Daniel J. Emerson
Impact in
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- Genomics and Chromatin Dynamics
- RNA Research and Splicing
- RNA and protein synthesis mechanisms
- Protein Structure and Dynamics
- Epigenetics and DNA Methylation
- Protein Degradation and Inhibitors
- Genomics and Phylogenetic Studies
Papers in
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- Genomics and Chromatin Dynamics 3
- Ubiquitin and proteasome pathways 1
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- Traffic and Road Safety 3
- Co-authors
- Jennifer E. Phillips‐Cremins (5 shared papers)Katelyn R. Titus (4 shared papers)Adrián E. Roitberg (1 shared paper)Dan Sindhikara (1 shared paper)Thomas G. Gilgenast (3 shared papers)Gerd A. Blobel (2 shared papers)Ross C. Hardison (2 shared papers)Belinda Giardine (2 shared papers)
- Journals
- Scientific Reports (2 papers)Nature Methods (1 paper)Molecular Cell (1 paper)Nature (1 paper)Cell (1 paper)
- Partner nations
- United StatesAustraliaJapan
In The Last Decade
Daniel J. Emerson
13 papers receiving 675 citations
Peers
Comparison fields: 5 of 91
- Molecular Biology 547
- Genetics 89
- Plant Science 116
- Cellular and Molecular Neuroscience 46
- Cancer Research 22
Countries citing papers authored by Daniel J. Emerson
This map shows the geographic impact of Daniel J. Emerson'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 J. Emerson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel J. Emerson more than expected).
Fields of papers citing papers by Daniel J. Emerson
This network shows the impact of papers produced by Daniel J. Emerson. 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 J. Emerson. The network helps show where Daniel J. Emerson may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel J. Emerson, 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 | 2019 | 177 | |
| 2 | 2018 | 140 | |
| 3 | 2010 | 105 | |
| 4 | 2017 | 97 | |
| 5 | 2018 | 84 | |
| 6 | 2013 | 45 | |
| 7 | 2011 | 11 | |
| 8 | 2019 | 10 | |
| 9 | Using data mining to predict road crash count with a focus on skid resistance values | 2011 | 5 |
| 10 | Using data mining on road asset management data in analysing road crashes | 2010 | 4 |
| 11 | 2012 | 3 | |
| 12 | 2025 | 1 | |
| 13 | 2013 | 1 | |
| 14 | 2025 | 0 |
About Daniel J. Emerson
Daniel J. Emerson is a scholar working on Molecular Biology, Safety, Risk, Reliability and Quality, Building and Construction, Surgery and Civil and Structural Engineering, having authored 14 papers that have together received 683 indexed citations. Recurring topics across this work include Traffic Prediction and Management Techniques (3 papers), Genomics and Chromatin Dynamics (3 papers), Traffic and Road Safety (3 papers), Infrastructure Maintenance and Monitoring (2 papers), Data Mining Algorithms and Applications (2 papers), Genetics and Neurodevelopmental Disorders (1 paper), Ubiquitin and proteasome pathways (1 paper) and Surgical Simulation and Training (1 paper). The work is most often cited by research in Molecular Biology (547 citations), Genetics (89 citations), Plant Science (116 citations), Cellular and Molecular Neuroscience (46 citations) and Cancer Research (22 citations). Daniel J. Emerson has collaborated with scholars based in United States, Australia and Japan. Frequent co-authors include Jennifer E. Phillips‐Cremins, Katelyn R. Titus, Adrián E. Roitberg, Dan Sindhikara, Thomas G. Gilgenast, Gerd A. Blobel, Ross C. Hardison, Belinda Giardine, Cheryl A. Keller and Peng Huang. Their work appears in journals such as Scientific Reports, Nature Methods, Molecular Cell, Nature and Cell.
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.