Danielle McDougall

676 citations
3 papers · 219 · h-index 3

Impact in

Papers in

    • Mass Spectrometry Techniques and Applications 2
    • Analytical Chemistry and Chromatography 1
    • Metabolomics and Mass Spectrometry Studies 1

Danielle McDougall

3 papers receiving 217 citations

Peers

Danielle McDougall
Comparison fields: 5 of 50
  • Epidemiology 103
  • Endocrinology, Diabetes and Metabolism 45
  • Spectroscopy 43
  • Biophysics 14
  • Biochemistry 15
Replace A. Brehm with:
A. Brehm Austria
Jennifer Cantley United States
Wei-Jao Chen Taiwan
Sneha Muralidharan Singapore
Toshihiro Yoneyama Japan
Filipa Carvalho Portugal
Aaron Robinson United States
T. Bednarski United States
Yuliya Kupriyanova Germany
Venkatesh Gopalan Singapore
Danielle McDougall relative to A. Brehm Austria A. Brehm's profile →
Citations per field
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A. Brehm · 1×
Citations per year

Countries citing papers authored by Danielle McDougall

Since Specialization
Citations

This map shows the geographic impact of Danielle McDougall'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 Danielle McDougall with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Danielle McDougall more than expected).

Fields of papers citing papers by Danielle McDougall

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Danielle McDougall. 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 Danielle McDougall. The network helps show where Danielle McDougall may publish in the future.

Co-authors

The 16 scholars most cited alongside Danielle McDougall, 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 Danielle McDougall Line = papers co-authored together Danielle McDougall links everyone, so they are left out of the graph.

All Works

About Danielle McDougall

Danielle McDougall is a scholar working on Spectroscopy, Molecular Biology, Computational Mechanics, Epidemiology and Endocrinology, Diabetes and Metabolism, having authored 3 papers that have together received 219 indexed citations. Recurring topics across this work include Mass Spectrometry Techniques and Applications (2 papers), Diet and metabolism studies (1 paper), Analytical Chemistry and Chromatography (1 paper), Metabolomics and Mass Spectrometry Studies (1 paper), Ion-surface interactions and analysis (1 paper), Diet, Metabolism, and Disease (1 paper), Liver Disease Diagnosis and Treatment (1 paper) and Spectroscopy Techniques in Biomedical and Chemical Research (1 paper). The work is most often cited by research in Epidemiology (103 citations), Endocrinology, Diabetes and Metabolism (45 citations), Spectroscopy (43 citations), Biophysics (14 citations) and Biochemistry (15 citations). Danielle McDougall has collaborated with scholars based in United States, France and Australia. Frequent co-authors include R. E. Patterson, Timothy J. Garrett, Richard A. Yost, Nishanth E. Sunny, James R. Rocca, Mary K. Reinhard, Manisha Nautiyal, Srilaxmi Kalavalapalli, Kenneth Cusi and Caroline M. Williams. Their work appears in journals such as American Journal of Physiology-Endocrinology and Metabolism, The Analyst and Journal of Chromatography B.

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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