Tim A. Day

6.6k citations
85 papers · 3.4k · h-index 33

Impact in

  • Parasitology top 0.2%
    • Parasites and Host Interactions
  • Aging top 1%
    • Genetics, Aging, and Longevity in Model Organisms

Papers in

    • Parasites and Host Interactions 36
    • Parasite Biology and Host Interactions 34

Tim A. Day

85 papers receiving 3.3k citations

Peers

Tim A. Day
Comparison fields: 5 of 100
  • Parasitology 1.7k
  • Aging 216
  • Small Animals 728
  • Ecology 1.4k
  • Cellular and Molecular Neuroscience 468
Replace Doris Cully with:
Doris Cully United States
Achim Harder Germany
John M. Hawdon United States
Robin N. Beech Canada
Paul McVeigh United Kingdom
J. R. Kusel United Kingdom
Christoph G. Grevelding Germany
Philip Skuce United Kingdom
R.H. Fetterer United States
Bronwyn E. Campbell Australia
Tim A. Day relative to Doris Cully United States Doris Cully's profile →
Citations per field
00.5×5.0×
Doris Cully · 1×
Citations per year

Countries citing papers authored by Tim A. Day

Since Specialization
Citations

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

Fields of papers citing papers by Tim A. Day

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 85 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999403
2 2007152
3 2015134
4 2011113
5 2007109
6 2005104
7 199293
8 200180
9 200279
10 199976
11 200975
12 200474
13 200072
14 201171
15 199470
16 200566
17 200166
18 199461
19 201059
20 200455

About Tim A. Day

Tim A. Day is a scholar working on Parasitology, Ecology, Molecular Biology, Cellular and Molecular Neuroscience and Small Animals, having authored 85 papers that have together received 3.4k indexed citations. Recurring topics across this work include Parasites and Host Interactions (36 papers), Parasite Biology and Host Interactions (34 papers), Planarian Biology and Electrostimulation (13 papers), Neurobiology and Insect Physiology Research (12 papers), Helminth infection and control (12 papers), Neuroendocrine regulation and behavior (9 papers), Genetics, Aging, and Longevity in Model Organisms (7 papers) and Trace Elements in Health (7 papers). The work is most often cited by research in Parasitology (1.7k citations), Aging (216 citations), Small Animals (728 citations), Ecology (1.4k citations) and Cellular and Molecular Neuroscience (468 citations). Tim A. Day has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Aaron G. Maule, James L. Bennett, Michael J. Kimber, Sanaa S. Botros, Ralph A. Pax, Samia William, Mostafa Zamanian, D.W. Halton, Paul McVeigh and Angela Mousley. Their work appears in journals such as Parasitology, International Journal for Parasitology, PLoS Pathogens, PLoS neglected tropical diseases and Experimental Parasitology.

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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