John Connell
Impact in
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- Nanoparticle-Based Drug Delivery
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- Glioma Diagnosis and Treatment
Papers in
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- Nanoplatforms for cancer theranostics 3
- Microfluidic and Bio-sensing Technologies 2
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- MRI in cancer diagnosis 3
- Radiomics and Machine Learning in Medical Imaging 2
- Co-authors
- Mark F. Lythgoe (9 shared papers)P. Stephen Patrick (3 shared papers)Tammy L. Kalber (5 shared papers)Yichao Yu (4 shared papers)Nicola R. Sibson (2 shared papers)Alastair Hamilton (1 shared paper)Bart Cornelissen (1 shared paper)Daniel C. Anthony (1 shared paper)
- Journals
- Advanced Healthcare Materials (2 papers)Advanced Science (2 papers)Nanoscale (1 paper)JNCI Journal of the National Cancer Institute (1 paper)American Journal of Physiology-Renal Physiology (1 paper)
- Partner nations
- United KingdomUnited StatesSingapore
In The Last Decade
John Connell
18 papers receiving 337 citations
Peers
Comparison fields: 5 of 72
- Biomaterials 84
- Genetics 45
- Biomedical Engineering 156
- Radiology, Nuclear Medicine and Imaging 64
- Pulmonary and Respiratory Medicine 68
Countries citing papers authored by John Connell
This map shows the geographic impact of John Connell'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 John Connell with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John Connell more than expected).
Fields of papers citing papers by John Connell
This network shows the impact of papers produced by John Connell. 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 John Connell. The network helps show where John Connell may publish in the future.
Co-authors
The 25 scholars most cited alongside John Connell, 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 | 2013 | 72 | |
| 2 | 2015 | 69 | |
| 3 | 2016 | 43 | |
| 4 | 2018 | 36 | |
| 5 | 2013 | 26 | |
| 6 | 2020 | 23 | |
| 7 | 2020 | 20 | |
| 8 | 2021 | 20 | |
| 9 | 2022 | 12 | |
| 10 | 2018 | 5 | |
| 11 | 2023 | 4 | |
| 12 | 2021 | 3 | |
| 13 | 2024 | 2 | |
| 14 | 2022 | 2 | |
| 15 | 2022 | 2 | |
| 16 | 2025 | 1 | |
| 17 | 2016 | 1 | |
| 18 | 2022 | 1 |
About John Connell
John Connell is a scholar working on Biomedical Engineering, Radiology, Nuclear Medicine and Imaging, Biomaterials, Hepatology and Genetics, having authored 18 papers that have together received 342 indexed citations. Recurring topics across this work include MRI in cancer diagnosis (3 papers), Nanoparticle-Based Drug Delivery (3 papers), Nanoplatforms for cancer theranostics (3 papers), Hepatocellular Carcinoma Treatment and Prognosis (3 papers), Radiomics and Machine Learning in Medical Imaging (2 papers), Advanced Nanomaterials in Catalysis (2 papers), Microfluidic and Bio-sensing Technologies (2 papers) and Liver Disease Diagnosis and Treatment (2 papers). The work is most often cited by research in Biomaterials (84 citations), Genetics (45 citations), Biomedical Engineering (156 citations), Radiology, Nuclear Medicine and Imaging (64 citations) and Pulmonary and Respiratory Medicine (68 citations). John Connell has collaborated with scholars based in United Kingdom, United States and Singapore. Frequent co-authors include Mark F. Lythgoe, P. Stephen Patrick, Tammy L. Kalber, Yichao Yu, Nicola R. Sibson, Alastair Hamilton, Bart Cornelissen, Daniel C. Anthony, Katherine A. Vallis and Jennifer L. Huang. Their work appears in journals such as Advanced Healthcare Materials, Advanced Science, Nanoscale, JNCI Journal of the National Cancer Institute and American Journal of Physiology-Renal Physiology.
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.