Daniel O’Shea

501 citations
12 papers · 398 · h-index 10

Impact in

Papers in

    • Microbial Metabolic Engineering and Bioproduction 3
    • Fungal and yeast genetics research 2
    • Gene expression and cancer classification 1
    • Microbial Natural Products and Biosynthesis 3

Daniel O’Shea

12 papers receiving 387 citations

Peers

Daniel O’Shea
Comparison fields: 5 of 80
  • Biophysics 59
  • Biotechnology 30
  • Pharmacology 51
  • Oncology 66
  • Molecular Biology 147
Replace Joseph Zock with:
Joseph Zock United States
Chakresh Kumar Jain India
Hirotaka Hoshi Japan
Lucky Poh Wah Goh Malaysia
Firoozeh Abolhasani Zadeh Iran
Al’aina Yuhainis Firus Khan Malaysia
Heval Ataş Türkiye
Md. Khurshid Alam Khan India
Stanislav S. Terekhov Russia
Chen Tang China
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Citations per field
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Joseph Zock · 1×
Citations per year

Countries citing papers authored by Daniel O’Shea

Since Specialization
Citations

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

Fields of papers citing papers by Daniel O’Shea

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel O’Shea. 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 Daniel O’Shea. The network helps show where Daniel O’Shea may publish in the future.

Co-authors

The 15 scholars most cited alongside Daniel O’Shea, 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 Daniel O’Shea Line = papers co-authored together Daniel O’Shea links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1 200369
2 200469
3 201059
4 200855
5 200841
6 200026
7 200820
8 200020
9 200515
10 200314
11 20068
12 19982

About Daniel O’Shea

Daniel O’Shea is a scholar working on Molecular Biology, Pharmacology, Biomedical Engineering, Artificial Intelligence and Oncology, having authored 12 papers that have together received 398 indexed citations. Recurring topics across this work include Biofuel production and bioconversion (3 papers), Microbial Metabolic Engineering and Bioproduction (3 papers), Microbial Natural Products and Biosynthesis (3 papers), Fungal and yeast genetics research (2 papers), AI in cancer detection (2 papers), Gene expression and cancer classification (1 paper), Enzyme Structure and Function (1 paper) and Microbial Metabolites in Food Biotechnology (1 paper). The work is most often cited by research in Biophysics (59 citations), Biotechnology (30 citations), Pharmacology (51 citations), Oncology (66 citations) and Molecular Biology (147 citations). Daniel O’Shea has collaborated with scholars based in Ireland, United States and France. Frequent co-authors include Padraig K. Walsh, P. Dervan, Daniel Johnston, Anthony O’Grady, Catherine Conway, Elaine W. Kay, Yvonne Connolly, Alan Hanley, Michael Jeffers and Christian Gulmann. Their work appears in journals such as Applied Microbiology and Biotechnology, Histochemistry and Cell Biology, Histopathology, Journal of Microbiological Methods and Journal of Medical Internet Research.

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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