Joseph Kaplinsky
Impact in
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- T-cell and B-cell Immunology
- Immune Cell Function and Interaction
Papers in
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- vaccines and immunoinformatics approaches 3
- Single-cell and spatial transcriptomics 2
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- T-cell and B-cell Immunology 3
- Co-authors
- Ramy Arnaout (2 shared papers)Ali Salehi‐Reyhani (2 shared papers)Keith R. Willison (2 shared papers)David R. Klug (2 shared papers)Oscar Ces (2 shared papers)Mark A. A. Neil (2 shared papers)Andrew J. deMello (1 shared paper)Peter J. Parker (1 shared paper)
- Journals
- Computational and Structural Biotechnology Journal (1 paper)Nature Communications (1 paper)Lab on a Chip (1 paper)Proceedings of the National Academy of Sciences (1 paper)The Analyst (1 paper)
- Partner nations
- DenmarkUnited StatesUnited Kingdom
In The Last Decade
Joseph Kaplinsky
9 papers receiving 241 citations
Peers
Comparison fields: 5 of 58
- Immunology 81
- Biophysics 18
- Radiology, Nuclear Medicine and Imaging 40
- Molecular Biology 110
- Biomedical Engineering 68
Countries citing papers authored by Joseph Kaplinsky
This map shows the geographic impact of Joseph Kaplinsky'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 Joseph Kaplinsky with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joseph Kaplinsky more than expected).
Fields of papers citing papers by Joseph Kaplinsky
This network shows the impact of papers produced by Joseph Kaplinsky. 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 Joseph Kaplinsky. The network helps show where Joseph Kaplinsky may publish in the future.
Co-authors
The 25 scholars most cited alongside Joseph Kaplinsky, 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 | 2011 | 85 | |
| 2 | 2016 | 57 | |
| 3 | 2014 | 38 | |
| 4 | 2014 | 18 | |
| 5 | 2017 | 14 | |
| 6 | 2020 | 13 | |
| 7 | 2019 | 12 | |
| 8 | 2023 | 4 | |
| 9 | 2018 | 2 | |
| 10 | 2017 | 0 |
About Joseph Kaplinsky
Joseph Kaplinsky is a scholar working on Molecular Biology, Immunology, Biomedical Engineering, Biomaterials and Radiology, Nuclear Medicine and Imaging, having authored 10 papers that have together received 243 indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (3 papers), vaccines and immunoinformatics approaches (3 papers), Graphene and Nanomaterials Applications (2 papers), Microfluidic and Bio-sensing Technologies (2 papers), Nanoparticle-Based Drug Delivery (2 papers), Single-cell and spatial transcriptomics (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers) and Cancer Mechanisms and Therapy (1 paper). The work is most often cited by research in Immunology (81 citations), Biophysics (18 citations), Radiology, Nuclear Medicine and Imaging (40 citations), Molecular Biology (110 citations) and Biomedical Engineering (68 citations). Joseph Kaplinsky has collaborated with scholars based in Denmark, United States and United Kingdom. Frequent co-authors include Ramy Arnaout, Ali Salehi‐Reyhani, Keith R. Willison, David R. Klug, Oscar Ces, Mark A. A. Neil, Andrew J. deMello, Peter J. Parker, P. M. W. French and Richard H. Templer. Their work appears in journals such as Computational and Structural Biotechnology Journal, Nature Communications, Lab on a Chip, Proceedings of the National Academy of Sciences and The Analyst.
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.