Daniel Riley

3.0k citations
61 papers · 2.3k · h-index 26

Impact in

    • Microtubule and mitosis dynamics
    • DNA Repair Mechanisms
    • Ubiquitin and proteasome pathways
    • Epigenetics and DNA Methylation
    • Mitochondrial Function and Pathology
    • Genomics and Chromatin Dynamics

Papers in

Daniel Riley

59 papers receiving 2.2k citations

Peers

Daniel Riley
Comparison fields: 5 of 130
  • Cell Biology 432
  • Molecular Biology 1.3k
  • Oncology 452
  • Transplantation 42
  • Genetics 406
Replace Yingnan Zhang with:
Yingnan Zhang China
Masatoshi Takagi Japan
Shuqing Liu China
Paul Vulto Netherlands
Deirdre A. Nelson United States
Peter Hirth United States
Alexander Roesch Germany
Dario Di Silvestre Italy
Liang Liang China
Daniel Riley relative to Yingnan Zhang China Yingnan Zhang's profile →
Citations per field
00.5×8.4×
Yingnan Zhang · 1×
Citations per year

Countries citing papers authored by Daniel Riley

Since Specialization
Citations

This map shows the geographic impact of Daniel Riley'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 Riley with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Riley more than expected).

Fields of papers citing papers by Daniel Riley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel Riley. 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 Riley. The network helps show where Daniel Riley may publish in the future.

Co-authors

The 25 scholars most cited alongside Daniel Riley, 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 Riley Line = papers co-authored together Daniel Riley links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 61 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1995254
2 1994192
3 1996160
4 2002118
5 1997117
6 2003107
7 200184
8 199680
9 201780
10 200976
11 200870
12 201165
13 200460
14 200758
15 199756
16 201853
17 199750
18
The retinoblastoma protein as a fundamental mediator of growth and differentiation signals.
199548
19 201043
20 201142

About Daniel Riley

Daniel Riley is a scholar working on Molecular Biology, Oncology, Genetics, Cell Biology and Electrical and Electronic Engineering, having authored 61 papers that have together received 2.3k indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (14 papers), DNA Repair Mechanisms (8 papers), Microtubule and mitosis dynamics (7 papers), solar cell performance optimization (6 papers), Ocular Oncology and Treatments (6 papers), Solar Radiation and Photovoltaics (5 papers), Photovoltaic System Optimization Techniques (5 papers) and Virus-based gene therapy research (4 papers). The work is most often cited by research in Cell Biology (432 citations), Molecular Biology (1.3k citations), Oncology (452 citations), Transplantation (42 citations) and Genetics (406 citations). Daniel Riley has collaborated with scholars based in United States, Taiwan and Belgium. Frequent co-authors include Yumay Chen, Phang‐Lang Chen, Wen‐Hwa Lee, Chi‐Fen Chen, Wen‐Hwa Lee, Eva Y.-H.P. Lee, Pablo E. Pérgola, C. Kent Osborne, D. Craig Allred and Daniel D. Von Hoff. Their work appears in journals such as Molecular and Cellular Biology, IEEE Journal of Photovoltaics, Cell Cycle, Annals of the New York Academy of Sciences and Journal of Biological Chemistry.

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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