Nabil Matmati
Impact in
- Cell Biology top 5%
- Endoplasmic Reticulum Stress and Disease
- Cellular transport and secretion
- Aging top 10%
Papers in
-
- Sphingolipid Metabolism and Signaling 11
- Fungal and yeast genetics research 7
- DNA Repair Mechanisms 5
- Lipid Membrane Structure and Behavior 4
- Cell Biology 11
- Endoplasmic Reticulum Stress and Disease 6
- Cellular transport and secretion 6
- Co-authors
- Yusuf A. Hannun (19 shared papers)David Montefusco (6 shared papers)Christopher J. Clarke (2 shared papers)Motohiro Tani (1 shared paper)Norma Marchesini (1 shared paper)C.F. Snook (1 shared paper)Hiroshi Kitagaki (3 shared papers)L. Ashley Cowart (3 shared papers)
- Journals
- Journal of Biological Chemistry (5 papers)The FASEB Journal (1 paper)BMC Genetics (1 paper)Genetics (1 paper)Chemistry and Physics of Lipids (1 paper)
- Partner nations
- United StatesItalyPortugal
In The Last Decade
Nabil Matmati
29 papers receiving 718 citations
Peers
Comparison fields: 5 of 74
- Cell Biology 241
- Aging 23
- Molecular Biology 583
- Biochemistry 45
- Physiology 26
Countries citing papers authored by Nabil Matmati
This map shows the geographic impact of Nabil Matmati'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 Nabil Matmati with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nabil Matmati more than expected).
Fields of papers citing papers by Nabil Matmati
This network shows the impact of papers produced by Nabil Matmati. 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 Nabil Matmati. The network helps show where Nabil Matmati may publish in the future.
Co-authors
The 25 scholars most cited alongside Nabil Matmati, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 135 | |
| 2 | 2007 | 73 | |
| 3 | 2009 | 55 | |
| 4 | 2012 | 51 | |
| 5 | 2013 | 47 | |
| 6 | 2008 | 38 | |
| 7 | 2011 | 34 | |
| 8 | 2013 | 30 | |
| 9 | 2013 | 28 | |
| 10 | 2013 | 27 | |
| 11 | 2010 | 22 | |
| 12 | 1999 | 22 | |
| 13 | 2009 | 22 | |
| 14 | 2019 | 20 | |
| 15 | 2011 | 20 | |
| 16 | 2012 | 19 | |
| 17 | 2014 | 15 | |
| 18 | 2001 | 14 | |
| 19 | 2017 | 12 | |
| 20 | 2004 | 12 |
About Nabil Matmati
Nabil Matmati is a scholar working on Molecular Biology, Cell Biology, Plant Science, Physiology and Genetics, having authored 31 papers that have together received 731 indexed citations. Recurring topics across this work include Sphingolipid Metabolism and Signaling (11 papers), Fungal and yeast genetics research (7 papers), Endoplasmic Reticulum Stress and Disease (6 papers), Cellular transport and secretion (6 papers), DNA Repair Mechanisms (5 papers), Lipid Membrane Structure and Behavior (4 papers), Calcium signaling and nucleotide metabolism (2 papers) and Lipid metabolism and biosynthesis (2 papers). The work is most often cited by research in Cell Biology (241 citations), Aging (23 citations), Molecular Biology (583 citations), Biochemistry (45 citations) and Physiology (26 citations). Nabil Matmati has collaborated with scholars based in United States, Italy and Portugal. Frequent co-authors include Yusuf A. Hannun, David Montefusco, Christopher J. Clarke, Motohiro Tani, Norma Marchesini, C.F. Snook, Hiroshi Kitagaki, L. Ashley Cowart, Bidyut K. Mohanty and Silvia Vaena de Avalos. Their work appears in journals such as Journal of Biological Chemistry, The FASEB Journal, BMC Genetics, Genetics and Chemistry and Physics of Lipids.
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.