Sean Hooper

6.3k citations
32 papers · 2.0k indexed · h-index 23

Impact in

    • Genomics and Phylogenetic Studies
    • RNA and protein synthesis mechanisms
    • Bioinformatics and Genomic Networks
    • DNA Repair Mechanisms
  • Ecology top 5%
    • Microbial Community Ecology and Physiology
    • Bacteriophages and microbial interactions

Papers in

    • Microbial Community Ecology and Physiology 10
    • Bacteriophages and microbial interactions 4
    • Genomics and Phylogenetic Studies 20
    • Bioinformatics and Genomic Networks 6
    • RNA and protein synthesis mechanisms 6
    • Cancer-related gene regulation 4
    • Machine Learning in Bioinformatics 3

Sean Hooper

32 papers receiving 2.0k citations

Peers

Sean Hooper
Comparison fields: 5 of 138
  • Molecular Biology 1.5k
  • Ecology 501
  • Endocrinology 52
  • Genetics 273
  • Oncology 241
Replace Barış Ethem Süzek with:
Barış Ethem Süzek United States
Tobias Ternent United Kingdom
Tatiana V. Karpinets United States
Takeaki Taniguchi Japan
Saskia Hiltemann Netherlands
Gerhard Mayer Germany
Helena Rasche Germany
Felipe Rodrigues da Silva Brazil
Takashi Abe Japan
Kyung Mo Kim South Korea
Sean Hooper relative to Barış Ethem Süzek United States Barış Ethem Süzek's profile →
Citations per field
00.5×3.4×
Barış Ethem Süzek · 1×
Citations per year

Countries citing papers authored by Sean Hooper

Since Specialization
Citations

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

Fields of papers citing papers by Sean Hooper

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 2013279
2 201332
3 20121
4 201221
5 201223
6 201155
7 20119
8 2010234
9 200922
10 200948
11 200962
12 200947
13 200969
14 20095
15 200818
16 200757
17 2005117
18 200355
19 200235
20 200058

About Sean Hooper

Sean Hooper is a scholar working on Ecology, Molecular Biology, Biotechnology, Food Science and Genetics, having authored 32 papers that have together received 2.0k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (20 papers), Microbial Community Ecology and Physiology (10 papers), Bioinformatics and Genomic Networks (6 papers), RNA and protein synthesis mechanisms (6 papers), Bacteriophages and microbial interactions (4 papers), Cancer-related gene regulation (4 papers), Machine Learning in Bioinformatics (3 papers) and Chromosomal and Genetic Variations (3 papers). The work is most often cited by research in Molecular Biology (1.5k citations), Ecology (501 citations), Endocrinology (52 citations), Genetics (273 citations) and Oncology (241 citations). Sean Hooper has collaborated with scholars based in United States, Sweden and Germany. Frequent co-authors include Peer Bork, Nikos C. Kyrpides, Natalia Ivanova, Konrad Foerstner, Christian von Mering, Athanasios Lykidis, Otto G. Berg, Konstantinos Mavromatis, Amrita Pati and Galina Ovchinnikova. Their work appears in journals such as PLoS ONE, Bioinformatics, Journal of Molecular Evolution, BMC Genomics and Genome biology.

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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