Ben Peacock
Impact in
- Cancer Research top 10%
- MicroRNA in disease regulation
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- Recycling and Waste Management Techniques
Papers in
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- Extracellular vesicles in disease 15
- RNA Interference and Gene Delivery 4
- Single-cell and spatial transcriptomics 2
- Advanced biosensing and bioanalysis techniques 1
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- MicroRNA in disease regulation 6
- Co-authors
- Alice Law (6 shared papers)Dimitri Aubert (5 shared papers)Luigi Calzolai (2 shared papers)Gabriele Vella (2 shared papers)Adriele Prina‐Mello (2 shared papers)Fanny Caputo (2 shared papers)Dóra Méhn (2 shared papers)John R. K. Savage (2 shared papers)
- Journals
- International Journal of Molecular Sciences (2 papers)Journal of Visualized Experiments (2 papers)Journal of Extracellular Vesicles (2 papers)Journal of Oral Pathology and Medicine (1 paper)Journal of Colloid and Interface Science (1 paper)
- Partner nations
- United KingdomItalyAustralia
In The Last Decade
Ben Peacock
17 papers receiving 627 citations
Peers
Comparison fields: 5 of 90
- Cancer Research 187
- Industrial and Manufacturing Engineering 78
- Pollution 105
- Molecular Biology 422
- Biomaterials 57
Countries citing papers authored by Ben Peacock
This map shows the geographic impact of Ben Peacock'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 Ben Peacock with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ben Peacock more than expected).
Fields of papers citing papers by Ben Peacock
This network shows the impact of papers produced by Ben Peacock. 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 Ben Peacock. The network helps show where Ben Peacock may publish in the future.
Co-authors
The 25 scholars most cited alongside Ben Peacock, 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 | 2021 | 158 | |
| 2 | 2021 | 132 | |
| 3 | 2021 | 78 | |
| 4 | 2022 | 56 | |
| 5 | 2023 | 46 | |
| 6 | 2023 | 38 | |
| 7 | 2018 | 28 | |
| 8 | 2023 | 25 | |
| 9 | 2025 | 17 | |
| 10 | 2022 | 13 | |
| 11 | 2023 | 13 | |
| 12 | 2023 | 12 | |
| 13 | 2024 | 6 | |
| 14 | 2022 | 6 | |
| 15 | 2022 | 2 | |
| 16 | 2024 | 1 | |
| 17 | 2024 | 1 |
About Ben Peacock
Ben Peacock is a scholar working on Molecular Biology, Cancer Research, Biomedical Engineering, Immunology and Surgery, having authored 17 papers that have together received 632 indexed citations. Recurring topics across this work include Extracellular vesicles in disease (15 papers), MicroRNA in disease regulation (6 papers), RNA Interference and Gene Delivery (4 papers), Single-cell and spatial transcriptomics (2 papers), Reproductive System and Pregnancy (2 papers), Microfluidic and Bio-sensing Technologies (2 papers), Endometriosis Research and Treatment (1 paper) and Advanced biosensing and bioanalysis techniques (1 paper). The work is most often cited by research in Cancer Research (187 citations), Industrial and Manufacturing Engineering (78 citations), Pollution (105 citations), Molecular Biology (422 citations) and Biomaterials (57 citations). Ben Peacock has collaborated with scholars based in United Kingdom, Italy and Australia. Frequent co-authors include Alice Law, Dimitri Aubert, Luigi Calzolai, Gabriele Vella, Adriele Prina‐Mello, Fanny Caputo, Dóra Méhn, John R. K. Savage, Robert Vogel and Otmar Geiss. Their work appears in journals such as International Journal of Molecular Sciences, Journal of Visualized Experiments, Journal of Extracellular Vesicles, Journal of Oral Pathology and Medicine and Journal of Colloid and Interface Science.
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.