David Stead

634 citations
21 papers · 337 · h-index 9

Impact in

Papers in

    • HIV/AIDS Research and Interventions 5
    • SARS-CoV-2 and COVID-19 Research 2
    • Tuberculosis Research and Epidemiology 1
    • Drug-Induced Hepatotoxicity and Protection 4
    • Pharmaceutical industry and healthcare 1

David Stead

19 papers receiving 324 citations

Peers

David Stead
Comparison fields: 5 of 59
  • Applied Microbiology and Biotechnology 60
  • Health 57
  • Infectious Diseases 98
  • Modeling and Simulation 23
  • Pharmacology 33
Replace Alex Dodoo with:
Alex Dodoo Ghana
Emmanuel Mahama Ghana
Wilson Were Switzerland
Cheng-Yin Tseng Taiwan
José Cerbino-Neto Brazil
George A. Yendewa United States
Oscar Kallay Belgium
Marios Lazanas Greece
Abdullah Algwizani Saudi Arabia
Zain Chagla Canada
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Citations per field
00.5×2×4×6×7.7×
Alex Dodoo · 1×
Citations per year

Countries citing papers authored by David Stead

Since Specialization
Citations

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

Fields of papers citing papers by David Stead

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside David Stead, 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 Stead Line = papers co-authored together David Stead links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201378
2 202161
3 201842
4 202034
5 201633
6 200925
7 201810
8 200810
9 20208
10 20227
11 20177
12 20226
13 20215
14 20213
15 20212
16 20162
17 20132
18 20221
19 20211
20 20250

About David Stead

David Stead is a scholar working on Infectious Diseases, Pharmacology, Pediatrics, Perinatology and Child Health, Economics and Econometrics and Health, having authored 21 papers that have together received 337 indexed citations. Recurring topics across this work include HIV/AIDS Research and Interventions (5 papers), Drug-Induced Hepatotoxicity and Protection (4 papers), SARS-CoV-2 and COVID-19 Research (2 papers), Tuberculosis Research and Epidemiology (1 paper), Vaccine Coverage and Hesitancy (1 paper), Antibiotic Use and Resistance (1 paper), Pharmaceutical industry and healthcare (1 paper) and COVID-19 epidemiological studies (1 paper). The work is most often cited by research in Applied Microbiology and Biotechnology (60 citations), Health (57 citations), Infectious Diseases (98 citations), Modeling and Simulation (23 citations) and Pharmacology (33 citations). David Stead has collaborated with scholars based in South Africa, United States and United Kingdom. Frequent co-authors include Mandisa Singata‐Madliki, Oladele Vincent Adeniyi, Joanne Batting, Andrew Parrish, Shareef Abrahams, Bhakti Hansoti, Thomas C. Quinn, M Wright, Andy Parrish and Meg Osler. Their work appears in journals such as PLoS ONE, Clinical Infectious Diseases, International Journal of Environmental Research and Public Health, Antiviral Therapy and BMC Health Services 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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