Jason Hubbard
- Pharmacology top 1%
- Endocrinology, Diabetes and Metabolism top 10%
- Biochemistry top 10%
- Cardiology and Cardiovascular Medicine
- Pharmacology
- Co-authors
- James K. BurmesterTarif AwadAmy BrowerIngrid GlurichCristi R. KingJohn R. SchmelzerHumberto VidailletYaron Turpaz
- Topics
- Bacteriophages and microbial interactions (1 paper)Statistical Methods in Clinical Trials (1 paper)Pharmacogenetics and Drug Metabolism (1 paper)
- Partner nations
- United States
In The Last Decade
Jason Hubbard
3 papers receiving 378 citations
Peers
Comparison fields: 5 of 47
- Pharmacology 333
- Endocrinology, Diabetes and Metabolism 143
- Biochemistry 78
- Cardiology and Cardiovascular Medicine 73
- Pharmacology 60
Countries citing papers authored by Jason Hubbard
This map shows the geographic impact of Jason Hubbard'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 Jason Hubbard with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jason Hubbard more than expected).
Fields of papers citing papers by Jason Hubbard
This network shows the impact of papers produced by Jason Hubbard. 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 Jason Hubbard. The network helps show where Jason Hubbard may publish in the future.
Co-authorship network of co-authors of Jason Hubbard
This figure shows the co-authorship network connecting the top 25 collaborators of Jason Hubbard. A scholar is included among the top collaborators of Jason Hubbard 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 Jason Hubbard. Jason Hubbard 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 | 390 | |
| 3 | Copy number analysis and allele quantitation by Molecular Inversion Probe (MIP) on GeneChip arrays | 1 |
About Jason Hubbard
Jason Hubbard is a scholar working on Statistics and Probability, Pharmacology and Molecular Biology, having authored 3 papers that have together received 392 indexed citations. Recurring topics across this work include Bacteriophages and microbial interactions (1 paper), Statistical Methods in Clinical Trials (1 paper) and Pharmacogenetics and Drug Metabolism (1 paper). The work is most often cited by research in Pharmacology (333 citations), Biochemistry (78 citations) and Endocrinology, Diabetes and Metabolism (143 citations). Jason Hubbard has collaborated with scholars based in United States. Frequent co-authors include James K. Burmester, Tarif Awad, Amy Brower, Ingrid Glurich, Cristi R. King, John R. Schmelzer, Humberto Vidaillet, Yaron Turpaz, Taimour Langaee and Richard L. Berg. Their work appears in journals such as Blood, Cancer Research and The FASEB Journal.
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.