Daniel Poole

1.2k citations
70 papers · 876 · h-index 18

Impact in

Papers in

Daniel Poole

67 papers receiving 856 citations

Peers

Daniel Poole
Comparison fields: 5 of 112
  • Agronomy and Crop Science 265
  • Reproductive Medicine 99
  • Cognitive Neuroscience 202
  • Immunology 137
  • Experimental and Cognitive Psychology 88
Replace N. D. Martensz with:
N. D. Martensz United Kingdom
Lingwei Sun China
Lieta Marinelli Italy
Megan M. Mahoney United States
Mark B. Kristal United States
J. A. Goode United Kingdom
Y. Mori Japan
G Bono Italy
Constance S. Campbell United States
Klaus Gärtner Germany
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Citations per field
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Citations per year

Countries citing papers authored by Daniel Poole

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Poole

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel Poole. 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 Daniel Poole. The network helps show where Daniel Poole may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 70 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Guidelines for conducting research studies with the autism community.
201963
2 201261
3 201261
4 201948
5 201145
6 200744
7 200941
8 200837
9 201830
10 201630
11 201029
12 201622
13 201921
14 201821
15 200620
16 201520
17 202019
18 201317
19 200815
20 202315

About Daniel Poole

Daniel Poole is a scholar working on Agronomy and Crop Science, Ecology, Evolution, Behavior and Systematics, Cognitive Neuroscience, Genetics and Environmental Chemistry, having authored 70 papers that have together received 876 indexed citations. Recurring topics across this work include Plant and fungal interactions (19 papers), Reproductive Physiology in Livestock (16 papers), Turfgrass Adaptation and Management (12 papers), Genetic and phenotypic traits in livestock (11 papers), Autism Spectrum Disorder Research (10 papers), Multisensory perception and integration (9 papers), Ruminant Nutrition and Digestive Physiology (8 papers) and Reproductive System and Pregnancy (6 papers). The work is most often cited by research in Agronomy and Crop Science (265 citations), Reproductive Medicine (99 citations), Cognitive Neuroscience (202 citations), Immunology (137 citations) and Experimental and Cognitive Psychology (88 citations). Daniel Poole has collaborated with scholars based in United States, United Kingdom and China. Frequent co-authors include Joy L. Pate, Emma Gowen, Ellen Poliakoff, Olga M. Ocón-Grove, A. L. Johnson, Kalidou Ndiaye, Rebecca K Poole, Paul A. Warren, Luke Jones and R. A. Dailey. Their work appears in journals such as Journal of Animal Science, Biology of Reproduction, Theriogenology, Autism and Multisensory Research.

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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