Mohammad Abu-Rub

1.3k total citations
22 papers, 819 citations indexed

About

Mohammad Abu-Rub is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Neurology. According to data from OpenAlex, Mohammad Abu-Rub has authored 22 papers receiving a total of 819 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Cellular and Molecular Neuroscience, 6 papers in Molecular Biology and 6 papers in Neurology. Recurrent topics in Mohammad Abu-Rub's work include Nerve injury and regeneration (8 papers), RNA Interference and Gene Delivery (4 papers) and Neurogenesis and neuroplasticity mechanisms (4 papers). Mohammad Abu-Rub is often cited by papers focused on Nerve injury and regeneration (8 papers), RNA Interference and Gene Delivery (4 papers) and Neurogenesis and neuroplasticity mechanisms (4 papers). Mohammad Abu-Rub collaborates with scholars based in United States, Ireland and Jordan. Mohammad Abu-Rub's co-authors include Abhay Pandit, Dimitrios I. Zeugolis, Robert H. Miller, John R. Henley, Jacob H. Hines, Anthony J. Windebank, Ben Newland, Wenxin Wang, Yu Zheng and Siobhán S. McMahon and has published in prestigious journals such as Journal of the American Chemical Society, Nature Neuroscience and Biomaterials.

In The Last Decade

Mohammad Abu-Rub

22 papers receiving 808 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Mohammad Abu-Rub United States 14 242 198 197 189 125 22 819
Jacek M. Kwiecień Canada 21 107 0.4× 181 0.9× 401 2.0× 257 1.4× 149 1.2× 64 1.5k
Dana M. Cairns United States 21 292 1.2× 451 2.3× 382 1.9× 125 0.7× 169 1.4× 37 1.3k
Wenrui Qu China 19 184 0.8× 222 1.1× 198 1.0× 290 1.5× 173 1.4× 56 960
Liwei Ying China 15 212 0.9× 369 1.9× 332 1.7× 251 1.3× 282 2.3× 33 1.3k
Varadraj N. Vernekar United States 13 323 1.3× 494 2.5× 133 0.7× 114 0.6× 223 1.8× 18 1.0k
Carlo Soranzo Italy 13 213 0.9× 101 0.5× 112 0.6× 119 0.6× 211 1.7× 24 785
Lee W. Tien United States 14 234 1.0× 384 1.9× 150 0.8× 367 1.9× 108 0.9× 18 927
Alberto Pérez-Bouza Germany 18 243 1.0× 355 1.8× 287 1.5× 185 1.0× 232 1.9× 36 1.2k
Jana Zárubová Czechia 17 166 0.7× 222 1.1× 273 1.4× 98 0.5× 188 1.5× 32 1.1k
Changfeng Lu China 16 418 1.7× 213 1.1× 270 1.4× 457 2.4× 278 2.2× 25 1.0k

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-authorship network of co-authors of Mohammad Abu-Rub

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

All Works

20 of 20 papers shown
1.
2.
Garbey, Marc, et al.. (2023). A Digital Telehealth System to Compute Myasthenia Gravis Core Examination Metrics: Exploratory Cohort Study. PubMed. 2. e43387–e43387. 8 indexed citations
3.
Kaminski, Henry J., et al.. (2023). Eye Segmentation Method for Telehealth: Application to the Myasthenia Gravis Physical Examination. Sensors. 23(18). 7744–7744. 6 indexed citations
4.
Yassin, Ahmed, et al.. (2023). Abnormal Neurologic Findings in Patients With Sickle Cell Disease Without a History of Major Neurologic Events. Neurology Clinical Practice. 14(1). e200215–e200215. 1 indexed citations
5.
Yassin, Ahmed, et al.. (2021). Neurological manifestations and complications of coronavirus disease 2019 (COVID-19): a systematic review and meta-analysis. BMC Neurology. 21(1). 138–138. 54 indexed citations
6.
Ahn, Julie, Mohammad Abu-Rub, & Robert H. Miller. (2021). B Cells in Neuroinflammation: New Perspectives and Mechanistic Insights. Cells. 10(7). 1605–1605. 40 indexed citations
7.
Tognatta, Reshmi, Molly Karl, Sharyl L. Fyffe-Maricich, et al.. (2020). Astrocytes Are Required for Oligodendrocyte Survival and Maintenance of Myelin Compaction and Integrity. Frontiers in Cellular Neuroscience. 14. 74–74. 47 indexed citations
8.
9.
Burakgazi, Ahmet Z., et al.. (2019). Dropped head syndrome due to neuromuscular disease: clinical manifestation and evaluation. Neurology International. 11(2). 8198–8198. 10 indexed citations
10.
Abu-Rub, Mohammad & Robert H. Miller. (2018). Emerging Cellular and Molecular Strategies for Enhancing Central Nervous System (CNS) Remyelination. Brain Sciences. 8(6). 111–111. 33 indexed citations
11.
Abu-Rub, Mohammad, Ben Newland, Michelle Naughton, et al.. (2016). Non-viral xylosyltransferase-1 siRNA delivery as an effective alternative to chondroitinase in an in vitro model of reactive astrocytes. Neuroscience. 339. 267–275. 7 indexed citations
12.
Daly, William T., Li Yao, Mohammad Abu-Rub, et al.. (2012). The effect of intraluminal contact mediated guidance signals on axonal mismatch during peripheral nerve repair. Biomaterials. 33(28). 6660–6671. 60 indexed citations
13.
Hines, Jacob H., et al.. (2012). Single vesicle imaging indicates distinct modes of rapid membrane retrieval during nerve growth. BMC Biology. 10(1). 4–4. 10 indexed citations
14.
Newland, Ben, Teresa C. Moloney, Gianluca Fontana, et al.. (2012). The neurotoxicity of gene vectors and its amelioration by packaging with collagen hollow spheres. Biomaterials. 34(8). 2130–2141. 30 indexed citations
15.
Denning, Denise, Mohammad Abu-Rub, Dimitrios I. Zeugolis, et al.. (2012). Electromechanical properties of dried tendon and isoelectrically focused collagen hydrogels. Acta Biomaterialia. 8(8). 3073–3079. 42 indexed citations
16.
Kew, Simon J., Davide Enea, Mohammad Abu-Rub, et al.. (2011). Regeneration and repair of tendon and ligament tissue using collagen fibre biomaterials. Acta Biomaterialia. 7(9). 3237–3247. 134 indexed citations
17.
Abu-Rub, Mohammad, Kristen L. Billiar, M.H. van Es, et al.. (2011). Nano-textured self-assembled aligned collagen hydrogels promote directional neurite guidance and overcome inhibition by myelin associated glycoprotein. Soft Matter. 7(6). 2770–2770. 64 indexed citations
18.
Hines, Jacob H., Mohammad Abu-Rub, & John R. Henley. (2010). Asymmetric endocytosis and remodeling of β1-integrin adhesions during growth cone chemorepulsion by MAG. Nature Neuroscience. 13(7). 829–837. 63 indexed citations
19.
Lareu, Ricky R., Dimitrios I. Zeugolis, Mohammad Abu-Rub, Abhay Pandit, & Michael Raghunath. (2010). Essential modification of the Sircol Collagen Assay for the accurate quantification of collagen content in complex protein solutions. Acta Biomaterialia. 6(8). 3146–3151. 63 indexed citations
20.
Abu-Rub, Mohammad, Siobhán S. McMahon, Dimitrios I. Zeugolis, Anthony J. Windebank, & Abhay Pandit. (2010). Spinal cord injury in vitro: modelling axon growth inhibition. Drug Discovery Today. 15(11-12). 436–443. 28 indexed citations

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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