Daniel Robinson
Impact in
- Cancer Research top 2%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Molecular Biology top 10%
- RNA modifications and cancer
- RNA Research and Splicing
- Circular RNAs in diseases
- Cancer-related gene regulation
- Molecular Biology Techniques and Applications
Papers in
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- PI3K/AKT/mTOR signaling in cancer 3
- Ubiquitin and proteasome pathways 1
- Glycosylation and Glycoproteins Research 1
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- Prostate Cancer Treatment and Research 3
- Co-authors
- Xiaojun Jing (3 shared papers)Irfan A. Asangani (2 shared papers)Christopher A. Maher (2 shared papers)Qi Cao (3 shared papers)Nallasivam Palanisamy (3 shared papers)Xuhong Cao (2 shared papers)Saravana M. Dhanasekaran (3 shared papers)Xiaoju Wang (1 shared paper)
- Journals
- Journal of Biomedical Science (2 papers)Journal of Biological Chemistry (2 papers)Cancer Research (2 papers)Oncogene (1 paper)Current Drug Targets (1 paper)
- Partner nations
- United StatesTaiwanUnited Kingdom
In The Last Decade
Daniel Robinson
14 papers receiving 1.1k citations
Daniel Robinson's Hit Papers
Peers
Comparison fields: 5 of 83
- Cancer Research 723
- Molecular Biology 772
- Pulmonary and Respiratory Medicine 135
- Oncology 103
- Immunology 64
Countries citing papers authored by Daniel Robinson
This map shows the geographic impact of Daniel Robinson'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 Robinson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Robinson more than expected).
Fields of papers citing papers by Daniel Robinson
This network shows the impact of papers produced by Daniel Robinson. 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 Robinson. The network helps show where Daniel Robinson may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Robinson, 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 | Transcriptome sequencing across a prostate cancer cohort identifies PCAT-1, an unannotated lincRNA implicated in disease progression Hit paper breakdown → | 2011 | 816 |
| 2 | 2008 | 91 | |
| 3 | 2000 | 58 | |
| 4 | 2000 | 51 | |
| 5 | 2004 | 34 | |
| 6 | 2013 | 33 | |
| 7 | 2011 | 21 | |
| 8 | 1998 | 21 | |
| 9 | 1990 | 19 | |
| 10 | 2018 | 7 | |
| 11 | 2011 | 6 | |
| 12 | 1998 | 2 | |
| 13 | 2012 | 2 | |
| 14 | 2010 | 1 | |
| 15 | 2011 | 0 |
About Daniel Robinson
Daniel Robinson is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Oncology, Cancer Research and Surgery, having authored 15 papers that have together received 1.2k indexed citations. Recurring topics across this work include Prostate Cancer Treatment and Research (3 papers), PI3K/AKT/mTOR signaling in cancer (3 papers), Colorectal Cancer Treatments and Studies (2 papers), NF-κB Signaling Pathways (2 papers), Cancer-related molecular mechanisms research (2 papers), Alzheimer's disease research and treatments (1 paper), Ubiquitin and proteasome pathways (1 paper) and Glycosylation and Glycoproteins Research (1 paper). The work is most often cited by research in Cancer Research (723 citations), Molecular Biology (772 citations), Pulmonary and Respiratory Medicine (135 citations), Oncology (103 citations) and Immunology (64 citations). Daniel Robinson has collaborated with scholars based in United States, Taiwan and United Kingdom. Frequent co-authors include Xiaojun Jing, Irfan A. Asangani, Christopher A. Maher, Qi Cao, Nallasivam Palanisamy, Xuhong Cao, Saravana M. Dhanasekaran, Xiaoju Wang, Javed Siddiqui and Arul M. Chinnaiyan. Their work appears in journals such as Journal of Biomedical Science, Journal of Biological Chemistry, Cancer Research, Oncogene and Current Drug Targets.
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.