John Beadle
Impact in
- Genetics top 10%
- Virus-based gene therapy research
- Biotechnology top 10%
- Cancer Research and Treatments
Papers in
- Co-authors
- Andrew J.S. Coats (6 shared papers)Stephan von Haehling (3 shared papers)Brian Champion (8 shared papers)Stefan D. Anker (3 shared papers)Emiliano Calvo (6 shared papers)Ramón Salazar (6 shared papers)Gwo Fuang Ho (3 shared papers)Leonard W. Seymour (3 shared papers)
- Journals
- Annals of Oncology (3 papers)Journal of Clinical Oncology (3 papers)Journal of Cachexia Sarcopenia and Muscle (3 papers)Journal for ImmunoTherapy of Cancer (3 papers)Molecular Therapy — Oncolytics (2 papers)
- Partner nations
- United KingdomUnited StatesAustralia
In The Last Decade
John Beadle
23 papers receiving 700 citations
Peers
Comparison fields: 5 of 74
- Genetics 277
- Biotechnology 82
- Oncology 246
- Physiology 206
- Infectious Diseases 104
Countries citing papers authored by John Beadle
This map shows the geographic impact of John Beadle'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 John Beadle with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John Beadle more than expected).
Fields of papers citing papers by John Beadle
This network shows the impact of papers produced by John Beadle. 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 John Beadle. The network helps show where John Beadle may publish in the future.
Co-authors
The 25 scholars most cited alongside John Beadle, 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 | 2017 | 122 | |
| 2 | 2016 | 118 | |
| 3 | 2009 | 110 | |
| 4 | 2019 | 72 | |
| 5 | 2013 | 57 | |
| 6 | 2011 | 47 | |
| 7 | 2016 | 43 | |
| 8 | 2017 | 40 | |
| 9 | 2003 | 28 | |
| 10 | 2000 | 23 | |
| 11 | 2013 | 20 | |
| 12 | 2014 | 14 | |
| 13 | 2014 | 9 | |
| 14 | 2014 | 8 | |
| 15 | 2014 | 5 | |
| 16 | 2012 | 4 | |
| 17 | 2016 | 3 | |
| 18 | 2020 | 2 | |
| 19 | 2022 | 2 | |
| 20 | Evaluation of Enadenotucirev (ColoAd1), an oncolytic Ad11/Ad3 chimeric group B adenovirus, in combination with chemotherapeutic agents in a murine model of ovarian cancer | 2014 | 1 |
About John Beadle
John Beadle is a scholar working on Genetics, Oncology, Biotechnology, Molecular Biology and Physiology, having authored 24 papers that have together received 731 indexed citations. Recurring topics across this work include Virus-based gene therapy research (12 papers), CAR-T cell therapy research (9 papers), Cancer Research and Treatments (7 papers), Nutrition and Health in Aging (5 papers), bioluminescence and chemiluminescence research (2 papers), Cancer, Stress, Anesthesia, and Immune Response (2 papers), RNA Interference and Gene Delivery (2 papers) and GDF15 and Related Biomarkers (2 papers). The work is most often cited by research in Genetics (277 citations), Biotechnology (82 citations), Oncology (246 citations), Physiology (206 citations) and Infectious Diseases (104 citations). John Beadle has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include Andrew J.S. Coats, Stephan von Haehling, Brian Champion, Stefan D. Anker, Emiliano Calvo, Ramón Salazar, Gwo Fuang Ho, Leonard W. Seymour, Kerry D. Fisher and R. H. Brown. Their work appears in journals such as Annals of Oncology, Journal of Clinical Oncology, Journal of Cachexia Sarcopenia and Muscle, Journal for ImmunoTherapy of Cancer and Molecular Therapy — Oncolytics.
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.