Amina Tassa
Impact in
- Epidemiology top 0.5%
- Autophagy in Disease and Therapy
- Physiology top 1%
- Calcium signaling and nucleotide metabolism
Papers in
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- Muscle Physiology and Disorders 3
- Glycosylation and Glycoproteins Research 1
- Phosphodiesterase function and regulation 1
- Cell death mechanisms and regulation 1
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- Autophagy in Disease and Therapy 5
- Neuroendocrine Tumor Research Advances 1
- Co-authors
- Beth Levine (2 shared papers)Xueping Qu (1 shared paper)Noboru Mizushima (1 shared paper)Xiao Huan Liang (1 shared paper)Rita Garuti (1 shared paper)Michael Schneider (1 shared paper)Milton Packer (1 shared paper)Sophie Pattingre (1 shared paper)
- Journals
- Journal of Biological Chemistry (1 paper)FEBS Letters (1 paper)Cell (1 paper)Biochemical Journal (1 paper)Journal of Renal Nutrition (1 paper)
- Partner nations
- United StatesFranceGermany
In The Last Decade
Amina Tassa
9 papers receiving 3.5k citations
Amina Tassa's Hit Papers
Peers
Comparison fields: 5 of 110
- Epidemiology 2.4k
- Physiology 306
- Geriatrics and Gerontology 158
- Cell Biology 728
- Parasitology 172
Countries citing papers authored by Amina Tassa
This map shows the geographic impact of Amina Tassa'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 Amina Tassa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Amina Tassa more than expected).
Fields of papers citing papers by Amina Tassa
This network shows the impact of papers produced by Amina Tassa. 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 Amina Tassa. The network helps show where Amina Tassa may publish in the future.
Co-authors
The 25 scholars most cited alongside Amina Tassa, 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 | Bcl-2 Antiapoptotic Proteins Inhibit Beclin 1-Dependent Autophagy Hit paper breakdown → | 2005 | 2931 |
| 2 | 2003 | 177 | |
| 3 | 2000 | 170 | |
| 4 | 2005 | 169 | |
| 5 | 2014 | 52 | |
| 6 | 2007 | 36 | |
| 7 | 2005 | 21 | |
| 8 | 2004 | 13 | |
| 9 | 2010 | 9 |
About Amina Tassa
Amina Tassa is a scholar working on Molecular Biology, Epidemiology, Cell Biology, Physiology and Cellular and Molecular Neuroscience, having authored 9 papers that have together received 3.6k indexed citations. Recurring topics across this work include Autophagy in Disease and Therapy (5 papers), Muscle Physiology and Disorders (3 papers), Muscle metabolism and nutrition (2 papers), Cardiac electrophysiology and arrhythmias (1 paper), Glycosylation and Glycoproteins Research (1 paper), Phosphodiesterase function and regulation (1 paper), Neuroendocrine Tumor Research Advances (1 paper) and Cell death mechanisms and regulation (1 paper). The work is most often cited by research in Epidemiology (2.4k citations), Physiology (306 citations), Geriatrics and Gerontology (158 citations), Cell Biology (728 citations) and Parasitology (172 citations). Amina Tassa has collaborated with scholars based in United States, France and Germany. Frequent co-authors include Beth Levine, Xueping Qu, Noboru Mizushima, Xiao Huan Liang, Rita Garuti, Michael Schneider, Milton Packer, Sophie Pattingre, Didier Attaix and Daniel Béchet. Their work appears in journals such as Journal of Biological Chemistry, FEBS Letters, Cell, Biochemical Journal and Journal of Renal Nutrition.
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.