Saheed Gidado

24 papers receiving 617 citations

Peers

Saheed Gidado
Comparison fields: 5 of 108
  • Modeling and Simulation 68
  • Hepatology 85
  • Emergency Medical Services 72
  • Health, Toxicology and Mutagenesis 124
  • Infectious Diseases 160
Replace Sania Ashraf with:
Sania Ashraf United States
Tarique Md. Nurul Huda Bangladesh
Yara Yassin Saudi Arabia
Yasmin Jahan Japan
Solomon Tsebeni Wafula Uganda
Richard K. Mugambe Uganda
Winifred Ekezie United Kingdom
Tonny Ssekamatte Uganda
Ayo Stephen Adebowale Nigeria
Mausumi Basu India
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Citations per field
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Citations per year

Countries citing papers authored by Saheed Gidado

Since Specialization
Citations

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

Fields of papers citing papers by Saheed Gidado

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011174
2 2015130
3 2016102
4 201546
5 201941
6 201523
7 201917
8 201915
9 201815
10
Polio Field Census and Vaccination of Underserved Populations — Northern Nigeria, 2012–2013
201313
11 202112
12 201711
13 20159
14 20148
15 20196
16 20234
17 20203
18 20222
19 20201
20 20191

About Saheed Gidado

Saheed Gidado is a scholar working on Epidemiology, Infectious Diseases, Modeling and Simulation, Emergency Medical Services and Health, having authored 25 papers that have together received 637 indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (7 papers), Viral Infections and Outbreaks Research (7 papers), Disaster Response and Management (5 papers), Vaccine Coverage and Hesitancy (3 papers), Virology and Viral Diseases (3 papers), Hepatitis B Virus Studies (2 papers), Hepatitis C virus research (2 papers) and Global Maternal and Child Health (2 papers). The work is most often cited by research in Modeling and Simulation (68 citations), Hepatology (85 citations), Emergency Medical Services (72 citations), Health, Toxicology and Mutagenesis (124 citations) and Infectious Diseases (160 citations). Saheed Gidado has collaborated with scholars based in Nigeria, United States and Finland. Frequent co-authors include Patrick Nguku, Adebola Olayinka, Abdulsalami Nasidi, Akin Oyemakinde, Mary Jean Brown, Carrie Dooyema, Oladayo Biya, Muhammad Shakir Balogun, Faisal Shuaib and James T. Durant. Their work appears in journals such as International Journal of Infectious Diseases, BMC Public Health, PLoS Currents, Global Health Research and Policy and Environmental Health Perspectives.

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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