Ben Peacock

1.3k total citations
17 papers, 632 citations indexed

About

Ben Peacock is a scholar working on Molecular Biology, Cancer Research and Biomedical Engineering. According to data from OpenAlex, Ben Peacock has authored 17 papers receiving a total of 632 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 6 papers in Cancer Research and 5 papers in Biomedical Engineering. Recurrent topics in Ben Peacock's work include Extracellular vesicles in disease (15 papers), MicroRNA in disease regulation (6 papers) and RNA Interference and Gene Delivery (4 papers). Ben Peacock is often cited by papers focused on Extracellular vesicles in disease (15 papers), MicroRNA in disease regulation (6 papers) and RNA Interference and Gene Delivery (4 papers). Ben Peacock collaborates with scholars based in United Kingdom, Italy and Australia. Ben Peacock's co-authors include Alice Law, Dimitri Aubert, Adriele Prina‐Mello, Giacomo Della Camera, Gabriele Vella, Robert Vogel, Fanny Caputo, Luigi Calzolai, John R. K. Savage and Dóra Méhn and has published in prestigious journals such as SHILAP Revista de lepidopterología, The FASEB Journal and International Journal of Molecular Sciences.

In The Last Decade

Ben Peacock

17 papers receiving 627 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Ben Peacock United Kingdom 12 422 187 140 105 78 17 632
Dimitri Aubert United Kingdom 6 540 1.3× 259 1.4× 142 1.0× 104 1.0× 78 1.0× 9 805
Yunxue Li China 17 259 0.6× 158 0.8× 55 0.4× 84 0.8× 35 0.4× 22 607
Biquan Li China 6 478 1.1× 245 1.3× 88 0.6× 31 0.3× 10 0.1× 8 696
Wenchang Qian China 11 297 0.7× 195 1.0× 145 1.0× 38 0.4× 14 0.2× 19 558
Yixin Yin China 13 228 0.5× 153 0.8× 109 0.8× 29 0.3× 26 0.3× 39 614
Pengcheng Dou China 13 241 0.6× 192 1.0× 32 0.2× 41 0.4× 25 0.3× 18 446
Dafan Chen China 14 103 0.2× 78 0.4× 61 0.4× 35 0.3× 12 0.2× 29 565
Wenxin Huang China 16 321 0.8× 173 0.9× 117 0.8× 47 0.4× 13 0.2× 37 690
Tong Lü China 14 107 0.3× 57 0.3× 66 0.5× 16 0.2× 18 0.2× 44 474
Fen Fu China 12 164 0.4× 69 0.4× 97 0.7× 31 0.3× 8 0.1× 29 465

Countries citing papers authored by Ben Peacock

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Ben Peacock

This figure shows the co-authorship network connecting the top 25 collaborators of Ben Peacock. A scholar is included among the top collaborators of Ben Peacock based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ben Peacock. Ben Peacock is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
1.
Peacock, Ben, et al.. (2025). Quantitative fluorescent nanoparticle tracking analysis and nano‐flow cytometry enable advanced characterization of single extracellular vesicles. Journal of Extracellular Biology. 4(1). e70031–e70031. 17 indexed citations
2.
Bortot, Barbara, Ben Peacock, Francesco Valle, et al.. (2024). Platelets as key cells in endometriosis patients: Insights from small extracellular vesicles in peritoneal fluid and endometriotic lesions analysis. The FASEB Journal. 38(24). e70267–e70267. 1 indexed citations
3.
Gethings, Lee A., Ben Peacock, Andrew J. Capel, et al.. (2024). Extracellular vesicles may provide an alternative detoxification pathway during skeletal muscle myoblast ageing. SHILAP Revista de lepidopterología. 3(8). e171–e171. 1 indexed citations
4.
Law, Alice, et al.. (2024). Shining a light on fluorescent EV dyes: Evaluating efficacy, specificity and suitability by nano‐flow cytometry. SHILAP Revista de lepidopterología. 3(10). e70006–e70006. 6 indexed citations
5.
Ardisasmita, Arif Ibrahim, Songpu Xie, Anders Gunnarsson, et al.. (2023). TOP-EVs: Technology of Protein delivery through Extracellular Vesicles is a versatile platform for intracellular protein delivery. Journal of Controlled Release. 355. 579–592. 46 indexed citations
6.
Man, Kenny, et al.. (2023). Epigenetic Reprogramming via Synergistic Hypomethylation and Hypoxia Enhances the Therapeutic Efficacy of Mesenchymal Stem Cell Extracellular Vesicles for Bone Repair. International Journal of Molecular Sciences. 24(8). 7564–7564. 12 indexed citations
7.
8.
Hrout, Ala’a Al, et al.. (2023). Assessing Extracellular Vesicles in Human Biofluids Using Flow‐Based Analyzers. Advanced Healthcare Materials. 12(32). e2301706–e2301706. 25 indexed citations
9.
Law, Alice, et al.. (2023). Comparison of extracellular vesicle isolation processes for therapeutic applications. Journal of Tissue Engineering. 14. 1778664913–1778664913. 38 indexed citations
10.
Law, Alice, et al.. (2022). Single Extracellular Vesicle Transmembrane Protein Characterization by Nano-Flow Cytometry. Journal of Visualized Experiments. 2 indexed citations
11.
Law, Alice, et al.. (2022). Single Extracellular Vesicle Transmembrane Protein Characterization by Nano-Flow Cytometry. Journal of Visualized Experiments. 13 indexed citations
12.
Bortot, Barbara, Alessandro Mangogna, Ben Peacock, et al.. (2022). Platelet Activation in Ovarian Cancer Ascites: Assessment of GPIIb/IIIa and PF4 in Small Extracellular Vesicles by Nano-Flow Cytometry Analysis. Cancers. 14(17). 4100–4100. 6 indexed citations
13.
Man, Kenny, et al.. (2022). Controlled Release of Epigenetically-Enhanced Extracellular Vesicles from a GelMA/Nanoclay Composite Hydrogel to Promote Bone Repair. International Journal of Molecular Sciences. 23(2). 832–832. 56 indexed citations
14.
Caputo, Fanny, Robert Vogel, John R. K. Savage, et al.. (2021). Measuring particle size distribution and mass concentration of nanoplastics and microplastics: addressing some analytical challenges in the sub-micron size range. Journal of Colloid and Interface Science. 588. 401–417. 158 indexed citations
15.
Silva, Andreia, Elisa Lázaro‐Ibáñez, Anders Gunnarsson, et al.. (2021). Quantification of protein cargo loading into engineered extracellular vesicles at single‐vesicle and single‐molecule resolution. Journal of Extracellular Vesicles. 10(10). e12130–e12130. 132 indexed citations
16.
Vogel, Robert, John R. K. Savage, Julien Muzard, et al.. (2021). Measuring particle concentration of multimodal synthetic reference materials and extracellular vesicles with orthogonal techniques: Who is up to the challenge?. Journal of Extracellular Vesicles. 10(3). e12052–e12052. 78 indexed citations
17.
Peacock, Ben, James Bradford, Ryan Pink, et al.. (2018). Extracellular vesicle microRNA cargo is correlated with HPV status in oropharyngeal carcinoma. Journal of Oral Pathology and Medicine. 47(10). 954–963. 28 indexed citations

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.

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