Peter O. Preko

818 citations
25 papers · 647 · h-index 15

Impact in

    • HIV/AIDS Research and Interventions
    • Tuberculosis Research and Epidemiology
    • HIV/AIDS drug development and treatment
    • Mycotoxins in Agriculture and Food

Papers in

Peter O. Preko

25 papers receiving 614 citations

Peers

Peter O. Preko
Comparison fields: 5 of 51
  • Infectious Diseases 354
  • Plant Science 191
  • Virology 7
  • Epidemiology 47
  • Family Practice 2
Replace V. K. Verma with:
V. K. Verma India
Olumuyiwa Babalola Salu Nigeria
Mary M. Mogashoa South Africa
Donna Kabatesi Uganda
Patrick Achiangia Njukeng Cameroon
Gilberto Fontes Brazil
Micheal Mugerwa Uganda
Tadesse Birhanu Ethiopia
H Méda Canada
Christopher da Costa United States
Peter O. Preko relative to V. K. Verma India V. K. Verma's profile →
Citations per field
00.5×5×10×16×
V. K. Verma · 1×
Citations per year

Countries citing papers authored by Peter O. Preko

Since Specialization
Citations

This map shows the geographic impact of Peter O. 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 O. 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 O. Preko more than expected).

Fields of papers citing papers by Peter O. Preko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Peter O. 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 O. Preko Line = papers co-authored together Peter O. Preko 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 2008118
2 200881
3 202057
4 201147
5 201546
6 201744
7 201136
8 201731
9 201625
10 201522
11 201922
12 201918
13 201817
14 201817
15 201716
16
Association Between Aflatoxin B1 Albumin Adduct Levels and Tuberculosis Infection Among HIV+ Ghanaians.
201112
17 20208
18 20177
19 20206
20 20225

About Peter O. Preko

Peter O. Preko is a scholar working on Infectious Diseases, Plant Science, Epidemiology, Finance and Economics and Econometrics, having authored 25 papers that have together received 647 indexed citations. Recurring topics across this work include HIV/AIDS Research and Interventions (13 papers), Tuberculosis Research and Epidemiology (6 papers), Mycotoxins in Agriculture and Food (5 papers), Cervical Cancer and HPV Research (2 papers), Healthcare Systems and Reforms (1 paper), Women's cancer prevention and management (1 paper) and HIV/AIDS Impact and Responses (1 paper). The work is most often cited by research in Infectious Diseases (354 citations), Plant Science (191 citations), Virology (7 citations), Epidemiology (47 citations) and Family Practice (2 citations). Peter O. Preko has collaborated with scholars based in United States, Eswatini and Uganda. Frequent co-authors include Pauline E. Jolly, Yi Jiang, Timothy D. Phillips, Miriam Rabkin, Peter D Ehrenkranz, Jia-Sheng Wang, Jonathan H. Williams, John E. Ehiri, William O. Ellis and Charles B. Holmes. Their work appears in journals such as PLoS ONE, Journal of the International AIDS Society, MMWR Morbidity and Mortality Weekly Report, Public Health Action and Food Additives & Contaminants Part A.

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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