Daniel MacDougall
Impact in
-
- Teaching and Learning Programming
- Online Learning and Analytics
- Software top 10%
- Software Testing and Debugging Techniques
Papers in
-
- RNA and protein synthesis mechanisms 4
- RNA modifications and cancer 3
- RNA Research and Splicing 2
-
- Click Chemistry and Applications 1
- Co-authors
- Ruben L. Gonzalez (5 shared papers)Jingyi Fei (3 shared papers)Pallav Kosuri (1 shared paper)Joel Brandt (1 shared paper)Scott Klemmer (1 shared paper)Björn Hartmann (1 shared paper)Jefferson D. Knight (1 shared paper)Hai Lin (1 shared paper)
- Journals
- Molecular Cell (1 paper)The Journal of General Physiology (1 paper)Bioorganic & Medicinal Chemistry Letters (1 paper)Journal of Molecular Biology (1 paper)Methods in enzymology on CD-ROM/Methods in enzymology (1 paper)
- Partner nations
- United States
In The Last Decade
Daniel MacDougall
10 papers receiving 626 citations
Peers
Comparison fields: 5 of 91
- Computer Science Applications 132
- Software 62
- Structural Biology 19
- Molecular Biology 409
- Information Systems 125
Countries citing papers authored by Daniel MacDougall
This map shows the geographic impact of Daniel MacDougall'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 MacDougall with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel MacDougall more than expected).
Fields of papers citing papers by Daniel MacDougall
This network shows the impact of papers produced by Daniel MacDougall. 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 MacDougall. The network helps show where Daniel MacDougall may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel MacDougall, 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 | 2008 | 264 | |
| 2 | 2010 | 224 | |
| 3 | 2018 | 42 | |
| 4 | 2010 | 42 | |
| 5 | 2011 | 35 | |
| 6 | 2014 | 25 | |
| 7 | 2006 | 24 | |
| 8 | 1952 | 19 | |
| 9 | 2011 | 3 | |
| 10 | 2011 | 2 |
About Daniel MacDougall
Daniel MacDougall is a scholar working on Molecular Biology, Organic Chemistry, Structural Biology, Information Systems and Physiology, having authored 10 papers that have together received 680 indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (4 papers), RNA modifications and cancer (3 papers), RNA Research and Splicing (2 papers), Software Engineering Techniques and Practices (1 paper), Click Chemistry and Applications (1 paper), Plant Micronutrient Interactions and Effects (1 paper), Advanced Electron Microscopy Techniques and Applications (1 paper) and Calcium signaling and nucleotide metabolism (1 paper). The work is most often cited by research in Computer Science Applications (132 citations), Software (62 citations), Structural Biology (19 citations), Molecular Biology (409 citations) and Information Systems (125 citations). Daniel MacDougall has collaborated with scholars based in United States. Frequent co-authors include Ruben L. Gonzalez, Jingyi Fei, Pallav Kosuri, Joel Brandt, Scott Klemmer, Björn Hartmann, Jefferson D. Knight, Hai Lin, Arun Anantharam and Skyler L. Jackman. Their work appears in journals such as Molecular Cell, The Journal of General Physiology, Bioorganic & Medicinal Chemistry Letters, Journal of Molecular Biology and Methods in enzymology on CD-ROM/Methods in enzymology.
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.