Hassibullah Akeefe
Impact in
- Physiology top 5%
- Alzheimer's disease research and treatments
- Neurology top 10%
- Neuroinflammation and Neurodegeneration Mechanisms
Papers in
-
- Diabetes, Cardiovascular Risks, and Lipoproteins 3
- Diet, Metabolism, and Disease 1
-
- S100 Proteins and Annexins 2
- Co-authors
- Robert W. Mahley (6 shared papers)Tony Wyss‐Coray (3 shared papers)Manuel Buttini (3 shared papers)Lennart Mucke (3 shared papers)Robert E. Pitas (3 shared papers)Stefano Bellosta (2 shared papers)Matthias Orth (2 shared papers)Helén L. Dichek (3 shared papers)
- Journals
- Journal of Lipid Research (2 papers)Neuroscience (1 paper)Journal of Biological Chemistry (1 paper)Journal of Neuroscience (1 paper)PubMed (2 papers)
- Partner nations
- United StatesAustriaJapan
In The Last Decade
Hassibullah Akeefe
7 papers receiving 827 citations
Peers
Comparison fields: 5 of 57
- Physiology 460
- Neurology 93
- Endocrinology, Diabetes and Metabolism 169
- Cellular and Molecular Neuroscience 179
- Biochemistry 53
Countries citing papers authored by Hassibullah Akeefe
This map shows the geographic impact of Hassibullah Akeefe'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 Hassibullah Akeefe with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hassibullah Akeefe more than expected).
Fields of papers citing papers by Hassibullah Akeefe
This network shows the impact of papers produced by Hassibullah Akeefe. 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 Hassibullah Akeefe. The network helps show where Hassibullah Akeefe may publish in the future.
Co-authors
The 25 scholars most cited alongside Hassibullah Akeefe, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 1999 | 283 | |
| 2 | 1999 | 245 | |
| 3 | 1998 | 94 | |
| 4 | 2000 | 87 | |
| 5 | 2009 | 76 | |
| 6 | Hepatic lipase overexpression lowers remnant and LDL levels by a noncatalytic mechanism in LDL receptor-deficient mice. | 2001 | 32 |
| 7 | 2001 | 29 |
About Hassibullah Akeefe
Hassibullah Akeefe is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology, Physiology, Cellular and Molecular Neuroscience and Cardiology and Cardiovascular Medicine, having authored 7 papers that have together received 846 indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers), Alzheimer's disease research and treatments (3 papers), Lipid metabolism and disorders (2 papers), S100 Proteins and Annexins (2 papers), Lipid metabolism and biosynthesis (2 papers), Diet, Metabolism, and Disease (1 paper), Cholesterol and Lipid Metabolism (1 paper) and Muscle metabolism and nutrition (1 paper). The work is most often cited by research in Physiology (460 citations), Neurology (93 citations), Endocrinology, Diabetes and Metabolism (169 citations), Cellular and Molecular Neuroscience (179 citations) and Biochemistry (53 citations). Hassibullah Akeefe has collaborated with scholars based in United States, Austria and Japan. Frequent co-authors include Robert W. Mahley, Tony Wyss‐Coray, Manuel Buttini, Lennart Mucke, Robert E. Pitas, Stefano Bellosta, Matthias Orth, Helén L. Dichek, Sarah Johnson and Walter J. Brecht. Their work appears in journals such as Journal of Lipid Research, Neuroscience, Journal of Biological Chemistry, Journal of Neuroscience and PubMed.
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.