Michael O. Duff

12.9k citations
24 papers · 2.8k · 1 hit paper · h-index 19

Impact in

Papers in

Michael O. Duff

24 papers receiving 2.8k citations

Michael O. Duff's Hit Papers

RNA-Guided RNA Cleavage by a CRISPR RNA-Cas Protein Complex 2009 · 793 citations
7930+5+11Years since publication250500750

Peers

Michael O. Duff
Comparison fields: 5 of 140
  • Business and International Management 79
  • Aging 56
  • Molecular Biology 2.0k
  • Cancer Research 407
  • Endocrinology 94
Replace Shuo Han with:
Shuo Han China
Ankit Gupta India
Jennifer Listgarten United States
Beth A. Cimini United States
Jian Ma United States
Shaojie Zhang United States
Nicolò Fusi United Kingdom
Christian Iseli Switzerland
Zhanjun Li China
Wei Jin China
Michael O. Duff relative to Shuo Han China Shuo Han's profile →
Citations per field
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Citations per year

Countries citing papers authored by Michael O. Duff

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1
RNA-Guided RNA Cleavage by a CRISPR RNA-Cas Protein Complex
Hit paper breakdown →
2009793
2 2011317
3 2010298
4 2012187
5
Reinforcement Learning Methods for Continuous-Time Markov Decision Problems
1994176
6 2010162
7 2015145
8
Optimal learning: computational procedures for bayes-adaptive markov decision processes
2002130
9 2017104
10 2005104
11 201085
12 201561
13 201755
14 200142
15 201239
16
Monte Carlo Matrix Inversion and Reinforcement Learning
199336
17 202027
18 201519
19
Local Bandit Approximation for Optimal Learning Problems
199618
20 201512

About Michael O. Duff

Michael O. Duff is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Cancer Research, Artificial Intelligence and Surgery, 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), RNA and protein synthesis mechanisms (5 papers), Reinforcement Learning in Robotics (3 papers), Cancer-related molecular mechanisms research (3 papers), Neurotransmitter Receptor Influence on Behavior (2 papers), Pancreatic function and diabetes (1 paper) and Hereditary Neurological Disorders (1 paper). The work is most often cited by research in Business and International Management (79 citations), Aging (56 citations), Molecular Biology (2.0k citations), Cancer Research (407 citations) and Endocrinology (94 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, Lance Wells, Peng Zhao, Michael P. Terns, Rebecca M. Terns, Caryn Hale, Andrew G. Barto, Li Yang and Steven J. Bradtke. Their work appears in journals such as Genome Research, Cell Reports, PLoS ONE, Acta Neuropathologica Communications and FEBS Letters.

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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