Mohammad Shehata

793 citations
11 papers · 570 · h-index 10

Impact in

Papers in

Mohammad Shehata

11 papers receiving 568 citations

Peers

Mohammad Shehata
Comparison fields: 5 of 75
  • Developmental Neuroscience 60
  • Cellular and Molecular Neuroscience 240
  • Neurology 103
  • Cognitive Neuroscience 171
  • Physiology 37
Replace Reiko Okubo-Suzuki with:
Reiko Okubo-Suzuki Japan
Liam P. Tuffy Ireland
Hirofumi Nishizono Japan
Kelly E. Glajch United States
Harry Samaroo United States
Marta Orlando Italy
Satoshi Kamijo Japan
Zhibing Tan United States
Kristin L. Arendt United States
Amanda L. Yonan United States
Mohammad Shehata relative to Reiko Okubo-Suzuki Japan Reiko Okubo-Suzuki's profile →
Citations per field
00.5×
Reiko Okubo-Suzuki · 1×
Citations per year

Countries citing papers authored by Mohammad Shehata

Since Specialization
Citations

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

Fields of papers citing papers by Mohammad Shehata

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

11 of 11 papers shown
#Work
1 2012220
2 2018136
3 201859
4 201951
5 201428
6 202119
7 200819
8 200913
9 200912
10 201612
11 20221

About Mohammad Shehata

Mohammad Shehata is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience, Epidemiology, Molecular Biology and Neurology, having authored 11 papers that have together received 570 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (4 papers), Autophagy in Disease and Therapy (3 papers), Neuroinflammation and Neurodegeneration Mechanisms (2 papers), Memory and Neural Mechanisms (2 papers), Tactile and Sensory Interactions (1 paper), MicroRNA in disease regulation (1 paper), Mesenchymal stem cell research (1 paper) and Photoreceptor and optogenetics research (1 paper). The work is most often cited by research in Developmental Neuroscience (60 citations), Cellular and Molecular Neuroscience (240 citations), Neurology (103 citations), Cognitive Neuroscience (171 citations) and Physiology (37 citations). Mohammad Shehata has collaborated with scholars based in Japan, Sweden and United States. Frequent co-authors include Kaoru Inokuchi, Noriaki Ohkawa, Reiko Okubo-Suzuki, Hiroyuki Matsumura, Hirofumi Nishizono, Mina Matsuo, Kareem Abdou, Shin‐ichi Muramatsu, Yoko Ishii and Yoshito Saitoh. Their work appears in journals such as Journal of Neuroscience, International Journal of Hyperthermia, Journal of Biological Chemistry, Molecular Brain and Cell Reports.

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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