P T Mora
Impact in
- Cell Biology top 10%
- Proteoglycans and glycosaminoglycans research
- Oncology top 10%
- Polyomavirus and related diseases
- Cancer-related Molecular Pathways
Papers in
-
- RNA Interference and Gene Delivery 6
- Glycosylation and Glycoproteins Research 5
- Oncology 7
- Polyomavirus and related diseases 7
- Co-authors
- David J. Winterbourne (4 shared papers)Vivian W. McFarland (11 shared papers)Chung-Ming Chang (3 shared papers)Daniel T. Simmons (2 shared papers)Miguel Martı́n (1 shared paper)Samuel W. Luborsky (5 shared papers)R G Martin (3 shared papers)Krish Chandrasekaran (2 shared papers)
- Journals
- Journal of Virology (5 papers)Nature (5 papers)Proceedings of the National Academy of Sciences (4 papers)Journal of Biological Chemistry (2 papers)Molecular and Cellular Biology (1 paper)
- Partner nations
- United StatesTaiwanIndia
In The Last Decade
P T Mora
32 papers receiving 696 citations
Peers
Comparison fields: 5 of 83
- Cell Biology 187
- Oncology 262
- Immunology and Allergy 43
- Genetics 205
- Biotechnology 58
Countries citing papers authored by P T Mora
This map shows the geographic impact of P T Mora'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 P T Mora with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites P T Mora more than expected).
Fields of papers citing papers by P T Mora
This network shows the impact of papers produced by P T Mora. 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 P T Mora. The network helps show where P T Mora may publish in the future.
Co-authors
The 25 scholars most cited alongside P T Mora, 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 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1979 | 119 | |
| 2 | 1981 | 113 | |
| 3 | 1979 | 76 | |
| 4 | 1978 | 71 | |
| 5 | 1982 | 41 | |
| 6 | 1981 | 38 | |
| 7 | 1973 | 32 | |
| 8 | 1977 | 31 | |
| 9 | 1977 | 28 | |
| 10 | 1975 | 26 | |
| 11 | 1966 | 23 | |
| 12 | 1970 | 20 | |
| 13 | 1959 | 19 | |
| 14 | 1963 | 18 | |
| 15 | 1982 | 14 | |
| 16 | 1958 | 14 | |
| 17 | 1966 | 14 | |
| 18 | 1957 | 12 | |
| 19 | 1974 | 12 | |
| 20 | 1961 | 12 |
About P T Mora
P T Mora is a scholar working on Molecular Biology, Oncology, Ecology, Genetics and Immunology, having authored 33 papers that have together received 802 indexed citations. Recurring topics across this work include Polyomavirus and related diseases (7 papers), RNA Interference and Gene Delivery (6 papers), Bacteriophages and microbial interactions (6 papers), Virus-based gene therapy research (6 papers), Glycosylation and Glycoproteins Research (5 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), Immunotherapy and Immune Responses (4 papers) and Proteoglycans and glycosaminoglycans research (4 papers). The work is most often cited by research in Cell Biology (187 citations), Oncology (262 citations), Immunology and Allergy (43 citations), Genetics (205 citations) and Biotechnology (58 citations). P T Mora has collaborated with scholars based in United States, Taiwan and India. Frequent co-authors include David J. Winterbourne, Vivian W. McFarland, Chung-Ming Chang, Daniel T. Simmons, Miguel Martı́n, Samuel W. Luborsky, R G Martin, Krish Chandrasekaran, M. J. Shear and David M. Livingston. Their work appears in journals such as Journal of Virology, Nature, Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Molecular and Cellular Biology.
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.