Sean C. Hackett

16.1k citations
8 papers · 11.4k · 1 hit paper · h-index 4

Impact in

Papers in

Sean C. Hackett

8 papers receiving 11.1k citations

Sean C. Hackett's Hit Papers

Global burden of bacterial antimicrobial resistance in 2019: a systematic analysis 2022 · 11.3k citations
11.3k0+1+2Years since publication2.5k5k7.5k10k

Peers

Sean C. Hackett
Comparison fields: 5 of 165
  • Applied Microbiology and Biotechnology 2.4k
  • Molecular Medicine 2.7k
  • Microbiology 644
  • Pollution 886
  • Clinical Biochemistry 284
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Suppawat Boonkasidecha Thailand
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Edna Ooko Germany
Marianne Holm South Korea
Elsa Kobeissi United Kingdom
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Citations per year

Countries citing papers authored by Sean C. Hackett

Since Specialization
Citations

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

Fields of papers citing papers by Sean C. Hackett

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 5 scholars most cited alongside Sean C. Hackett, 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 Sean C. Hackett Line = papers co-authored together Sean C. Hackett links everyone, so they are left out of the graph.

All Works

8 of 8 papers shown
#Work
1
Global burden of bacterial antimicrobial resistance in 2019: a systematic analysis
Hit paper breakdown →
202211306
2 201620
3 201319
4 20199
5 20184
6 20143
7 20163
8 20182

About Sean C. Hackett

Sean C. Hackett is a scholar working on Insect Science, Ecology, Evolution, Behavior and Systematics, Experimental and Cognitive Psychology, Developmental Biology and Applied Microbiology and Biotechnology, having authored 8 papers that have together received 11.4k indexed citations. Recurring topics across this work include Animal Behavior and Reproduction (3 papers), Evolutionary Game Theory and Cooperation (3 papers), Insect Resistance and Genetics (2 papers), Insect behavior and control techniques (2 papers), Evolutionary Psychology and Human Behavior (2 papers), Insect-Plant Interactions and Control (1 paper), Insect symbiosis and bacterial influences (1 paper) and Mathematical and Theoretical Epidemiology and Ecology Models (1 paper). The work is most often cited by research in Applied Microbiology and Biotechnology (2.4k citations), Molecular Medicine (2.7k citations), Microbiology (644 citations), Pollution (886 citations) and Clinical Biochemistry (284 citations). Sean C. Hackett has collaborated with scholars based in United Kingdom, Germany and United States. Frequent co-authors include Michael B. Bonsall, Alison Jane Karley, Alison Elizabeth Bennett, Graeme D. Ruxton and H. Martin Schaefer. Their work appears in journals such as Journal of Evolutionary Biology, Ecological Applications, The Lancet, Proceedings of the Royal Society B Biological Sciences and Journal of Applied Ecology.

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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