Daniel Amoako-Sakyi

517 citations
23 papers · 316 · h-index 11

Impact in

    • Hepatitis Viruses Studies and Epidemiology
    • Cervical Cancer and HPV Research
    • Hepatitis B Virus Studies

Papers in

Daniel Amoako-Sakyi

22 papers receiving 309 citations

Peers

Daniel Amoako-Sakyi
Comparison fields: 5 of 81
  • Hepatology 21
  • Epidemiology 90
  • Infectious Diseases 50
  • Public Health, Environmental and Occupational Health 67
  • Business and International Management 5
Replace Martí Vall Mayans with:
Martí Vall Mayans Spain
Zipporah Ng’ang’a Kenya
Alvaro Muñoz United States
Paul Snell United Kingdom
Thelma T. Gonçalez United States
Mahmood Nabavi Iran
Richard Pendame United States
L S Chauhan India
Caterina Guinovart Spain
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Citations per field
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Martí Vall Mayans · 1×
Citations per year

Countries citing papers authored by Daniel Amoako-Sakyi

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Amoako-Sakyi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201747
2 201536
3 201532
4 201930
5 201725
6 201817
7 201717
8 201316
9 201916
10 201616
11 201713
12 20208
13 20168
14 20227
15 20156
16 20165
17 20225
18 20214
19 20233
20 20243

About Daniel Amoako-Sakyi

Daniel Amoako-Sakyi is a scholar working on Public Health, Environmental and Occupational Health, Epidemiology, Economics and Econometrics, Infectious Diseases and Molecular Biology, having authored 23 papers that have together received 316 indexed citations. Recurring topics across this work include Malaria Research and Control (5 papers), Pharmaceutical Economics and Policy (4 papers), Pharmaceutical Quality and Counterfeiting (4 papers), Virology and Viral Diseases (2 papers), Hepatitis B Virus Studies (2 papers), Cervical Cancer and HPV Research (2 papers), Forensic Anthropology and Bioarchaeology Studies (1 paper) and Trypanosoma species research and implications (1 paper). The work is most often cited by research in Hepatology (21 citations), Epidemiology (90 citations), Infectious Diseases (50 citations), Public Health, Environmental and Occupational Health (67 citations) and Business and International Management (5 citations). Daniel Amoako-Sakyi has collaborated with scholars based in Ghana, United Kingdom and Burkina Faso. Frequent co-authors include Dorcas Obiri‐Yeboah, Harold S. Amonoo-Kuofi, Kate Hampshire, Heather Hamill, Simon Mariwah, Philippe Mayaud, Yaw Adu‐Sarkodie, Thilde Rheinländer, Mohamed Mutocheluh and Ahmed Adu-Oppong. Their work appears in journals such as PLoS ONE, Social Science & Medicine, Malaria Journal, Global Bioethics and Current Biology.

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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