Michael C. O’Neill
Impact in
- Molecular Biology top 10%
- Muscle Physiology and Disorders
- RNA and protein synthesis mechanisms
- Machine Learning in Bioinformatics
- Genomics and Phylogenetic Studies
- Gene expression and cancer classification
- Genomics and Chromatin Dynamics
- Genetics top 10%
- Bacterial Genetics and Biotechnology
Papers in
-
- RNA and protein synthesis mechanisms 8
- Muscle Physiology and Disorders 5
- DNA and Nucleic Acid Chemistry 4
- Genomics and Chromatin Dynamics 3
- CRISPR and Genetic Engineering 3
- Pluripotent Stem Cells Research 3
- Genetics 11
- Bacterial Genetics and Biotechnology 8
- Co-authors
- Frank E. Stockdale (5 shared papers)Song Li (1 shared paper)Ivan Erill (1 shared paper)Benoît De Crombrugghe (1 shared paper)Richard C. Strohman (1 shared paper)Kevin L. Griffith (2 shared papers)Ishita M. Shah (1 shared paper)Todd Myers (1 shared paper)
- Journals
- Developmental Biology (4 papers)Nucleic Acids Research (3 papers)The Journal of Cell Biology (2 papers)Journal of Bacteriology (2 papers)BMC Bioinformatics (2 papers)
- Partner nations
- United StatesFinlandJapan
In The Last Decade
Michael C. O’Neill
31 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 112
- Molecular Biology 945
- Genetics 320
- Aging 16
- Cell Biology 104
- Ecology 112
Countries citing papers authored by Michael C. O’Neill
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
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.
All Works
Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1972 | 230 | |
| 2 | 1989 | 103 | |
| 3 | 2003 | 75 | |
| 4 | 1972 | 71 | |
| 5 | 1991 | 69 | |
| 6 | 2006 | 65 | |
| 7 | 1974 | 65 | |
| 8 | 2002 | 56 | |
| 9 | 1989 | 46 | |
| 10 | 1989 | 43 | |
| 11 | 1981 | 42 | |
| 12 | 1992 | 38 | |
| 13 | 1972 | 32 | |
| 14 | 2009 | 31 | |
| 15 | 1970 | 28 | |
| 16 | 1972 | 27 | |
| 17 | 1992 | 27 | |
| 18 | 1994 | 23 | |
| 19 | 1987 | 20 | |
| 20 | 2012 | 16 |
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 1.2k indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (8 papers), RNA and protein synthesis mechanisms (8 papers), Muscle Physiology and Disorders (5 papers), Bacteriophages and microbial interactions (4 papers), DNA and Nucleic Acid Chemistry (4 papers), Genomics and Chromatin Dynamics (3 papers), CRISPR and Genetic Engineering (3 papers) and Pluripotent Stem Cells Research (3 papers). The work is most often cited by research in Molecular Biology (945 citations), Genetics (320 citations), Aging (16 citations), Cell Biology (104 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, Ishita M. Shah, Todd Myers, Richard E. Wolf and Alan P. Kendal. Their work appears in journals such as Developmental Biology, Nucleic Acids Research, The Journal of Cell Biology, Journal of Bacteriology and BMC Bioinformatics.
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.