John J. Albers
- Surgery top 0.1%
- Endocrinology, Diabetes and Metabolism top 0.05%
- Cardiology and Cardiovascular Medicine top 0.5%
- Molecular Biology top 2%
- Cancer Research top 0.5%
- Co-authors
- Marian C. CheungWilliam R. HazzardSantica M. MarcovinaAlan ChaitXue-Qiao ZhaoEdwin L. BiermanGertrud WolfbauerVeneracion G. Cabana
- Topics
- Lipoproteins and Cardiovascular Health (91 papers)Diabetes, Cardiovascular Risks, and Lipoproteins (74 papers)Cholesterol and Lipid Metabolism (43 papers)
- Partner nations
- United StatesCanadaChina
In The Last Decade
John J. Albers
200 papers receiving 14.1k citations
Hit Papers
Peers
Comparison fields: 5 of 157
- Surgery 8.1k
- Endocrinology, Diabetes and Metabolism 6.7k
- Cardiology and Cardiovascular Medicine 2.9k
- Molecular Biology 2.7k
- Cancer Research 2.6k
Countries citing papers authored by John J. Albers
This map shows the geographic impact of John J. Albers'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 John J. Albers with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John J. Albers more than expected).
Fields of papers citing papers by John J. Albers
This network shows the impact of papers produced by John J. Albers. 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 John J. Albers. The network helps show where John J. Albers may publish in the future.
Co-authorship network of co-authors of John J. Albers
This figure shows the co-authorship network connecting the top 25 collaborators of John J. Albers. A scholar is included among the top collaborators of John J. Albers 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 John J. Albers. John J. Albers is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 16 | |
| 2 | 7 | |
| 3 | 30 | |
| 4 | 48 | |
| 5 | 42 | |
| 6 | 78 | |
| 7 | Simvastatin and Niacin, Antioxidant Vitamins, or the Combination for the Prevention of Coronary Diseasebreakdown → | 1452 |
| 8 | 28 | |
| 9 | 18 | |
| 10 | 80 | |
| 11 | 16 | |
| 12 | 81 | |
| 13 | 156 | |
| 14 | 6 | |
| 15 | 11 | |
| 16 | 31 | |
| 17 | 38 | |
| 18 | Characterization, cell biology, and metabolism | 2 |
| 19 | 41 | |
| 20 | Lipoprotein abnormalities in primary biliary cirrhosis. Association with hepatic lipase inhibition as well as altered cholesterol esterification. | 130 |
About John J. Albers
John J. Albers is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery and Cancer Research, having authored 201 papers that have together received 14.9k indexed citations. Recurring topics across this work include Lipoproteins and Cardiovascular Health (91 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (74 papers) and Cholesterol and Lipid Metabolism (43 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (6.7k citations), Surgery (8.1k citations) and Cancer Research (2.6k citations). John J. Albers has collaborated with scholars based in United States, Canada and China. Frequent co-authors include Marian C. Cheung, William R. Hazzard, Santica M. Marcovina, Alan Chait, Xue-Qiao Zhao, Edwin L. Bierman, Gertrud Wolfbauer, Veneracion G. Cabana, G. Russell Warnick and Lloyd D. Fisher. Their work appears in journals such as New England Journal of Medicine, 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.