Joseph C. Obunike
- Endocrinology, Diabetes and Metabolism top 5%
- Molecular Biology
- Cardiology and Cardiovascular Medicine top 5%
- Surgery top 10%
- Cancer Research top 10%
- Co-authors
- Ira J. GoldbergSivaram PillarisettiRichard J. DeckelbaumYadon AradWilliam D. WagnerLatha PakaLars BerglundWilliam S. Blaner
- Topics
- Lipid metabolism and disorders (11 papers)Diabetes, Cardiovascular Risks, and Lipoproteins (6 papers)Proteoglycans and glycosaminoglycans research (6 papers)
- Journals
- Journal of Biological ChemistryJournal of Clinical InvestigationArteriosclerosis Thrombosis and Vascular Biology
- Partner nations
- United StatesJapanNetherlands
In The Last Decade
Joseph C. Obunike
19 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 78
- Endocrinology, Diabetes and Metabolism 422
- Molecular Biology 390
- Cardiology and Cardiovascular Medicine 352
- Surgery 307
- Cancer Research 237
Countries citing papers authored by Joseph C. Obunike
This map shows the geographic impact of Joseph C. Obunike'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 Joseph C. Obunike with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joseph C. Obunike more than expected).
Fields of papers citing papers by Joseph C. Obunike
This network shows the impact of papers produced by Joseph C. Obunike. 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 Joseph C. Obunike. The network helps show where Joseph C. Obunike may publish in the future.
Co-authorship network of co-authors of Joseph C. Obunike
This figure shows the co-authorship network connecting the top 25 collaborators of Joseph C. Obunike. A scholar is included among the top collaborators of Joseph C. Obunike 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 Joseph C. Obunike. Joseph C. Obunike is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 111 | |
| 2 | 22 | |
| 3 | 40 | |
| 4 | 49 | |
| 5 | 74 | |
| 6 | 12 | |
| 7 | 8 | |
| 8 | 37 | |
| 9 | 40 | |
| 10 | 47 | |
| 11 | 91 | |
| 12 | Evidence That Reduced Heparan Sulfate Promotes Lipoprotein Binding to Subendothelial Matrix | 21 |
| 13 | 49 | |
| 14 | 25 | |
| 15 | 47 | |
| 16 | 72 | |
| 17 | 73 | |
| 18 | 110 | |
| 19 | 173 |
About Joseph C. Obunike
Joseph C. Obunike is a scholar working on Cardiology and Cardiovascular Medicine, Immunology and Allergy and Endocrinology, Diabetes and Metabolism, having authored 19 papers that have together received 1.1k indexed citations. Recurring topics across this work include Lipid metabolism and disorders (11 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (6 papers) and Proteoglycans and glycosaminoglycans research (6 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (422 citations), Biochemistry (107 citations) and Cancer Research (237 citations). Joseph C. Obunike has collaborated with scholars based in United States, Japan and Netherlands. Frequent co-authors include Ira J. Goldberg, Sivaram Pillarisetti, Richard J. Deckelbaum, Yadon Arad, William D. Wagner, Latha Paka, Lars Berglund, William S. Blaner, Roseann Piantedosi and Diego Scerbo. Their work appears in journals such as Journal of Biological Chemistry, Journal of Clinical Investigation and Arteriosclerosis Thrombosis and Vascular Biology.
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.