P. Colosi
- Molecular Biology top 10%
- Genetics top 5%
- Endocrinology, Diabetes and Metabolism top 5%
- Oncology
- Cardiology and Cardiovascular Medicine
- Co-authors
- Frank TalamantesWilliam I. WoodLuis P. VillarrealTakashi MatsushitaY IwakiGregory M. PodsakoffL. OgrenDaniel I. H. Linzer
- Topics
- Growth Hormone and Insulin-like Growth Factors (6 papers)Virus-based gene therapy research (5 papers)Infant Nutrition and Health (4 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistrySHILAP Revista de lepidopterología
- Partner nations
- United StatesChinaJapan
In The Last Decade
P. Colosi
21 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 73
- Molecular Biology 857
- Genetics 691
- Endocrinology, Diabetes and Metabolism 335
- Oncology 222
- Cardiology and Cardiovascular Medicine 120
Countries citing papers authored by P. Colosi
This map shows the geographic impact of P. Colosi'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. Colosi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites P. Colosi more than expected).
Fields of papers citing papers by P. Colosi
This network shows the impact of papers produced by P. Colosi. 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. Colosi. The network helps show where P. Colosi may publish in the future.
Co-authorship network of co-authors of P. Colosi
This figure shows the co-authorship network connecting the top 25 collaborators of P. Colosi. A scholar is included among the top collaborators of P. Colosi 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 P. Colosi. P. Colosi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 5 | |
| 3 | 121 | |
| 4 | 101 | |
| 5 | 1 | |
| 6 | 423 | |
| 7 | Single dose, long-term treatment of beta-thalassemia in mice following intramuscular administration of the erythropoietin gene | 1 |
| 8 | Gene therapy against an experimental glioma using adeno-associated virus vectors. | 65 |
| 9 | AAV vectors can be efficiently produced without helper virus | 8 |
| 10 | 101 | |
| 11 | 127 | |
| 12 | 60 | |
| 13 | 10 | |
| 14 | 46 | |
| 15 | 89 | |
| 16 | 37 | |
| 17 | 45 | |
| 18 | 78 | |
| 19 | 29 | |
| 20 | 36 |
About P. Colosi
P. Colosi is a scholar working on Genetics, Endocrinology, Diabetes and Metabolism and Nutrition and Dietetics, having authored 21 papers that have together received 1.4k indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (6 papers), Virus-based gene therapy research (5 papers) and Infant Nutrition and Health (4 papers). The work is most often cited by research in Genetics (691 citations), Endocrinology, Diabetes and Metabolism (335 citations) and Molecular Biology (857 citations). P. Colosi has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Frank Talamantes, William I. Wood, Luis P. Villarreal, Takashi Matsushita, Y Iwaki, Gregory M. Podsakoff, L. Ogren, Daniel I. H. Linzer, J A Wells and Germaine Fuh. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and SHILAP Revista de lepidopterología.
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.