Tim A. Day
Impact in
- Parasitology top 0.2%
- Parasites and Host Interactions
- Aging top 1%
- Genetics, Aging, and Longevity in Model Organisms
Papers in
- Parasitology 37
- Parasites and Host Interactions 35
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- Planarian Biology and Electrostimulation 13
- Co-authors
- Aaron G. Maule (33 shared papers)James L. Bennett (15 shared papers)Michael J. Kimber (29 shared papers)Ralph A. Pax (11 shared papers)Sanaa S. Botros (5 shared papers)Samia William (4 shared papers)Mostafa Zamanian (14 shared papers)D.W. Halton (10 shared papers)
- Journals
- Parasitology (17 papers)International Journal for Parasitology (10 papers)PLoS Pathogens (6 papers)Experimental Parasitology (4 papers)PLoS neglected tropical diseases (4 papers)
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
Tim A. Day
80 papers receiving 3.1k citations
Peers
Comparison fields: 5 of 100
- Parasitology 1.6k
- Aging 204
- Small Animals 681
- Ecology 1.3k
- Cellular and Molecular Neuroscience 449
Countries citing papers authored by Tim A. Day
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
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.
All Works
Showing the 20 most-cited of 80 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1999 | 381 | |
| 2 | 2007 | 147 | |
| 3 | 2015 | 125 | |
| 4 | 2011 | 108 | |
| 5 | 2007 | 99 | |
| 6 | 2005 | 95 | |
| 7 | 1992 | 88 | |
| 8 | 2009 | 74 | |
| 9 | 2001 | 73 | |
| 10 | 2002 | 73 | |
| 11 | 2004 | 73 | |
| 12 | 2000 | 71 | |
| 13 | 1999 | 71 | |
| 14 | 1994 | 69 | |
| 15 | 2011 | 69 | |
| 16 | 2005 | 63 | |
| 17 | 2001 | 61 | |
| 18 | 2010 | 57 | |
| 19 | 1994 | 57 | |
| 20 | 2004 | 50 |
About Tim A. Day
Tim A. Day is a scholar working on Parasitology, Molecular Biology, Ecology, Cellular and Molecular Neuroscience and Small Animals, having authored 80 papers that have together received 3.2k indexed citations. Recurring topics across this work include Parasites and Host Interactions (35 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 (11 papers), Neuroendocrine regulation and behavior (8 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 (1.6k citations), Aging (204 citations), Small Animals (681 citations), Ecology (1.3k citations) and Cellular and Molecular Neuroscience (449 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, Ralph A. Pax, Sanaa S. Botros, 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, Experimental Parasitology and PLoS neglected tropical 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.