Michael C. O’Neill

1.4k citations
31 papers · 1.3k · h-index 19

Impact in

    • Muscle Physiology and Disorders
    • RNA and protein synthesis mechanisms
    • Machine Learning in Bioinformatics
    • Genomics and Phylogenetic Studies
    • Gene expression and cancer classification
  • Genetics top 10%
    • Bacterial Genetics and Biotechnology

Papers in

    • RNA and protein synthesis mechanisms 7
    • Muscle Physiology and Disorders 5
    • DNA and Nucleic Acid Chemistry 4
    • Gene expression and cancer classification 3
    • Pluripotent Stem Cells Research 3
    • Genomics and Chromatin Dynamics 3
    • Bacterial Genetics and Biotechnology 7

Michael C. O’Neill

31 papers receiving 1.2k citations

Peers

Michael C. O’Neill
Comparison fields: 5 of 112
  • Molecular Biology 981
  • Genetics 320
  • Aging 16
  • Cell Biology 118
  • Ecology 112
Replace Maurizia Caruso with:
Maurizia Caruso Italy
Alexander Sturn Austria
David Ovelleiro Spain
Javier Santoyo‐López Spain
Quinn Lu United States
Hiroaki Shizuya United States
Vsevolod J. Makeev Russia
Rasmus Wernersson Denmark
Dan Canaani Israel
G. Thomas Hayman United States
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Citations per field
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Maurizia Caruso · 1×
Citations per year

Countries citing papers authored by Michael C. O’Neill

Since Specialization
Citations

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

Fields of papers citing papers by Michael C. O’Neill

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1972242
2 1989108
3 200381
4 199177
5 197277
6 197468
7 200666
8 200258
9 198949
10 199246
11 198945
12 198144
13 197239
14 200933
15 197232
16 197030
17 199228
18 199424
19 198720
20 201217

About Michael C. O’Neill

Michael C. O’Neill is a scholar working on Molecular Biology, Genetics, Ecology, Cardiology and Cardiovascular Medicine and Immunology, having authored 31 papers that have together received 1.3k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (7 papers), Bacterial Genetics and Biotechnology (7 papers), Muscle Physiology and Disorders (5 papers), DNA and Nucleic Acid Chemistry (4 papers), Bacteriophages and microbial interactions (4 papers), Gene expression and cancer classification (3 papers), Pluripotent Stem Cells Research (3 papers) and Genomics and Chromatin Dynamics (3 papers). The work is most often cited by research in Molecular Biology (981 citations), Genetics (320 citations), Aging (16 citations), Cell Biology (118 citations) and Ecology (112 citations). Michael C. O’Neill has collaborated with scholars based in United States, Finland and Japan. Frequent co-authors include Frank E. Stockdale, Song Li, Ivan Erill, Benoît De Crombrugghe, Richard C. Strohman, Kevin L. Griffith, Richard E. Wolf, Ishita M. Shah, Todd Myers and Alan P. Kendal. Their work appears in journals such as Developmental Biology, Nucleic Acids Research, Journal of Bacteriology, The Journal of Cell Biology and Nature.

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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