Michael O. Duff
- Molecular Biology top 5%
- Genetics top 5%
- Cancer Research top 5%
- Artificial Intelligence top 5%
- Plant Science top 10%
- Co-authors
- Brenton R. GraveleySara OlsonRebecca M. TernsMichael P. TernsPeng ZhaoCaryn HaleLance WellsAndrew G. Barto
- Topics
- RNA Research and Splicing (9 papers)RNA modifications and cancer (7 papers)RNA and protein synthesis mechanisms (5 papers)
- Partner nations
- United StatesUnited KingdomJapan
In The Last Decade
Michael O. Duff
24 papers receiving 2.8k citations
Hit Papers
Peers
Comparison fields: 5 of 140
- Molecular Biology 2.0k
- Genetics 425
- Cancer Research 407
- Artificial Intelligence 260
- Plant Science 222
Countries citing papers authored by Michael O. Duff
This map shows the geographic impact of Michael O. Duff'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 Michael O. Duff with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael O. Duff more than expected).
Fields of papers citing papers by Michael O. Duff
This network shows the impact of papers produced by Michael O. Duff. 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 Michael O. Duff. The network helps show where Michael O. Duff may publish in the future.
Co-authorship network of co-authors of Michael O. Duff
This figure shows the co-authorship network connecting the top 25 collaborators of Michael O. Duff. A scholar is included among the top collaborators of Michael O. Duff based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Michael O. Duff. Michael O. Duff is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 27 | |
| 2 | 55 | |
| 3 | 104 | |
| 4 | 19 | |
| 5 | 61 | |
| 6 | 145 | |
| 7 | 12 | |
| 8 | Regulatory divergence in Drosophila revealed by mRNA-seq (vol 20, pg 816, 2010) | 1 |
| 9 | 187 | |
| 10 | 39 | |
| 11 | 317 | |
| 12 | 85 | |
| 13 | 298 | |
| 14 | 162 | |
| 15 | RNA-Guided RNA Cleavage by a CRISPR RNA-Cas Protein Complexbreakdown → | 793 |
| 16 | 104 | |
| 17 | Monte-Carlo Algorithms for the Improvement of Finite-State Stochastic Controllers: Application to Bayes-Adaptive Markov Decision Processes | 2 |
| 18 | Local Bandit Approximation for Optimal Learning Problems | 18 |
| 19 | Reinforcement Learning Methods for Continuous-Time Markov Decision Problems | 176 |
| 20 | Monte Carlo Matrix Inversion and Reinforcement Learning | 36 |
About Michael O. Duff
Michael O. Duff is a scholar working on Cancer Research, Cellular and Molecular Neuroscience and Molecular Biology, having authored 24 papers that have together received 2.8k indexed citations. Recurring topics across this work include RNA Research and Splicing (9 papers), RNA modifications and cancer (7 papers) and RNA and protein synthesis mechanisms (5 papers). The work is most often cited by research in Business and International Management (79 citations), Aging (56 citations) and Molecular Biology (2.0k citations). Michael O. Duff has collaborated with scholars based in United States, United Kingdom and Japan. Frequent co-authors include Brenton R. Graveley, Sara Olson, Rebecca M. Terns, Michael P. Terns, Peng Zhao, Caryn Hale, Lance Wells, Andrew G. Barto, Li Yang and Steven J. Bradtke. Their work appears in journals such as Nature, Cell and Proceedings of the National Academy of Sciences.
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.