Philip El‐Duah

670 citations
28 papers · 439 · h-index 11

Impact in

  • Virology top 10%
    • Rabies epidemiology and control
    • SARS-CoV-2 and COVID-19 Research
    • COVID-19 Clinical Research Studies
    • Viral gastroenteritis research and epidemiology

Papers in

Philip El‐Duah

25 papers receiving 428 citations

Peers

Philip El‐Duah
Comparison fields: 5 of 79
  • Virology 44
  • Infectious Diseases 172
  • Modeling and Simulation 35
  • Microbiology 24
  • Animal Science and Zoology 40
Replace Joanne Hiebert with:
Joanne Hiebert Canada
Jacques R. Kremer Luxembourg
Alex Espinosa United States
Takaaki Yahiro Japan
Matthew Peacey New Zealand
Pramila Walpita United States
Arturo Barbachano-Guerrero United States
Dawn L. Weir United States
Stefan Schmutz Switzerland
Sheilagh Smit United States
Philip El‐Duah relative to Joanne Hiebert Canada Joanne Hiebert's profile →
Citations per field
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Joanne Hiebert · 1×
Citations per year

Countries citing papers authored by Philip El‐Duah

Since Specialization
Citations

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

Fields of papers citing papers by Philip El‐Duah

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Philip El‐Duah. 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 Philip El‐Duah. The network helps show where Philip El‐Duah may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2022114
2 201565
3 201326
4 201923
5 202122
6 202022
7 201821
8 202219
9 202019
10 202116
11 202116
12 202011
13 202111
14 202011
15 201911
16 20197
17 20226
18 20215
19 20254
20 20213

About Philip El‐Duah

Philip El‐Duah is a scholar working on Infectious Diseases, Animal Science and Zoology, Virology, Modeling and Simulation and Epidemiology, having authored 28 papers that have together received 439 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (6 papers), Animal Virus Infections Studies (4 papers), Viral gastroenteritis research and epidemiology (3 papers), COVID-19 epidemiological studies (3 papers), Herpesvirus Infections and Treatments (3 papers), COVID-19 Clinical Research Studies (2 papers), Rabies epidemiology and control (2 papers) and Respiratory viral infections research (2 papers). The work is most often cited by research in Virology (44 citations), Infectious Diseases (172 citations), Modeling and Simulation (35 citations), Microbiology (24 citations) and Animal Science and Zoology (40 citations). Philip El‐Duah has collaborated with scholars based in Ghana, Germany and United Kingdom. Frequent co-authors include Yaw Adu‐Sarkodie, Augustina Angelina Sylverken, Michael Afriyie Owusu, Christian Drosten, Richmond Yeboah, Patrick Addo‐Fordjour, Allan Pillay, Cheng‐Yen Chen, Michael Marks and Anthony W. Solomon. Their work appears in journals such as PLoS ONE, BMC Infectious Diseases, PLoS neglected tropical diseases, Archives of Virology and BMC Veterinary 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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