Wael Mohamed

193 total papers · 2.0k total citations
88 papers, 1.1k citations indexed

About

Wael Mohamed is a scholar working on Molecular Biology, Neurology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Wael Mohamed has authored 88 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Molecular Biology, 17 papers in Neurology and 15 papers in Cellular and Molecular Neuroscience. Recurrent topics in Wael Mohamed's work include Neuroinflammation and Neurodegeneration Mechanisms (13 papers), Alzheimer's disease research and treatments (8 papers) and Zebrafish Biomedical Research Applications (6 papers). Wael Mohamed is often cited by papers focused on Neuroinflammation and Neurodegeneration Mechanisms (13 papers), Alzheimer's disease research and treatments (8 papers) and Zebrafish Biomedical Research Applications (6 papers). Wael Mohamed collaborates with scholars based in Malaysia, Egypt and United States. Wael Mohamed's co-authors include Jaya Kumar, Mohamed Salama, Azizah Ugusman, Murtala Bello Abubakar, Ching Soong Khoo, Haziq Kamal, Mohamed El‐Gamal, Byron C. Jones, Anne Pereira de Vasconcelos and Jean‐Christophe Cassel and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Wael Mohamed

84 papers receiving 1.0k citations

Hit Papers

Alzheimer’s Disease: An U... 2022 2026 2023 2024 2022 50 100 150

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Wael Mohamed 278 220 190 187 144 88 1.1k
Matilde Otero‐Losada 407 1.5× 160 0.7× 246 1.3× 124 0.7× 149 1.0× 81 1.2k
Kyu‐Yong Lee 403 1.4× 277 1.3× 162 0.9× 178 1.0× 161 1.1× 76 1.1k
Abid Bhat 319 1.1× 198 0.9× 195 1.0× 130 0.7× 133 0.9× 40 1.1k
Fatemeh Shaerzadeh 319 1.1× 261 1.2× 186 1.0× 170 0.9× 66 0.5× 40 876
Banthit Chetsawang 353 1.3× 199 0.9× 269 1.4× 131 0.7× 106 0.7× 53 1.0k
James Raymick 301 1.1× 268 1.2× 148 0.8× 147 0.8× 204 1.4× 32 807
Jing Zhang 377 1.4× 403 1.8× 129 0.7× 169 0.9× 91 0.6× 60 963
Wei Zhang 304 1.1× 380 1.7× 166 0.9× 117 0.6× 70 0.5× 59 1.1k
Heena Khan 515 1.9× 188 0.9× 129 0.7× 202 1.1× 200 1.4× 60 1.2k
Claire Lafay‐Chebassier 382 1.4× 282 1.3× 209 1.1× 124 0.7× 64 0.4× 38 918

Countries citing papers authored by Wael Mohamed

Since Specialization
Citations

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

Fields of papers citing papers by Wael Mohamed

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wael Mohamed

This figure shows the co-authorship network connecting the top 25 collaborators of Wael Mohamed. A scholar is included among the top collaborators of Wael Mohamed 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 Wael Mohamed. Wael Mohamed is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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