Danielle McDougall

661 citations
3 papers · 208 · 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 206 citations

Peers

Danielle McDougall
Comparison fields: 5 of 52
  • Epidemiology 114
  • Endocrinology, Diabetes and Metabolism 51
  • Spectroscopy 39
  • Hepatology 18
  • Biophysics 12
Replace Wei-Jao Chen with:
Wei-Jao Chen Taiwan
Jennifer Cantley United States
Toshihiro Yoneyama Japan
Filipa Carvalho Portugal
Tam M. Nguyen United States
Sneha Muralidharan Singapore
Yuliya Kupriyanova Germany
Isabel Pérez-Mato Spain
Yingzi Qi China
Seo Young Jang South Korea
Danielle McDougall relative to Wei-Jao Chen Taiwan Wei-Jao Chen's profile →
Citations per field
00.5×4.6×
Wei-Jao Chen · 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 208 indexed citations. Recurring topics across this work include Mass Spectrometry Techniques and Applications (2 papers), Diet, Metabolism, and Disease (1 paper), Ion-surface interactions and analysis (1 paper), Metabolomics and Mass Spectrometry Studies (1 paper), Diet and metabolism studies (1 paper), Analytical Chemistry and Chromatography (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 (114 citations), Endocrinology, Diabetes and Metabolism (51 citations), Spectroscopy (39 citations), Hepatology (18 citations) and Biophysics (12 citations). Danielle McDougall has collaborated with scholars based in United States, Australia and United Kingdom. Frequent co-authors include R. E. Patterson, Timothy J. Garrett, Richard A. Yost, Nishanth E. Sunny, Srilaxmi Kalavalapalli, Caroline M. Williams, Manisha Nautiyal, Justin Mathew, James R. Rocca and Kenneth Cusi. Their work appears in journals such as The Analyst, Journal of Chromatography B and American Journal of Physiology-Endocrinology and Metabolism.

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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