P. J. Ham

1.7k citations
67 papers · 1.5k · h-index 20

Impact in

Papers in

P. J. Ham

65 papers receiving 1.4k citations

Peers

P. J. Ham
Comparison fields: 5 of 100
  • Cellular and Molecular Neuroscience 466
  • Insect Science 292
  • Microbiology 109
  • Parasitology 89
  • Infectious Diseases 190
Replace McHardy M. Smith with:
McHardy M. Smith United States
Márcia Renata Mortari Brazil
Jiřina Slaninová Czechia
Bruno L. Schmidt Austria
Andrew J. Thompson United Kingdom
Carlos Červeñanský Uruguay
Ivo Lebrun Brazil
David G. Pribnow United States
Heather L. Martin United Kingdom
Kirsten K. Hanson United States
P. J. Ham relative to McHardy M. Smith United States McHardy M. Smith's profile →
Citations per field
00.5×2×3×4.2×
McHardy M. Smith · 1×
Citations per year

Countries citing papers authored by P. J. Ham

Since Specialization
Citations

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

Fields of papers citing papers by P. J. Ham

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by P. J. Ham. 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 P. J. Ham. The network helps show where P. J. Ham may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 67 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1996223
2 199476
3 199775
4 199872
5 200070
6 199357
7 199857
8 199555
9 198154
10 199553
11 199537
12 199628
13 197626
14 199025
15 197224
16 197924
17 198923
18 198322
19 198221
20 199721

About P. J. Ham

P. J. Ham is a scholar working on Insect Science, Infectious Diseases, Parasitology, Organic Chemistry and Microbiology, having authored 67 papers that have together received 1.5k indexed citations. Recurring topics across this work include Parasitic Diseases Research and Treatment (21 papers), Insect symbiosis and bacterial influences (16 papers), Insect and Arachnid Ecology and Behavior (9 papers), Parasite Biology and Host Interactions (6 papers), Neurotransmitter Receptor Influence on Behavior (5 papers), Insect Utilization and Effects (5 papers), Insects and Parasite Interactions (5 papers) and Mosquito-borne diseases and control (5 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (466 citations), Insect Science (292 citations), Microbiology (109 citations), Parasitology (89 citations) and Infectious Diseases (190 citations). P. J. Ham has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include A. E. Bianco, Rod Chalk, Harold Townson, G.A. Kennett, Ian T. Forbes, Martyn D. Wood, Thomas P. Blackburn, Eric R. James, Gordon S. Baxter and Donald A. Whiting. Their work appears in journals such as Journal of Medicinal Chemistry, Journal of the Chemical Society Perkin Transactions 1, Transactions of the Royal Society of Tropical Medicine and Hygiene, Medical and Veterinary Entomology and Journal of Helminthology.

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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