Jason Webber
- Cancer Research top 0.5%
- MicroRNA in disease regulation 6
- Cancer, Lipids, and Metabolism 2
- Physiology top 1%
- Adenosine and Purinergic Signaling 2
- Molecular Biology top 2%
- Extracellular vesicles in disease 19
- RNA Interference and Gene Delivery 4
- Immunology and Allergy top 2%
- Immunology top 5%
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- Prostate Cancer Treatment and Research 5
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- Proteoglycans and glycosaminoglycans research 4
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- Tissue Engineering and Regenerative Medicine 2
- Co-authors
- Aled ClaytonZsuzsanna TabiMalcolm D. MasonRobert SteadmanSaly Al‐TaeiMark GurneyAled O. PhillipsSoma Meran
- Journals
- Journal of Extracellular Vesicles (6 papers)Journal of Biological Chemistry (3 papers)Oncotarget (2 papers)
- Partner nations
- United KingdomSpainUnited States
In The Last Decade
Jason Webber
27 papers receiving 3.6k citations
Hit Papers
Peers
Comparison fields: 5 of 109
- Cancer Research 1.7k
- Physiology 197
- Molecular Biology 2.9k
- Immunology and Allergy 208
- Immunology 565
Countries citing papers authored by Jason Webber
This map shows the geographic impact of Jason Webber'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 Jason Webber with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jason Webber more than expected).
Fields of papers citing papers by Jason Webber
This network shows the impact of papers produced by Jason Webber. 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 Jason Webber. The network helps show where Jason Webber may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jason Webber, 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 | 2024 | 7 | |
| 2 | 2023 | 3 | |
| 3 | 2022 | 6 | |
| 4 | 2021 | 21 | |
| 5 | 2020 | 5 | |
| 6 | 2019 | 31 | |
| 7 | 2018 | 1 | |
| 8 | 2016 | 57 | |
| 9 | 2015 | 124 | |
| 10 | 2015 | 189 | |
| 11 | Differentiation of tumour-promoting stromal myofibroblasts by cancer exosomesbreakdown → | 2014 | 356 |
| 12 | 2014 | 130 | |
| 13 | 2014 | 57 | |
| 14 | How pure are your vesicles?breakdown → | 2013 | 606 |
| 15 | 2011 | 440 | |
| 16 | 2011 | 76 | |
| 17 | Cancer Exosomes Trigger Fibroblast to Myofibroblast Differentiationbreakdown → | 2010 | 683 |
| 18 | 2009 | 74 | |
| 19 | 2009 | 116 | |
| 20 | 2009 | 108 |
About Jason Webber
Jason Webber is a scholar working on Cancer Research, Physiology and Molecular Biology, having authored 27 papers that have together received 3.6k indexed citations. Recurring topics across this work include Extracellular vesicles in disease (19 papers), MicroRNA in disease regulation (6 papers), Prostate Cancer Treatment and Research (5 papers), RNA Interference and Gene Delivery (4 papers), Proteoglycans and glycosaminoglycans research (4 papers), Tissue Engineering and Regenerative Medicine (2 papers), Cancer, Lipids, and Metabolism (2 papers) and Adenosine and Purinergic Signaling (2 papers). The work is most often cited by research in Cancer Research (1.7k citations), Physiology (197 citations) and Molecular Biology (2.9k citations). Jason Webber has collaborated with scholars based in United Kingdom, Spain and United States. Frequent co-authors include Aled Clayton, Zsuzsanna Tabi, Malcolm D. Mason, Robert Steadman, Saly Al‐Taei, Mark Gurney, Aled O. Phillips, Soma Meran, Lisa K. Spary and Vincent Yeung. Their work appears in journals such as Journal of Extracellular Vesicles, Journal of Biological Chemistry, Oncotarget, Nanoscale and Seminars in Cell and Developmental Biology.
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.