Todd Riley
Impact in
- Hepatology top 2%
- Liver physiology and pathology
- Oncology top 5%
- Cancer-related Molecular Pathways
Papers in
-
- Genomics and Chromatin Dynamics 6
- Ubiquitin and proteasome pathways 3
- RNA Research and Splicing 3
- Epigenetics and DNA Methylation 2
- Gene expression and cancer classification 1
- Co-authors
- Arnold J. Levine (3 shared papers)Eduardo D. Sontag (2 shared papers)Patricia Chen (1 shared paper)Harmen J. Bussemaker (6 shared papers)Richard S. Mann (3 shared papers)Joseph Locker (1 shared paper)Tianyin Zhou (2 shared papers)William C. Bowen (1 shared paper)
- Journals
- Proceedings of the National Academy of Sciences (2 papers)Cell (1 paper)Nature Biotechnology (1 paper)The Journal of Cell Biology (1 paper)Scientific Reports (1 paper)
- Partner nations
- United StatesFinlandCanada
In The Last Decade
Todd Riley
13 papers receiving 3.1k citations
Todd Riley's Hit Papers
Peers
Comparison fields: 5 of 110
- Hepatology 323
- Oncology 865
- Molecular Biology 2.2k
- Cancer Research 402
- Biotechnology 108
Countries citing papers authored by Todd Riley
This map shows the geographic impact of Todd 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 Todd Riley with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Todd Riley more than expected).
Fields of papers citing papers by Todd Riley
This network shows the impact of papers produced by Todd 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 Todd Riley. The network helps show where Todd Riley may publish in the future.
Co-authors
The 25 scholars most cited alongside Todd Riley, 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 | Transcriptional control of human p53-regulated genes Hit paper breakdown → | 2008 | 1578 |
| 2 | 1996 | 420 | |
| 3 | 2011 | 389 | |
| 4 | 2013 | 276 | |
| 5 | 2013 | 123 | |
| 6 | 2009 | 112 | |
| 7 | 2012 | 99 | |
| 8 | 2014 | 66 | |
| 9 | 2015 | 30 | |
| 10 | 2018 | 12 | |
| 11 | 2009 | 11 | |
| 12 | 2019 | 9 | |
| 13 | 2018 | 8 |
About Todd Riley
Todd Riley is a scholar working on Molecular Biology, Epidemiology, Genetics, Surgery and Oncology, having authored 13 papers that have together received 3.1k indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (6 papers), Ubiquitin and proteasome pathways (3 papers), RNA Research and Splicing (3 papers), Epigenetics and DNA Methylation (2 papers), Organ Transplantation Techniques and Outcomes (1 paper), Gene expression and cancer classification (1 paper), Endoplasmic Reticulum Stress and Disease (1 paper) and Liver physiology and pathology (1 paper). The work is most often cited by research in Hepatology (323 citations), Oncology (865 citations), Molecular Biology (2.2k citations), Cancer Research (402 citations) and Biotechnology (108 citations). Todd Riley has collaborated with scholars based in United States, Finland and Canada. Frequent co-authors include Arnold J. Levine, Eduardo D. Sontag, Patricia Chen, Harmen J. Bussemaker, Richard S. Mann, Joseph Locker, Tianyin Zhou, William C. Bowen, Bryon E. Petersen and Geoffrey D. Block. Their work appears in journals such as Proceedings of the National Academy of Sciences, Cell, Nature Biotechnology, The Journal of Cell Biology and Scientific Reports.
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.