Daniel P. Caley
Impact in
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
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- RNA modifications and cancer
- Circular RNAs in diseases
- RNA Research and Splicing
- Extracellular vesicles in disease
- RNA and protein synthesis mechanisms
Papers in
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- RNA modifications and cancer 3
- Genomics and Chromatin Dynamics 2
- RNA Research and Splicing 2
- RNA and protein synthesis mechanisms 1
- Viral Infectious Diseases and Gene Expression in Insects 1
- Epigenetics and DNA Methylation 1
-
- Cancer-related molecular mechanisms research 3
- Co-authors
- Ryan Pink (6 shared papers)David Raul Francisco Carter (3 shared papers)Laura A. Jacobs (1 shared paper)Kate Wicks (1 shared paper)David R. F. Carter (4 shared papers)Susan A. Brooks (2 shared papers)Priya Samuel (2 shared papers)Daniel Trujillano (1 shared paper)
- Journals
- PLoS ONE (2 papers)Toxins (1 paper)Gynecologic Oncology (1 paper)Clinical Cancer Research (1 paper)Blood (1 paper)
- Partner nations
- United KingdomCanadaUnited States
In The Last Decade
Daniel P. Caley
10 papers receiving 848 citations
Peers
Comparison fields: 5 of 87
- Cancer Research 396
- Molecular Biology 568
- Reproductive Medicine 26
- Pulmonary and Respiratory Medicine 95
- Genetics 79
Countries citing papers authored by Daniel P. Caley
This map shows the geographic impact of Daniel P. Caley'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 Daniel P. Caley with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel P. Caley more than expected).
Fields of papers citing papers by Daniel P. Caley
This network shows the impact of papers produced by Daniel P. Caley. 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 Daniel P. Caley. The network helps show where Daniel P. Caley may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel P. Caley, 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 | 2011 | 340 | |
| 2 | 2015 | 175 | |
| 3 | 2010 | 122 | |
| 4 | 2015 | 67 | |
| 5 | 2011 | 53 | |
| 6 | 2016 | 51 | |
| 7 | 2015 | 47 | |
| 8 | 2010 | 4 | |
| 9 | 2019 | 3 | |
| 10 | 2024 | 2 |
About Daniel P. Caley
Daniel P. Caley is a scholar working on Molecular Biology, Cancer Research, Pulmonary and Respiratory Medicine, Oncology and Genetics, having authored 10 papers that have together received 864 indexed citations. Recurring topics across this work include RNA modifications and cancer (3 papers), Cancer-related molecular mechanisms research (3 papers), Prostate Cancer Treatment and Research (2 papers), Genomics and Chromatin Dynamics (2 papers), RNA Research and Splicing (2 papers), RNA and protein synthesis mechanisms (1 paper), Viral Infectious Diseases and Gene Expression in Insects (1 paper) and Epigenetics and DNA Methylation (1 paper). The work is most often cited by research in Cancer Research (396 citations), Molecular Biology (568 citations), Reproductive Medicine (26 citations), Pulmonary and Respiratory Medicine (95 citations) and Genetics (79 citations). Daniel P. Caley has collaborated with scholars based in United Kingdom, Canada and United States. Frequent co-authors include Ryan Pink, David Raul Francisco Carter, Laura A. Jacobs, Kate Wicks, David R. F. Carter, Susan A. Brooks, Priya Samuel, Daniel Trujillano, Davide Massa and Naresh Magan. Their work appears in journals such as PLoS ONE, Toxins, Gynecologic Oncology, Clinical Cancer Research and Blood.
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.