Gary K. Owens
- Molecular Biology top 0.1%
- Immunology top 0.2%
- Cancer Research top 0.1%
- Cardiology and Cardiovascular Medicine top 0.2%
- Surgery top 0.5%
- Co-authors
- Brian R. WamhoffMeena S. KumarSanjay SinhaDelphine GomezMartin R. BennettTadashi YoshidaMatthew R. AlexanderM J Peach
- Topics
- Cell Adhesion Molecules Research (33 papers)Angiogenesis and VEGF in Cancer (24 papers)Kruppel-like factors research (24 papers)
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
Gary K. Owens
221 papers receiving 26.2k citations
Hit Papers
Peers
Comparison fields: 5 of 169
- Molecular Biology 15.2k
- Immunology 4.6k
- Cancer Research 4.4k
- Cardiology and Cardiovascular Medicine 4.3k
- Surgery 3.7k
Countries citing papers authored by Gary K. Owens
This map shows the geographic impact of Gary K. 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 Gary K. Owens with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gary K. Owens more than expected).
Fields of papers citing papers by Gary K. Owens
This network shows the impact of papers produced by Gary K. 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 Gary K. Owens. The network helps show where Gary K. Owens may publish in the future.
Co-authorship network of co-authors of Gary K. Owens
This figure shows the co-authorship network connecting the top 25 collaborators of Gary K. Owens. A scholar is included among the top collaborators of Gary K. 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 Gary K. Owens. Gary K. 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 | 0 | |
| 2 | 5 | |
| 3 | 6 | |
| 4 | 0 | |
| 5 | 5 | |
| 6 | 19 | |
| 7 | 73 | |
| 8 | 100 | |
| 9 | 32 | |
| 10 | Smooth muscle cell phenotypic switching in atherosclerosisbreakdown → | 656 |
| 11 | 82 | |
| 12 | 65 | |
| 13 | 94 | |
| 14 | 87 | |
| 15 | 6 | |
| 16 | 20 | |
| 17 | 67 | |
| 18 | 35 | |
| 19 | 158 | |
| 20 | Expression of smooth muscle and non-muscle myosin heavy chain isoforms in cultured vascular smooth muscle cells | 1 |
About Gary K. Owens
Gary K. Owens is a scholar working on Immunology and Allergy, Molecular Biology and Cancer Research, having authored 227 papers that have together received 26.6k indexed citations. Recurring topics across this work include Cell Adhesion Molecules Research (33 papers), Angiogenesis and VEGF in Cancer (24 papers) and Kruppel-like factors research (24 papers). The work is most often cited by research in Immunology and Allergy (2.4k citations), Cancer Research (4.4k citations) and Molecular Biology (15.2k citations). Gary K. Owens has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Brian R. Wamhoff, Meena S. Kumar, Sanjay Sinha, Delphine Gomez, Martin R. Bennett, Tadashi Yoshida, Matthew R. Alexander, M J Peach, Martina B. Hautmann and M M Thompson. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Circulation.
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.