David G. McLaren
- Spectroscopy top 2%
- Mass Spectrometry Techniques and Applications 14
- Analytical Chemistry and Chromatography 8
- Genetics top 5%
- Molecular Biology top 10%
- Metabolomics and Mass Spectrometry Studies 18
- Peroxisome Proliferator-Activated Receptors 10
- CRISPR and Genetic Engineering 6
- Biochemistry top 5%
- Lipid metabolism and biosynthesis 6
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- Cholesterol and Lipid Metabolism 7
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- Adipose Tissue and Metabolism 6
- Co-authors
- Alan J. MilehamJosé Castro‐PerezThomas P. RoddyVinit ShahStephen F. PrevisBruce WhitelawChris ProudfootSimon Lillico
- Journals
- Journal of the American Chemical Society (1 paper)Nucleic Acids Research (1 paper)Angewandte Chemie International Edition (1 paper)
- Partner nations
- United StatesCanadaNetherlands
In The Last Decade
David G. McLaren
68 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 110
- Spectroscopy 363
- Genetics 587
- Molecular Biology 1.2k
- Business and International Management 32
- Biochemistry 107
Countries citing papers authored by David G. McLaren
This map shows the geographic impact of David G. McLaren'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 David G. McLaren with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David G. McLaren more than expected).
Fields of papers citing papers by David G. McLaren
This network shows the impact of papers produced by David G. McLaren. 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 David G. McLaren. The network helps show where David G. McLaren may publish in the future.
Co-authorship network
The 25 scholars most cited alongside David G. McLaren, 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 | 2025 | 3 | |
| 2 | 2024 | 8 | |
| 3 | 2023 | 6 | |
| 4 | 2023 | 2 | |
| 5 | 2022 | 17 | |
| 6 | 2022 | 4 | |
| 7 | 2021 | 30 | |
| 8 | 2017 | 21 | |
| 9 | 2017 | 9 | |
| 10 | 2017 | 5 | |
| 11 | 2016 | 2 | |
| 12 | 2016 | 9 | |
| 13 | 2016 | 84 | |
| 14 | 2012 | 12 | |
| 15 | 2011 | 15 | |
| 16 | 2011 | 11 | |
| 17 | 2011 | 41 | |
| 18 | 2002 | 12 | |
| 19 | 2001 | 55 | |
| 20 | 1990 | 2 |
About David G. McLaren
David G. McLaren is a scholar working on Biochemistry, Spectroscopy and Clinical Biochemistry, having authored 71 papers that have together received 1.8k indexed citations. Recurring topics across this work include Metabolomics and Mass Spectrometry Studies (18 papers), Mass Spectrometry Techniques and Applications (14 papers), Peroxisome Proliferator-Activated Receptors (10 papers), Analytical Chemistry and Chromatography (8 papers), Cholesterol and Lipid Metabolism (7 papers), CRISPR and Genetic Engineering (6 papers), Lipid metabolism and biosynthesis (6 papers) and Adipose Tissue and Metabolism (6 papers). The work is most often cited by research in Spectroscopy (363 citations), Genetics (587 citations) and Molecular Biology (1.2k citations). David G. McLaren has collaborated with scholars based in United States, Canada and Netherlands. Frequent co-authors include Alan J. Mileham, José Castro‐Perez, Thomas P. Roddy, Vinit Shah, Stephen F. Previs, Bruce Whitelaw, Chris Proudfoot, Simon Lillico, Douglas G. Johns and Tim King. Their work appears in journals such as Journal of the American Chemical Society, Nucleic Acids Research and Angewandte Chemie International Edition.
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.