Peter C. Hubbard

81 papers receiving 1.8k citations

Peers

Peter C. Hubbard
Comparison fields: 5 of 106
  • Physiology 347
  • Aquatic Science 475
  • Sensory Systems 288
  • Ecology, Evolution, Behavior and Systematics 520
  • Nature and Landscape Conservation 281
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Sang‐Seon Yun United States
Barbara S. Zielinski Canada
Andrew H. Dittman United States
Sean C. Lema United States
Kjell B. Döving Norway
Judy A. King South Africa
Kaoru Kubokawa Japan
Hiroshi Ueda Japan
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Citations per year

Countries citing papers authored by Peter C. Hubbard

Since Specialization
Citations

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

Fields of papers citing papers by Peter C. Hubbard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Peter C. Hubbard. 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 Peter C. Hubbard. The network helps show where Peter C. Hubbard may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 86 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008100
2 200793
3 201890
4 201563
5 200561
6 200852
7 201449
8 200645
9 200244
10 200242
11 200039
12 200738
13 199935
14 200934
15 200732
16 200231
17 201830
18 200930
19 200330
20 201528

About Peter C. Hubbard

Peter C. Hubbard is a scholar working on Cellular and Molecular Neuroscience, Aquatic Science, Sensory Systems, Ecology and Ecology, Evolution, Behavior and Systematics, having authored 86 papers that have together received 1.8k indexed citations. Recurring topics across this work include Neurobiology and Insect Physiology Research (28 papers), Aquaculture Nutrition and Growth (26 papers), Olfactory and Sensory Function Studies (25 papers), Reproductive biology and impacts on aquatic species (20 papers), Animal Behavior and Reproduction (17 papers), Physiological and biochemical adaptations (15 papers), Advanced Chemical Sensor Technologies (10 papers) and Aquaculture disease management and microbiota (8 papers). The work is most often cited by research in Physiology (347 citations), Aquatic Science (475 citations), Sensory Systems (288 citations), Ecology, Evolution, Behavior and Systematics (520 citations) and Nature and Landscape Conservation (281 citations). Peter C. Hubbard has collaborated with scholars based in Portugal, United Kingdom and Spain. Frequent co-authors include Adelino V. M. Canário, Eduardo N. Barata, Mar Huertas, Zélia Velez, Tina Keller‐Costa, Olinda Almeida, Antonio M. A. Miranda, R. J. Balment, Catherine R. McCrohan and Joan Cerdà. Their work appears in journals such as Journal of Experimental Biology, Journal of Fish Biology, General and Comparative Endocrinology, Journal of Comparative Physiology A and Aquaculture.

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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