Jim Olson
Impact in
- Biomaterials top 1%
- Nanoparticle-Based Drug Delivery
- Genetics top 5%
- Glioma Diagnosis and Treatment
Papers in
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- Nanoparticle-Based Drug Delivery 4
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- Epigenetics and DNA Methylation 2
- CRISPR and Genetic Engineering 1
- Ubiquitin and proteasome pathways 1
- Co-authors
- Conroy Sun (4 shared papers)Richard G. Ellenbogen (4 shared papers)Miqin Zhang (4 shared papers)Omid Veiseh (4 shared papers)Jonathan Gunn (3 shared papers)Donghoon Lee (3 shared papers)Fang Chen (3 shared papers)Raymond W. Sze (2 shared papers)
- Journals
- Nanomedicine (1 paper)Proceedings of the National Academy of Sciences (1 paper)Nano Letters (1 paper)Small (1 paper)Cancer Research (1 paper)
- Partner nations
- United StatesSouth AfricaSweden
In The Last Decade
Jim Olson
9 papers receiving 1.5k citations
Jim Olson's Hit Papers
Peers
Comparison fields: 5 of 90
- Biomaterials 775
- Genetics 169
- Biomedical Engineering 698
- Molecular Biology 568
- Materials Chemistry 309
Countries citing papers authored by Jim Olson
This map shows the geographic impact of Jim Olson'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 Jim Olson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jim Olson more than expected).
Fields of papers citing papers by Jim Olson
This network shows the impact of papers produced by Jim Olson. 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 Jim Olson. The network helps show where Jim Olson may publish in the future.
Co-authors
The 25 scholars most cited alongside Jim Olson, 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 | Optical and MRI Multifunctional Nanoprobe for Targeting Gliomas Hit paper breakdown → | 2005 | 503 |
| 2 | 2009 | 327 | |
| 3 | 2008 | 287 | |
| 4 | 2008 | 187 | |
| 5 | ERBB1 is amplified and overexpressed in high-grade diffusely infiltrative pediatric brain stem glioma. | 2003 | 101 |
| 6 | 1994 | 93 | |
| 7 | Expression of neurogenic basic helix-loop-helix genes in primitive neuroectodermal tumors. | 1997 | 74 |
| 8 | 1976 | 1 | |
| 9 | 2023 | 1 | |
| 10 | 2014 | 1 | |
| 11 | 2014 | 0 |
About Jim Olson
Jim Olson is a scholar working on Biomaterials, Molecular Biology, Genetics, Biomedical Engineering and Computer Networks and Communications, having authored 11 papers that have together received 1.6k indexed citations. Recurring topics across this work include Nanoparticle-Based Drug Delivery (4 papers), Glioma Diagnosis and Treatment (3 papers), Nanoplatforms for cancer theranostics (3 papers), Epigenetics and DNA Methylation (2 papers), CRISPR and Genetic Engineering (1 paper), Cloud Computing and Resource Management (1 paper), Ubiquitin and proteasome pathways (1 paper) and Pharmacological Effects and Assays (1 paper). The work is most often cited by research in Biomaterials (775 citations), Genetics (169 citations), Biomedical Engineering (698 citations), Molecular Biology (568 citations) and Materials Chemistry (309 citations). Jim Olson has collaborated with scholars based in United States, South Africa and Sweden. Frequent co-authors include Conroy Sun, Richard G. Ellenbogen, Miqin Zhang, Omid Veiseh, Jonathan Gunn, Donghoon Lee, Fang Chen, Raymond W. Sze, Narayan Bhattarai and Stacey Hansen. Their work appears in journals such as Nanomedicine, Proceedings of the National Academy of Sciences, Nano Letters, Small and Cancer Research.
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.