Tim P. Bean

3k citations
61 papers · 2.2k · 1 hit paper · h-index 24

Impact in

  • Physiology top 2%
    • Reproductive biology and impacts on aquatic species
  • Genetics top 5%
    • Genetic and phenotypic traits in livestock
    • Genetic diversity and population structure

Papers in

Tim P. Bean

58 papers receiving 2.2k citations

Tim P. Bean's Hit Papers

Harnessing genomics to fast-track genetic improvement in aquaculture 2020 · 448 citations
4480+2+4Years since publication100200300400

Peers

Tim P. Bean
Comparison fields: 5 of 88
  • Physiology 123
  • Genetics 772
  • Health, Toxicology and Mutagenesis 257
  • Global and Planetary Change 345
  • Aquatic Science 90
Replace Fucun Wu with:
Fucun Wu China
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Georgios Kotoulas Greece
Fengji Tan China
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Robert W Chapman United States
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Xiaoteng Fu China
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Countries citing papers authored by Tim P. Bean

Since Specialization
Citations

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

Fields of papers citing papers by Tim P. Bean

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 61 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Harnessing genomics to fast-track genetic improvement in aquaculture
Hit paper breakdown →
2020448
2 2013220
3 2021122
4 2018104
5 202187
6 201785
7 201481
8 201777
9 200973
10 202061
11 201860
12 201351
13 202151
14 201849
15 202147
16 201346
17 201935
18 201734
19 201734
20 201633

About Tim P. Bean

Tim P. Bean is a scholar working on Global and Planetary Change, Genetics, Health, Toxicology and Mutagenesis, Physiology and Immunology, having authored 61 papers that have together received 2.2k indexed citations. Recurring topics across this work include Genetic and phenotypic traits in livestock (14 papers), Marine Bivalve and Aquaculture Studies (14 papers), Environmental Toxicology and Ecotoxicology (9 papers), Aquaculture disease management and microbiota (8 papers), Genetic diversity and population structure (7 papers), Genomics and Phylogenetic Studies (7 papers), Reproductive biology and impacts on aquatic species (6 papers) and Vibrio bacteria research studies (3 papers). The work is most often cited by research in Physiology (123 citations), Genetics (772 citations), Health, Toxicology and Mutagenesis (257 citations), Global and Planetary Change (345 citations) and Aquatic Science (90 citations). Tim P. Bean has collaborated with scholars based in United Kingdom, France and Spain. Frequent co-authors include Ross D. Houston, Alejandro P. Gutiérrez, Brett P. Lyons, Eduarda M. Santos, Andrew Davie, Manu Kumar Gundappa, Daniel J. Macqueen, Diego Robledo, Tom L. Jenkins and Jamie R. Stevens. Their work appears in journals such as Evolutionary Applications, Journal of Invertebrate Pathology, G3 Genes Genomes Genetics, Aquaculture and Marine Pollution Bulletin.

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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