William Pomat

3.6k total citations
108 papers, 1.2k citations indexed

About

William Pomat is a scholar working on Epidemiology, Public Health, Environmental and Occupational Health and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, William Pomat has authored 108 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Epidemiology, 28 papers in Public Health, Environmental and Occupational Health and 24 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in William Pomat's work include Pneumonia and Respiratory Infections (27 papers), Global Maternal and Child Health (23 papers) and Respiratory viral infections research (20 papers). William Pomat is often cited by papers focused on Pneumonia and Respiratory Infections (27 papers), Global Maternal and Child Health (23 papers) and Respiratory viral infections research (20 papers). William Pomat collaborates with scholars based in Papua New Guinea, Australia and United Kingdom. William Pomat's co-authors include Deborah Lehmann, Anita H.J. van den Biggelaar, Peter M. Siba, Suparat Phuanukoonnon, Michael P. Alpers, Peter Richmond, Patrick G. Holt, Peter Siba, Andrew Vallely and Lisa M. Vallely and has published in prestigious journals such as Science, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

William Pomat

93 papers receiving 1.2k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
William Pomat Papua New Guinea 21 472 255 238 168 164 108 1.2k
Jenell S. Coleman United States 22 568 1.2× 516 2.0× 78 0.3× 325 1.9× 374 2.3× 79 1.5k
Newton Sérgio de Carvalho Brazil 16 1.6k 3.4× 270 1.1× 422 1.8× 202 1.2× 181 1.1× 77 2.2k
Laura Sangaré United States 17 258 0.5× 333 1.3× 101 0.4× 233 1.4× 184 1.1× 33 1.1k
Charles S. Mgone Papua New Guinea 26 396 0.8× 95 0.4× 259 1.1× 557 3.3× 278 1.7× 50 1.6k
Jonathan D. Fuchs United States 21 696 1.5× 135 0.5× 162 0.7× 145 0.9× 698 4.3× 58 1.5k
Gregory S. Wallace United States 19 1.1k 2.4× 161 0.6× 233 1.0× 141 0.8× 557 3.4× 41 1.7k
Mathieu Bangert United Kingdom 19 749 1.6× 174 0.7× 140 0.6× 241 1.4× 218 1.3× 46 1.3k
A. Meheus Belgium 27 1.5k 3.2× 157 0.6× 251 1.1× 159 0.9× 466 2.8× 79 2.2k
Zerihun Tadesse United States 25 371 0.8× 521 2.0× 95 0.4× 393 2.3× 243 1.5× 87 1.5k
Taha Hirbod Sweden 21 256 0.5× 347 1.4× 388 1.6× 130 0.8× 295 1.8× 33 1.0k

Countries citing papers authored by William Pomat

Since Specialization
Citations

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

Fields of papers citing papers by William Pomat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of William Pomat

This figure shows the co-authorship network connecting the top 25 collaborators of William Pomat. A scholar is included among the top collaborators of William Pomat 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 William Pomat. William Pomat 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
2.
Kennedy, Elissa, Lisa M. Vallely, Kirsten Black, et al.. (2025). Socio-structural influences on unintended pregnancy among girls aged 15–17 years in Papua New Guinea. BMJ Global Health. 10(3). e017679–e017679.
3.
Quinto-Cortés, Consuelo D., Stephen Oppenheimer, William Pomat, et al.. (2024). Genetic Signatures of Positive Selection in Human Populations Adapted to High Altitude in Papua New Guinea. Genome Biology and Evolution. 16(8). 1 indexed citations
5.
Cowan, John, Martha Kupul, Stephen M. Graham, et al.. (2023). Beyond patient delay, navigating structural health system barriers to timely care and treatment in a high burden TB setting in Papua New Guinea. Global Public Health. 18(1). 2184482–2184482. 5 indexed citations
6.
Pomat, William, Visalakshi Jeyaseelan, Rebecca Ford, et al.. (2023). Poliovirus serological assay after the cVDPV1 outbreak in Papua New Guinea: a cross-sectional study from 2020 to 2021. The Lancet Regional Health - Western Pacific. 44. 100986–100986. 1 indexed citations
7.
Kupul, Martha, John Cowan, Stephen M. Graham, et al.. (2022). Exploring Tuberculosis Riskscapes in a Papua New Guinean ‘Hotspot’. Qualitative Health Research. 32(11). 1747–1762. 3 indexed citations
8.
Hetzel, Manuel W., Evelyn Lavu, Leo Makita, et al.. (2021). Surveillance of molecular markers of Plasmodium falciparum artemisinin resistance (kelch13 mutations) in Papua New Guinea between 2016 and 2018. International Journal for Parasitology Drugs and Drug Resistance. 16. 188–193. 11 indexed citations
9.
Peach, Elizabeth, Chris Morgan, Michelle J. L. Scoullar, et al.. (2021). Risk factors and knowledge associated with high unintended pregnancy rates and low family planning use among pregnant women in Papua New Guinea. Scientific Reports. 11(1). 1222–1222. 13 indexed citations
10.
Rahman, Tasmina, Elke Seppanen, Audrey Michael, et al.. (2021). PCV10 elicits Protein D IgG responses in Papua New Guinean children but has no impact on NTHi carriage in the first two years of life. Vaccine. 39(26). 3486–3492. 3 indexed citations
11.
Timinao, Lincoln, Michelle Katusele, Leanne J. Robinson, et al.. (2020). Decreased bioefficacy of long-lasting insecticidal nets and the resurgence of malaria in Papua New Guinea. Nature Communications. 11(1). 3646–3646. 32 indexed citations
12.
Gupta, Madhu, Brian Wahl, Naor Bar‐Zeev, et al.. (2020). The need for COVID-19 research in low- and middle-income countries. Global Health Research and Policy. 5(1). 33–33. 56 indexed citations
13.
Brucato, Nicolas, Verónica Fernandes, Lauri Saag, et al.. (2020). Papuan mitochondrial genomes and the settlement of Sahul. Journal of Human Genetics. 65(10). 875–887. 34 indexed citations
14.
Majumdar, Suman, et al.. (2019). The SORT IT model for building operational research capacity: the experience of TB service providers in PNG. Public Health Action. 9(Supplement 1). S1–S2. 1 indexed citations
16.
Richmond, Peter, Audrey Michael, Peter M. Siba, et al.. (2016). A longitudinal study of natural antibody development to pneumococcal surface protein A families 1 and 2 in Papua New Guinean Highland children: a cohort study. PubMed. 8(1). 12–12. 3 indexed citations
18.
Prescott, Susan L., Peter Richmond, William Pomat, et al.. (2012). Neonatal antigen-presenting cells are functionally more quiescent in children born under traditional compared with modern environmental conditions. Journal of Allergy and Clinical Immunology. 130(5). 1167–1174.e10. 30 indexed citations
19.
Biggelaar, Anita H.J. van den, Susan L. Prescott, Marjut Roponen, et al.. (2009). Neonatal innate cytokine responses to BCG controlling T-cell development vary between populations. Journal of Allergy and Clinical Immunology. 124(3). 544–550.e2. 34 indexed citations
20.
Biggelaar, Anita H.J. van den, Peter Richmond, William Pomat, et al.. (2009). Neonatal pneumococcal conjugate vaccine immunization primes T cells for preferential Th2 cytokine expression: A randomized controlled trial in Papua New Guinea. Vaccine. 27(9). 1340–1347. 32 indexed citations

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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