Mohammad Abu-Rub

1.3k citations
22 papers · 833 · h-index 14

Impact in

    • Electrospun Nanofibers in Biomedical Applications
    • Collagen: Extraction and Characterization
    • Silk-based biomaterials and applications
    • Neurogenesis and neuroplasticity mechanisms

Papers in

Mohammad Abu-Rub

22 papers receiving 822 citations

Peers

Mohammad Abu-Rub
Comparison fields: 5 of 94
  • Biomaterials 241
  • Developmental Neuroscience 62
  • Orthopedics and Sports Medicine 84
  • Cellular and Molecular Neuroscience 184
  • Neurology 56
Replace Wenrui Qu with:
Wenrui Qu China
Sabine Kuchler‐Bopp France
Dou Yu United States
Federica Fregnan Italy
Fuminori Kanaya Japan
Wenhua Liu United States
Thanh Chung Vietnam
Alessandro Faroni United Kingdom
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Citations per year

Countries citing papers authored by Mohammad Abu-Rub

Since Specialization
Citations

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

Fields of papers citing papers by Mohammad Abu-Rub

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011136
2 201282
3 201064
4 201164
5 201063
6 201260
7 202155
8 202047
9 202143
10 201242
11 201834
12 201332
13 201230
14 201028
15 201912
16 201210
17 20239
18 20167
19 20236
20 20245

About Mohammad Abu-Rub

Mohammad Abu-Rub is a scholar working on Cellular and Molecular Neuroscience, Neurology, Molecular Biology, Pathology and Forensic Medicine and Biomaterials, having authored 22 papers that have together received 833 indexed citations. Recurring topics across this work include Nerve injury and regeneration (7 papers), Neurogenesis and neuroplasticity mechanisms (4 papers), RNA Interference and Gene Delivery (4 papers), Silk-based biomaterials and applications (3 papers), Axon Guidance and Neuronal Signaling (2 papers), Myasthenia Gravis and Thymoma (2 papers), Tendon Structure and Treatment (2 papers) and Long-Term Effects of COVID-19 (2 papers). The work is most often cited by research in Biomaterials (241 citations), Developmental Neuroscience (62 citations), Orthopedics and Sports Medicine (84 citations), Cellular and Molecular Neuroscience (184 citations) and Neurology (56 citations). Mohammad Abu-Rub has collaborated with scholars based in United States, Ireland and Jordan. Frequent co-authors include Abhay Pandit, Dimitrios I. Zeugolis, Robert H. Miller, Jacob H. Hines, John R. Henley, Anthony J. Windebank, Ben Newland, Wenxin Wang, Yu Zheng and Neil Rushton. Their work appears in journals such as Acta Biomaterialia, Biomaterials, Neuroscience, ACS Chemical Neuroscience and Cells.

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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