Naama E. Toledano Furman
- Molecular Biology top 10%
- Biomedical Engineering top 5%
- Biomaterials top 1%
- Genetics top 2%
- Immunology top 10%
- Co-authors
- Ennio TasciottiClaudia CorboRoberto MolinaroAlessandro ParodiFrancesco SalvatoreKarthik S. PrabhakaraCharles S. CoxScott D. Olson
- Topics
- Traumatic Brain Injury and Neurovascular Disturbances (11 papers)Mesenchymal stem cell research (7 papers)Neuroinflammation and Neurodegeneration Mechanisms (6 papers)
- Journals
- Nature MaterialsNano LettersACS Nano
- Partner nations
- United StatesItalyIsrael
In The Last Decade
Naama E. Toledano Furman
27 papers receiving 2.4k citations
Hit Papers
Peers
Comparison fields: 5 of 116
- Molecular Biology 1.2k
- Biomedical Engineering 795
- Biomaterials 794
- Genetics 424
- Immunology 366
Countries citing papers authored by Naama E. Toledano Furman
This map shows the geographic impact of Naama E. Toledano Furman'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 Naama E. Toledano Furman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Naama E. Toledano Furman more than expected).
Fields of papers citing papers by Naama E. Toledano Furman
This network shows the impact of papers produced by Naama E. Toledano Furman. 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 Naama E. Toledano Furman. The network helps show where Naama E. Toledano Furman may publish in the future.
Co-authorship network of co-authors of Naama E. Toledano Furman
This figure shows the co-authorship network connecting the top 25 collaborators of Naama E. Toledano Furman. A scholar is included among the top collaborators of Naama E. Toledano Furman 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 Naama E. Toledano Furman. Naama E. Toledano Furman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 20 | |
| 2 | 9 | |
| 3 | 4 | |
| 4 | 27 | |
| 5 | 19 | |
| 6 | 19 | |
| 7 | 226 | |
| 8 | 1 | |
| 9 | 104 | |
| 10 | 1 | |
| 11 | 80 | |
| 12 | 18 | |
| 13 | 125 | |
| 14 | 15 | |
| 15 | 99 | |
| 16 | 27 | |
| 17 | Biomimetic proteolipid vesicles for targeting inflamed tissuesbreakdown → | 365 |
| 18 | 74 | |
| 19 | The Impact of Nanoparticle Protein Corona on Cytotoxicity, Immunotoxicity and Target Drug Deliverybreakdown → | 523 |
| 20 | 41 |
About Naama E. Toledano Furman
Naama E. Toledano Furman is a scholar working on Neurology, Neurology and Genetics, having authored 27 papers that have together received 2.4k indexed citations. Recurring topics across this work include Traumatic Brain Injury and Neurovascular Disturbances (11 papers), Mesenchymal stem cell research (7 papers) and Neuroinflammation and Neurodegeneration Mechanisms (6 papers). The work is most often cited by research in Biomaterials (794 citations), Genetics (424 citations) and Biomedical Engineering (795 citations). Naama E. Toledano Furman has collaborated with scholars based in United States, Italy and Israel. Frequent co-authors include Ennio Tasciotti, Claudia Corbo, Roberto Molinaro, Alessandro Parodi, Francesco Salvatore, Karthik S. Prabhakara, Charles S. Cox, Scott D. Olson, Enrica De Rosa and Francesca Taraballi. Their work appears in journals such as Nature Materials, Nano Letters and ACS Nano.
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.