Gerard J. McGarrity
- Molecular Biology top 5%
- Genetics top 1%
- Oncology top 5%
- Microbiology top 0.5%
- Epidemiology top 5%
- Co-authors
- Hitoshi KotaniYa‐Wen ChiangEdward OttoR. Michael BlaeseL.L. CoriellW.F. AndersonZhifeng LongDennis A. Carson
- Topics
- Microbial infections and disease research (33 papers)Virus-based gene therapy research (22 papers)Toxoplasma gondii Research Studies (12 papers)
- Partner nations
- United StatesFranceUnited Kingdom
In The Last Decade
Gerard J. McGarrity
87 papers receiving 2.5k citations
Hit Papers
Peers
Comparison fields: 5 of 117
- Molecular Biology 1.3k
- Genetics 1.3k
- Oncology 564
- Microbiology 477
- Epidemiology 473
Countries citing papers authored by Gerard J. McGarrity
This map shows the geographic impact of Gerard J. McGarrity'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 Gerard J. McGarrity with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gerard J. McGarrity more than expected).
Fields of papers citing papers by Gerard J. McGarrity
This network shows the impact of papers produced by Gerard J. McGarrity. 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 Gerard J. McGarrity. The network helps show where Gerard J. McGarrity may publish in the future.
Co-authorship network of co-authors of Gerard J. McGarrity
This figure shows the co-authorship network connecting the top 25 collaborators of Gerard J. McGarrity. A scholar is included among the top collaborators of Gerard J. McGarrity based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Gerard J. McGarrity. Gerard J. McGarrity is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 89 | |
| 2 | 22 | |
| 3 | 17 | |
| 4 | 7 | |
| 5 | 29 | |
| 6 | 44 | |
| 7 | Therapy of malignant brain tumors by intratumoral implantation of retroviral vector-producing cellsbreakdown → | 539 |
| 8 | 21 | |
| 9 | 12 | |
| 10 | 95 | |
| 11 | 1 | |
| 12 | Malignant transformation by Spiroplasma mirum. | 3 |
| 13 | 23 | |
| 14 | 7 | |
| 15 | 4 | |
| 16 | 4 | |
| 17 | 3 | |
| 18 | 2 | |
| 19 | 2 | |
| 20 | 12 |
About Gerard J. McGarrity
Gerard J. McGarrity is a scholar working on Microbiology, Parasitology and Applied Microbiology and Biotechnology, having authored 87 papers that have together received 2.6k indexed citations. Recurring topics across this work include Microbial infections and disease research (33 papers), Virus-based gene therapy research (22 papers) and Toxoplasma gondii Research Studies (12 papers). The work is most often cited by research in Microbiology (477 citations), Genetics (1.3k citations) and Chemical Health and Safety (19 citations). Gerard J. McGarrity has collaborated with scholars based in United States, France and United Kingdom. Frequent co-authors include Hitoshi Kotani, Ya‐Wen Chiang, Edward Otto, R. Michael Blaese, L.L. Coriell, W.F. Anderson, Zhifeng Long, Dennis A. Carson, Edward H. Oldfield and John J. Viola. Their work appears in journals such as Nature Medicine, Blood and JNCI Journal of the National Cancer Institute.
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.