Peter T. Mora
Impact in
- Virology top 5%
- HIV Research and Treatment
- Molecular Biology top 10%
- Glycosylation and Glycoproteins Research
Papers in
-
- Glycosylation and Glycoproteins Research 9
- RNA Interference and Gene Delivery 9
- Genetics 16
- Virus-based gene therapy research 15
- Co-authors
- Roscoe O. Brady (8 shared papers)Vivian W. McFarland (8 shared papers)John Wood (7 shared papers)John M. Louis (7 shared papers)Stephen Oroszlan (6 shared papers)Federico A. Cumar (2 shared papers)Krish Chandrasekaran (6 shared papers)Chung-Ming Chang (4 shared papers)
- Journals
- Virology (7 papers)Journal of Biological Chemistry (7 papers)Biochemical and Biophysical Research Communications (6 papers)Journal of the American Chemical Society (5 papers)Nature (5 papers)
- Partner nations
- United StatesItalyFrance
In The Last Decade
Peter T. Mora
64 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 104
- Virology 180
- Molecular Biology 1.1k
- Oncology 369
- Biotechnology 129
- Genetics 363
Countries citing papers authored by Peter T. Mora
This map shows the geographic impact of Peter 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 Peter 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 Peter T. Mora more than expected).
Fields of papers citing papers by Peter T. Mora
This network shows the impact of papers produced by Peter 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 Peter T. Mora. The network helps show where Peter T. Mora may publish in the future.
Co-authors
The 25 scholars most cited alongside Peter 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 65 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1969 | 145 | |
| 2 | 1970 | 123 | |
| 3 | 1972 | 86 | |
| 4 | 1977 | 84 | |
| 5 | 1970 | 72 | |
| 6 | 1980 | 71 | |
| 7 | 1991 | 66 | |
| 8 | 1988 | 65 | |
| 9 | 1971 | 65 | |
| 10 | 1958 | 56 | |
| 11 | 1968 | 52 | |
| 12 | 1980 | 49 | |
| 13 | 1989 | 49 | |
| 14 | 1970 | 47 | |
| 15 | 1989 | 46 | |
| 16 | 1959 | 37 | |
| 17 | 1958 | 36 | |
| 18 | 1963 | 35 | |
| 19 | 1971 | 34 | |
| 20 | 1989 | 33 |
About Peter T. Mora
Peter T. Mora is a scholar working on Molecular Biology, Genetics, Organic Chemistry, Ecology and Biomaterials, having authored 65 papers that have together received 1.8k indexed citations. Recurring topics across this work include Virus-based gene therapy research (15 papers), Glycosylation and Glycoproteins Research (9 papers), RNA Interference and Gene Delivery (9 papers), biodegradable polymer synthesis and properties (9 papers), Bacteriophages and microbial interactions (9 papers), Monoclonal and Polyclonal Antibodies Research (8 papers), Carbohydrate Chemistry and Synthesis (8 papers) and HIV Research and Treatment (7 papers). The work is most often cited by research in Virology (180 citations), Molecular Biology (1.1k citations), Oncology (369 citations), Biotechnology (129 citations) and Genetics (363 citations). Peter T. Mora has collaborated with scholars based in United States, Italy and France. Frequent co-authors include Roscoe O. Brady, Vivian W. McFarland, John Wood, John M. Louis, Stephen Oroszlan, Federico A. Cumar, Krish Chandrasekaran, Chung-Ming Chang, Roy M. Bradley and Ewald M. Wondrak. Their work appears in journals such as Virology, Journal of Biological Chemistry, Biochemical and Biophysical Research Communications, Journal of the American Chemical Society and Nature.
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.