Philip A. Collender

886 citations
30 papers · 512 · h-index 13

Impact in

Papers in

Philip A. Collender

29 papers receiving 506 citations

Peers

Philip A. Collender
Comparison fields: 5 of 100
  • Parasitology 93
  • Infectious Diseases 117
  • Modeling and Simulation 28
  • Health, Toxicology and Mutagenesis 50
  • Nutrition and Dietetics 51
Replace Andrea J. Lund with:
Andrea J. Lund United States
Christopher M. Hoover United States
Javier Perez‐Saez Switzerland
Susanne Herbst Germany
Ibrahima Sy Senegal
Mauricio Espinel Ecuador
Emmanuel Mpolya Tanzania
Felix P. Amerasinghe Sri Lanka
Chris Lane United Kingdom
B. Faucher France
Philip A. Collender relative to Andrea J. Lund United States Andrea J. Lund's profile →
Citations per field
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Andrea J. Lund · 1×
Citations per year

Countries citing papers authored by Philip A. Collender

Since Specialization
Citations

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

Fields of papers citing papers by Philip A. Collender

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Philip A. Collender. 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 Philip A. Collender. The network helps show where Philip A. Collender may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201772
2 201560
3 201753
4 201941
5 201840
6 202036
7 201929
8 202121
9 202217
10 202415
11 202014
12 201914
13 201613
14 201911
15 20238
16 20238
17 20227
18 20236
19 20206
20 20235

About Philip A. Collender

Philip A. Collender is a scholar working on Infectious Diseases, Epidemiology, Pediatrics, Perinatology and Child Health, Parasitology and Health, Toxicology and Mutagenesis, having authored 30 papers that have together received 512 indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (3 papers), Fungal Infections and Studies (3 papers), Parasites and Host Interactions (3 papers), Data-Driven Disease Surveillance (3 papers), Child Nutrition and Water Access (2 papers), Climate Change and Health Impacts (2 papers), Viral gastroenteritis research and epidemiology (2 papers) and Global Maternal and Child Health (2 papers). The work is most often cited by research in Parasitology (93 citations), Infectious Diseases (117 citations), Modeling and Simulation (28 citations), Health, Toxicology and Mutagenesis (50 citations) and Nutrition and Dietetics (51 citations). Philip A. Collender has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Justin V. Remais, Joseph N. S. Eisenberg, Andrew F. Brouwer, Christopher M. Hoover, David G. Addiss, Qu Cheng, Jennifer R. Head, Amy Kirby, Matthew C. Freeman and Rafael Meza. Their work appears in journals such as Proceedings of the National Academy of Sciences, American Journal of Epidemiology, Journal of The Royal Society Interface, PLoS Computational Biology and The Lancet.

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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