Jay Boyd Best

1.6k citations
45 papers · 1.2k · h-index 21

Impact in

Papers in

Jay Boyd Best

44 papers receiving 1.1k citations

Peers

Jay Boyd Best
Comparison fields: 5 of 115
  • Global and Planetary Change 442
  • Paleontology 101
  • Molecular Biology 825
  • Aging 21
  • Endocrine and Autonomic Systems 68
Replace Francesco Aniello with:
Francesco Aniello Italy
Keiichiro Kyozuka Japan
Margherita Branno Italy
Alessandra Falleni Italy
Chris Patton United States
A. S. M. Saleuddin Canada
Elisabetta Tosti Italy
Ricardo M. Zayas United States
Helén Nilsson Sköld Sweden
David W. Towle United States
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Citations per field
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Francesco Aniello · 1×
Citations per year

Countries citing papers authored by Jay Boyd Best

Since Specialization
Citations

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

Fields of papers citing papers by Jay Boyd Best

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jay Boyd Best. 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 Jay Boyd Best. The network helps show where Jay Boyd Best may publish in the future.

Co-authors

The 14 scholars most cited alongside Jay Boyd Best, 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 Jay Boyd Best Line = papers co-authored together Jay Boyd Best links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1 196997
2 196672
3 199572
4 195565
5 198261
6 198456
7 197452
8 196952
9 196551
10 197450
11 198445
12 198741
13 196240
14 197436
15 198635
16 199129
17 196828
18 196924
19 198123
20 196522

About Jay Boyd Best

Jay Boyd Best is a scholar working on Molecular Biology, Global and Planetary Change, Plant Science, Cellular and Molecular Neuroscience and Ecology, Evolution, Behavior and Systematics, having authored 45 papers that have together received 1.2k indexed citations. Recurring topics across this work include Planarian Biology and Electrostimulation (32 papers), Marine Ecology and Invasive Species (17 papers), Plant and Biological Electrophysiology Studies (10 papers), Cephalopods and Marine Biology (5 papers), Insect and Arachnid Ecology and Behavior (4 papers), Neurobiology and Insect Physiology Research (4 papers), Marine Biology and Environmental Chemistry (3 papers) and Electrochemical sensors and biosensors (3 papers). The work is most often cited by research in Global and Planetary Change (442 citations), Paleontology (101 citations), Molecular Biology (825 citations), Aging (21 citations) and Endocrine and Autonomic Systems (68 citations). Jay Boyd Best has collaborated with scholars based in United States. Frequent co-authors include Michio Morita, Jack Noel, Frederick L. Hall, Masashi Morita, James D. Heckman, C. Mauli Agrawal, Barbara D. Boyan, A. Pigon, William A. Gern and Henry W. Schaup. Their work appears in journals such as Journal of Experimental Zoology, Science, Bulletin of Environmental Contamination and Toxicology, Scientific American and Biomaterials.

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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