Michael O’Neal
Impact in
- Microbiology top 10%
- Microbial infections and disease research
-
- Cancer Research and Treatments
Papers in
- Genetics 5
- Virus-based gene therapy research 5
-
- Molecular Biology Techniques and Applications 3
- Co-authors
- F. Chris Minion (3 shared papers)Melissa L. Madsen (3 shared papers)John C. Morris (3 shared papers)Rui Qin (2 shared papers)Sean M. McDonough (2 shared papers)Julia Davydova (3 shared papers)Masato Yamamoto (3 shared papers)Barbara Klencke (1 shared paper)
- Journals
- Cancer Gene Therapy (2 papers)Gene Therapy (2 papers)Microbiology (2 papers)Human Gene Therapy (1 paper)Therapeutic Innovation & Regulatory Science (1 paper)
- Partner nations
- United StatesGermanyUnited Kingdom
In The Last Decade
Michael O’Neal
16 papers receiving 325 citations
Peers
Comparison fields: 5 of 57
- Microbiology 57
- Biotechnology 38
- Genetics 92
- Rheumatology 38
- Oncology 65
Countries citing papers authored by Michael O’Neal
This map shows the geographic impact of Michael O’Neal'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 O’Neal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael O’Neal more than expected).
Fields of papers citing papers by Michael O’Neal
This network shows the impact of papers produced by Michael O’Neal. 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 O’Neal. The network helps show where Michael O’Neal may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael O’Neal, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 65 | |
| 2 | 2008 | 45 | |
| 3 | 2010 | 40 | |
| 4 | 2018 | 40 | |
| 5 | 2007 | 29 | |
| 6 | 2009 | 23 | |
| 7 | 2012 | 18 | |
| 8 | 2012 | 15 | |
| 9 | 2007 | 13 | |
| 10 | 2012 | 12 | |
| 11 | 2014 | 11 | |
| 12 | 2013 | 8 | |
| 13 | 2021 | 7 | |
| 14 | 2018 | 5 | |
| 15 | 2016 | 2 | |
| 16 | America in the 1920s | 2005 | 1 |
| 17 | 1983 | 0 |
About Michael O’Neal
Michael O’Neal is a scholar working on Genetics, Molecular Biology, Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging and Microbiology, having authored 17 papers that have together received 334 indexed citations. Recurring topics across this work include Virus-based gene therapy research (5 papers), Radiomics and Machine Learning in Medical Imaging (3 papers), Microbial infections and disease research (3 papers), Molecular Biology Techniques and Applications (3 papers), Lymphoma Diagnosis and Treatment (2 papers), Bacteriophages and microbial interactions (2 papers), CAR-T cell therapy research (2 papers) and Sarcoma Diagnosis and Treatment (1 paper). The work is most often cited by research in Microbiology (57 citations), Biotechnology (38 citations), Genetics (92 citations), Rheumatology (38 citations) and Oncology (65 citations). Michael O’Neal has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include F. Chris Minion, Melissa L. Madsen, John C. Morris, Rui Qin, Sean M. McDonough, Julia Davydova, Masato Yamamoto, John C. Morris, Barbara Klencke and Samantha J. McDonough. Their work appears in journals such as Cancer Gene Therapy, Gene Therapy, Microbiology, Human Gene Therapy and Therapeutic Innovation & Regulatory Science.
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.