Phillip C. Thesing

12 papers receiving 601 citations

Peers

Phillip C. Thesing
Comparison fields: 5 of 61
  • Public Health, Environmental and Occupational Health 508
  • Pediatrics, Perinatology and Child Health 125
  • Parasitology 107
  • Computational Theory and Mathematics 106
  • Infectious Diseases 81
Replace Carolyn Nabasumba with:
Carolyn Nabasumba Uganda
Eric M. Njunju Zambia
Nandao Tarongka Papua New Guinea
Machteld E. Boel Thailand
Carole Khairallah United Kingdom
Sónia Enosse Mozambique
Alassane Dicko Mali
Jacher Wiladphaingern Thailand
Phillips Chimpeni Malawi
Patience Nayebare Uganda
Phillip C. Thesing relative to Carolyn Nabasumba Uganda Carolyn Nabasumba's profile →
Citations per field
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Citations per year

Countries citing papers authored by Phillip C. Thesing

Since Specialization
Citations

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

Fields of papers citing papers by Phillip C. Thesing

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Phillip C. Thesing. 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 Phillip C. Thesing. The network helps show where Phillip C. Thesing may publish in the future.

Co-authorship network of co-authors of Phillip C. Thesing

This figure shows the co-authorship network connecting the top 25 collaborators of Phillip C. Thesing. A scholar is included among the top collaborators of Phillip C. Thesing 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 Phillip C. Thesing. Phillip C. Thesing is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

13 of 13 papers shown
#WorkIndexed citations
1 0
2 19
3 27
4 59
5 10
6 52
7 33
8 24
9 15
10 16
11 25
12
Malaria treatment efficacy among people living with HIV: the role of host and parasite factors.
17
13 315

About Phillip C. Thesing

Phillip C. Thesing is a scholar working on Parasitology, Public Health, Environmental and Occupational Health and Obstetrics and Gynecology, having authored 13 papers that have together received 612 indexed citations. Recurring topics across this work include Malaria Research and Control (11 papers), Mosquito-borne diseases and control (6 papers) and Global Maternal and Child Health (5 papers). The work is most often cited by research in Public Health, Environmental and Occupational Health (508 citations), Parasitology (107 citations) and Pharmacology (80 citations). Phillip C. Thesing has collaborated with scholars based in United States, Malawi and United Kingdom. Frequent co-authors include Miriam K. Laufer, Terrie E. Taylor, Christopher V. Plowe, Fraction K. Dzinjalamala, Rhoda Masonga, Shannon L. Takala, Linda Kalilani‐Phiri, Atis Muehlenbachs, Osward M. Nyirenda and Sarah Boudová. Their work appears in journals such as New England Journal of Medicine, PLoS ONE and The Journal of Infectious Diseases.

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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