Mona Hussein

844 citations
70 papers · 492 · h-index 13

Impact in

Papers in

    • Long-Term Effects of COVID-19 7
    • Cerebral Venous Sinus Thrombosis 3
    • Parkinson's Disease Mechanisms and Treatments 3
    • Migraine and Headache Studies 9
    • Fibromyalgia and Chronic Fatigue Syndrome Research 2

Mona Hussein

59 papers receiving 486 citations

Peers

Mona Hussein
Comparison fields: 5 of 82
  • Neurology 151
  • Psychiatry and Mental health 82
  • Critical Care and Intensive Care Medicine 24
  • Developmental Neuroscience 19
  • Pathology and Forensic Medicine 54
Replace Marta Kopańska with:
Marta Kopańska Poland
Adonis Sfera United States
Farhad Assarzadegan Iran
Jörg Ahrens Germany
Alina-Costina Luca Romania
Delia Tulbă Romania
Wangxiao Bao China
Jaime M. Hatcher-Martin United States
Philip Benjamin United Kingdom
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Citations per field
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Marta Kopańska · 1×
Citations per year

Countries citing papers authored by Mona Hussein

Since Specialization
Citations

This map shows the geographic impact of Mona Hussein'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 Hussein with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mona Hussein more than expected).

Fields of papers citing papers by Mona Hussein

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mona Hussein. 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 Hussein. The network helps show where Mona Hussein may publish in the future.

Co-authors

The 25 scholars most cited alongside Mona Hussein, 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 Hussein Line = papers co-authored together Mona Hussein links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 70 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202046
2 201439
3 202134
4 202225
5 202124
6 202124
7 202117
8 201917
9 201915
10 201815
11 202113
12 202213
13 201812
14 202311
15 201811
16 202210
17 201910
18 202310
19 20239
20 20228

About Mona Hussein

Mona Hussein is a scholar working on Neurology, Psychiatry and Mental health, Pathology and Forensic Medicine, Physiology and Neurology, having authored 70 papers that have together received 492 indexed citations. Recurring topics across this work include Migraine and Headache Studies (9 papers), Multiple Sclerosis Research Studies (8 papers), Long-Term Effects of COVID-19 (7 papers), Dietary Effects on Health (6 papers), Cerebral Venous Sinus Thrombosis (3 papers), MicroRNA in disease regulation (3 papers), Parkinson's Disease Mechanisms and Treatments (3 papers) and Fibromyalgia and Chronic Fatigue Syndrome Research (2 papers). The work is most often cited by research in Neurology (151 citations), Psychiatry and Mental health (82 citations), Critical Care and Intensive Care Medicine (24 citations), Developmental Neuroscience (19 citations) and Pathology and Forensic Medicine (54 citations). Mona Hussein has collaborated with scholars based in Egypt, Bahrain and Saudi Arabia. Frequent co-authors include Rehab Magdy, Wael Fathy, Amr Hassan, Nirmeen A. Kishk, Ahmed Dahshan, Mahmoud O. Hassan, Mohammed I. Oraby, Nevin Shalaby, Rasha H. Soliman and Alaa Elmazny. Their work appears in journals such as BMC Neurology, Headache The Journal of Head and Face Pain, Pain Medicine, The Journal of Headache and Pain and BMC Anesthesiology.

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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