Mona AlQatari

1.1k total citations
9 papers, 822 citations indexed

About

Mona AlQatari is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Physiology. According to data from OpenAlex, Mona AlQatari has authored 9 papers receiving a total of 822 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Cellular and Molecular Neuroscience, 6 papers in Molecular Biology and 3 papers in Physiology. Recurrent topics in Mona AlQatari's work include Ion channel regulation and function (4 papers), Neuroscience and Neuropharmacology Research (4 papers) and Pain Mechanisms and Treatments (3 papers). Mona AlQatari is often cited by papers focused on Ion channel regulation and function (4 papers), Neuroscience and Neuropharmacology Research (4 papers) and Pain Mechanisms and Treatments (3 papers). Mona AlQatari collaborates with scholars based in United Kingdom, Italy and Sweden. Mona AlQatari's co-authors include Martin Koltzenburg, Stephen J. Marsh, David A. Brown, Gayle M. Passmore, Patrik Ernfors, Jens Hjerling‐Leffler, Clare H. Munns, Martin J. Main, Elizabeth Matthews and Stephen A. Burbidge and has published in prestigious journals such as Journal of Neuroscience, The Journal of Physiology and Pain.

In The Last Decade

Mona AlQatari

8 papers receiving 810 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Mona AlQatari United Kingdom 8 477 466 303 254 131 9 822
Mohini Mistry United Kingdom 6 694 1.5× 502 1.1× 244 0.8× 159 0.6× 191 1.5× 8 882
Michel Lazdunski France 13 627 1.3× 387 0.8× 220 0.7× 151 0.6× 169 1.3× 15 908
J. Stefan Kaczmarek United States 7 341 0.7× 297 0.6× 193 0.6× 350 1.4× 61 0.5× 8 758
Michelle Dourado United States 14 486 1.0× 345 0.7× 172 0.6× 241 0.9× 107 0.8× 15 826
Georg Wietzorrek Austria 14 502 1.1× 362 0.8× 73 0.2× 96 0.4× 156 1.2× 22 789
Fay Heblich United Kingdom 7 575 1.2× 419 0.9× 288 1.0× 61 0.2× 114 0.9× 9 855
J J Singer United States 14 700 1.5× 437 0.9× 166 0.5× 101 0.4× 253 1.9× 17 1.1k
Wei‐Hsin Sun Taiwan 19 619 1.3× 194 0.4× 406 1.3× 282 1.1× 35 0.3× 36 1.1k
Pavel Belan Ukraine 18 602 1.3× 454 1.0× 299 1.0× 116 0.5× 37 0.3× 61 963
Catherine E. Stansfeld United Kingdom 12 808 1.7× 624 1.3× 259 0.9× 172 0.7× 214 1.6× 13 1.1k

Countries citing papers authored by Mona AlQatari

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Mona AlQatari

This figure shows the co-authorship network connecting the top 25 collaborators of Mona AlQatari. A scholar is included among the top collaborators of Mona AlQatari based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Mona AlQatari. Mona AlQatari is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
1.
Clark, Alex, Guillermo Menéndez, Mona AlQatari, et al.. (2018). Functional imaging in microfluidic chambers reveals sensory neuron sensitivity is differentially regulated between neuronal regions. Pain. 159(7). 1413–1425. 7 indexed citations
2.
Cesca, Fabrizia, Bradley Spencer‐Dene, Alberto Arrigoni, et al.. (2011). Kidins220/ARMS is an essential modulator of cardiovascular and nervous system development. Cell Death and Disease. 2(11). e226–e226. 41 indexed citations
3.
Cesca, Fabrizia, Bradley Spencer‐Dene, Joachim Scholz‐Starke, et al.. (2011). Kidins220/ARMS mediates the integration of the neurotrophin and VEGF pathways in the vascular and nervous systems. Cell Death and Differentiation. 19(2). 194–208. 56 indexed citations
4.
AlQatari, Mona, et al.. (2009). A MUTATION OF THE CYTOPLASMIC DYNEIN HEAVY CHAIN GENE Dync1h1 CAUSES A SEVERE SENSORY NEUROPATHY. UCL Discovery (University College London).
5.
Hjerling‐Leffler, Jens, Mona AlQatari, Patrik Ernfors, & Martin Koltzenburg. (2007). Emergence of Functional Sensory Subtypes as Defined by Transient Receptor Potential Channel Expression. Journal of Neuroscience. 27(10). 2435–2443. 159 indexed citations
6.
Munns, Clare H., Mona AlQatari, & Martin Koltzenburg. (2006). Many cold sensitive peripheral neurons of the mouse do not express TRPM8 or TRPA1. Cell Calcium. 41(4). 331–342. 102 indexed citations
7.
Wanaverbecq, Nicolas, Stephen J. Marsh, Mona AlQatari, & David A. Brown. (2003). The Plasma Membrane Calcium‐ATPase as a Major Mechanism for Intracellular Calcium Regulation in Neurones from the Rat Superior Cervical Ganglion. The Journal of Physiology. 550(1). 83–101. 69 indexed citations
8.
Hadley, J. K., Gayle M. Passmore, L. Tatulian, et al.. (2003). Stoichiometry of Expressed KCNQ2/KCNQ3 Potassium Channels and Subunit Composition of Native Ganglionic M Channels Deduced from Block by Tetraethylammonium. Journal of Neuroscience. 23(12). 5012–5019. 102 indexed citations
9.
Passmore, Gayle M., Mohini Mistry, Mona AlQatari, et al.. (2003). KCNQ/M Currents in Sensory Neurons: Significance for Pain Therapy. Journal of Neuroscience. 23(18). 7227–7236. 286 indexed citations

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.

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