Daniel P. Denning
Impact in
- Aging top 5%
- Molecular Biology top 10%
- RNA Research and Splicing
- Nuclear Structure and Function
- Genomics and Chromatin Dynamics
- RNA regulation and disease
- Cell death mechanisms and regulation
- Lipid Membrane Structure and Behavior
Papers in
-
- RNA Research and Splicing 6
- Nuclear Structure and Function 4
- Genomics and Chromatin Dynamics 3
- Pluripotent Stem Cells Research 2
- RNA regulation and disease 2
- Aging 4
- Genetics, Aging, and Longevity in Model Organisms 4
- Co-authors
- Michael Rexach (5 shared papers)H. Robert Horvitz (5 shared papers)Samir S. Patel (3 shared papers)Vladimir N. Uversky (2 shared papers)Anthony L. Fink (2 shared papers)Jun Suzuki (1 shared paper)Shigekazu Nagata (1 shared paper)Victoria Hatch (2 shared papers)
- Journals
- Nature (2 papers)Proceedings of the National Academy of Sciences (2 papers)Journal of Biological Chemistry (1 paper)PLoS Computational Biology (1 paper)Science (1 paper)
- Partner nations
- United StatesRussiaJapan
In The Last Decade
Daniel P. Denning
12 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 93
- Aging 67
- Molecular Biology 966
- Immunology 265
- Cell Biology 147
- Endocrine and Autonomic Systems 46
Countries citing papers authored by Daniel P. Denning
This map shows the geographic impact of Daniel P. Denning'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. Denning 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. Denning more than expected).
Fields of papers citing papers by Daniel P. Denning
This network shows the impact of papers produced by Daniel P. Denning. 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. Denning. The network helps show where Daniel P. Denning may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel P. Denning, 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 | 2013 | 439 | |
| 2 | 2003 | 389 | |
| 3 | 2001 | 82 | |
| 4 | 2002 | 80 | |
| 5 | 2006 | 80 | |
| 6 | 2004 | 61 | |
| 7 | 2012 | 50 | |
| 8 | 2008 | 45 | |
| 9 | 2001 | 41 | |
| 10 | 2016 | 27 | |
| 11 | 2021 | 22 | |
| 12 | 2011 | 13 |
About Daniel P. Denning
Daniel P. Denning is a scholar working on Molecular Biology, Aging, Endocrine and Autonomic Systems, Cognitive Neuroscience and Behavioral Neuroscience, having authored 12 papers that have together received 1.3k indexed citations. Recurring topics across this work include RNA Research and Splicing (6 papers), Genetics, Aging, and Longevity in Model Organisms (4 papers), Nuclear Structure and Function (4 papers), Genomics and Chromatin Dynamics (3 papers), Pluripotent Stem Cells Research (2 papers), RNA regulation and disease (2 papers), Sleep and Wakefulness Research (2 papers) and Stress Responses and Cortisol (1 paper). The work is most often cited by research in Aging (67 citations), Molecular Biology (966 citations), Immunology (265 citations), Cell Biology (147 citations) and Endocrine and Autonomic Systems (46 citations). Daniel P. Denning has collaborated with scholars based in United States, Russia and Japan. Frequent co-authors include Michael Rexach, H. Robert Horvitz, Samir S. Patel, Vladimir N. Uversky, Anthony L. Fink, Jun Suzuki, Shigekazu Nagata, Victoria Hatch, A. L. Burlingame and Lan Huang. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences, Journal of Biological Chemistry, PLoS Computational Biology and Science.
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.