Daniel MacDougall

870 citations
8 papers · 602 · h-index 8

Impact in

Papers in

    • RNA and protein synthesis mechanisms 2
    • RNA modifications and cancer 2
    • Biochemical and Molecular Research 1
    • ATP Synthase and ATPases Research 1
    • Click Chemistry and Applications 1

Daniel MacDougall

8 papers receiving 578 citations

Peers

Daniel MacDougall
Comparison fields: 5 of 86
  • Computer Science Applications 94
  • Software 57
  • Structural Biology 15
  • Molecular Biology 385
  • Information Systems 112
Replace Gabriel David with:
Gabriel David Portugal
Michal Gordon Israel
Jérôme Waldispühl Canada
Szymon Wąsik Poland
Masami Hagiya Japan
R. Clyde White United Kingdom
Shoaib Sufi United Kingdom
Christopher H. Bryant United Kingdom
Andrew Finney United States
Anirban Majumder United States
Daniel MacDougall relative to Gabriel David Portugal Gabriel David's profile →
Citations per field
00.5×3.8×
Gabriel David · 1×
Citations per year

Countries citing papers authored by Daniel MacDougall

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Daniel MacDougall Line = papers co-authored together Daniel MacDougall links everyone, so they are left out of the graph.

All Works

8 of 8 papers shown
#Work
1 2008249
2 2010176
3 201039
4 201839
5 201133
6 201425
7 200624
8 195217

About Daniel MacDougall

Daniel MacDougall is a scholar working on Molecular Biology, Organic Chemistry, Information Systems, Physiology and Cell Biology, having authored 8 papers that have together received 602 indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (2 papers), RNA modifications and cancer (2 papers), Agricultural Science and Fertilization (1 paper), Banana Cultivation and Research (1 paper), Biochemical and Molecular Research (1 paper), ATP Synthase and ATPases Research (1 paper), Bacterial Genetics and Biotechnology (1 paper) and Click Chemistry and Applications (1 paper). The work is most often cited by research in Computer Science Applications (94 citations), Software (57 citations), Structural Biology (15 citations), Molecular Biology (385 citations) and Information Systems (112 citations). Daniel MacDougall has collaborated with scholars based in United States. Frequent co-authors include Ruben L. Gonzalez, Jingyi Fei, Pallav Kosuri, Björn Hartmann, Scott Klemmer, Joel Brandt, Arun Anantharam, Hai Lin, Skyler L. Jackman and Jefferson D. Knight. Their work appears in journals such as Analytical Chemistry, Bioorganic & Medicinal Chemistry Letters, The Journal of General Physiology, Molecular Cell and Journal of Molecular Biology.

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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