Philip Owens
- Molecular Biology top 5%
- Oncology top 2%
- Endocrinology, Diabetes and Metabolism top 1%
- Pediatrics, Perinatology and Child Health top 1%
- Immunology top 5%
- Co-authors
- Harold L. MosesF J BallardMichael W. PickupJulie A. OwensSergey V. NovitskiyXiao‐Jing WangGangwen HanAgnieszka E. Gorska
- Topics
- Growth Hormone and Insulin-like Growth Factors (37 papers)TGF-β signaling in diseases (21 papers)Cancer Cells and Metastasis (21 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Clinical InvestigationThe Journal of Experimental Medicine
- Partner nations
- United StatesAustraliaUnited Kingdom
In The Last Decade
Philip Owens
125 papers receiving 4.6k citations
Peers
Comparison fields: 5 of 129
- Molecular Biology 1.7k
- Oncology 1.1k
- Endocrinology, Diabetes and Metabolism 968
- Pediatrics, Perinatology and Child Health 786
- Immunology 622
Countries citing papers authored by Philip Owens
This map shows the geographic impact of Philip Owens'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 Philip Owens with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Philip Owens more than expected).
Fields of papers citing papers by Philip Owens
This network shows the impact of papers produced by Philip Owens. 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 Philip Owens. The network helps show where Philip Owens may publish in the future.
Co-authorship network of co-authors of Philip Owens
This figure shows the co-authorship network connecting the top 25 collaborators of Philip Owens. A scholar is included among the top collaborators of Philip Owens 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 Philip Owens. Philip Owens is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 10 | |
| 2 | 19 | |
| 3 | 5 | |
| 4 | 34 | |
| 5 | 39 | |
| 6 | 100 | |
| 7 | 89 | |
| 8 | 26 | |
| 9 | 20 | |
| 10 | 122 | |
| 11 | 20 | |
| 12 | 118 | |
| 13 | 129 | |
| 14 | 2 | |
| 15 | 28 | |
| 16 | EFFECT OF INTRAVENOUS INFUSION OF RECOMBINANT OVINE LEPTIN ON UNCOUPLING PROTEIN (UCP)-1 ABUNDANCE IN PERIRENAL ADIPOSE TISSUE IN THE LATE GESTATION SHEEP FETUS | 2 |
| 17 | 61 | |
| 18 | 63 | |
| 19 | 41 | |
| 20 | 41 |
About Philip Owens
Philip Owens is a scholar working on Endocrinology, Diabetes and Metabolism, Behavioral Neuroscience and Oncology, having authored 125 papers that have together received 4.7k indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (37 papers), TGF-β signaling in diseases (21 papers) and Cancer Cells and Metastasis (21 papers). The work is most often cited by research in Obstetrics and Gynecology (482 citations), Endocrinology, Diabetes and Metabolism (968 citations) and Oncology (1.1k citations). Philip Owens has collaborated with scholars based in United States, Australia and United Kingdom. Frequent co-authors include Harold L. Moses, F J Ballard, Michael W. Pickup, Julie A. Owens, Sergey V. Novitskiy, Xiao‐Jing Wang, Gangwen Han, Agnieszka E. Gorska, Anna Chytil and Jeffrey S. Robinson. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and The Journal of Experimental Medicine.
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.