Jack Sharkey
Impact in
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- Mesenchymal stem cell research
- Pharmacology top 10%
- Drug-Induced Hepatotoxicity and Protection
Papers in
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- Photoacoustic and Ultrasonic Imaging 10
- Nanoplatforms for cancer theranostics 5
- 3D Printing in Biomedical Research 4
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- Optical Imaging and Spectroscopy Techniques 4
- MRI in cancer diagnosis 2
- Co-authors
- Patricia Murray (17 shared papers)Bettina Wilm (14 shared papers)Antonius Plagge (3 shared papers)Arthur Taylor (9 shared papers)B. Kevin Park (6 shared papers)Rajeev Shukla (1 shared paper)Jing Zhou (1 shared paper)Raphaël Lévy (6 shared papers)
- Journals
- Molecular Imaging and Biology (2 papers)Nanoscale Advances (2 papers)Scientific Reports (2 papers)Contrast Media & Molecular Imaging (1 paper)Stem Cell Research & Therapy (1 paper)
- Partner nations
- United KingdomAustraliaUnited States
In The Last Decade
Jack Sharkey
24 papers receiving 699 citations
Peers
Comparison fields: 5 of 96
- Genetics 61
- Pharmacology 51
- Cancer Research 83
- Biomaterials 81
- Nephrology 34
Countries citing papers authored by Jack Sharkey
This map shows the geographic impact of Jack Sharkey'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 Jack Sharkey with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jack Sharkey more than expected).
Fields of papers citing papers by Jack Sharkey
This network shows the impact of papers produced by Jack Sharkey. 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 Jack Sharkey. The network helps show where Jack Sharkey may publish in the future.
Co-authors
The 25 scholars most cited alongside Jack Sharkey, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 112 | |
| 2 | 2017 | 101 | |
| 3 | 2018 | 78 | |
| 4 | 2016 | 71 | |
| 5 | 2015 | 46 | |
| 6 | 2017 | 44 | |
| 7 | 2017 | 44 | |
| 8 | 2018 | 32 | |
| 9 | 2018 | 29 | |
| 10 | 2012 | 26 | |
| 11 | 2017 | 20 | |
| 12 | 2016 | 19 | |
| 13 | 2018 | 17 | |
| 14 | 2019 | 14 | |
| 15 | 2022 | 11 | |
| 16 | 2019 | 9 | |
| 17 | 2020 | 8 | |
| 18 | 2019 | 7 | |
| 19 | 2022 | 5 | |
| 20 | 2022 | 4 |
About Jack Sharkey
Jack Sharkey is a scholar working on Biomedical Engineering, Radiology, Nuclear Medicine and Imaging, Molecular Biology, Biophysics and Cancer Research, having authored 24 papers that have together received 703 indexed citations. Recurring topics across this work include Photoacoustic and Ultrasonic Imaging (10 papers), Nanoplatforms for cancer theranostics (5 papers), Optical Imaging and Spectroscopy Techniques (4 papers), 3D Printing in Biomedical Research (4 papers), Gold and Silver Nanoparticles Synthesis and Applications (2 papers), MRI in cancer diagnosis (2 papers), Nanoparticle-Based Drug Delivery (2 papers) and Extracellular vesicles in disease (2 papers). The work is most often cited by research in Genetics (61 citations), Pharmacology (51 citations), Cancer Research (83 citations), Biomaterials (81 citations) and Nephrology (34 citations). Jack Sharkey has collaborated with scholars based in United Kingdom, Australia and United States. Frequent co-authors include Patricia Murray, Bettina Wilm, Antonius Plagge, Arthur Taylor, B. Kevin Park, Rajeev Shukla, Jing Zhou, Raphaël Lévy, Daniel J. Antoine and Joan Comenge. Their work appears in journals such as Molecular Imaging and Biology, Nanoscale Advances, Scientific Reports, Contrast Media & Molecular Imaging and Stem Cell Research & Therapy.
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.