Hassibullah Akeefe
Impact in
- Physiology top 5%
- Alzheimer's disease research and treatments
- Neurology top 10%
- Neuroinflammation and Neurodegeneration Mechanisms
Papers in
-
- Viral Infectious Diseases and Gene Expression in Insects 3
- S100 Proteins and Annexins 2
- RNA Interference and Gene Delivery 2
- Genetics 5
- Virus-based gene therapy research 4
- Co-authors
- Robert W. Mahley (6 shared papers)Robert E. Pitas (3 shared papers)Manuel Buttini (3 shared papers)Lennart Mucke (3 shared papers)Tony Wyss‐Coray (3 shared papers)Matthias Orth (2 shared papers)Stefano Bellosta (2 shared papers)Helén L. Dichek (3 shared papers)
- Journals
- Journal of Lipid Research (2 papers)Experimental Biology and Medicine (1 paper)PLoS ONE (1 paper)Neuroscience (1 paper)Gene Therapy (1 paper)
- Partner nations
- United StatesAustriaJapan
In The Last Decade
Hassibullah Akeefe
12 papers receiving 898 citations
Peers
Comparison fields: 5 of 61
- Physiology 462
- Neurology 89
- Cellular and Molecular Neuroscience 185
- Endocrinology, Diabetes and Metabolism 150
- Biochemistry 47
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 | 302 | |
| 2 | 1999 | 265 | |
| 3 | 1998 | 96 | |
| 4 | 2000 | 90 | |
| 5 | 2009 | 81 | |
| 6 | Hepatic lipase overexpression lowers remnant and LDL levels by a noncatalytic mechanism in LDL receptor-deficient mice. | 2001 | 32 |
| 7 | 2001 | 30 | |
| 8 | 2017 | 18 | |
| 9 | 2022 | 9 | |
| 10 | 2005 | 4 | |
| 11 | 2021 | 3 | |
| 12 | 2008 | 1 |
About Hassibullah Akeefe
Hassibullah Akeefe is a scholar working on Molecular Biology, Genetics, Endocrinology, Diabetes and Metabolism, Physiology and Cellular and Molecular Neuroscience, having authored 12 papers that have together received 931 indexed citations. Recurring topics across this work include Virus-based gene therapy research (4 papers), Alzheimer's disease research and treatments (3 papers), Viral Infectious Diseases and Gene Expression in Insects (3 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers), S100 Proteins and Annexins (2 papers), RNA Interference and Gene Delivery (2 papers), Lipid metabolism and biosynthesis (2 papers) and HIV Research and Treatment (2 papers). The work is most often cited by research in Physiology (462 citations), Neurology (89 citations), Cellular and Molecular Neuroscience (185 citations), Endocrinology, Diabetes and Metabolism (150 citations) and Biochemistry (47 citations). Hassibullah Akeefe has collaborated with scholars based in United States, Austria and Japan. Frequent co-authors include Robert W. Mahley, Robert E. Pitas, Manuel Buttini, Lennart Mucke, Tony Wyss‐Coray, Matthias Orth, Stefano Bellosta, Helén L. Dichek, Sarah Johnson and Walter J. Brecht. Their work appears in journals such as Journal of Lipid Research, Experimental Biology and Medicine, PLoS ONE, Neuroscience and Gene Therapy.
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.