Mona AlQatari

1.2k citations
11 papers · 993 · h-index 9

Impact in

Papers in

Mona AlQatari

11 papers receiving 969 citations

Peers

Mona AlQatari
Comparison fields: 5 of 82
  • Sensory Systems 261
  • Cellular and Molecular Neuroscience 513
  • Physiology 305
  • Molecular Biology 533
  • Cardiology and Cardiovascular Medicine 133
Replace Michel Lazdunski with:
Michel Lazdunski France
Ivan Kadurin United Kingdom
Patrick Delmas France
J. Stefan Kaczmarek United States
Mohini Mistry United Kingdom
Fay Heblich United Kingdom
Jianying Huang United States
Myoung Kyu Park South Korea
Pavel V. Belan Ukraine
Timothy Strassmaier United States
Mona AlQatari relative to Michel Lazdunski France Michel Lazdunski's profile →
Citations per field
00.5×1.6×
Michel Lazdunski · 1×
Citations per year

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-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.

Border = papers with Mona AlQatari Line = papers co-authored together Mona AlQatari links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1 2003313
2 2007175
3 2003108
4 2006104
5 200983
6 200371
7 201162
8 201147
9 201121
10 20188
11
A MUTATION OF THE CYTOPLASMIC DYNEIN HEAVY CHAIN GENE Dync1h1 CAUSES A SEVERE SENSORY NEUROPATHY
20091

About Mona AlQatari

Mona AlQatari is a scholar working on Cellular and Molecular Neuroscience, Sensory Systems, Molecular Biology, Physiology and Developmental Neuroscience, having authored 11 papers that have together received 993 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), Neurobiology and Insect Physiology Research (2 papers), Nerve injury and regeneration (2 papers), Ion Channels and Receptors (2 papers), Respiratory and Cough-Related Research (1 paper) and Neuroscience and Neural Engineering (1 paper). The work is most often cited by research in Sensory Systems (261 citations), Cellular and Molecular Neuroscience (513 citations), Physiology (305 citations), Molecular Biology (533 citations) and Cardiology and Cardiovascular Medicine (133 citations). Mona AlQatari has collaborated with scholars based in United Kingdom, Italy and United States. Frequent co-authors include Martin Koltzenburg, Stephen J. Marsh, Jens Hjerling‐Leffler, David A. Brown, Gayle M. Passmore, Patrik Ernfors, Clare H. Munns, Mohini Mistry, Stephen A. Burbidge and Elizabeth A. Matthews. Their work appears in journals such as Journal of Neuroscience, Cell Death and Differentiation, The Journal of Physiology, Cell Death and Disease and Pain.

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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