Ifedayo Adetifa

11.0k citations
76 papers · 2.9k indexed · 1 hit paper · h-index 27
Topics
Tuberculosis Research and Epidemiology (28 papers)Mycobacterium research and diagnosis (22 papers)Pneumonia and Respiratory Infections (17 papers)

In The Last Decade

Ifedayo Adetifa

75 papers receiving 2.8k citations

Hit Papers

Treatment of latent tuberculosis infection in HIV infecte...20102026201520202010100200300400

Peers

Ifedayo Adetifa
Comparison fields: 5 of 129
  • Infectious Diseases 2.1k
  • Epidemiology 1.8k
  • Surgery 863
  • Immunology 576
  • Molecular Biology 232
Replace Katie Ewer with:
Katie Ewer United Kingdom
Oriol Manuel Switzerland
Martin O. C. Ota Gambia
Alice Zwerling Canada
Joseph Torresi Australia
Donna M. Ambrosino United States
Molebogeng X. Rangaka United Kingdom
Szu‐Min Hsieh Taiwan
Michèle Tameris South Africa
Shriprakash Kalantri India
Ifedayo Adetifa relative to Katie Ewer United Kingdom Katie Ewer's profile →
Citations per field
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Katie Ewer · 1×
Citations per year

Countries citing papers authored by Ifedayo Adetifa

Since Specialization
Citations

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

Fields of papers citing papers by Ifedayo Adetifa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ifedayo Adetifa

This figure shows the co-authorship network connecting the top 25 collaborators of Ifedayo Adetifa. A scholar is included among the top collaborators of Ifedayo Adetifa based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ifedayo Adetifa. Ifedayo Adetifa is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
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2 4
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5 10
6 20
7 9
8 3
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11 9
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13 29
14 9
15 44
16 59
17 180
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Maternal HIV infection and intrauterine growth: a prospective study in Lagos, Nigeria.
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About Ifedayo Adetifa

Ifedayo Adetifa is a scholar working on Infectious Diseases, Epidemiology and Microbiology, having authored 76 papers that have together received 2.9k indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (28 papers), Mycobacterium research and diagnosis (22 papers) and Pneumonia and Respiratory Infections (17 papers). The work is most often cited by research in Infectious Diseases (2.1k citations), Epidemiology (1.8k citations) and Virology (131 citations). Ifedayo Adetifa has collaborated with scholars based in United Kingdom, Gambia and Nigeria. Frequent co-authors include Jimmy Volmink, Christopher Akolo, Sasha Shepperd, Philip C. Hill, Richard A. Adegbola, Martin O. C. Ota, Jayne S. Sutherland, Bouke C. de Jong, Simon Donkor and David Jeffries. Their work appears in journals such as The Lancet, JAMA and Nature Communications.

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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