A. G. Morris
- Co-authors
- Ling S. WongIan FraserKeelin O’DonoghueD. C. BurkeVittorio DefendiMark L. SteinbergLaura LinehanR. Cassingéna
- Topics
- Virus-based gene therapy research (10 papers)Assisted Reproductive Technology and Twin Pregnancy (4 papers)Ectopic Pregnancy Diagnosis and Management (4 papers)
- Journals
- Proceedings of the National Academy of SciencesThe Journal of Experimental MedicineJournal of Cell Science
- Partner nations
- United KingdomIrelandFrance
In The Last Decade
A. G. Morris
26 papers receiving 362 citations
Peers
Comparison fields: 5 of 71
- Oncology 115
- Molecular Biology 108
- Epidemiology 92
- Immunology 67
- Genetics 59
Countries citing papers authored by A. G. Morris
This map shows the geographic impact of A. G. Morris'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 A. G. Morris with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites A. G. Morris more than expected).
Fields of papers citing papers by A. G. Morris
This network shows the impact of papers produced by A. G. Morris. 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 A. G. Morris. The network helps show where A. G. Morris may publish in the future.
Co-authorship network of co-authors of A. G. Morris
This figure shows the co-authorship network connecting the top 25 collaborators of A. G. Morris. A scholar is included among the top collaborators of A. G. Morris 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 A. G. Morris. A. G. Morris is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 12 | |
| 2 | 54 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 10 | |
| 6 | 15 | |
| 7 | 12 | |
| 8 | 20 | |
| 9 | Detection of circulating tumour cells and nodal metastasis by reverse transcriptase-polymerase chain reaction technique. | 36 |
| 10 | 15 | |
| 11 | Reduced stimulation of helper T cells by Ki-ras transformed cells. | 8 |
| 12 | Regulation of IFN-gamma-induced host cell MHC antigen expression by Kirsten MSV and MLV. I. Effects on class I antigen expression. | 17 |
| 13 | 14 | |
| 14 | 7 | |
| 15 | 36 | |
| 16 | 8 | |
| 17 | 36 | |
| 18 | 9 | |
| 19 | 5 | |
| 20 | 5 |
About A. G. Morris
A. G. Morris is a scholar working on Transplantation, Genetics and Animal Science and Zoology, having authored 26 papers that have together received 385 indexed citations. Recurring topics across this work include Virus-based gene therapy research (10 papers), Assisted Reproductive Technology and Twin Pregnancy (4 papers) and Ectopic Pregnancy Diagnosis and Management (4 papers). The work is most often cited by research in Transplantation (12 citations), Oncology (115 citations) and Obstetrics and Gynecology (25 citations). A. G. Morris has collaborated with scholars based in United Kingdom, Ireland and France. Frequent co-authors include Ling S. Wong, Ian Fraser, Keelin O’Donoghue, D. C. Burke, Vittorio Defendi, Mark L. Steinberg, Laura Linehan, R. Cassingéna, S. Estrade and H. G. Suarez. Their work appears in journals such as Proceedings of the National Academy of Sciences, The Journal of Experimental Medicine and Journal of Cell 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.