Daniel Robinson

1.7k citations
15 papers · 1.2k · 1 hit paper · h-index 9

Impact in

    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation
    • RNA modifications and cancer
    • RNA Research and Splicing
    • Circular RNAs in diseases
    • Cancer-related gene regulation
    • Molecular Biology Techniques and Applications

Papers in

Daniel Robinson

14 papers receiving 1.1k citations

Daniel Robinson's Hit Papers

Transcriptome sequencing across a prostate cancer cohort identifies PCAT-1, an unannotated lincRNA implicated in disease progression 2011 · 815 citations
8150+5+10Years since publication250500750

Peers

Daniel Robinson
Comparison fields: 5 of 86
  • Cancer Research 772
  • Molecular Biology 889
  • Pulmonary and Respiratory Medicine 159
  • Oncology 120
  • Endocrinology 21
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Yojiro Kotake Japan
Jupeng Yuan China
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Citations per field
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Citations per year

Countries citing papers authored by Daniel Robinson

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Daniel Robinson Line = papers co-authored together Daniel Robinson links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1
Transcriptome sequencing across a prostate cancer cohort identifies PCAT-1, an unannotated lincRNA implicated in disease progression
Hit paper breakdown →
2011815
2 200891
3 200058
4 200051
5 200434
6 201333
7 199821
8 201120
9 199019
10 20187
11 20116
12 20122
13 19982
14 20101
15 20110

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), Cancer-related molecular mechanisms research (2 papers), NF-κB Signaling Pathways (2 papers), Occupational and environmental lung diseases (1 paper), Signaling Pathways in Disease (1 paper) and Alzheimer's disease research and treatments (1 paper). The work is most often cited by research in Cancer Research (772 citations), Molecular Biology (889 citations), Pulmonary and Respiratory Medicine (159 citations), Oncology (120 citations) and Endocrinology (21 citations). Daniel Robinson has collaborated with scholars based in United States, Taiwan and United Kingdom. Frequent co-authors include Hari Iyer, Hal D. Kominsky, J. Chad Brenner, Christopher A. Maher, Qi Cao, Nallasivam Palanisamy, Irfan A. Asangani, Catherine S. Grasso, Bharathi Laxman and Xiaojun Jing. Their work appears in journals such as Journal of Biomedical Science, Journal of Biological Chemistry, Cancer Research, Scientific Reports and Journal of Skin Cancer.

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.

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