Mona AlQatari
Impact in
- Sensory Systems top 2%
- Ion Channels and Receptors
- Olfactory and Sensory Function Studies
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- Neuroscience and Neuropharmacology Research
- Neurobiology and Insect Physiology Research
- Nerve injury and regeneration
Papers in
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- Neuroscience and Neuropharmacology Research 4
- Nerve injury and regeneration 2
- Neurobiology and Insect Physiology Research 2
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- Ion channel regulation and function 4
- Signaling Pathways in Disease 1
- Co-authors
- Martin Koltzenburg (6 shared papers)Stephen J. Marsh (2 shared papers)Gayle M. Passmore (2 shared papers)David A. Brown (2 shared papers)Jens Hjerling‐Leffler (1 shared paper)Patrik Ernfors (1 shared paper)Clare H. Munns (1 shared paper)Elizabeth Matthews (1 shared paper)
- Journals
- Journal of Neuroscience (3 papers)The Journal of Physiology (1 paper)Pain (1 paper)Cell Death and Disease (1 paper)Cell Calcium (1 paper)
- Partner nations
- United KingdomItalySweden
In The Last Decade
Mona AlQatari
8 papers receiving 810 citations
Peers
Comparison fields: 5 of 75
- Sensory Systems 254
- Cellular and Molecular Neuroscience 466
- Physiology 303
- Molecular Biology 477
- Developmental Neuroscience 24
Countries citing papers authored by Mona AlQatari
This map shows the geographic impact of Mona AlQatari'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 Mona AlQatari with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mona AlQatari more than expected).
Fields of papers citing papers by Mona AlQatari
This network shows the impact of papers produced by Mona AlQatari. 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 Mona AlQatari. The network helps show where Mona AlQatari may publish in the future.
Co-authors
The 25 scholars most cited alongside Mona AlQatari, 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 | 2003 | 286 | |
| 2 | 2007 | 159 | |
| 3 | 2006 | 102 | |
| 4 | 2003 | 102 | |
| 5 | 2003 | 69 | |
| 6 | 2011 | 56 | |
| 7 | 2011 | 41 | |
| 8 | 2018 | 7 | |
| 9 | A MUTATION OF THE CYTOPLASMIC DYNEIN HEAVY CHAIN GENE Dync1h1 CAUSES A SEVERE SENSORY NEUROPATHY | 2009 | 0 |
About Mona AlQatari
Mona AlQatari is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Physiology, Sensory Systems and Cardiology and Cardiovascular Medicine, having authored 9 papers that have together received 822 indexed citations. Recurring topics across this work include Ion channel regulation and function (4 papers), Neuroscience and Neuropharmacology Research (4 papers), Pain Mechanisms and Treatments (3 papers), Nerve injury and regeneration (2 papers), Ion Channels and Receptors (2 papers), Neurobiology and Insect Physiology Research (2 papers), Neurogenesis and neuroplasticity mechanisms (1 paper) and Signaling Pathways in Disease (1 paper). The work is most often cited by research in Sensory Systems (254 citations), Cellular and Molecular Neuroscience (466 citations), Physiology (303 citations), Molecular Biology (477 citations) and Developmental Neuroscience (24 citations). Mona AlQatari has collaborated with scholars based in United Kingdom, Italy and Sweden. Frequent co-authors include Martin Koltzenburg, Stephen J. Marsh, Gayle M. Passmore, David A. Brown, Jens Hjerling‐Leffler, Patrik Ernfors, Clare H. Munns, Elizabeth Matthews, Terry Brown and Martin J. Main. Their work appears in journals such as Journal of Neuroscience, The Journal of Physiology, Pain, Cell Death and Disease and Cell Calcium.
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.