David Shukla

11 papers receiving 238 citations

David Shukla's Hit Papers

Impact of COVID-19 on the digital divide: a rapid review 2021 · 168 citations
1680+1+3Years since publication50100150

Peers

David Shukla
Comparison fields: 5 of 64
  • Health Informatics 5
  • Neuropsychology and Physiological Psychology 3
  • Demography 22
  • General Health Professions 42
  • Health Information Management 8
Replace Natalie M. Davoodi with:
Natalie M. Davoodi United States
Veronica Milos Nymberg Sweden
Akari Higuchi Japan
Chiara Crico Italy
Lise Kvistgaard Jensen Denmark
Thijs van Houwelingen Netherlands
Yinhuan Hu China
Don Juzwishin Canada
Ariel Leonardo Fernandez Argentina
Paula Valkonen Finland
David Shukla relative to Natalie M. Davoodi United States Natalie M. Davoodi's profile →
Citations per field
00.5×
Natalie M. Davoodi · 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 25 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

11 of 11 papers shown
#Work
1
Impact of COVID-19 on the digital divide: a rapid review
Hit paper breakdown →
2021168
2 202214
3 201814
4 202414
5 20259
6 20245
7 20205
8 20224
9 20253
10 20192
11 20261

About David Shukla

David Shukla is a scholar working on Genetics, Surgery, General Health Professions, Epidemiology and Economics and Econometrics, having authored 11 papers that have together received 239 indexed citations. Recurring topics across this work include Diabetes and associated disorders (4 papers), Primary Care and Health Outcomes (2 papers), Pharmaceutical Practices and Patient Outcomes (1 paper), Diabetes Management and Research (1 paper), Venous Thromboembolism Diagnosis and Management (1 paper), Business Process Modeling and Analysis (1 paper), Healthcare Technology and Patient Monitoring (1 paper) and Health and Medical Research Impacts (1 paper). The work is most often cited by research in Health Informatics (5 citations), Neuropsychology and Physiological Psychology (3 citations), Demography (22 citations), General Health Professions (42 citations) and Health Information Management (8 citations). David Shukla has collaborated with scholars based in United Kingdom, United States and Croatia. Frequent co-authors include Ian Litchfield, Sheila Greenfield, Lauren M. Quinn, Ian Maidment, Mark Lee, Parth Narendran, Alice Turner, Ruth Backman, Neil Cockburn and Gayathri Delanerolle. Their work appears in journals such as BMJ Open, British Journal of General Practice, Nature Medicine, Journal of Medical Internet Research and Diabetic Medicine.

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