Ian J. Scanlon
Impact in
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- CAR-T cell therapy research
- Biotechnology top 10%
- Cancer Research and Treatments
Papers in
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- Cancer Research and Treatments 4
- Genetics 6
- Virus-based gene therapy research 6
- Co-authors
- Caroline J. Springer (10 shared papers)Frank Friedlos (8 shared papers)Richard Marais (8 shared papers)Lesley M. Ogilvie (5 shared papers)Douglas Hedley (4 shared papers)Dan Niculescu‐Duvaz (5 shared papers)Jan Martin (2 shared papers)Antonio Chiloeches (1 shared paper)
- Journals
- Journal of Medicinal Chemistry (4 papers)Cancer Research (2 papers)Current Medicinal Chemistry (1 paper)Oncogene (1 paper)Tetrahedron Letters (1 paper)
- Partner nations
- United KingdomUnited States
In The Last Decade
Ian J. Scanlon
10 papers receiving 589 citations
Peers
Comparison fields: 5 of 62
- Oncology 204
- Biotechnology 67
- Molecular Biology 447
- Computational Theory and Mathematics 92
- Pathology and Forensic Medicine 58
Countries citing papers authored by Ian J. Scanlon
This map shows the geographic impact of Ian J. Scanlon'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 Ian J. Scanlon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ian J. Scanlon more than expected).
Fields of papers citing papers by Ian J. Scanlon
This network shows the impact of papers produced by Ian J. Scanlon. 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 Ian J. Scanlon. The network helps show where Ian J. Scanlon may publish in the future.
Co-authors
The 24 scholars most cited alongside Ian J. Scanlon, 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 | 2004 | 373 | |
| 2 | 2007 | 52 | |
| 3 | 2005 | 44 | |
| 4 | Three new prodrugs for suicide gene therapy using carboxypeptidase G2 elicit bystander efficacy in two xenograft models. | 2002 | 35 |
| 5 | 2008 | 32 | |
| 6 | 2005 | 28 | |
| 7 | 2005 | 27 | |
| 8 | 2004 | 21 | |
| 9 | 2005 | 3 | |
| 10 | 2003 | 1 |
About Ian J. Scanlon
Ian J. Scanlon is a scholar working on Biotechnology, Genetics, Molecular Biology, Organic Chemistry and Oncology, having authored 10 papers that have together received 616 indexed citations. Recurring topics across this work include Virus-based gene therapy research (6 papers), Cancer Research and Treatments (4 papers), Melanoma and MAPK Pathways (3 papers), Click Chemistry and Applications (3 papers), Protein Degradation and Inhibitors (2 papers), CRISPR and Genetic Engineering (1 paper), Cancer Mechanisms and Therapy (1 paper) and CAR-T cell therapy research (1 paper). The work is most often cited by research in Oncology (204 citations), Biotechnology (67 citations), Molecular Biology (447 citations), Computational Theory and Mathematics (92 citations) and Pathology and Forensic Medicine (58 citations). Ian J. Scanlon has collaborated with scholars based in United Kingdom and United States. Frequent co-authors include Caroline J. Springer, Frank Friedlos, Richard Marais, Lesley M. Ogilvie, Douglas Hedley, Dan Niculescu‐Duvaz, Jan Martin, Antonio Chiloeches, Robert Hayward and Christopher J. Marshall. Their work appears in journals such as Journal of Medicinal Chemistry, Cancer Research, Current Medicinal Chemistry, Oncogene and Tetrahedron Letters.
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.