Orit Shefi

3.3k total citations · 1 hit paper
80 papers, 2.5k citations indexed

About

Orit Shefi is a scholar working on Biomedical Engineering, Cellular and Molecular Neuroscience and Materials Chemistry. According to data from OpenAlex, Orit Shefi has authored 80 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Biomedical Engineering, 31 papers in Cellular and Molecular Neuroscience and 19 papers in Materials Chemistry. Recurrent topics in Orit Shefi's work include Neuroscience and Neural Engineering (17 papers), Graphene and Nanomaterials Applications (16 papers) and 3D Printing in Biomedical Research (14 papers). Orit Shefi is often cited by papers focused on Neuroscience and Neural Engineering (17 papers), Graphene and Nanomaterials Applications (16 papers) and 3D Printing in Biomedical Research (14 papers). Orit Shefi collaborates with scholars based in Israel, United States and United Kingdom. Orit Shefi's co-authors include Merav Antman‐Passig, Koby Baranes, Noa Alon, Michal Marcus, Pazit Polak, Hadas Schori, Amir Ayali, Eshel Ben‐Jacob, Aharon Gedanken and Michal Shevach and has published in prestigious journals such as Journal of Neuroscience, Nano Letters and Bioinformatics.

In The Last Decade

Orit Shefi

75 papers receiving 2.5k citations

Hit Papers

3D printing for polymer/particle-based processing: A review 2021 2026 2022 2024 2021 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Orit Shefi Israel 29 1.3k 692 540 481 457 80 2.5k
Brianna C. Thompson Australia 22 1.6k 1.2× 801 1.2× 551 1.0× 385 0.8× 376 0.8× 39 2.8k
Jonathan H. Tsui United States 21 1.4k 1.1× 409 0.6× 718 1.3× 196 0.4× 478 1.0× 31 2.4k
Attilio Marino Italy 34 2.4k 1.8× 637 0.9× 795 1.5× 755 1.6× 662 1.4× 89 3.5k
Penny J. Martens Australia 33 1.6k 1.2× 581 0.8× 1.3k 2.4× 175 0.4× 266 0.6× 68 3.3k
Kunyu Zhang China 33 1.8k 1.4× 346 0.5× 1.2k 2.2× 356 0.7× 537 1.2× 91 3.9k
Fanben Meng Singapore 22 1.6k 1.2× 614 0.9× 206 0.4× 464 1.0× 326 0.7× 39 2.8k
Pasi Kallio Finland 25 1.1k 0.9× 302 0.4× 501 0.9× 161 0.3× 335 0.7× 154 2.5k
Hiroaki Onoe Japan 33 2.8k 2.2× 442 0.6× 753 1.4× 301 0.6× 597 1.3× 218 4.0k
Yixia Yin China 26 1.6k 1.2× 646 0.9× 647 1.2× 359 0.7× 276 0.6× 66 2.7k
Peggy Chan Australia 31 1.6k 1.2× 176 0.3× 760 1.4× 415 0.9× 587 1.3× 65 3.1k

Countries citing papers authored by Orit Shefi

Since Specialization
Citations

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

Fields of papers citing papers by Orit Shefi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Orit Shefi

This figure shows the co-authorship network connecting the top 25 collaborators of Orit Shefi. A scholar is included among the top collaborators of Orit Shefi 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 Orit Shefi. Orit Shefi 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.
Gross, Gilad A., Hiba Waldman Ben‐Asher, Orly Yaron, et al.. (2025). Glutamine modulates stress granule formation in cancer cells through core RNA-binding proteins. Journal of Cell Science. 138(11). 1 indexed citations
2.
3.
Rosenberg, Michal, et al.. (2023). Biolistic Delivery of Photosensitizer‐Loaded Porous Si Carriers for Localized Photodynamic Therapy. Advanced Materials Technologies. 8(23). 1 indexed citations
4.
Sharoni, Amos, et al.. (2023). A streptavidin–biotin system combined with magnetic actuators for remote neuronal guidance. Journal of Biological Engineering. 17(1). 40–40. 3 indexed citations
5.
Blumrosen, Gaddi, Moshe Sinvani, Shlomi Polani, et al.. (2022). An Engineered Nanocomplex with Photodynamic and Photothermal Synergistic Properties for Cancer Treatment. International Journal of Molecular Sciences. 23(4). 2286–2286. 16 indexed citations
6.
Xu, Weiheng, Sayli Jambhulkar, Yuxiang Zhu, et al.. (2021). 3D printing for polymer/particle-based processing: A review. Composites Part B Engineering. 223. 109102–109102. 226 indexed citations breakdown →
7.
Xu, Weiheng, Sayli Jambhulkar, Dharneedar Ravichandran, et al.. (2021). 3D Printing‐Enabled Nanoparticle Alignment: A Review of Mechanisms and Applications. Small. 17(45). e2100817–e2100817. 114 indexed citations
8.
Ofer, Netanel, Orit Shefi, & Gur Yaari. (2020). Axonal Tree Morphology and Signal Propagation Dynamics Improve Interneuron Classification. Neuroinformatics. 18(4). 581–590. 5 indexed citations
9.
Shefi, Orit, et al.. (2020). Brief Electrical Stimulation Triggers an Effective Regeneration of Leech CNS. eNeuro. 7(3). ENEURO.0030–19.2020. 3 indexed citations
10.
Rosenberg, Michal, et al.. (2019). Designing Porous Silicon Films as Carriers of Nerve Growth Factor. Journal of Visualized Experiments.
11.
Rosenberg, Michal, et al.. (2019). Designing Porous Silicon Films as Carriers of Nerve Growth Factor. Journal of Visualized Experiments. 3 indexed citations
12.
Rosenberg, Michal, Michal Richman, Ronen Yehuda, et al.. (2019). Neuroprotective Effect of Nerve Growth Factor Loaded in Porous Silicon Nanostructures in an Alzheimer's Disease Model and Potential Delivery to the Brain. Small. 15(45). e1904203–e1904203. 29 indexed citations
13.
Kumar, Vijay Bhooshan, Michal Marcus, Ze’ev Porat, et al.. (2018). Ultrafine Highly Magnetic Fluorescent γ-Fe2O3/NCD Nanocomposites for Neuronal Manipulations. ACS Omega. 3(2). 1897–1903. 21 indexed citations
14.
Ofer, Netanel, Orit Shefi, & Gur Yaari. (2017). Branching morphology determines signal propagation dynamics in neurons. Scientific Reports. 7(1). 8877–8877. 30 indexed citations
15.
Marcus, Michal, Koby Baranes, Itay Levy, et al.. (2016). Iron oxide nanoparticles for neuronal cell applications: uptake study and magnetic manipulations. Journal of Nanobiotechnology. 14(1). 37–37. 117 indexed citations
16.
Antman‐Passig, Merav & Orit Shefi. (2016). Remote Magnetic Orientation of 3D Collagen Hydrogels for Directed Neuronal Regeneration. Nano Letters. 16(4). 2567–2573. 230 indexed citations
17.
Polak, Pazit & Orit Shefi. (2015). Nanometric agents in the service of neuroscience: Manipulation of neuronal growth and activity using nanoparticles. Nanomedicine Nanotechnology Biology and Medicine. 11(6). 1467–1479. 55 indexed citations
18.
Polak, Pazit, et al.. (2013). Thermal Degradation of DNA. DNA and Cell Biology. 32(6). 298–301. 120 indexed citations
19.
Baranes, Koby, et al.. (2012). Interactions of neurons with topographic nano cues affect branching morphology mimicking neuron–neuron interactions. Journal of Molecular Histology. 43(4). 437–447. 37 indexed citations
20.
Baranes, Koby, et al.. (2012). Topographic cues of nano‐scale height direct neuronal growth pattern. Biotechnology and Bioengineering. 109(7). 1791–1797. 72 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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