Peter Preko

810 citations
21 papers · 494 indexed · h-index 13

Impact in

Papers in

    • HIV/AIDS Research and Interventions 14
    • Tuberculosis Research and Epidemiology 4
    • HIV, Drug Use, Sexual Risk 4
    • Pneumocystis jirovecii pneumonia detection and treatment 3

Peter Preko

21 papers receiving 475 citations

Peers

Peter Preko
Comparison fields: 5 of 75
  • Infectious Diseases 248
  • Virology 31
  • Epidemiology 184
  • General Health Professions 126
  • Plant Science 143
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Alvaro Muñoz United States
Sokoine Kivuyo Tanzania
María Patricia Arbeláez Colombia
Nolwandle Mngqundaniso South Africa
Martin Sanou Sobze Cameroon
Deanne Langlois-Klassen Canada
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Citations per year

Countries citing papers authored by Peter Preko

Since Specialization
Citations

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

Fields of papers citing papers by Peter Preko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008103
2 200881
3 202045
4 201141
5 201130
6 201728
7 201623
8 201921
9 201520
10 201817
11 201716
12 201814
13
Association Between Aflatoxin B1 Albumin Adduct Levels and Tuberculosis Infection Among HIV+ Ghanaians.
201113
14 201912
15 20176
16 20206
17 20206
18 20225
19 20183
20 20163

About Peter Preko

Peter Preko is a scholar working on Infectious Diseases, Epidemiology, General Health Professions, Safety Research and Virology, having authored 21 papers that have together received 494 indexed citations. Recurring topics across this work include HIV/AIDS Research and Interventions (14 papers), Adolescent Sexual and Reproductive Health (8 papers), Tuberculosis Research and Epidemiology (4 papers), HIV, Drug Use, Sexual Risk (4 papers), Pneumocystis jirovecii pneumonia detection and treatment (3 papers), Poverty, Education, and Child Welfare (3 papers), HIV Research and Treatment (2 papers) and Food Security and Health in Diverse Populations (2 papers). The work is most often cited by research in Infectious Diseases (248 citations), Virology (31 citations), Epidemiology (184 citations), General Health Professions (126 citations) and Plant Science (143 citations). Peter Preko has collaborated with scholars based in United States, Eswatini and Ghana. Frequent co-authors include Pauline E. Jolly, Yi Jiang, Timothy D. Phillips, Jonathan H. Williams, Miriam Rabkin, Jia-Sheng Wang, John Ehiri, Peter Ehrenkranz, William O. Ellis and Budry Bayard. Their work appears in journals such as Journal of the International AIDS Society, PLoS ONE, JAIDS Journal of Acquired Immune Deficiency Syndromes, Health & Place and The International Journal of Tuberculosis and Lung Disease.

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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