R. F. Newbold
- Co-authors
- Kefah MokbelWen G. JiangTimothy RobertsWalid SasiW Al SarakbiEric Kenneth ParkinsonJacquelyn BondAndrew Cuthbert
- Topics
- Telomeres, Telomerase, and Senescence (10 papers)Epigenetics and DNA Methylation (5 papers)Cancer Research and Treatments (3 papers)
- Cited by
- AgingPhysiologyMolecular Biology
- Partner nations
- United KingdomSwitzerlandBrunei
In The Last Decade
R. F. Newbold
18 papers receiving 747 citations
Peers
Comparison fields: 5 of 65
- Molecular Biology 533
- Physiology 329
- Oncology 157
- Genetics 100
- Cancer Research 97
Countries citing papers authored by R. F. Newbold
This map shows the geographic impact of R. F. Newbold'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 R. F. Newbold with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites R. F. Newbold more than expected).
Fields of papers citing papers by R. F. Newbold
This network shows the impact of papers produced by R. F. Newbold. 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 R. F. Newbold. The network helps show where R. F. Newbold may publish in the future.
Co-authorship network of co-authors of R. F. Newbold
This figure shows the co-authorship network connecting the top 25 collaborators of R. F. Newbold. A scholar is included among the top collaborators of R. F. Newbold 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 R. F. Newbold. R. F. Newbold is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 34 | |
| 2 | 1 | |
| 3 | Evidence of a tumour suppressor function for DLEC1 in human breast cancer. | 8 |
| 4 | 98 | |
| 5 | Evidence of a tumour suppressive function of E2F1 gene in human breast cancer. | 26 |
| 6 | hTERT mRNA expression is associated with a poor clinical outcome in human breast cancer. | 22 |
| 7 | WNT5A expression in human breast cancer. | 70 |
| 8 | 5 | |
| 9 | 7 | |
| 10 | 62 | |
| 11 | Telomere length abnormalities in mammalian radiosensitive cells. | 128 |
| 12 | 37 | |
| 13 | The association between telomerase activity and hormone receptor status and p53 expression in breast cancer. | 18 |
| 14 | Chaos Theory in Nonnus' 'Dionysiaca' | 1 |
| 15 | 99 | |
| 16 | Telomerase as an anti-cancer drug target: will it fulfil its early promise? | 8 |
| 17 | 65 | |
| 18 | 71 |
About R. F. Newbold
R. F. Newbold is a scholar working on Physiology, Biotechnology and Molecular Biology, having authored 18 papers that have together received 760 indexed citations. Recurring topics across this work include Telomeres, Telomerase, and Senescence (10 papers), Epigenetics and DNA Methylation (5 papers) and Cancer Research and Treatments (3 papers). The work is most often cited by research in Aging (46 citations), Physiology (329 citations) and Molecular Biology (533 citations). R. F. Newbold has collaborated with scholars based in United Kingdom, Switzerland and Brunei. Frequent co-authors include Kefah Mokbel, Wen G. Jiang, Timothy Roberts, Walid Sasi, W Al Sarakbi, Eric Kenneth Parkinson, Jacquelyn Bond, Andrew Cuthbert, Joanne McIlrath and Simon Bouffler. Their work appears in journals such as JNCI Journal of the National Cancer Institute, Cancer Research and Oncogene.
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.