Neil S. Forbes
- Biotechnology top 0.05%
- Cancer Research and Treatments 37
- Biomaterials top 1%
- Nanoparticle-Based Drug Delivery 6
- Biomedical Engineering top 0.5%
- Nanoplatforms for cancer theranostics 23
- 3D Printing in Biomedical Research 8
- Genetics top 2%
- Virus-based gene therapy research 19
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- Bacteriophages and microbial interactions 12
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- Cancer Cells and Metastasis 8
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- Cancer, Hypoxia, and Metabolism 7
- Co-authors
- Vincent M. RotelloGang HanByoung‐Jin KimBhushan J. ToleyChaekyu KimRuijiang HongRakesh K. JainNele Van Dessel
- Journals
- Proceedings of the National Academy of Sciences (1 paper)Journal of the American Chemical Society (1 paper)Angewandte Chemie International Edition (1 paper)
- Partner nations
- United StatesUnited KingdomDenmark
In The Last Decade
Neil S. Forbes
67 papers receiving 5.3k citations
Hit Papers
Peers
Comparison fields: 5 of 142
- Biotechnology 1.9k
- Biomaterials 966
- Biomedical Engineering 2.6k
- Genetics 879
- Electronic, Optical and Magnetic Materials 547
Countries citing papers authored by Neil S. Forbes
This map shows the geographic impact of Neil S. Forbes'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 Neil S. Forbes with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Neil S. Forbes more than expected).
Fields of papers citing papers by Neil S. Forbes
This network shows the impact of papers produced by Neil S. Forbes. 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 Neil S. Forbes. The network helps show where Neil S. Forbes may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Neil S. Forbes, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 4 | |
| 2 | 2024 | 8 | |
| 3 | 2024 | 0 | |
| 4 | 2023 | 2 | |
| 5 | 2023 | 15 | |
| 6 | 2023 | 8 | |
| 7 | 2023 | 10 | |
| 8 | 2021 | 112 | |
| 9 | 2020 | 5 | |
| 10 | 2019 | 21 | |
| 11 | 2019 | 19 | |
| 12 | 2019 | 14 | |
| 13 | 2017 | 2 | |
| 14 | 2014 | 29 | |
| 15 | Engineering the perfect (bacterial) cancer therapybreakdown → | 2010 | 676 |
| 16 | 2009 | 141 | |
| 17 | A Module to Foster Engineering Creativity: An Interpolative Design Problem and an Extrapolative Research Project. | 2008 | 3 |
| 18 | 2008 | 21 | |
| 19 | 2008 | 92 | |
| 20 | 2008 | 35 |
About Neil S. Forbes
Neil S. Forbes is a scholar working on Biotechnology, Modeling and Simulation and Biomedical Engineering, having authored 69 papers that have together received 5.3k indexed citations. Recurring topics across this work include Cancer Research and Treatments (37 papers), Nanoplatforms for cancer theranostics (23 papers), Virus-based gene therapy research (19 papers), Bacteriophages and microbial interactions (12 papers), Cancer Cells and Metastasis (8 papers), 3D Printing in Biomedical Research (8 papers), Cancer, Hypoxia, and Metabolism (7 papers) and Nanoparticle-Based Drug Delivery (6 papers). The work is most often cited by research in Biotechnology (1.9k citations), Biomaterials (966 citations) and Biomedical Engineering (2.6k citations). Neil S. Forbes has collaborated with scholars based in United States, United Kingdom and Denmark. Frequent co-authors include Vincent M. Rotello, Gang Han, Byoung‐Jin Kim, Bhushan J. Toley, Chaekyu Kim, Ruijiang Hong, Rakesh K. Jain, Nele Van Dessel, Charles A. Swofford and Sabha Ganai. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Angewandte Chemie International Edition.
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.