citations
1570+1+3Years since publication50100150

Peers

David Shukla
Comparison fields: 5 of 70
  • Neuropsychology and Physiological Psychology 8
  • Health Informatics 6
  • General Health Professions 76
  • Demography 32
  • Health 23
Replace Lotta Virtanen with:
Lotta Virtanen Finland
Ariel Leonardo Fernandez Argentina
Bradley Ong Philippines
Akari Higuchi Japan
Yinhuan Hu China
Pilar Fuster Spain
Najeeb Al-Shorbaji United States
Emil Øversveen Norway
Silke Neusser Germany
Peter Granda United States
David Shukla relative to Lotta Virtanen Finland Lotta Virtanen's profile →
Citations per field
00.5×1.5×1.8×
Lotta Virtanen · 1×
Citations per year

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-authors

The 24 scholars most cited alongside David Shukla, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with David Shukla Line = papers co-authored together David Shukla links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1
Impact of COVID-19 on the digital divide: a rapid review
Hit paper breakdown →
2021157
2 202413
3 201813
4 202212
5 20205
6 20254
7 20223
8 20192
9 20251
10 20260

About David Shukla

David Shukla is a scholar working on Surgery, General Health Professions, Public Health, Environmental and Occupational Health, Genetics and Epidemiology, having authored 10 papers that have together received 210 indexed citations. Recurring topics across this work include Diabetes and associated disorders (3 papers), Pancreatic function and diabetes (2 papers), Diabetes Management and Research (2 papers), Primary Care and Health Outcomes (2 papers), Clinical practice guidelines implementation (1 paper), Health Literacy and Information Accessibility (1 paper), Pharmaceutical Practices and Patient Outcomes (1 paper) and Telemedicine and Telehealth Implementation (1 paper). The work is most often cited by research in Neuropsychology and Physiological Psychology (8 citations), Health Informatics (6 citations), General Health Professions (76 citations), Demography (32 citations) and Health (23 citations). David Shukla has collaborated with scholars based in United Kingdom, Croatia and United States. Frequent co-authors include Ian Litchfield, Sheila Greenfield, Lauren M. Quinn, Parth Narendran, Alice Turner, Mark Lee, Ruth Backman, Ian Maidment, Krishnarajah Nirantharakumar and Dipak Kotecha. Their work appears in journals such as BMJ Open, British Journal of General Practice, Nature Medicine, BMJ Open Diabetes Research & Care and Journal of Medical Internet Research.

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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