Daniel Church

946 citations
17 papers · 326 · h-index 10

Impact in

Papers in

    • Hepatitis B Virus Studies 7
    • HIV, Drug Use, Sexual Risk 3
    • Liver Disease Diagnosis and Treatment 3
    • Data-Driven Disease Surveillance 2
    • Hepatitis C virus research 9

Daniel Church

16 papers receiving 318 citations

Peers

Daniel Church
Comparison fields: 5 of 93
  • Hepatology 134
  • Filtration and Separation 14
  • Epidemiology 206
  • Infectious Diseases 80
  • Health Information Management 19
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Liisa M. Randall United States
Olivia Price Australia
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Clement T. Narh Ghana
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Citations per field
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Citations per year

Countries citing papers authored by Daniel Church

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Church

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 201379
2 200856
3 201736
4 201430
5 201526
6 201120
7 200416
8 200615
9 198914
10 201213
11 20056
12 20235
13 20214
14 20153
15 20192
16 20241
17
In their own words: five generations of Britons describe their experiences of the coronavirus pandemic. Initial findings from the COVID-19 Survey in Five National Longitudinal Studies
20200

About Daniel Church

Daniel Church is a scholar working on Epidemiology, Hepatology, Infectious Diseases, General Health Professions and Spectroscopy, having authored 17 papers that have together received 326 indexed citations. Recurring topics across this work include Hepatitis C virus research (9 papers), Hepatitis B Virus Studies (7 papers), HIV, Drug Use, Sexual Risk (3 papers), Liver Disease Diagnosis and Treatment (3 papers), Data-Driven Disease Surveillance (2 papers), Advanced Chemical Sensor Technologies (1 paper), Food Security and Health in Diverse Populations (1 paper) and HIV/AIDS Research and Interventions (1 paper). The work is most often cited by research in Hepatology (134 citations), Filtration and Separation (14 citations), Epidemiology (206 citations), Infectious Diseases (80 citations) and Health Information Management (19 citations). Daniel Church has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Shauna Onofrey, Arthur Y. Kim, Gillian Haney, Alfred DeMaria, Richard Platt, Michael Klompas, Ross Lazarus, Kerri Barton, Noelle M. Cocoros and Rafael Cueto. Their work appears in journals such as Public Health Reports, Annals of Internal Medicine, Nursing and Health Sciences, Journal of American College Health and Analytical Letters.

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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